The synchronizer is a key component of automatic mechanical transmission(AMT)equipped in electric vehicles,but the inertial lock-ring synchronizer(ILRS)commonly used there is not suitable especially for pure electric ...The synchronizer is a key component of automatic mechanical transmission(AMT)equipped in electric vehicles,but the inertial lock-ring synchronizer(ILRS)commonly used there is not suitable especially for pure electric vehicles without a clutch because of big shift impact.To make the shifting process rapid and smooth,a new synchronizer named pressure-controllable friction ring synchronizer(PCFRS)was designed.Initially,the inevitable shortcoming of ILRS was verified by simulation and test.Furthermore,the mechanical characteristics and advantages of the new synchronizer over ILRS were analyzed.Then,the formulations describing the dynamic transmission based on the working mechanism of the PCFRS were established.Finally,the shifting simulation results with PCFRS and ILRS based on the same operating conditions were compared and analyzed.The research shows that the PCFRS can meet the main shifting evaluation index of an AMT without complex control methods,as well as it takes only 0.2406 s to finish the comfortable and zero-speed-difference shifting.The shifting quality of PCFRS is better than that of the ILRS.It lays a foundation for using the new synchronizer as a part of clutchless AMTs equipped in pure electric vehicles.展开更多
A new early-late synchronizer is proposed to improve tracking speed. The performance of the traditional early-late synchronizer is analyzed in detail, the result shows that the different location and length of integra...A new early-late synchronizer is proposed to improve tracking speed. The performance of the traditional early-late synchronizer is analyzed in detail, the result shows that the different location and length of integral period can influence the discriminator characteristic, an improved integral structure is provided which can tracking the synchronization error better. According to the good tracking performance of Kalman filter, a new loop filter is designed. The new early-late synchronizer adopts both the new integral structure and the new loop filter. The analysis with loop theory and simulation results in Simulink show that the new bit synchronizer possesses higher tracking speed than the traditional early-late synchronizer.展开更多
Metal flowing has been numerically simulated for synchronizer hub at different forming conditions. The influences of billet shape, frictional factor,deformation degree and radius of rounded corner on form- ing for bee...Metal flowing has been numerically simulated for synchronizer hub at different forming conditions. The influences of billet shape, frictional factor,deformation degree and radius of rounded corner on form- ing for been studied and the processing parameters have been optimized. On the basis, a new technol- ogy of refilling multiplicity forming has been put forward and workpiece that meets the requirement of synchronizer hub has been manufactured.展开更多
Cooperative integrated sensing and communication(ISAC),an advanced version of ISAC,is becoming an inevitable paradigm in sixth-generation mobile information networks.Based on the foundation of largescale deployed mobi...Cooperative integrated sensing and communication(ISAC),an advanced version of ISAC,is becoming an inevitable paradigm in sixth-generation mobile information networks.Based on the foundation of largescale deployed mobile networks,cooperative ISAC holds promise to realize ubiquitous sensing,thus becoming a significant step in promoting the transformation from connected things to connected intelligence.In this paper,we depict a sweeping panorama of cooperative ISAC,including the concept,key technologies,a performance evaluation framework,and field trials.We start by introducing the application scenarios of cooperative ISAC,which are the motivation for its commercialization.Next,from the perspective of technical development,we trace the evolution of cooperative ISAC,noting that cooperation within sensing and communication is an objective trend.We reveal the four core features of cooperative ISAC-denoted herein as network-enabled,integration,cooperation,and everything-and provide a general system model.Regarding key technologies,we introduce our contributions to antenna array design,cooperative clustering,synchronization,and data fusion,as well as interference management and networking.We also propose an evaluation framework and define several key performance indicators for cooperative ISAC.Through system-level simulations and field trials,we show the practical application feasibility of cooperative ISAC.Finally,we provide guidance on future research directions in cooperative ISAC.展开更多
This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linea...This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linearity and mismatched switching jump coefficients.Based on Filippov solution theory and Lyapunov methods,this work develops an enhanced FxTS criterion delivering a tighter upper bound on convergence time and thereby extending guaranteed fixed-time behavior to a wider range of networks.A refined PTS condition that incorporates additional state-dependent terms accelerates error decay and reduces conservatism during the transient response.Numerical simulations show that the convergence rate of PTS under this strategy is significantly improved.Moreover,an optimization model with minimum control energy and dynamic error as objective functions is proposed to obtain more accurate controller parameters,and the stochastic inertia weight particle swarm optimization(SIWPSO)algorithm is introduced to solve the optimization model.Numerical studies not only validate the theoretical results for both FxTS and PTS but also demonstrate a secure communication application in which the chaos of the IMNNs acts as a masking carrier and enables perfect encryption and decryption of a complex test signal through SIWPSO-optimized FxTS and PTS.展开更多
Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchro...Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchronization challenge where all state components must be synchronized to the origin following a predefined convergence sequence.A controller is proposed to solve the predefined-sequencesynchronized control problem in first-order affine systems,and the proposed controller can regulate the convergence sequence of state components by adjusting their ratios.展开更多
The objective of this study was to identify an application strategy for a blend of two controlled-release nitrogen fertilizers(CRNFs) that optimized yield and N-use efficiency of late japonica rice in the Yangtze Rive...The objective of this study was to identify an application strategy for a blend of two controlled-release nitrogen fertilizers(CRNFs) that optimized yield and N-use efficiency of late japonica rice in the Yangtze River Delta. In a two-year field experiment using high-yield split-applied urea(CK) and no-N fertilization as control(N0), nine CRNF treatments were evaluated for their effects on grain yield, N uptake(NUP), soil ammonium nitrogen(NH4+-N) dynamics, and ammonia volatilization(AV). The treatments included sulfur-coated urea(SCU), urease inhibitor urea(AHA), 90-d polymer-coated urea(P90), 120-d polymer-coated urea(P120), and five BBFs prepared by mixing CRNFs at a 3:7 ratio(AHAP90, SP90,AHAP120, SP120, and P90P120). Based on N release characteristics, CRNFs were categorized into four release modes: pre-positioned single-peak(PrSRM), post-positioned single-peak(PoSRM), decreasing double-peak(DDRM), and increasing double-peak(IDRM). Synchronization between soil NH4+-N dynamics under CRNFs and plant N uptake rate(NUPR) under CK was quantified using dynamic time warping(DTW), with smaller values indicating higher synchrony. Results showed that single-peak release modes significantly reduced grain yield and NUP by 12.6% and 10.5%, respectively. The IDRM treatment, a blend of 90-d and 120-d polymer-coated urea, showed NH4+-N supply dynamics most closely matching the N demand of high-yielding rice, with lower two-year average DTW values(SSRDTW 1.01, NUPSDTW1.72) than DDRM(1.03 and 2.00), which translated into increases in spikelet number, grain yield, and NUP by 4.49%,6.03%, and 4.85%, respectively, while decreasing AV by 86.7% compared with CK. One-time application of IDRM fertilizer can align soil NH4+-N supply with rice N demand, ensure high yield, and reduce N losses,providing an optimized fertilization strategy for sustainable rice production in the Yangtze River Delta.展开更多
