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Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm 认领 引用 被引量：3
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作者 Wei XIE Chang-ming JI +1 位作者 Zi-jun YANG Xiao-xing ZHANG 《Water Science and Engineering》 EI CAS 2012年第1期46-58,共13页
Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity... Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were obtained by calculating the daily runoff process within three typical years, and a large number of simulated daily runoff processes were obtained using the progressive optimality algorithm （POA） in combination with the genetic algorithm （GA）. After analyzing the optimal scheduling processes, the corresponding scheduling rules were determined, and the practical formulas were obtained. These rules can make full use of the rolling runoff forecast and carry out the rolling scheduling. Compared with the optimized results, the maximum relative difference of the annual power generation obtained by the scheduling rules is no more than 1%. The effectiveness and practical applicability of the scheduling rules are demonstrated by a case study. This study provides a new perspective for formulating the rules of power generation dispatching. 展开更多
关键词 scheduling rule short-time power generation dispatching, hybrid algorithm cascade hydropower station
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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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Adaptive Antenna Utilizing Power Inversion and Linearly Constrained Minimum Variance Algorithms 认领 引用 被引量：17
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作者 E.A.MOHAMED 谈展中 《Chinese Journal of Aeronautics》 EI CAS 2005年第2期153-160,共8页
This paper presents a new algorithm based on the power inversion （PI） and the linearly constrained minimum variance （LCMV）. This algorithm is capable of adjusting the weights of the antenna array in real time to r... This paper presents a new algorithm based on the power inversion （PI） and the linearly constrained minimum variance （LCMV）. This algorithm is capable of adjusting the weights of the antenna array in real time to respond to and improve the global positioning system （GPS） received signals coming from the desired directions and at the same time to highly suppress the jammers coming from the other directions. The simulation is performed for fixed and moving jammers. It indicates that this structure can give deeper nulls, more than 115 dB depths for fixed jammers and more than 94 dB depths for moving jammers. 展开更多
关键词 adaptive antenna power inversion algorithm LCMV GPS anti-jamming
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Repulsive firefly algorithm-based optimal switching device placement in power distribution systems 认领 引用 被引量：3
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作者 Yuanpeng Tan Hai Chen +4 位作者 Wei Liu Mingze Zhang Yinong Li Xincong Li Hanyang Lin 《Global Energy Interconnection》 2019年第6期490-496,共7页
