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Enhanced physics-inspired algorithm for optimal power flow with renewable energy integration using Coulomb’s and Franklin’s law under climate considerations 认领 引用
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作者 Saeid Jowkar Amin Besharatiyan +5 位作者 Ali Esmaeel Nezhad Ehsan Rahimi Fariba Esmaeilnezhad Toktam Tavakkoli Sabour Mohammadamin Mobtahej Afshin Canani 《Global Energy Interconnection》 EI CSCD 2025年第6期982-996,共15页
Due to the climate-dependent nature of renewable energy sources(RESs),solving the optimal power flow(OPF)problem in power systems that integrate RESs,such as photovoltaic(PV)units and wind turbines(WTs),remains a sign... Due to the climate-dependent nature of renewable energy sources(RESs),solving the optimal power flow(OPF)problem in power systems that integrate RESs,such as photovoltaic(PV)units and wind turbines(WTs),remains a significant challenge.To address this problem,this study presents an effective framework that incorporates solar and wind power generation.To manage the nonconvex and nonlinear characteristics of the OPF problem,a modified physics-inspired algorithm termed the Enhanced Coulomb’s and Franklin’s laws Algorithm(ECFA),is deployed.In the proposed OPF model,the power generated from RESs is considered a dependent variable,while voltages at buses equipped with RESs serve as decision variables.Real-time data on solar irradiation and wind speed are used to model the power outputs of PV units and WTs,respectively.Although the Coulomb’s and Franklin’s law algorithm(CFA)offers some advantages,it underperforms on complex optimization tasks compared to SSA,BA,SCA,ABC,and CFA.The enhanced version of the CFA improves the search process across the feasible space by incorporating diverse interaction methods and enhancing exploitation capabilities.The performance of the proposed ECFA is assessed through comprehensive comparisons with state-of-the-art methods for solving the OPF problem. 展开更多
关键词 Optimal power flow Coulomb's and Franklin's laws physics-inspired algorithm Wind power Solar power
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Probabilistic Assessment of PV-DG for Optimal Multi-Locations and Sizing Using Genetic Algorithm and Sequential-Time Power Flow 认领 引用
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作者 A. Elkholy 《Journal of Power and Energy Engineering》 2025年第2期23-42,共20页
This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on identifying the optimal ... This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on identifying the optimal allocation and sizing of multiple PV-DG units to minimize power losses using a probabilistic PV model and time-series power flow analysis. Addressing the uncertainties in PV output due to weather variability and diurnal cycles is critical. A probabilistic assessment offers a more robust analysis of DG integration’s impact on the grid, potentially leading to more reliable system planning. The presented approach employs a genetic algorithm (GA) and a determined PV output profile and probabilistic PV generation profile based on experimental measurements for one year of solar radiation in Cairo, Egypt. The proposed algorithms are validated using a co-simulation framework that integrates MATLAB and OpenDSS, enabling analysis on a 33-bus test system. This framework can act as a guideline for creating other co-simulation algorithms to enhance computing platforms for contemporary modern distribution systems within smart grids concept. The paper presents comparisons with previous research studies and various interesting findings such as the considered hours for developing the probabilistic model presents different results. 展开更多
关键词 Photovoltaic Distributed Generation Probability Genetic Algorithm Radial Distribution Systems Time Series Power Flow
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Improved multi-objective artificial bee colony algorithm for optimal power flow problem 认领 引用 被引量：1
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作者 马连博 胡琨元 +1 位作者 朱云龙 陈瀚宁 《Journal of Central South University》 SCIE EI CAS 2014年第11期4220-4227,共8页