In response to the challenge of achieving reliable and repeatable ignition in scramjet combustors at low flight Mach numbers,this paper introduces a kerosene-air gliding arc plasma(GAfa)igniter.Experimental investi...In response to the challenge of achieving reliable and repeatable ignition in scramjet combustors at low flight Mach numbers,this paper introduces a kerosene-air gliding arc plasma(GAfa)igniter.Experimental investigations were conducted at a freestream total temperature of 900 K and a freestream velocity of Mach number 4,supplemented by Large Eddy Simulation(LES)to clarify the fundamental mechanisms of GAfa-enhanced ignition in supersonic flows.Experiments on dual GAfaigniter-assisted ignition under different Global Equivalence Ratios(GER)show that the GAfaigniter significantly expands ignition limits compared to conventional high-energy spark igniters.The ignition process exhibits a critical GER threshold,leading to transitions among ignitionfailue,upstream cavity(C1)stabilization,flame blowout,and downstream cavity(C2)stabilization.Numerical simulations under pure-mixing conditions reveal that at low GER,insufficient Local Equivalence Ratios(LER)and poor kerosene atomization causefailure.As GER increases,C1achieves suitable LER first for ignition.At high GER,combustion-induced adverse pressure in C2prevents strong shock train formation upstream of C1,while enhanced turbulence from C1promotes C2recirculation zone reactions,stabilizing the flame exclusively in C2.展开更多
In China,gas storage in deep salt caverns faces challenges due to high in situ stresses,elevated geothermal temperatures,and the presence of interbedded salt-mudstone formations.These factors lead to heterogeneous def...In China,gas storage in deep salt caverns faces challenges due to high in situ stresses,elevated geothermal temperatures,and the presence of interbedded salt-mudstone formations.These factors lead to heterogeneous deformation and stress concentration,which adversely affect the stability and sealing capacity of salt caverns.To address these issues,this study systematically investigates the differences in the mechanical responses of a dual-cavern system located in a representative deep salt district under synchronous and asynchronous injection-production processes.The impacts of key operating parameters on the long-term deformation evolution of salt caverns under thermo-mechanical coupling are examined,and the effectiveness of the asynchronous operation strategy in optimizing the cavern stability is quantitatively evaluated.The results demonstrate that asynchronous operation significantly enhances the stability of the inter-cavern pillar.Specifically,this strategy disrupts the connection between zones with high stress-to-strength ratios,thereby reducing the risk of coupled failure between the two salt caverns.Furthermore,this strategy improves the distribution of the dilatancy safety factor of the surrounding rocks.Asynchronous operation also performs well in mitigating long-term deformation of the salt caverns,resulting in a lower risk of unilateral pillar instability,reduced cavern roof subsidence,and diminished volume shrinkage.Notably,asynchronous operation can effectively suppress cavern deformation under high-frequency injection-production cycles.Increasing the operating rate and decreasing the minimum pressure result in decelerating and accelerating deformation trends,respectively.Sensitivity analysis identifies the minimum pressure as the primary factor directly controlling cavern deformation,while operating frequency benefits most from the adoption of an asynchronous operation strategy.Overall,the findings of this study are expected to advance the construction and operational optimization of deep salt caverns for gas storage in China.展开更多
This paper concentrates on the study of passivity-based synchronization of inertial neural networks including Markov jump parameters.The second-order differential equations are converted into first-order differential ...This paper concentrates on the study of passivity-based synchronization of inertial neural networks including Markov jump parameters.The second-order differential equations are converted into first-order differential equations using the variable transformation method.To make effective use of network bandwidth resources and to optimize the Markov jump inertial neural networks(MJINNs)performance,an adaptive event-driven protocol controller is studied.To achieve synchronization,an appropriate Lyapunov-Krasovskii functional(LKF)is constructed,which includes double integral terms that capture the information of time-varying delay terms.Some sufficient conditions are obtained in terms of linear matrix inequalities(LMIs)using Reciprocal convex combination lemma(RCCL).Then,a numerical simulation and an application of image encryption are carried out to illustrate the effectiveness of the proposed method.展开更多
A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisso...A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisson jumps(ISIDSP).The AIIC control strategy inherits the flexibility of aperiodically intermittent control,including the variable control period,adjustable control interval length,and the discretization of impulsive control.In addition,this article introduces a novel mild Itô's formula.By leveraging semigroup theory,the contraction mapping principle,and graph theory,along with constructing the Lyapunov function,the criterion for the existence and uniqueness of a mild solution of ISIDSP is thereby established.Furthermore,the mean-square exponential synchronization problem of the above systems is resolved,and the constraints within the mild solution domain are alleviated.These criteria clarify the impact of control parameters,control intervals and network topology on ESMS.The theoretical results are subsequently applied to a class of neural networks with reaction-diffusion processes,and the validity of the results is verified using numerical simulations.展开更多
With the development of Sixth-Generation(6G)mobile communication technologies,Low Earth Orbit(LEO)satellite communication systems have become extremely important in mobile communications owing to their large coverage,...With the development of Sixth-Generation(6G)mobile communication technologies,Low Earth Orbit(LEO)satellite communication systems have become extremely important in mobile communications owing to their large coverage,high efficiency,and low cost.However,the high dynamic LEO satellite channels cause serious time-frequency dual selective fading,significantly impairing the performance of conventional single time or frequency domain synchronization algorithms and limiting their applicability.To address these challenges,this paper proposes a synchronization algorithm based on Linear Frequency Modulation(LFM)signals and the Fractional Fourier Transform(FRFT).Exploiting the inherent robustness of LFM signals against frequency deviations and multipath effects,coupled with their energy concentration property in the optimal fractional Fourier domain,the proposed algorithm enables efficient synchronization with enhanced resilience to time-frequency variations.Furthermore,LFM preamble sequences are optimally designed for diverse channel conditions.This work presents a theoretical analysis of the time-frequency nonstationary characteristics of LEO satellite channels and discusses the performance limitations of traditional synchronization algorithms.The proposed integrated FRFTLFM synchronization framework and sequence optimization scheme are rigorously evaluated via comprehensive simulations.The results demonstrate substantial improvements in synchronization accuracy and computational efficiency compared with conventional methods,particularly under time-frequency dual selective fading LEO satellite channels.The algorithm provides a robust and reliable solution for time-frequency synchronization in LEO satellite communication systems,thereby enhancing overall system performance and reliability.展开更多
