考虑电价机制的微电网群主从博弈优化方法  

Stackelberg Game Optimization Method for Microgrid Cluster Considering Electricity Price Mechanism

作　　者：芮涛[1] 李国丽[1] 胡存刚[1] 王群京[1] 徐斌 张进[1] RUI Taoi;LI Guoli;HU Cungang;WANG Qunjing;XU Bin;ZHANG Jin(Anhui University,Hefei 230601,Anhui Province,China;State Grid Anhui Electric Power Co.Ltd.Research Institute,Hefei 230601,Anhui Province,China)

机构地区：[1]安徽大学,安徽省合肥市230601 [2]国网安徽省电力有限公司电力科学研究院,安徽省合肥市230601

出　　处：《中国电机工程学报》2020年第8期2535-2545,共11页Proceedings of the CSEE

基　　金：国家重点研发计划项目(2016YFB0900400)。

摘　　要：随着售电侧电力市场改革的不断深入,研究微电网群的能源交易问题对提升配电网经济性具有重要意义。该文提出一种基于主从博弈的微电网群优化运行方法。首先,采用滚动优化的方式确定下一时段微电网的储能电池调度计划,及微电网运营商参与能源交易的角色。其次,构建了微电网群运营商与微电网运营商之间的主从博弈模型。该模型根据最优负荷需求与内部电价的关系,优化下一时段群内电价与微电网运营商负荷需求,进而促进群内能量互动,并提升微电网群经济效益。最后,通过仿真算例,验证了该方法对提升区域配电网经济效益的有效性。With the deepening reform of the electricity market on the retail side, it is of great significance to explore the energy trading of microgrid cluster(MGC) for improving the economy of distribution networks. In this paper, an optimization method based on Stackelberg game for microgrid cluster was proposed. Firstly, the rolling optimization method was used to determine the energy storage scheduling and the energy trading role of microgrid operators(MGOs) in next scale. Secondly, a Stackelberg game was proposed to build the hour-ahead market between MGC operator(MGCO) and multiple MGOs. According to the relationship between optimal load demand and internal prices, the model could improve the energy interaction and the economic benefits of MGC by optimizing the internal prices in next time slot. Finally, the simulation results verify the effectiveness of the proposed method in improving the economic benefits and energy utilization rate of regional distribution network.

关 键 词：微电网群 主从博弈 电价机制 能源交易 

分 类 号：TM73[电气工程—电力系统及自动化]