The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting obj... The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of transforming multi-objective functions into a single objective function. The main idea of HMOABC is to extend original ABC algorithm to multi-objective and cooperative mode by combining the Pareto dominance and divide-and-conquer approach. HMOABC is then used in the 30-bus IEEE test system for solving the OPF problem considering the cost, loss, and emission impacts. The simulation results show that the HMOABC is superior to other algorithms in terms of optimization accuracy and computation robustness. 展开更多
关键词 cooperative artificial colony algorithm optimal power flow multi-objective optimization
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Power flow calculation for a distribution system with multi-port PETs:an improved AC-DC decoupling iterative method 认领 引用 被引量：7
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作者 Hang Yin Qiang Li +3 位作者 Youbo Liu Xianglong Liu Yue Xiang Junyong Liu 《Global Energy Interconnection》 EI 2020年第4期313-323,共11页
Recently,power electronic transformers(PETs)have received widespread attention owing to their flexible networking,diverse operating modes,and abundant control objects.In this study,we established a steady-state model ... Recently,power electronic transformers(PETs)have received widespread attention owing to their flexible networking,diverse operating modes,and abundant control objects.In this study,we established a steady-state model of PETs and applied it to the power flow calculation of AC-DC hybrid systems with PETs,considering the topology,power balance,loss,and control characteristics of multi-port PETs.To address new problems caused by the introduction of the PET port and control equations to the power flow calculation,this study proposes an iterative method of AC-DC mixed power flow decoupling based on step optimization,which can achieve AC-DC decoupling and effectively improve convergence.The results show that the proposed algorithm improves the iterative method and overcomes the overcorrection and initial value sensitivity problems of conventional iterative algorithms. 展开更多
关键词 Power electronic transformers AC-DC distribution systems AC-DC mixed power flow algorithm
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A Sine and Wormhole Energy Whale Optimization Algorithm for Optimal FACTS Placement in Uncertain Wind Integrated Scenario Based Power Systems 认领 引用
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作者 Sunilkumar P.Agrawal Pradeep Jangir +4 位作者 Arpita Sundaram B.Pandya Anil Parmar Ahmad O.Hourani Bhargavi Indrajit Trivedi 《Journal of Bionic Engineering》 SCIE EI CSCD 2025年第4期2115-2134,共20页
The Sine and Wormhole Energy Whale Optimization Algorithm(SWEWOA)represents an advanced solution method for resolving Optimal Power Flow(OPF)problems in power systems equipped with Flexible AC Transmission System(FACT... The Sine and Wormhole Energy Whale Optimization Algorithm(SWEWOA)represents an advanced solution method for resolving Optimal Power Flow(OPF)problems in power systems equipped with Flexible AC Transmission System(FACTS)devices which include Thyristor-Controlled Series Compensator(TCSC),Thyristor-Controlled Phase Shifter(TCPS),and Static Var Compensator(SVC).SWEWOA expands Whale Optimization Algorithm(WOA)through the integration of sine and wormhole energy features thus improving exploration and exploitation capabilities for efficient convergence in complex non-linear OPF problems.A performance evaluation of SWEWOA takes place on the IEEE-30 bus test system through static and dynamic loading scenarios where it demonstrates better results than five contemporary algorithms:Adaptive Chaotic WOA(ACWOA),WOA,Chaotic WOA(CWOA),Sine Cosine Algorithm Differential Evolution(SCADE),and Hybrid Grey Wolf Optimization(HGWO).The research shows that SWEWOA delivers superior generation cost reduction than other algorithms by reaching a minimum of 0.9%better performance.SWEWOA demonstrates superior power loss performance by achieving(Ploss,min)at