Bone adhesives have emerged as promising alternatives for complex fracture fixation.However,discrepancies between material degradation rates and the physiological timeline of bone healing remain a critical limitation....Bone adhesives have emerged as promising alternatives for complex fracture fixation.However,discrepancies between material degradation rates and the physiological timeline of bone healing remain a critical limitation.Here,a polyurethane-based adhesive(TNC)was developed,synthesized from trimeric hexamethylene diisocyanate,nano-hydroxyapatite,and type I collagen.The TNC demonstrates strong initial adhesion to both wet and blood-contaminated bone surfaces and exhibits excellent biocompatibility.A distinguishing feature of TNC is its capacity to synchronize degradation with the stages of bone healing.During degradation,TNC forms a mineralized surface layer that releases calcium ions.The calcium ions activate cathepsin K,an enzyme integral to bone remodeling.This calcium-mediated mechanism accelerates TNC degradation by 1.9-fold during the remodeling phase compared to the initial phase.In a rat skull fracture model,TNC supported effective fracture stabilization and achieved favorable bone regeneration at 8 weeks after implantation.These findings demonstrate that TNC combines early mechanical stability with phasespecific degradability to facilitate bone regeneration in a temporally-controlled manner.The present work provides a framework for the development of bio-responsive bone adhesives that synchronize degradation behavior with healing phases for orthopedic applications.展开更多
Background:The synchronous occurrence of hepatocellular carcinoma(HCC)and clear cell renal cell carcinoma(ccRCC)is rare and poses significant therapeutic challenges,particularly in elderly patients with comorbidities....Background:The synchronous occurrence of hepatocellular carcinoma(HCC)and clear cell renal cell carcinoma(ccRCC)is rare and poses significant therapeutic challenges,particularly in elderly patients with comorbidities.Although both malignancies may respond to immune checkpoint inhibitors(ICIs),evidence supporting a unified immunotherapeutic approach remains limited.This report aims to describe the clinical course and outcomes of dual immune checkpoint blockade(ICB)in a patient with synchronous HCC and ccRCC.Case Description:We describe a patient in their 80s with synchronous advanced HCC and ccRCC,with underlying cirrhosis related to hepatitis C virus infection and cardiovascular comorbidities.Following multidisciplinary evaluation,treatment with nivolumab plus ipilimumab was initiated.Early radiologic assessment demonstrated a partial response in the renal lesion and an apparent increase in the hepatic lesion,consistent with pseudoprogression.Continued therapy led to progressive reduction of the hepatic lesion and sustained control of the renal tumor.At approximately 18 months of follow-up,both lesions showed durable radiologic response with excellent tolerability and no immune-related adverse events.At the time of writing(April 2026),the patient remains on treatment.Conclusions:This case highlights the feasibility and potential efficacy of a unified immunotherapeutic strategy in synchronous immunogenic malignancies.It also underscores the importance of careful interpretation of radiologic findings during immunotherapy,particularly in HCC where atypical response patterns such as pseudoprogression may occur.These findings provide real-world insight into personalized immunotherapy approaches for complex oncologic scenarios.展开更多
With the increasing penetration level of renewable energy sources(RES)interfaced with the grids by power electronic converters,the grid forming(GFM)control of converters is recognized as one of the promising solutions...With the increasing penetration level of renewable energy sources(RES)interfaced with the grids by power electronic converters,the grid forming(GFM)control of converters is recognized as one of the promising solutions in dealing with challenges such as grid transient stability enhancement required for future power electronic converter-dominated power grids.However,the physical nature of the limited overcurrent capability of GFM converter constrains its application including grid transient stability enhancement during grid faults.To address this problem,this paper first analyzes the mechanism of grid transient stability and overcurrent of GFM converter during grid faults.Then,an adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converter for grid transient stability enhancement is proposed,which can suppress the overcurrent of the GFM converter and enhance the grid transient stability simultaneously during grid faults.Meanwhile,a detailed quantitative analysis of parameter tuning of the proposed control is conducted,ensuring the robustness of the proposed control strategy in different fault depths and fault duration times.Finally,case studies are simulated in the PSCAD/EMTDC software to verify the effectiveness of the proposed control strategy.展开更多
Accurate excitation current prediction is crucial for the high-performance control of synchronous machines(SMs),which are widely employed in industrial drives such as electro-spindles.However,achieving accurate and ge...Accurate excitation current prediction is crucial for the high-performance control of synchronous machines(SMs),which are widely employed in industrial drives such as electro-spindles.However,achieving accurate and generalizable prediction across multiple operating points is challenging due to coupled nonlinearities like thermal drift and magnetic saturation.This study proposes a novel prediction model based on the extended long short-term memory(xLSTM)network.The model integrates scalar LSTM(sLSTM)and matrix LSTM(mLSTM)units and leverages an exponential gating mechanism to enhance the capability for learning complex nonlinear mappings and long-term dependencies.Specifically,the vectorized parallel memory structure of sLSTM is suited to capturing slow parameter variations caused by thermal drift,while the matrix associative memory mechanism of mLSTM excels at learning multi-variable nonlinear coupling effects such as magnetic saturation.These two modules form a complementary hybrid architecture.Comparative analyses against traditional LSTM and gate recurrent unit(GRU)benchmarks were conducted using SM monitoring data covering various load and excitation conditions.In addition,an ablation study was performed using xLSTM with varying blending ratios of scalar and matrix LSTM components.Evaluation based on multiple error metrics and computational time demonstrates that the proposed xLSTM achieves superior accuracy,stronger generalization,lower computational overhead,and higher prediction stability.The underlying mechanisms are analyzed from architectural and algorithmic perspectives.These findings offer a novel datadriven modeling approach for SM excitation current,with potential value for applications requiring high-fidelity motor state estimation.展开更多
The efficient transfer of tacit knowledge is crucial for enhancing teamwork resilience and promoting collaborative innovation in construction projects.This study used functional near-infrared spectroscopy(fNIRS)hypers...The efficient transfer of tacit knowledge is crucial for enhancing teamwork resilience and promoting collaborative innovation in construction projects.This study used functional near-infrared spectroscopy(fNIRS)hyperscanning technology to measure interpersonal brain synchronization(IBS)during the transfer of different classifications of tacit knowledge.This study explored the relationships among types of tacit knowledge,IBS during the transfer process,and the performance of tacit knowledge transfer.Finally,the role of knowledge behavioral characteristics in the process of tacit knowledge transfer was revealed.The results show that i)there is a significant IBS between the sender and receiver during the transfer task,with the IBS level of the cognitive tacit knowledge group being significantly lower than that of the technical tacit knowledge group.ii)There is a significant causal relationship between the IBS level of the transferring subjects and transfer performance,and the type of tacit knowledge influences transfer performance through IBS.iii)The tacit knowledge learning willingness of the receiver and the tacit knowledge sharing willingness of the sender moderate the relationship between the classification of tacit knowledge and the IBS level,and the absorptive capacity of the receiver moderates the relationship between the IBS level and tacit knowledge transfer performance.This study identifies the transfer mechanism of engineering tacit knowledge and provides a reliable predictor for the performance of tacit knowledge transfer with strong hysteresis.展开更多
