能源共享市场配电网电压在线调节：一种基于反馈的参数估计方法

IF 9.8 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Smart Grid Pub Date : 2025-03-27 DOI:10.1109/TSG.2025.3555320

Wenyue Wang;Yiming Liu;Zhaojian Wang

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引用次数: 0

摘要

随着产消者数量的快速增长，配电网络中的能源共享市场正在兴起。有功功率的交易影响配电网的潮流，在线路电阻不小的情况下会引起电压波动。本文研究了考虑电力市场的配电网电压调节问题。我们首先以非合作博弈的形式来表述这个问题。证明了广义纳什均衡（GNE）的唯一性。然后，在不知道准确的电阻和电抗值的情况下，提出了一种在线估计参数的基于反馈的GNE搜索算法。结果表明，估计误差在期望范围内是准确的。从理论上保证了算法的收敛性。最后，在IEEE 33总线系统中的数值结果验证了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Online Voltage Regulation of Distribution Networks in Energy Sharing Markets: A Feedback-Based Method With Parameter Estimation

With the number of prosumers rising quickly, energy sharing markets in distribution networks are emerging. The trading of active power influences the power flow in the distribution network, which will cause voltage fluctuation when the line resistance is not trivial. In this paper, we investigate the voltage regulation problem of distribution networks with the consideration of electricity markets. We first formulate the problem in the form of a non-cooperative game. The uniqueness of generalized Nash Equilibrium (GNE) is proved. Then, a feedback-based GNE seeking algorithm is proposed with online parameter estimation without knowing accurate values of resistance and reactance. The estimation error is proved to be accurate in expectation. The convergence of the algorithm is also guaranteed theoretically. Finally, numerical results in the IEEE 33-bus system validate the effectiveness of the algorithm.

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来源期刊

IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

22.10

自引率

9.40%

发文量

526

审稿时长

6 months

期刊介绍： The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.