南方电网技术2026，Vol.20Issue(5)：92-102,11.DOI:10.13648/j.cnki.issn1674-0629.2026.05.010
配电市场下考虑配电网重构的基于纳什谈判的多微电网电能交易方法
Nash Bargaining-Based Multi-Microgrid Power Energy Trading Method Considering Distribution Network Reconfiguration in the Distribution Market
摘要
Abstract
Multi-microgrid trading behavior not only achieves effective energy collaborative management but also brings economic benefits to entities in the distribution market.To minimize the operational costs of multi-microgrid while reducing power losses in the distribution network,a Nash bargaining method for multi-microgrid electricity trading considering distribution network reconfigura-tion is proposed.Firstly,an optimal operation model for multi-microgrid is established,accounting for their electricity trading.Secondly,based on Nash bargaining theory,a multi-microgrid electricity trading model is constructed,and the original Nash bargain-ing problem is equivalently transformed into two subproblems:minimizing multi-microgrid operational costs and maximizing pay-ment benefits.Then,a distribution network reconfiguration model is developed using the mixed-integer second-order cone program-ming method to optimize power flow and reconfigure the network.The Dijkstra algorithm is employed to find the shortest electrical distance between microgrids under this network topology,updating the electricity transmission paths.Finally,case studies validate the effectiveness of the proposed method.Simulation results demonstrate that the Nash bargaining method for multi-microgrid electricity trading considering distribution network reconfiguration maximizes social benefits,reducing total social costs by 13.67%.关键词
多微电网/纳什谈判/配电网重构/电能交易/配电市场Key words
multi-microgrid/Nash bargaining/distribution network reconfiguration/electric energy transaction/distribution market分类
信息技术与安全科学引用本文复制引用
常堃,杜欣慧,张日新,姜海鹏,张文轩,苏珈..配电市场下考虑配电网重构的基于纳什谈判的多微电网电能交易方法[J].南方电网技术,2026,20(5):92-102,11.基金项目
国家自然科学基金资助项目(52307130). Supported by the National Natural Science Foundation of China(52307130). （52307130）