Modern/distributed electric energy systems,with ever larger penetration of renewable(photovoltaic,wind,wave,and hydro)energy sources and time-variable outputs,are in need of stronger/higher frequency and alternating c...Modern/distributed electric energy systems,with ever larger penetration of renewable(photovoltaic,wind,wave,and hydro)energy sources and time-variable outputs,are in need of stronger/higher frequency and alternating current(AC)(direct current(DC))voltage control.In fact,faster and more stable active and reactive power in the presence of frequency and voltage sags and swells is needed.Power electronics-controlled variable speed generators do not have enough energy storage(inertia)for the scope(static synchronous compensators(STATCOMs)included).This is because power electronics tends to decouple the generator from the power system.While virtual inertia control in doubly fed induction generators(DFIGs)offers a partial solution to these problems,a more robust and comprehensive framework is required for advanced grid support.This is how,by extending the dual-excitation principles,the dualaxis excited electric synchronous generators(DE-SG)provide superior flexibility in two variants summarized here:as a multifunctional DFIG and dual-axis vs.single-axis excited synchronous generator(SG),and as a synchronous condenser(SC),with dual DC and AC excitation(as a no-load DFIG with inertia wheel),where variable speed is used to accelerate/decelerate the SC and thus provide additional assistance in frequency stabilization.These solutions,good for short-time transients,are not meant,however,to replace the large bidirectional energy storage systems(pump-hydro,hydrogen,batteries,etc.)which are crucial for the daily inherent variations of output energy in modern power systems with multiple power sources.The present paper offers a summary of techniques used in the dual-axis excited vs.single-axis excited SGs(SE-SGs),and SCs topologies,modeling,and control for better stability in modern multiple-source energy systems.This survey includes multiple case studies to shed light on prominent methods.展开更多
The sensorless control of surface-mounted permanent magnet synchronous motor(SPMSM)usually uses quadrature phase-locked loop(QPLL)to extract the phase information of the back electromotive force to realize the rotor a...The sensorless control of surface-mounted permanent magnet synchronous motor(SPMSM)usually uses quadrature phase-locked loop(QPLL)to extract the phase information of the back electromotive force to realize the rotor angle estimation.However,the traditional QPLL has a convergence deviation of 180°when the motor is reversed,and the angle estimation error is obvious when the motor is accelerated and decelerated.To solve these problems,an enhanced QPLL(EQPLL)with polarity correction and high precision angle feedforward compensation is proposed.Firstly,the traditional phase discriminator is improved based on the two-phase stationary coordinate system,and the polarity correction function is designed by the error component of the improved phase discriminator to realize the non convergent deviation angle estimation under the forward and reverse switching conditions of the motor.In addition,the error component of the improved phase discriminator is used as the feedforward compensation signal,and the enhanced generalized integrator is used to filter it,so as to realize the angle error compensation with low delay and low noise.Finally,the proposed scheme is verified by experiment on the motor platform,and compared with the existing scheme.The experimental results show that the proposed scheme can realize the polarity correction and angle error elimination,and at the same time,the noise mean square error is reduced by 24.33%compared with the existing angle feedforward compensation scheme.展开更多
Given that the power grid partitioning method relying mainly on line reactive power flow information sees frequent changes in partitioning results with reactive power flow fluctuations under high-proportion fixed-powe...Given that the power grid partitioning method relying mainly on line reactive power flow information sees frequent changes in partitioning results with reactive power flow fluctuations under high-proportion fixed-powerfactor PV-connected distribution networks,and traditional distributed PV collaborative optimization fails to adapt due to such changes,a stable partitioning and distributed PV collaborative optimization method for this scenario is proposed.Firstly,the Gaussian mixture model(GMM)is used to characterize the characteristics of PV reactive power output,obtaining the typical curve of PV reactive power output.Secondly,the Monte Carlo Simulation(MCS)probabilistic power flow calculation is performed to obtain the node voltage distribution of the distribution network.Thirdly,based on the node voltage distribution,the Earth Mover’s Distance(EMD)is used to obtain the statistical distance between any two nodes,and this statistical distance is combined with the electrical distance defined by node voltage sensitivity to form a comprehensive electrical distance.Then,the affinity propagation clustering algorithm is applied,and considering the dynamic reactive power margin requirement,the reactive power/voltage partitioning result is obtained.Based on the reactive power partitioning result,a reactive power optimization model is established with the minimum active power loss of the system as the objective function.The optimization model is convexified using the LinDistFlow equation,and the Alternating Direction Multiplier Method(ADMM)is adopted to coordinate the reactive power output of PV inverters in each partition,achieving global optimal voltage control in the distribution network.Finally,the proposed method is verified using the IEEE 33-bus system.The application of this method reduces the system power loss by 35.94%.Compared with the traditional partitioning method,the partitioning variation rate under Scenario 1 is reduced by 54.17%and that under Scenario 2 is reduced by 70.85%when this method is adopted.This fully demonstrates that the partitioning results of the proposed method are stable,and the collaborative optimization method can improve the system voltage stability and reduce the system power loss.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51775478)Natural Science Foundation of Hebei Province(Grant Nos.E2020203078,E2020203174)+1 种基金Open Project of State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures(Grant No.KF2021-11)Graduate Innovation Funding Project of Hebei Province(Grant No.CXZZSS2021063)。
摘要The synchronizer is a key component of automatic mechanical transmission(AMT)equipped in electric vehicles,but the inertial lock-ring synchronizer(ILRS)commonly used there is not suitable especially for pure electric vehicles without a clutch because of big shift impact.To make the shifting process rapid and smooth,a new synchronizer named pressure-controllable friction ring synchronizer(PCFRS)was designed.Initially,the inevitable shortcoming of ILRS was verified by simulation and test.Furthermore,the mechanical characteristics and advantages of the new synchronizer over ILRS were analyzed.Then,the formulations describing the dynamic transmission based on the working mechanism of the PCFRS were established.Finally,the shifting simulation results with PCFRS and ILRS based on the same operating conditions were compared and analyzed.The research shows that the PCFRS can meet the main shifting evaluation index of an AMT without complex control methods,as well as it takes only 0.2406 s to finish the comfortable and zero-speed-difference shifting.The shifting quality of PCFRS is better than that of the ILRS.It lays a foundation for using the new synchronizer as a part of clutchless AMTs equipped in pure electric vehicles.