To achieve optimal configuration of switching devices in a power distribution system,this paper proposes a repulsive firefly algorithm-based optimal switching device placement method.In this method,the influence of te... To achieve optimal configuration of switching devices in a power distribution system,this paper proposes a repulsive firefly algorithm-based optimal switching device placement method.In this method,the influence of territorial repulsion during firefly courtship is considered.The algorithm is practically applied to optimize the position and quantity of switching devices,while avoiding its convergence to the local optimal solution.The experimental simulation results have showed that the proposed repulsive firefly algorithm is feasible and effective,with satisfying global search capability and convergence speed,holding potential applications in setting value calculation of relay protection and distribution network automation control. 展开更多
关键词 Power distribution systems Switching device Repulsive firefly algorithm Optimal placement Reliability
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A Modified Genetic Algorithm for Combined Heat and Power Economic Dispatch 认领 引用
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作者 Deliang Li Chunyu Yang 《Journal of Bionic Engineering》 SCIE EI CSCD 2024年第5期2569-2586,共18页
Combined Heat and Power Economic Dispatch(CHPED)is an important problem in the energy field,and it is beneficial for improving the utilization efficiency of power and heat energies.This paper proposes a Modified Genet... Combined Heat and Power Economic Dispatch(CHPED)is an important problem in the energy field,and it is beneficial for improving the utilization efficiency of power and heat energies.This paper proposes a Modified Genetic Algorithm(MGA)to determine the power and heat outputs of three kinds of units for CHPED.First,MGA replaces the simulated binary crossover by a new one based on the uniform and guassian distributions,and its convergence can be enhanced.Second,MGA modi-fies the mutation operator by introducing a disturbance coefficient based on guassian distribution,which can decrease the risk of being trapped into local optima.Eight instances with or without prohibited operating zones are used to investigate the efficiencies of MGA and other four genetic algorithms for CHPED.In comparison with the other algorithms,MGA has reduced generation costs by at least 562.73$,1068.7$,522.68$and 1016.24$,respectively,for instances 3,4,7 and 8,and it has reduced generation costs by at most 848.22$,3642.85$,897.63$and 3812.65$,respectively,for instances 3,4,7 and 8.Therefore,MGA has desirable convergence and stability for CHPED in comparison with the other four genetic algorithms. 展开更多
关键词 Modified genetic algorithm Combined heat and power economic dispatch Uniform distribution Guassian distribution Disturbance coefficient Prohibited operating zone
A Niche-Based Evolutionary Tabu Search Algorithm for Optimal Coordination of Protection Relays in Power Networks 认领 引用
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作者 YUAN Rongxiang ZOU Xiufen XU Chunlin 《Wuhan University Journal of Natural Sciences》 CAS 2009年第3期215-222,共8页
In this paper, refusal of operation and the degree of constraint violation are considered as one part of the objective function for optimizing the protection relay setting coordination of over current relays in power ... In this paper, refusal of operation and the degree of constraint violation are considered as one part of the objective function for optimizing the protection relay setting coordination of over current relays in power systems; a new expression of objective function in this optimization problem is proposed. To combine the advantages of both Tabu search （TS） and evolutionary algorithms （EAs）, a new niche-based evolutionary Tabu search algorithm （named NETS） is presented to solve this optimization problem. Moreover, in two cases of power networks, comparisons between NETS and two published algorithms are given. Experimental results show the expression of the objective function for protection relay setting is feasible and reasonable, and the proposed algorithm NETS exhibits a good performance. 展开更多