the lowest level compared to all other tested algorithms which leads to better system energy efficiency.The dynamic loading performance of SWEWOA leads to a 4.38%reduction in gross costs which proves its capability to handle different operating conditions.The algorithm achieves top performance in Friedman Rank Test(FRT)assessments through multiple performance metrics which verifies its consistent reliability and strong stability during changing power demands.The repeated simulations show that SWEWOA generates mean costs(Cgen,min)and mean power loss values(Ploss,min)with small deviations which indicate its capability to maintain cost-effective solutions in each simulation run.SWEWOA demonstrates great potential as an advanced optimization solution for power system operations through the results presented in this study. 展开更多
关键词 Sine and wormhole energy whale optimization algorithm(SWEWOA) Optimal power flow(OPF) Wind integration FACTS devices Power system optimization
A multi-objective gravitational search algorithm based approach of power system stability enhancement with UPFC 认领 引用 被引量：6
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作者 Ajami Ali Armaghan Mehdi 《Journal of Central South University》 SCIE EI CAS 2013年第6期1536-1544,共9页
On the basis of the theoretical analysis of a single-machine infinite-bus （SMIB）, using the modified linearized Phil- lips-Heffron model installed with unified power flow controller （UPFC）, the potential of the UP... On the basis of the theoretical analysis of a single-machine infinite-bus （SMIB）, using the modified linearized Phil- lips-Heffron model installed with unified power flow controller （UPFC）, the potential of the UPFC supplementary controller to enhance the dynamic stability of a power system is evaluated by measuring the electromechanical controllability through singular value decomposition （SVD） analysis. This controller is tuned to simultaneously shift the undamped electromeehanical modes to a prescribed zone in the s-plane. The problem of robust UPFC based damping controller is formulated as an optimization problem according to the eigenvalue-based multi-objective function comprising the damping factor, and the damping ratio of the undamped electromechanical modes to be solved using gravitational search algorithm （GSA） that has a strong ability to find the most optimistic results. The different loading conditions are simulated on a SMIB system and the rotor speed deviation, internal voltage deviation, DC voltage deviation and electrical power deviation responses are studied with the effect of this flexible AC transmission systems （FACTS） controller. The results reveal that the tuned GSA based UPFC controller using the proposed multi-objective function has an excellent capability in damping power system with low frequency oscillations and greatly enhances the dynamic stability of the power systems. 展开更多
关键词 unified power flow controller gravitational search algorithm power system stability
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基于成本-稳定均衡控制的柔性直流构网系统优化运行 认领 引用
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作者 卢洵 龚贤夫 王鹏 《电网与清洁能源》 CSCD 北大核心 2026年第7期123-131,共9页
针对高比例新能源接入背景下交流电网传输效率与稳定性不足的问题,提出一种基于成本-稳定均衡控制的柔性直流构网系统优化运行方法。首先,结合经济性、稳定性需求,构建计及运行成本和系统稳定性的多目标优化指标体系;其次,提出基于成本... 针对高比例新能源接入背景下交流电网传输效率与稳定性不足的问题,提出一种基于成本-稳定均衡控制的柔性直流构网系统优化运行方法。首先,结合经济性、稳定性需求,构建计及运行成本和系统稳定性的多目标优化指标体系;其次,提出基于成本-稳定均衡控制的电压源换流站控制方法,建立含电压源换流器的柔性直流构网系统多目标潮流优化模型;再次,提出基于知识驱动的多目标水母搜索算法,并在下垂控制中根据换流站功率裕度和能效损耗进行改进,实现分区成本、网络损耗、电能质量及系统稳定性的协同优化;最后,搭建仿真模型并对所提方法进行验证。实验结果表明:所提方法可显著提升系统效率和稳定性,且具备较强的抗噪声能力。 展开更多
关键词 多端柔性直流输电 多目标潮流优化 下垂控制 多目标水母搜索算法
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计及源-荷不确定性的配电网电压分时段优化 认领 引用
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作者 倪俊 费科 +1 位作者 徐超 胡鹏 《计算机仿真》 2026年第6期386-390,共5页
高比例分布式光伏接入配电网时,源荷双侧不确定性使电压运行边界模糊、波动复杂,单一时段优化难以实现精细化调控,导致节点电压越限、网损增加、设备动作冲突等问题。为此,提出计及源荷不确定性的配电网电压分时段优化方法。通过构建负... 高比例分布式光伏接入配电网时,源荷双侧不确定性使电压运行边界模糊、波动复杂,单一时段优化难以实现精细化调控,导致节点电压越限、网损增加、设备动作冲突等问题。为此,提出计及源荷不确定性的配电网电压分时段优化方法。通过构建负荷、风电和光伏功率概率模型,进行随机潮流计算,量化不确定性并明确电压波动边界。基于随机潮流确定电容器组投切时机与变压器分接头调节上下限,构建多目标优化函数。引入两阶段蛇优化算法,第一阶段全局搜索处理混合变量问题,第二阶段局部修正形成闭环优化,生成适配源荷波动的分时段优化方案。实验表明,上述方法能维持电压稳定在220V附近,降低波动幅度,控制网损在40kW以下。验证了其在应对不确定性、实现精细化电压调控方面的有效性与工程适用性。 展开更多