基金Sponsored bythe Ministerial Level Advanced Research Foundation(2000)
摘要A new early-late synchronizer is proposed to improve tracking speed. The performance of the traditional early-late synchronizer is analyzed in detail, the result shows that the different location and length of integral period can influence the discriminator characteristic, an improved integral structure is provided which can tracking the synchronization error better. According to the good tracking performance of Kalman filter, a new loop filter is designed. The new early-late synchronizer adopts both the new integral structure and the new loop filter. The analysis with loop theory and simulation results in Simulink show that the new bit synchronizer possesses higher tracking speed than the traditional early-late synchronizer.
摘要Metal flowing has been numerically simulated for synchronizer hub at different forming conditions. The influences of billet shape, frictional factor,deformation degree and radius of rounded corner on form- ing for been studied and the processing parameters have been optimized. On the basis, a new technol- ogy of refilling multiplicity forming has been put forward and workpiece that meets the requirement of synchronizer hub has been manufactured.
基金funding from China Mobile Communications Group Co.,Ltd。
摘要Cooperative integrated sensing and communication(ISAC),an advanced version of ISAC,is becoming an inevitable paradigm in sixth-generation mobile information networks.Based on the foundation of largescale deployed mobile networks,cooperative ISAC holds promise to realize ubiquitous sensing,thus becoming a significant step in promoting the transformation from connected things to connected intelligence.In this paper,we depict a sweeping panorama of cooperative ISAC,including the concept,key technologies,a performance evaluation framework,and field trials.We start by introducing the application scenarios of cooperative ISAC,which are the motivation for its commercialization.Next,from the perspective of technical development,we trace the evolution of cooperative ISAC,noting that cooperation within sensing and communication is an objective trend.We reveal the four core features of cooperative ISAC-denoted herein as network-enabled,integration,cooperation,and everything-and provide a general system model.Regarding key technologies,we introduce our contributions to antenna array design,cooperative clustering,synchronization,and data fusion,as well as interference management and networking.We also propose an evaluation framework and define several key performance indicators for cooperative ISAC.Through system-level simulations and field trials,we show the practical application feasibility of cooperative ISAC.Finally,we provide guidance on future research directions in cooperative ISAC.
基金supported by the National Natural Science Foundation of China(62366014,62473348)Jiangxi Provincial Natural Science Foundation(20252BAC250013)。
摘要This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linearity and mismatched switching jump coefficients.Based on Filippov solution theory and Lyapunov methods,this work develops an enhanced FxTS criterion delivering a tighter upper bound on convergence time and thereby extending guaranteed fixed-time behavior to a wider range of networks.A refined PTS condition that incorporates additional state-dependent terms accelerates error decay and reduces conservatism during the transient response.Numerical simulations show that the convergence rate of PTS under this strategy is significantly improved.Moreover,an optimization model with minimum control energy and dynamic error as objective functions is proposed to obtain more accurate controller parameters,and the stochastic inertia weight particle swarm optimization(SIWPSO)algorithm is introduced to solve the optimization model.Numerical studies not only validate the theoretical results for both FxTS and PTS but also demonstrate a secure communication application in which the chaos of the IMNNs acts as a masking carrier and enables perfect encryption and decryption of a complex test signal through SIWPSO-optimized FxTS and PTS.
基金supported in part by the National Natural Science Foundation of China(62103028)China Postdoctoral Science Foundation(2024M762602)。
摘要Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchronization challenge where all state components must be synchronized to the origin following a predefined convergence sequence.A controller is proposed to solve the predefined-sequencesynchronized control problem in first-order affine systems,and the proposed controller can regulate the convergence sequence of state components by adjusting their ratios.
基金supported by the Sanya Yazhou Bay Science and Technology City Administration (SKJC-2023-02-004)the Key R&D Program of Hainan Province (Science and Technology Commissioner) (ZDYF2024KJTPY009)+1 种基金the National Key Research and Development Program of China (2023YFD2301300, a joint program across multiple provinces including Jiangxi)the Youth Fund of the Natural Science Foundation of Jiangsu Province (BK20241545)。
摘要The objective of this study was to identify an application strategy for a blend of two controlled-release nitrogen fertilizers(CRNFs) that optimized yield and N-use efficiency of late japonica rice in the Yangtze River Delta. In a two-year field experiment using high-yield split-applied urea(CK) and no-N fertilization as control(N0), nine CRNF treatments were evaluated for their effects on grain yield, N uptake(NUP), soil ammonium nitrogen(NH4+-N) dynamics, and ammonia volatilization(AV). The treatments included sulfur-coated urea(SCU), urease inhibitor urea(AHA), 90-d polymer-coated urea(P90), 120-d polymer-coated urea(P120), and five BBFs prepared by mixing CRNFs at a 3:7 ratio(AHAP90, SP90,AHAP120, SP120, and P90P120). Based on N release characteristics, CRNFs were categorized into four release modes: pre-positioned single-peak(PrSRM), post-positioned single-peak(PoSRM), decreasing double-peak(DDRM), and increasing double-peak(IDRM). Synchronization between soil NH4+-N dynamics under CRNFs and plant N uptake rate(NUPR) under CK was quantified using dynamic time warping(DTW), with smaller values indicating higher synchrony. Results showed that single-peak release modes significantly reduced grain yield and NUP by 12.6% and 10.5%, respectively. The IDRM treatment, a blend of 90-d and 120-d polymer-coated urea, showed NH4+-N supply dynamics most closely matching the N demand of high-yielding rice, with lower two-year average DTW values(SSRDTW 1.01, NUPSDTW1.72) than DDRM(1.03 and 2.00), which translated into increases in spikelet number, grain yield, and NUP by 4.49%,6.03%, and 4.85%, respectively, while decreasing AV by 86.7% compared with CK. One-time application of IDRM fertilizer can align soil NH4+-N supply with rice N demand, ensure high yield, and reduce N losses,providing an optimized fertilization strategy for sustainable rice production in the Yangtze River Delta.