关键词 evolutionary algorithm Tabu search power system protection relay coordination
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A Novel Power Optimization Method by Minimum Comparator Number Algorithm for Pipeline ADCs 认领 引用 被引量：1
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作者 宁宁 吴霜毅 +1 位作者 王向展 杨谟华 《Journal of Electronic Science and Technology of China》 2007年第1期75-80,共6页
The effects of stage numbers on power dissipation of pipeline analog-to-digital converter （ADC） are studied and a novel design method aiming for power optimization is presented. In this method, a minimum comparator ... The effects of stage numbers on power dissipation of pipeline analog-to-digital converter （ADC） are studied and a novel design method aiming for power optimization is presented. In this method, a minimum comparator number algorithm （MCNA） is first introduced, and then the optimum distribution of resolutions through pipeline ADC stages is deduced by MCNA. Based on the optimum stage-resolution distribution, an optimization method is established, which examines the precise function between ADC power and stage resolutions with a parameter of power ratio （Rp）. For 10-bit pipeline ADC with scaling down technology, the simulation results by using MATLAB CAD tools show that an eight-stage topology with 1-bit RSD correction achieves the power optimization indicated by the power reduction ratio. 展开更多
关键词 minimum comparator number algorithm pipeline analog-to-digital converter ,power dissipation scaling down stage resolution
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Steady Fault Characteristic Analysis of a Missile Power System Based on a Differential Evolution Algorithm 认领 引用 被引量：3
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作者 XUZhi-gao GUANZheng-xi MAJing 《International Journal of Plant Engineering and Management》 EI 2005年第2期95-99,共5页
The differential evolution (DE) algorithm is applied to solving themodels''equations of a whole missile power system, and the steady fault characteristics of the wholesystem are analyzed. The DE algorithm is r... The differential evolution (DE) algorithm is applied to solving themodels''equations of a whole missile power system, and the steady fault characteristics of the wholesystem are analyzed. The DE algorithm is robust, requires few control variables, is easy to use andlends itself very well to parallel computation. Calculation results indicate that the DE algorithmsimulates faults of a missile power system very well. 展开更多
关键词 liquid missile power system differential evolution algorithm faultscharacteristic analysis
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Maximum Power Point Tracking Using the Incremental Conductance Algorithm for PV Systems Operating in Rapidly Changing Environmental Conditions 认领 引用 被引量：1
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作者 Derek Ajesam Asoh Brice Damien Noumsi Edwin Nyuysever Mbinkar 《Smart Grid and Renewable Energy》 2022年第5期89-108,共20页