关键词 源-荷不确定性 配电网电压 分时段优化 随机潮流 蛇优化算法
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Optimal Power Flow Using Firefly Algorithm with Unified Power Flow Controller 认领 引用
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作者 T. Hariharan K. Mohana Sundaram 《Circuits and Systems》 2016年第8期1934-1942,共9页
Firefly algorithm is the new intelligent algorithm used for all complex engineering optimization problems. Power system has many complex optimization problems one of which is the optimal power flow (OPF). Basically, i... Firefly algorithm is the new intelligent algorithm used for all complex engineering optimization problems. Power system has many complex optimization problems one of which is the optimal power flow (OPF). Basically, it is minimizing optimization problem and subjected to many complex objective functions and constraints. Hence, firefly algorithm is used to solve OPF in this paper. The aim of the firefly is to optimize the control variables, namely generated real power, voltage magnitude and tap setting of transformers. Flexible AC Transmission system (FACTS) devices may used in the power system to improve the quality of the power supply and to reduce the cost of the generation. FACTS devices are classified into series, shunt, shunt-series and series-series connected devices. Unified power flow controller (UPFC) is shunt-series type device that posses all capabilities to control real, reactive powers, voltage and reactance of the connected line in the power system. Hence, UPFC is included in the considered IEEE 30 bus for the OPF solution. 展开更多
关键词 Real Power Loss Fuel Cost Optimal Power Flow Unified Power Flow Controller Firefly Algorithm
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A Parallel Approach for Real-Time Power Flow in Distribution Networks 认领 引用
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作者 Rafael G. Milbradt Luciane N. Canha +3 位作者 Pedro B. Zorrilla Alzenira R. Abaide Paulo R. Pereira Sandro R.Schmaedecke 《Journal of Energy and Power Engineering》 CAS 2013年第3期589-595,共7页
The new reality of smart distribution systems with use of generation sources of small and medium sizes brings new challenges for the operation of these systems. The complexity and the large number of nodes requires us... The new reality of smart distribution systems with use of generation sources of small and medium sizes brings new challenges for the operation of these systems. The complexity and the large number of nodes requires use of methods which can reduce the processing time of algorithms such as power flow, allowing its use in real time. This paper presents a known methodology for calculating the power flow in three phases using backward/forward sweep method, and also considering other network elements such as voltage regulators, shunt capacitors and sources of dispersed generation of types PV （active power and voltage） and PQ （active and reactive power）. After that, new elements are introduced that allow the parallelization of this algorithm and an adequate distribution of work between the available processors. The algorithm was implemented using a multi-tiered architecture; the processing times were measured in many network configurations and compared with the same algorithm in the serial version. 展开更多
关键词 Distribution power flow real-time power flow distribution automation dispersed generation parallel algorithm.
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A New Parallel Algorithm in Power Flow Calculation:Dynamic Asynchronous Parallel Algorithm 认领 引用
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作者 刘学军 钱清泉 刘军 《Journal of Modern Transportation》 2000年第2期145-151,共7页
Based on the general methods in power flow calculation of power system and on conceptions and classifications of parallel algorithm, a new approach named Dynamic Asynchronous Parallel Algorithm that applies to the onl... Based on the general methods in power flow calculation of power system and on conceptions and classifications of parallel algorithm, a new approach named Dynamic Asynchronous Parallel Algorithm that applies to the online analysis and real-time dispatching and controlling of large-scale power network was put forward in this paper. Its performances of high speed and dynamic following have been verified on IEEE-14 bus system. 展开更多