基金co-supported by the National Natural Science Foundation of China(Nos.52488101,52025064 and52376138)the Foundation Research Project of China(No.1002TJA22010)the Fundamental Research Funds for the Central Universities,China(No.xzy022025069)。
摘要In response to the challenge of achieving reliable and repeatable ignition in scramjet combustors at low flight Mach numbers,this paper introduces a kerosene-air gliding arc plasma(GAfa)igniter.Experimental investigations were conducted at a freestream total temperature of 900 K and a freestream velocity of Mach number 4,supplemented by Large Eddy Simulation(LES)to clarify the fundamental mechanisms of GAfa-enhanced ignition in supersonic flows.Experiments on dual GAfaigniter-assisted ignition under different Global Equivalence Ratios(GER)show that the GAfaigniter significantly expands ignition limits compared to conventional high-energy spark igniters.The ignition process exhibits a critical GER threshold,leading to transitions among ignitionfailue,upstream cavity(C1)stabilization,flame blowout,and downstream cavity(C2)stabilization.Numerical simulations under pure-mixing conditions reveal that at low GER,insufficient Local Equivalence Ratios(LER)and poor kerosene atomization causefailure.As GER increases,C1achieves suitable LER first for ignition.At high GER,combustion-induced adverse pressure in C2prevents strong shock train formation upstream of C1,while enhanced turbulence from C1promotes C2recirculation zone reactions,stabilizing the flame exclusively in C2.
基金supported by the National Natural Science Foundation of China(Grant No.U24B2038)Scientific and technological research projects in Sichuan province(Grant No.2025NSFTD0012,2024YFHZ0286)Hebei Natural Science Foundation(Grant No.E2024508032).
摘要In China,gas storage in deep salt caverns faces challenges due to high in situ stresses,elevated geothermal temperatures,and the presence of interbedded salt-mudstone formations.These factors lead to heterogeneous deformation and stress concentration,which adversely affect the stability and sealing capacity of salt caverns.To address these issues,this study systematically investigates the differences in the mechanical responses of a dual-cavern system located in a representative deep salt district under synchronous and asynchronous injection-production processes.The impacts of key operating parameters on the long-term deformation evolution of salt caverns under thermo-mechanical coupling are examined,and the effectiveness of the asynchronous operation strategy in optimizing the cavern stability is quantitatively evaluated.The results demonstrate that asynchronous operation significantly enhances the stability of the inter-cavern pillar.Specifically,this strategy disrupts the connection between zones with high stress-to-strength ratios,thereby reducing the risk of coupled failure between the two salt caverns.Furthermore,this strategy improves the distribution of the dilatancy safety factor of the surrounding rocks.Asynchronous operation also performs well in mitigating long-term deformation of the salt caverns,resulting in a lower risk of unilateral pillar instability,reduced cavern roof subsidence,and diminished volume shrinkage.Notably,asynchronous operation can effectively suppress cavern deformation under high-frequency injection-production cycles.Increasing the operating rate and decreasing the minimum pressure result in decelerating and accelerating deformation trends,respectively.Sensitivity analysis identifies the minimum pressure as the primary factor directly controlling cavern deformation,while operating frequency benefits most from the adoption of an asynchronous operation strategy.Overall,the findings of this study are expected to advance the construction and operational optimization of deep salt caverns for gas storage in China.
摘要This paper concentrates on the study of passivity-based synchronization of inertial neural networks including Markov jump parameters.The second-order differential equations are converted into first-order differential equations using the variable transformation method.To make effective use of network bandwidth resources and to optimize the Markov jump inertial neural networks(MJINNs)performance,an adaptive event-driven protocol controller is studied.To achieve synchronization,an appropriate Lyapunov-Krasovskii functional(LKF)is constructed,which includes double integral terms that capture the information of time-varying delay terms.Some sufficient conditions are obtained in terms of linear matrix inequalities(LMIs)using Reciprocal convex combination lemma(RCCL).Then,a numerical simulation and an application of image encryption are carried out to illustrate the effectiveness of the proposed method.
基金supported in part by the National Natural Science Foundation of China(12471422,62573274,12371173)the Natural Science Foundation of Shandong Province of China(ZR2022LLZ003,ZR2024MF001)the Funding for Visiting Studies and Research by Teachers in Ordinary Undergraduate Colleges and Universities in Shandong Province。
摘要A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisson jumps(ISIDSP).The AIIC control strategy inherits the flexibility of aperiodically intermittent control,including the variable control period,adjustable control interval length,and the discretization of impulsive control.In addition,this article introduces a novel mild Itô's formula.By leveraging semigroup theory,the contraction mapping principle,and graph theory,along with constructing the Lyapunov function,the criterion for the existence and uniqueness of a mild solution of ISIDSP is thereby established.Furthermore,the mean-square exponential synchronization problem of the above systems is resolved,and the constraints within the mild solution domain are alleviated.These criteria clarify the impact of control parameters,control intervals and network topology on ESMS.The theoretical results are subsequently applied to a class of neural networks with reaction-diffusion processes,and the validity of the results is verified using numerical simulations.