Maximum Power Point Tracking (MPPT) is an important process in Photovoltaic (PV) systems because of the need to extract maximum power from PV panels used in these systems. Without the ability to track and have PV pane... Maximum Power Point Tracking (MPPT) is an important process in Photovoltaic (PV) systems because of the need to extract maximum power from PV panels used in these systems. Without the ability to track and have PV panels operate at its maximum power point (MPP) entails power losses;resulting in high cost since more panels will be required to provide specified energy needs. To achieve high efficiency and low cost, MPPT has therefore become an imperative in PV systems. In this study, an MPP tracker is modeled using the IC algorithm and its behavior under rapidly changing environmental conditions of temperature and irradiation levels is investigated. This algorithm, based on knowledge of the variation of the conductance of PV cells and the operating point with respect to the voltage and current of the panel calculates the slope of the power characteristics to determine the MPP as the peak of the curve. A simple circuit model of the DC-DC boost converter connected to a PV panel is used in the simulation;and the output of the boost converter is fed through a 3-phase inverter to an electricity grid. The model was simulated and tested using MATLAB/Simulink. Simulation results show the effectiveness of the IC algorithm for tracking the MPP in PV systems operating under rapidly changing temperatures and irradiations with a settling time of 2 seconds. 展开更多
关键词 Modeling Simulation PV System Maximum Power Point Tracking (MPPT) Incremental Conductance Algorithm MATLAB/Simulink
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数据、算法、算力要素赋能智能经济的理论逻辑与实践路径 认领 引用 被引量：5
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作者 冯科 《首都经济贸易大学学报》 CSSCI 北大核心 2026年第2期16-28,共13页
智能经济作为引领全球产业变革和经济增长的关键力量,其发展有赖于数据、算法、算力三大新生产要素的协同赋能。本文系统分析了数据、算法、算力逐步成为智能经济基本生产要素的历史必然性,阐述了三大要素通过资本化释放内生增长动力,... 智能经济作为引领全球产业变革和经济增长的关键力量,其发展有赖于数据、算法、算力三大新生产要素的协同赋能。本文系统分析了数据、算法、算力逐步成为智能经济基本生产要素的历史必然性,阐述了三大要素通过资本化释放内生增长动力,协同发挥作用重塑生产方式并推动新质生产力跃升的理论逻辑。针对当前智能经济中的数据悖论、算法异化、算力分布失衡等难题,尝试从多个角度研提政策建议和实施路径,为政策制定者通过优化新生产要素配置助力新质生产力发展提供理论支持和决策依据。 展开更多
关键词 智能经济 数据 算力 算法 要素化 新质生产力
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解蔽数智时代的算法权力及其抽象统治 认领 引用 被引量：3
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作者 孔明安 酒海明 《北京理工大学学报（社会科学版）》 CSSCI 北大核心 2026年第3期1-8,共8页
随着生成式人工智能技术的快速迭代,算法在社会的各个领域得以广泛应用。算法的底层设计根植于开发者的具体偏好与意图,并受资本逻辑规制,甚至成为资本权力维持抽象统治的技术装置。特定算法通过意识形态幻象遮蔽其真实本质,并经由建构... 随着生成式人工智能技术的快速迭代,算法在社会的各个领域得以广泛应用。算法的底层设计根植于开发者的具体偏好与意图,并受资本逻辑规制,甚至成为资本权力维持抽象统治的技术装置。特定算法通过意识形态幻象遮蔽其真实本质,并经由建构“超真实”的数字意识形态景观、强化制度性意识形态国家机器等方式,致使主体陷入失实的误认状态。一方面,算法无形配置主体行为,使主体在虚假的形式自由中受外部力量的间接支配。在此过程中,算法权力潜在地受制于资本权力,并不断地强化其抽象统治,并进一步导致主体深陷于异化困境;另一方面,遭受抽象统治的主体具有无意识认同、理性妥协以及批判抵抗的三重认知状态。对此,应当揭露并约束算法权力与抽象统治的深度结合,通过融入人文诉求优化资本配置环节,约束资本对算法的绝对掌控,强化伦理规范与制度约束的协同作用,实现社会的合理发展。 展开更多
关键词 算法权力 抽象统治 主体认同 意识形态
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智能经济驱动市场结构重塑:理论逻辑、演进机制与优化路径 认领 引用 被引量：1
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作者 李勇坚 刘宗豪 《延边大学学报（社会科学版）》 2026年第3期62-73,141,142,共12页
智能经济是数字经济迈向智能化的新经济形态,其以“数据+算力+算法”为核心技术体系,深刻重塑传统经济的市场运行逻辑与产业组织范式。传统产业组织分析范式在智能经济场景下面临根本性适配挑战,亟须实现从结果导向到结果与过程并重的... 智能经济是数字经济迈向智能化的新经济形态,其以“数据+算力+算法”为核心技术体系,深刻重塑传统经济的市场运行逻辑与产业组织范式。传统产业组织分析范式在智能经济场景下面临根本性适配挑战,亟须实现从结果导向到结果与过程并重的范式转型。本文围绕智能经济驱动市场结构重塑的理论逻辑展开分析,归纳出价格结构非中性、竞争行为前置化和市场边界平台化三大典型特征,并揭示“数据+算力+算法”循环机制是市场结构重塑的核心演进动力,三者分别从制度边界、生态分布和运行规则层面驱动市场结构重塑。制度引导、技术支撑和标准保障的优化路径,能够为我国智能经济健康发展与竞争政策的完善提供理论参考与实践支撑。 展开更多