关键词 power flow calculation parallel algorithm MAT
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The Optimal Power Flow Calculation of Power System Based on the Annealing Algorithm 认领 引用
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作者 Xiaodong Yu 《Energy and Power Engineering》 2013年第4期797-802,共6页
The result of OPF whose task is to compute the voltage and angle of each node in power system is the basic of stability calculation and failure analysis in power system. For this goal, the idea of simulated annealing ... The result of OPF whose task is to compute the voltage and angle of each node in power system is the basic of stability calculation and failure analysis in power system. For this goal, the idea of simulated annealing method is introduced, mixed with the greedy randomized algorithm (GRASP), and then the hybrid SA algorithm is obtained. The algorithm is applied to the multi-objective optimal power flow calculation of power system, and the effectiveness of the algorithm given in this paper is verified by analysis of examples. 展开更多
关键词 Annealing Algorithm Power System Power Flow Calculation
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Voltage Stability Constrained Optimal Power Flow Using NSGA-II 认领 引用
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作者 Sandeep Panuganti Preetha Roselyn John +1 位作者 Durairaj Devraj Subhransu Sekhar Dash 《Computational Water, Energy, and Environmental Engineering》 2013年第1期1-8,共8页
Voltage stability has become an important issue in planning and operation of many power systems. This work includes multi-objective evolutionary algorithm techniques such as Genetic Algorithm (GA) and Non-dominated So... Voltage stability has become an important issue in planning and operation of many power systems. This work includes multi-objective evolutionary algorithm techniques such as Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) approach for solving Voltage Stability Constrained-Optimal Power Flow (VSC-OPF). Base case generator power output, voltage magnitude of generator buses are taken as the control variables and maximum L-index of load buses is used to specify the voltage stability level of the system. Multi-Objective OPF, formulated as a multi-objective mixed integer nonlinear optimization problem, minimizes fuel cost and minimizes emission of gases, as well as improvement of voltage profile in the system. NSGA-II based OPF-case 1-Two objective-Min Fuel cost and Voltage stability index;case 2-Three objective-Min Fuel cost, Min Emission cost and Voltage stability index. The above method is tested on standard IEEE 30-bus test system and simulation results are done for base case and the two severe contingency cases and also on loaded conditions. 展开更多
关键词 Voltage Stability Optimal Power Flow Multi Objective Evolutionary Algorithms
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Solving Optimal Power Flow Using Modified Bacterial Foraging Algorithm Considering FACTS Devices 认领 引用
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作者 K. Ravi C. Shilaja +1 位作者 B. Chitti Babu D. P. Kothari 《Journal of Power and Energy Engineering》 2014年第4期639-646,共8页
In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the us... In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The basic bacterial foraging algorithm (BFA) is an evolutionary optimization technique inspired by the foraging behavior of the E. coli bacteria. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi Static VAR Compensator (SVC). The specified power flow control constraints due to the use of FACTS devices are included in the OPF problem. The proposed method decomposes the solution of such modified OPF problem into two sub problems’ iteration. The first sub problem is a power flow control problem and the second sub problem is a modified Bacterial foraging algorithm (MBFA) OPF problem. The two sub problems are solved iteratively until convergence. Case studies are presented to show the effectiveness of the proposed method. 展开更多
