基于分布式分支界限算法的产消者联盟电能交易策略

随着分布式能源在配电网中的高比例渗透，产消者作为新型主体参与市场竞争日益受到关注。基于合作博弈的产消者联盟电能交易可增加产消者的整体收益，产消者采用动态联盟结构可提升对环境变化的适应协调能力。为此，提出基于多代理系统（MAS）的产消者联盟运行框架，以及在此框架下产消者联盟电能交易的双层优化模型。上层模型使用分布式分支界限算法求解最优联盟结构下的产消者电能交易策略；下层模型根据更新的交易电价调整产消者购售电计划。最后通过仿真算例验证了所提方法的合理性、有效性及模型的可扩展性。

Electricity Trading Strategy for Prosumer Coalition Based on Distributed Branch-and-Bound Algorithm

With the high penetration of distributed energy resources in the distribution grid， the participation of prosumer as a new agent in the market competition is getting more attention. The prosumer coalition electricity trading based on cooperative game can increase the overall benefits of the prosumer. The dynamic coalition structure of the prosumer can enhance their ability to adapt and coordinate to environmental changes. Therefore， the paper proposes a multi-agent system （MAS）-based framework for the operation of the prosumer coalition and a bi-layer optimization model for the prosumer coalition electricity trading under tthe framework. The upper layer uses the distributed branch-and-bound algorithm to solve the electricity trading strategy for the prosumer coalition under the optimal coalition structure. The lower layer adjusts the power purchasing and selling scheduling according to the trading price updating. Finally， the rationality and efficiency of the proposed method and the scalability of the model are verified with a simulation case.