基金supported by the Beijing Natural Science Foundation(4252008)the Natural Science Foundation of Chongqing Province(CSTB2024NSCQLZX0176)the Beijing Natural Science Foundation of Undergraduate Qiyan Program(QY24197)。
摘要With the development of Sixth-Generation(6G)mobile communication technologies,Low Earth Orbit(LEO)satellite communication systems have become extremely important in mobile communications owing to their large coverage,high efficiency,and low cost.However,the high dynamic LEO satellite channels cause serious time-frequency dual selective fading,significantly impairing the performance of conventional single time or frequency domain synchronization algorithms and limiting their applicability.To address these challenges,this paper proposes a synchronization algorithm based on Linear Frequency Modulation(LFM)signals and the Fractional Fourier Transform(FRFT).Exploiting the inherent robustness of LFM signals against frequency deviations and multipath effects,coupled with their energy concentration property in the optimal fractional Fourier domain,the proposed algorithm enables efficient synchronization with enhanced resilience to time-frequency variations.Furthermore,LFM preamble sequences are optimally designed for diverse channel conditions.This work presents a theoretical analysis of the time-frequency nonstationary characteristics of LEO satellite channels and discusses the performance limitations of traditional synchronization algorithms.The proposed integrated FRFTLFM synchronization framework and sequence optimization scheme are rigorously evaluated via comprehensive simulations.The results demonstrate substantial improvements in synchronization accuracy and computational efficiency compared with conventional methods,particularly under time-frequency dual selective fading LEO satellite channels.The algorithm provides a robust and reliable solution for time-frequency synchronization in LEO satellite communication systems,thereby enhancing overall system performance and reliability.
基金supported by the National Natural Science Foundation of China(82301043,82325012)China Postdoctoral Science Foundation grant(GZC20233582,2024M754269)+1 种基金Young Elite Scientist Support Program by CSA(2024PYRC001)Young Talent Support Program of Shaanxi Province(20240304).
摘要Bone adhesives have emerged as promising alternatives for complex fracture fixation.However,discrepancies between material degradation rates and the physiological timeline of bone healing remain a critical limitation.Here,a polyurethane-based adhesive(TNC)was developed,synthesized from trimeric hexamethylene diisocyanate,nano-hydroxyapatite,and type I collagen.The TNC demonstrates strong initial adhesion to both wet and blood-contaminated bone surfaces and exhibits excellent biocompatibility.A distinguishing feature of TNC is its capacity to synchronize degradation with the stages of bone healing.During degradation,TNC forms a mineralized surface layer that releases calcium ions.The calcium ions activate cathepsin K,an enzyme integral to bone remodeling.This calcium-mediated mechanism accelerates TNC degradation by 1.9-fold during the remodeling phase compared to the initial phase.In a rat skull fracture model,TNC supported effective fracture stabilization and achieved favorable bone regeneration at 8 weeks after implantation.These findings demonstrate that TNC combines early mechanical stability with phasespecific degradability to facilitate bone regeneration in a temporally-controlled manner.The present work provides a framework for the development of bio-responsive bone adhesives that synchronize degradation behavior with healing phases for orthopedic applications.
摘要Background:The synchronous occurrence of hepatocellular carcinoma(HCC)and clear cell renal cell carcinoma(ccRCC)is rare and poses significant therapeutic challenges,particularly in elderly patients with comorbidities.Although both malignancies may respond to immune checkpoint inhibitors(ICIs),evidence supporting a unified immunotherapeutic approach remains limited.This report aims to describe the clinical course and outcomes of dual immune checkpoint blockade(ICB)in a patient with synchronous HCC and ccRCC.Case Description:We describe a patient in their 80s with synchronous advanced HCC and ccRCC,with underlying cirrhosis related to hepatitis C virus infection and cardiovascular comorbidities.Following multidisciplinary evaluation,treatment with nivolumab plus ipilimumab was initiated.Early radiologic assessment demonstrated a partial response in the renal lesion and an apparent increase in the hepatic lesion,consistent with pseudoprogression.Continued therapy led to progressive reduction of the hepatic lesion and sustained control of the renal tumor.At approximately 18 months of follow-up,both lesions showed durable radiologic response with excellent tolerability and no immune-related adverse events.At the time of writing(April 2026),the patient remains on treatment.Conclusions:This case highlights the feasibility and potential efficacy of a unified immunotherapeutic strategy in synchronous immunogenic malignancies.It also underscores the importance of careful interpretation of radiologic findings during immunotherapy,particularly in HCC where atypical response patterns such as pseudoprogression may occur.These findings provide real-world insight into personalized immunotherapy approaches for complex oncologic scenarios.
基金supported by National Natural Science Foundation of China(Grant No.U23B6007,Fundamental Theory and Methods for Form Evolution and High Efficient Safe Operation of New Power Distribution Systems).
摘要With the increasing penetration level of renewable energy sources(RES)interfaced with the grids by power electronic converters,the grid forming(GFM)control of converters is recognized as one of the promising solutions in dealing with challenges such as grid transient stability enhancement required for future power electronic converter-dominated power grids.However,the physical nature of the limited overcurrent capability of GFM converter constrains its application including grid transient stability enhancement during grid faults.To address this problem,this paper first analyzes the mechanism of grid transient stability and overcurrent of GFM converter during grid faults.Then,an adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converter for grid transient stability enhancement is proposed,which can suppress the overcurrent of the GFM converter and enhance the grid transient stability simultaneously during grid faults.Meanwhile,a detailed quantitative analysis of parameter tuning of the proposed control is conducted,ensuring the robustness of the proposed control strategy in different fault depths and fault duration times.Finally,case studies are simulated in the PSCAD/EMTDC software to verify the effectiveness of the proposed control strategy.
基金supported by the National Natural Science Foundation of China(Nos.52575557,52375140)the Jiangxi Key Laboratory of High-End CNC Machine Tools.
摘要Accurate excitation current prediction is crucial for the high-performance control of synchronous machines(SMs),which are widely employed in industrial drives such as electro-spindles.However,achieving accurate and generalizable prediction across multiple operating points is challenging due to coupled nonlinearities like thermal drift and magnetic saturation.This study proposes a novel prediction model based on the extended long short-term memory(xLSTM)network.The model integrates scalar LSTM(sLSTM)and matrix LSTM(mLSTM)units and leverages an exponential gating mechanism to enhance the capability for learning complex nonlinear mappings and long-term dependencies.Specifically,the vectorized parallel memory structure of sLSTM is suited to capturing slow parameter variations caused by thermal drift,while the matrix associative memory mechanism of mLSTM excels at learning multi-variable nonlinear coupling effects such as magnetic saturation.These two modules form a complementary hybrid architecture.Comparative analyses against traditional LSTM and gate recurrent unit(GRU)benchmarks were conducted using SM monitoring data covering various load and excitation conditions.In addition,an ablation study was performed using xLSTM with varying blending ratios of scalar and matrix LSTM components.Evaluation based on multiple error metrics and computational time demonstrates that the proposed xLSTM achieves superior accuracy,stronger generalization,lower computational overhead,and higher prediction stability.The underlying mechanisms are analyzed from architectural and algorithmic perspectives.These findings offer a novel datadriven modeling approach for SM excitation current,with potential value for applications requiring high-fidelity motor state estimation.