关键词 Flexible AC Transmission System (FACTS) Modified Bacterial Foraging Algorithm (MBFA) Optimal Power Flow (OPF) TCSC SVC
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Ant Colony Optimization Approach Based Genetic Algorithms for Multiobjective Optimal Power Flow Problem under Fuzziness 认领 引用
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作者 Abd Allah A. Galal Abd Allah A. Mousa Bekheet N. Al-Matrafi 《Applied Mathematics》 2013年第4期595-603,共9页
In this paper, a new optimization system based genetic algorithm is presented. Our approach integrates the merits of both ant colony optimization and genetic algorithm and it has two characteristic features. Firstly, ... In this paper, a new optimization system based genetic algorithm is presented. Our approach integrates the merits of both ant colony optimization and genetic algorithm and it has two characteristic features. Firstly, since there is instabilities in the global market, implications of global financial crisis and the rapid fluctuations of prices, a fuzzy representation of the optimal power flow problem has been defined, where the input data involve many parameters whose possible values may be assigned by the expert. Secondly, by enhancing ant colony optimization through genetic algorithm, a strong robustness and more effectively algorithm was created. Also, stable Pareto set of solutions has been detected, where in a practical sense only Pareto optimal solutions that are stable are of interest since there are always uncertainties associated with efficiency data. The results on the standard IEEE systems demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto optimal nondominated solutions of the multiobjective OPF. 展开更多
关键词 Ant Colony Genetic Algorithm Fuzzy Numbers Optimal Power Flow
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Unified Iterative Algorithm for Power Flow of AC/DC System with Multi-type DC Links 认领 引用 被引量：1
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作者 Zhiqiang Song Yaohui Huang +3 位作者 Jianzhong Xu Chengyong Zhao Xiufang Jia Huashi Zhao 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2025年第5期2293-2302,共10页
As an emerging trend in power grid development,the AC/DC hybrid power grid presents the characteristics of multi-type DC links and large-scale AC/DC interconnection.However,existing research on AC/DC power flow calcul... As an emerging trend in power grid development,the AC/DC hybrid power grid presents the characteristics of multi-type DC links and large-scale AC/DC interconnection.However,existing research on AC/DC power flow calculation is mainly based on single-object models,ignoring the complex interactions and interdependencies between the AC system and various types of DC links in the hybrid power grid,such as LCCHVDC,MMC-HVDC,and LCC-MMC hybrid HVDC.Therefore,this paper proposes a power flow calculation algorithm for large-scale AC/DC systems with multi-type DC links.Firstly,a CIM/XML document conversion strategy applicable to the AC/DC system is proposed.Then,a unified modeling method is used to derive the power flow model of the AC/DC system,and a unified iterative algorithm for the large-scale AC/DC system with multi-type DC links is proposed.Finally,the algorithm’s correctness and effectiveness are verified by comparing it with actual measurements from the Southern Power Grid of China,with a voltage deviation of less than 1%.The research shows that the proposed algorithm has good convergence and high computational efficiency,which is applicable to power flow calculations in large-scale DC-embedded hybrid AC/DC grids in the future. 展开更多
关键词 AC/DC system CIM/XML documents multi type DC links power flow calculation unified iterative algorithm
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基于三峡-葛洲坝水量平衡的机组发电流量修正 认领 引用 被引量：2
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作者 张玮 赵辉 +3 位作者 刘攀 黄康迪 刘园 鲍一凡 《人民长江》 北大核心 2025年第4期206-212,共7页