关键词 智能经济 市场结构 “数据+算力+算法” 数据要素
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分布式光伏电源直供电监控策略研究 认领 引用 被引量：1
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作者 陈石东 杨帅 +2 位作者 贺星 余敏琪 黄瑞 《电力科学与技术学报》 CAS CSCD 北大核心 2026年第2期201-211,共11页
分布式光伏电源的出力的随机性与间歇性对配电网的稳定运行及电能质量提出了显著挑战。对此,提出一种基于近邻传播聚类算法(affinity propagation clustering algorithm,APCA)的方法,有效识别光伏电源的直供电情况。与传统方法不同,该... 分布式光伏电源的出力的随机性与间歇性对配电网的稳定运行及电能质量提出了显著挑战。对此,提出一种基于近邻传播聚类算法(affinity propagation clustering algorithm,APCA)的方法,有效识别光伏电源的直供电情况。与传统方法不同,该方法选择同台区的光伏电源,降低气候和光照强度等因素的影响,提高算法准确性和可操作性。首先,采用相关系数筛,选出相关性较高的光伏电源。其次,利用近邻传播聚类算法(affinity propagation,AP)对三相并网功率曲线进行聚类分析,进一步识别直供电嫌疑并确定可能的直供电类型。最后,采用案例分析,验证所提方法可帮助供电公司更好地管理分布式光伏电源系统,提高电力市场的公平性和透明度。 展开更多
关键词 分布式电源 近邻传播聚类算法 直供电 相关性分析
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算法参与法律规则生成的规范性危机与规制路径 认领 引用 被引量：2
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作者 徐冬根 《政治与法律》 CSSCI 北大核心 2026年第4期85-102,共18页
算法技术对法律规则生成过程的重构,正引发规范性危机。在数字法学视角下,法律规则生成方式的数字化转型成为算法时代的必然趋势,国家中心主义立法范式由此面临算法权力的颠覆性挑战。实验法理学的实证分析表明,算法在法律规则“发现-验... 算法技术对法律规则生成过程的重构,正引发规范性危机。在数字法学视角下,法律规则生成方式的数字化转型成为算法时代的必然趋势,国家中心主义立法范式由此面临算法权力的颠覆性挑战。实验法理学的实证分析表明,算法在法律规则“发现-验证-优化”的全周期中构建起动态演化的数字法秩序。算法参与法律规则生成本质上是技术理性与法律价值之间的博弈,其规范性困境根植于算法权力与立法主权的结构性张力,具体表现为法律规则生成算法化导致的民主赤字、技术寡头规则越界引发的主体危机及形式理性蚕食实质正义的价值侵蚀。算法正义的实现需要搭建三维协同治理框架:以程序协同为支撑,构建多元主体参与的算法规则生成协商机制;以权力制衡为核心,构建算法规则生成权限的规范化约束机制;以价值校准为导向,构建算法规则生成的实质正义审查机制。由此,为算法时代法律规则生成范式转型提供理论解释与制度设计双重维度的创新性解决方案。 展开更多
关键词 算法 法律规则 规范性 算法权力 技术理性 算法正义
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算法权力及其伦理规制——基于算法决策伦理的视角 认领 引用 被引量：1
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作者 黄素珍 《上海市社会主义学院学报》 2026年第1期146-163,共18页
当代由算法驱动的人工智能技术在社会治理、公共生活和私人生活领域的大规模应用极大地扩展了人的控物能力,也极大地提高了公共治理的效率,提升了人们在物质层面的生活福祉,并重塑着人们对公共生活的感知模式、认知框架和行为态度。但... 当代由算法驱动的人工智能技术在社会治理、公共生活和私人生活领域的大规模应用极大地扩展了人的控物能力,也极大地提高了公共治理的效率,提升了人们在物质层面的生活福祉,并重塑着人们对公共生活的感知模式、认知框架和行为态度。但因其技术特性,从算法技术造成的安全风险和伦理风险等各种算法风险表现形式来看,智能算法系统已经溢出了其狭义的机械功能和工具主义特性,越来越演变成一种通过智能技术影响乃至渗透到社会治理组织、公共生活和私人生活领域的建构性、弥漫性权力形态,即“算法权力”。这种新型权力建立在自动化算法决策系统的技术基础之上,并与其他类型的权力机制结合在一起,深刻地嵌入社会结构之中,对社会治理、公共交往和个体精神生活秩序产生了深远的影响。在算法权力诸多表现形态的形成过程中,算法决策系统在人机交互界面的嵌入式广泛使用,给传统应用伦理学的致思方式和应对之道带来全新的挑战,产生了尤其迫切需要伦理反思和规制的难题。针对算法权力的算法决策伦理由此就承载着两个重要任务:在概念上界定算法权力,反思算法决策权的伦理性和公共性,明确算法权力的特征;制定和辩护治理算法权力的伦理框架,确定算法决策系统应用的道德边界,并通过伦理规制和范导为算法治理提供道德动力。 展开更多
关键词 算法风险 算法权力 算法决策伦理 自主能动性
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数字帝国主义时代的意识形态风险与应对 认领 引用 被引量：2
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作者 谭宇轩 曹银忠 《重庆邮电大学学报（社会科学版）》 2026年第1期71-79,共9页
数字帝国主义时代,资本主义的再生产与积累开始寻求新的扩张途径,数字寡头通过开展“数字圈地”运动来抢占网络领土、控制话语权或建立垄断地位。“数字圈地”巩固并扩大了数字帝国主义的“物质”优势,这种物质基础争夺不仅服务于经济剥... 数字帝国主义时代,资本主义的再生产与积累开始寻求新的扩张途径,数字寡头通过开展“数字圈地”运动来抢占网络领土、控制话语权或建立垄断地位。“数字圈地”巩固并扩大了数字帝国主义的“物质”优势,这种物质基础争夺不仅服务于经济剥削,还通过垄断平台、算法、规则等重构了意识形态的生成、传播和接受方式。近年来,数字帝国主义凭借其在数字基础设施、算法权力、网络制度标准制定等“广义”物质基础层面的先发优势和垄断地位,肆意输出其文化和价值理念,在加剧舆论偏见、消解人的主体性、垄断话语传播权力等方面不断“加码”,意图动摇我国主流意识形态的主导地位。随着“数字圈地”运动的不断推进,意识形态斗争逐渐从表层的话语争辩与观念对抗,转向深层次的数字物质基础博弈。因此,防范化解数字帝国主义时代的意识形态风险不能仅停留于观念批判层面,而必须深入到物质基础的建构与争夺之中。具体而言,一是要加强数字基础设施建设,筑牢意识形态传播的硬件基础;二是要规训算法权力,重塑意识形态传播的价值生态;三是要规范网络制度标准,牢牢掌握意识形态话语权。这对当前我国统筹发展和安全、构建自主可控的数字生态、高质量推进网络强国建设具有重要现实意义。 展开更多
关键词 数字帝国主义 意识形态风险 数字圈地 算法权力 主流意识形态
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“人工智能+”赋能新质生产力:核心维度、内在机制与实现路径 认领 引用 被引量：4