基金supported by National Natural Science Foundation of China(Grant No.72104192)Natural Science Foundation of Shaanxi Province of China(Grant Nos.2025JC-YBQN-992 and 2025JCYBQN-966)the Youth Innovation Team of Shaanxi Universities(20232026),China(Grant No.Z20230765).
摘要The efficient transfer of tacit knowledge is crucial for enhancing teamwork resilience and promoting collaborative innovation in construction projects.This study used functional near-infrared spectroscopy(fNIRS)hyperscanning technology to measure interpersonal brain synchronization(IBS)during the transfer of different classifications of tacit knowledge.This study explored the relationships among types of tacit knowledge,IBS during the transfer process,and the performance of tacit knowledge transfer.Finally,the role of knowledge behavioral characteristics in the process of tacit knowledge transfer was revealed.The results show that i)there is a significant IBS between the sender and receiver during the transfer task,with the IBS level of the cognitive tacit knowledge group being significantly lower than that of the technical tacit knowledge group.ii)There is a significant causal relationship between the IBS level of the transferring subjects and transfer performance,and the type of tacit knowledge influences transfer performance through IBS.iii)The tacit knowledge learning willingness of the receiver and the tacit knowledge sharing willingness of the sender moderate the relationship between the classification of tacit knowledge and the IBS level,and the absorptive capacity of the receiver moderates the relationship between the IBS level and tacit knowledge transfer performance.This study identifies the transfer mechanism of engineering tacit knowledge and provides a reliable predictor for the performance of tacit knowledge transfer with strong hysteresis.
摘要Modern/distributed electric energy systems,with ever larger penetration of renewable(photovoltaic,wind,wave,and hydro)energy sources and time-variable outputs,are in need of stronger/higher frequency and alternating current(AC)(direct current(DC))voltage control.In fact,faster and more stable active and reactive power in the presence of frequency and voltage sags and swells is needed.Power electronics-controlled variable speed generators do not have enough energy storage(inertia)for the scope(static synchronous compensators(STATCOMs)included).This is because power electronics tends to decouple the generator from the power system.While virtual inertia control in doubly fed induction generators(DFIGs)offers a partial solution to these problems,a more robust and comprehensive framework is required for advanced grid support.This is how,by extending the dual-excitation principles,the dualaxis excited electric synchronous generators(DE-SG)provide superior flexibility in two variants summarized here:as a multifunctional DFIG and dual-axis vs.single-axis excited synchronous generator(SG),and as a synchronous condenser(SC),with dual DC and AC excitation(as a no-load DFIG with inertia wheel),where variable speed is used to accelerate/decelerate the SC and thus provide additional assistance in frequency stabilization.These solutions,good for short-time transients,are not meant,however,to replace the large bidirectional energy storage systems(pump-hydro,hydrogen,batteries,etc.)which are crucial for the daily inherent variations of output energy in modern power systems with multiple power sources.The present paper offers a summary of techniques used in the dual-axis excited vs.single-axis excited SGs(SE-SGs),and SCs topologies,modeling,and control for better stability in modern multiple-source energy systems.This survey includes multiple case studies to shed light on prominent methods.
基金Project(52272339)supported by the National Natural Science Foundation of China。
摘要The sensorless control of surface-mounted permanent magnet synchronous motor(SPMSM)usually uses quadrature phase-locked loop(QPLL)to extract the phase information of the back electromotive force to realize the rotor angle estimation.However,the traditional QPLL has a convergence deviation of 180°when the motor is reversed,and the angle estimation error is obvious when the motor is accelerated and decelerated.To solve these problems,an enhanced QPLL(EQPLL)with polarity correction and high precision angle feedforward compensation is proposed.Firstly,the traditional phase discriminator is improved based on the two-phase stationary coordinate system,and the polarity correction function is designed by the error component of the improved phase discriminator to realize the non convergent deviation angle estimation under the forward and reverse switching conditions of the motor.In addition,the error component of the improved phase discriminator is used as the feedforward compensation signal,and the enhanced generalized integrator is used to filter it,so as to realize the angle error compensation with low delay and low noise.Finally,the proposed scheme is verified by experiment on the motor platform,and compared with the existing scheme.The experimental results show that the proposed scheme can realize the polarity correction and angle error elimination,and at the same time,the noise mean square error is reduced by 24.33%compared with the existing angle feedforward compensation scheme.
基金funded by the Science and Technology Project of the Headquarters of State Grid Corporation of China(Project No.5100-202306384A-2-3-XG).
摘要Given that the power grid partitioning method relying mainly on line reactive power flow information sees frequent changes in partitioning results with reactive power flow fluctuations under high-proportion fixed-powerfactor PV-connected distribution networks,and traditional distributed PV collaborative optimization fails to adapt due to such changes,a stable partitioning and distributed PV collaborative optimization method for this scenario is proposed.Firstly,the Gaussian mixture model(GMM)is used to characterize the characteristics of PV reactive power output,obtaining the typical curve of PV reactive power output.Secondly,the Monte Carlo Simulation(MCS)probabilistic power flow calculation is performed to obtain the node voltage distribution of the distribution network.Thirdly,based on the node voltage distribution,the Earth Mover’s Distance(EMD)is used to obtain the statistical distance between any two nodes,and this statistical distance is combined with the electrical distance defined by node voltage sensitivity to form a comprehensive electrical distance.Then,the affinity propagation clustering algorithm is applied,and considering the dynamic reactive power margin requirement,the reactive power/voltage partitioning result is obtained.Based on the reactive power partitioning result,a reactive power optimization model is established with the minimum active power loss of the system as the objective function.The optimization model is convexified using the LinDistFlow equation,and the Alternating Direction Multiplier Method(ADMM)is adopted to coordinate the reactive power output of PV inverters in each partition,achieving global optimal voltage control in the distribution network.Finally,the proposed method is verified using the IEEE 33-bus system.The application of this method reduces the system power loss by 35.94%.Compared with the traditional partitioning method,the partitioning variation rate under Scenario 1 is reduced by 54.17%and that under Scenario 2 is reduced by 70.85%when this method is adopted.This fully demonstrates that the partitioning results of the proposed method are stable,and the collaborative optimization method can improve the system voltage stability and reduce the system power loss.