Cooperative optimal operation of multi-microgrids and shared energy storage for voltage regulation of distribution networks based on improved Nash bargaining

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Keyu Zhang , Jian Chen , Xianglong Qi , Wen Zhang , Meijia Wei , Da Lin
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引用次数: 0

Abstract

The increasing penetration rate of distributed generation will bring serious voltage violation issues to the distribution networks (DNs). As an effective organization form of distributed generation, microgrids (MGs) have flexible adjustment ability, which can provide voltage support for DNs. To enhance the energy economy and scheduling flexibility of MGs, shared energy storage system (SESS) has received widespread attention as a new type of energy storage technology. To this end, this paper proposes a cooperative optimal operation strategy of MGs and SESS aimed at voltage regulation in DNs. A two-stage cooperative optimization model based on Nash bargaining theory is established for MGs and SESS. In the first stage, the DN is partitioned using an improved electrical distance approach that incorporates voltage regulation incentives, with the objective of minimizing the cooperation costs for MGs and SESS. The second stage involves quantifying the contributions of each participant through a nonlinear energy mapping function, followed by the development of the trading price based on asymmetric bargaining informed by improved Nash bargaining. The goal of this approach is to ensure that MGs and SESS share cooperative benefits fairly. The alternating direction method of the multiplier (ADMM) is used to solve the problems, effectively protecting the privacy of each participating subject. Finally, the effectiveness of the proposed method is demonstrated through an analysis of the improved IEEE 33-node system.
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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