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作者 李芝莹 徐政 《西部论坛》 CSSCI 北大核心 2026年第2期30-42,共13页
“人工智能+”不仅是劳动者、劳动资料、劳动对象在算法、算力、数据驱动下实现动态适配、实时反馈与共同演化的系统工程,而且是一项国家主导的战略性融合行动,具有智能化、自适应性、高效性、普适性等特征。“人工智能+”打造新质生产... “人工智能+”不仅是劳动者、劳动资料、劳动对象在算法、算力、数据驱动下实现动态适配、实时反馈与共同演化的系统工程,而且是一项国家主导的战略性融合行动,具有智能化、自适应性、高效性、普适性等特征。“人工智能+”打造新质生产力的基础设施、巩固新质生产力的价值根基、加强新质生产力的制度支撑,并以算法赋能人的全面发展、以算力重构生产工具体系、以数据激活新型生产资料,从而驱动劳动者能力跃升、革新劳动资料形态、拓展劳动对象边界、重构生产力三要素的组合逻辑与互动方式,实现从“线性叠加”到“网络协同”的生产力质变跃升。为推动“人工智能+”高效赋能新质生产力发展,应以算法赋能劳动者,构建人机协同的智能人才生态;以算力升级劳动资料,打造全域联动的智能工具体系;以数据激活劳动对象,释放数据要素的全链条价值;并构建“技术-产业-制度”融合实践机制,助力生产力三要素的组合优化与协同增效。 展开更多
关键词 劳动者 劳动资料 劳动对象 算法 算力 数据 融合范式
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智能经济的发展历程、内涵特征与基本规律研究 认领 引用 被引量：10
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作者 徐翔 陈睿 《当代经济科学》 CSSCI 北大核心 2026年第3期1-15,共15页
人工智能是驱动全球经济从数字时代迈向智能时代的关键力量。立足技术—经济范式与内生经济增长双重视角,刻画智能经济从孕育至爆发的演化路径及其内在驱动机制。研究发现,智能经济呈现出技术层面的“数据—算力—算法”三元融合、经济... 人工智能是驱动全球经济从数字时代迈向智能时代的关键力量。立足技术—经济范式与内生经济增长双重视角,刻画智能经济从孕育至爆发的演化路径及其内在驱动机制。研究发现,智能经济呈现出技术层面的“数据—算力—算法”三元融合、经济层面的零边际成本与规模报酬递增、制度层面的平台中心化治理以及社会层面的人机协同共生等多维特征。在此基础上,深入剖析智能经济运行的核心规律,揭示“任务—技能”替代、互补与创造机制、产业边界消融下的市场集中效应、生产率的J型曲线以及国际比较优势从要素禀赋向算力禀赋动态迁移的理论逻辑。针对伴生的技术风险与分配失衡挑战,提出从重构人机协同生产关系、深化数实融合产业实践、完善数据要素基础制度、构建包容审慎治理体系四个维度出发,构建适配智能经济发展的政策支撑体系等建议。 展开更多
关键词 智能经济 人工智能 内生经济增长 产业边界 “数据—算力—算法”融合 平台中心化治理 人机协同 全要素生产率
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Solution of Combined Heat and Power Economic Dispatch Problem Using Direct Optimization Algorithm 认领 引用 被引量：1
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作者 Dedacus N. Ohaegbuchi Olaniyi S. Maliki +1 位作者 Chinedu P. A. Okwaraoka Hillary Erondu Okwudiri 《Energy and Power Engineering》 2022年第12期737-746,共10页
This paper presents the solution to the combined heat and power economic dispatch problem using a direct solution algorithm for constrained optimization problems. With the potential of Combined Heat and Power (CHP) pr... This paper presents the solution to the combined heat and power economic dispatch problem using a direct solution algorithm for constrained optimization problems. With the potential of Combined Heat and Power (CHP) production to increase the efficiency of power and heat generation simultaneously having been researched and established, the increasing penetration of CHP systems, and determination of economic dispatch of power and heat assumes higher relevance. The Combined Heat and Power Economic Dispatch (CHPED) problem is a demanding optimization problem as both constraints and objective functions can be non-linear and non-convex. This paper presents an explicit formula developed for computing the system-wide incremental costs corresponding with optimal dispatch. The circumvention of the use of iterative search schemes for this crucial step is the innovation inherent in the proposed dispatch procedure. The feasible operating region of the CHP unit three is taken into account in the proposed CHPED problem model, whereas the optimal dispatch of power/heat outputs of CHP unit is determined using the direct Lagrange multiplier solution algorithm. The proposed algorithm is applied to a test system with four units and results are provided. 展开更多
关键词 Economic Dispatch Lagrange Multiplier Algorithm Combined Heat and Power Constraints and Objective Functions Optimal Dispatch
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