摘要
随着光伏发电技术的快速发展,通过配置储能提高区域光伏发电可靠性和经济性成为重要的发展趋势。但是,多数光储微电网发电量相对较小,难以直接参与电力交易。因此,基于光储微电网(PESM)群和光储微电网运营商(PESMO),提出了PESM群与PESMO的主从博弈交易优化及定价策略模型,并通过多元宇宙算法进行求解,同步得到PESMO的实时购售电定价策略及PESM出力调度结果。最后,以某地区的PESM群为研究对象,通过仿真分析验证模型有效解决光储微电网难以参与电力市场交易的问题,实现各主体共赢。研究结果对推进光储一体化发展以及构建新型电力系统具有重要意义。
With the rapid development of photovoltaic power generation technology,it has become an important development trend to improve the reliability and economy of regional photovoltaic power generation by configuring energy storage.However,most photovoltaic storage microgrids have relatively small power generation capacity,which makes it difficult for them to directly participate in power trading.Therefore,based on the photovoltaic storage microgrid(PESM)group and the photovoltaic storage microgrid operator(PESMO),a master-slave game transaction optimization and pricing strategy model for the PESM group and the PESMO is proposed and solved by the multivariate universe algorithm,and the real-time power purchase and sale pricing strategy of the PESMO and the PESM output scheduling results are obtained simultaneously.Finally,taking the PESM group in a certain region as the research object,the model is verified through simulation analysis to effectively solve the problem that it is difficult to participate in the power market transaction of the optical storage microgrid and realize the win-win situation of each subject.The results of the study are of great significance for promoting the integrated development of photovoltaic storage and constructing a new type of power system.
出处
《价格理论与实践》
北大核心
2024年第5期97-103,共7页
Price:Theory & Practice
关键词
光储微电网群
主从博弈
交易优化
定价策略
optical storage microgrid cluster
master-slave game
transaction optimization
pricing strategy
作者简介
胡文建(1969-),男,汉族,四川成都人,华北电力大学工学学士,国网石家庄供电公司副高级工程师。研究方向:电力系统运行管理及微网运行优化