计算得到的葛洲坝水库出库总水量显著大于三峡水库出库总水量,水量偏差幅度明显超过区间来水,亟需进行出库流量的修正。为了精准计算葛洲坝水库出库流量,使三峡水库、葛洲坝水库及其区间来水满足水量平衡,以三峡水库出库流量-葛洲坝水... 计算得到的葛洲坝水库出库总水量显著大于三峡水库出库总水量,水量偏差幅度明显超过区间来水,亟需进行出库流量的修正。为了精准计算葛洲坝水库出库流量,使三峡水库、葛洲坝水库及其区间来水满足水量平衡,以三峡水库出库流量-葛洲坝水库入库流量平衡为修正基准,以SCE-UA算法为优化方法,为葛洲坝发电机组引入水头相关的修正系数,通过不同分期修正系数的率定,实现了对葛洲坝各机组发电流量的修正。结果表明:在汛期,修正后流量平均绝对偏差MAD由1720 m3/s降至571 m3/s,月度总水量偏差VD由43.18亿m3降低至1.09亿m3;在非汛期,MAD由1650 m3/s减小至745 m3/s,VD由4.52亿m3减小至2.53亿m3。提出的基于水量平衡的流量修正方法,能够提高葛洲坝流量准确性,大幅度改善原有的水量不平衡现象,为三峡-葛洲坝梯级水电站调度决策提供更准确的数据支撑。 展开更多
关键词 发电流量修正 水量平衡 出库流量 SCE-UA算法 水轮机机组特性曲线 三峡水库 葛洲坝水库 梯级水电站
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考虑架空线路动态热定值和N-1安全准则的源-网-储系统分布鲁棒优化运行方法 认领 引用 被引量：1
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作者 赵英杰 张耀 +3 位作者 李永飞 孙乾皓 赵寒亭 霍巍 《高电压技术》 EI CAS CSCD 北大核心 2025年第9期4819-4831,I0026,共13页
新能源随机性使得电力系统潮流复杂多变,加之大量新能源需要远距离输送消纳,输电阻塞问题日益严重。动态热定值(dynamic line rating,DTR)技术能够提升既有架空线路的输电能力,充分发挥系统的灵活调节能力。特别是在N-1事故场景下,采用... 新能源随机性使得电力系统潮流复杂多变,加之大量新能源需要远距离输送消纳,输电阻塞问题日益严重。动态热定值(dynamic line rating,DTR)技术能够提升既有架空线路的输电能力,充分发挥系统的灵活调节能力。特别是在N-1事故场景下,采用DTR技术提升线路输送能力,能够缓解严重输电阻塞。然而,传统方法在考虑N-1事故时存在维数灾难问题,因此应用DTR技术仍然存在挑战性。为此,提出了一种两阶段分布鲁棒优化(distributionally robust optimization,DRO)方法以提升架空线路的输电能力。首先,构建了架空线路暂态温度计算模型并做适当简化处理,从而保证后续优化模型的凸性。随后,建立了考虑DTR和N-1安全准则的两阶段DRO模型以避免N-1事故下的持续停电,考虑无功与网损的线性化交流潮流模型能够更准确地计算线路潮流。最后,使用IEEE-24节点系统和IEEE-118节点系统验证了所提方法的有效性。 展开更多
关键词 动态热定值 暂态温度 热平衡方程 线性化交流潮流模型 分布鲁棒优化 列和约束生成算法
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基于改进DDPG算法的N-1潮流收敛智能调整方法 认领 引用
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作者 陈东旭 陈胜硕 +3 位作者 许智光 李岩松 陈兴雷 刘君 《华北电力大学学报（自然科学版）》 CAS 北大核心 2025年第4期88-98,共11页
N-1状态下潮流不收敛问题对N-1校验和电网的安全运行造成极大困扰,但当前的潮流收敛研究主要集中于静态潮流,且调整方法不仅动作有效性低,也难以兼顾快速性和成功率。因此提出一种基于BNN-DS的DDPG改进算法,通过深度强化学习对N-1潮流... N-1状态下潮流不收敛问题对N-1校验和电网的安全运行造成极大困扰,但当前的潮流收敛研究主要集中于静态潮流,且调整方法不仅动作有效性低,也难以兼顾快速性和成功率。因此提出一种基于BNN-DS的DDPG改进算法,通过深度强化学习对N-1潮流不收敛网络进行智能调整。首先,根据N-1方案校验元件类型及潮流重载量等指标确定了方案的调整措施,通过广度优先算法确定调整元件组以保证动作的有效性,根据CRITIC权重法计算了多重奖励之和,据此,设计了N-1潮流收敛调整MDP模型。其次对MDP模型中所用DDPG算法进行改进,搭建了轻量BNN网络以降低计算复杂度、提高计算速度,设计了高奖励经验池以及存量判定机制以优化模型的收敛性。最后,在某分部2179节点网络和某分部12732节点网络上对改进算法进行测试验证,结果表明基于BNN-DS的DDPG改进算法比传统方法的成功率提高36.535%,平均用时减少95.01%。 展开更多
关键词 深度强化学习 N-1潮流收敛 神经网络 DDPG算法
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UPFC Based Real-Time Optimization of Power Systems for Dynamic Voltage Regulation 认领 引用 被引量：2
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作者 Serhat Berat Efe 《Computer Modeling in Engineering & Sciences》 SCIE EI 2018年第9期391-406,共16页
Flexible alternating current transmission system(FACTS)components are used to utilize the electrical transmission lines at their optimum capacity.The best way to achieve this optimization is to manage the active and r... Flexible alternating current transmission system(FACTS)components are used to utilize the electrical transmission lines at their optimum capacity.The best way to achieve this optimization is to manage the active and reactive power flows.A unified power flow controller(UPFC)is one of the most significant devices developed for the effective control of power flows.Although conventional UPFC structures can be used to achieve this process,the expansion of power systems has led to the necessity of developing various UPFC devices.This paper focuses on an advanced real time control approach of UPFC for dynamic voltage regulation.The developed model is incorporated in the Gauss-Seidel(GS)power flow algorithm and the proposed method is validated on the IEEE-30 bus system that is designed under MATLAB/Simulink platform.As the proposed method was validated by comparing with the normal operating conditions,advantages were observed on two cases.In the first case,a generator outage is applied to system to observe behavior of proposed model in power loss conditions.In the second case,line fault conditions were used for observation.The results from testing the model for both cases prove that the approach has positive effects on dynamic power systems. 展开更多
关键词 Power flow control UPFC FACTS devices power system analysis computing Gauss-Seidel algorithm
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