负荷侧共享储能参与下的微电网电力市场交易  

Microgrid Power Market Transaction with Load-side Shared Energy Storage Participation

作　　者：李艳琼 朱长耀 周伟 马媛 杨丽君[5] LI Yanqiong;ZHU Changyao;ZHOU Wei;MA Yuan;YANG Lijun(Zhangjiakou Power Supply Company of State Grid Jibei Electric Power Co.,Ltd.,Zhangjiakou,Hebei 075000;Zhangjiakou Construction and Development New Energy Development and Utilization Co.,Ltd.,Zhangjiakou,Hebei 075000;Chengde Power Supply Company of State Grid Jibei Electric Power Co.,Ltd.,Chengde,Hebei 067000;Qinhuangdao Power Supply Company of State Grid Jibei Electric Power Co.,Ltd.,Qinhuangdao,Hebei 066000;Yanshan University,Qinhuangdao,Hebei 066004)

机构地区：[1]国网冀北电力有限公司张家口供电公司,河北张家口075000 [2]张家口建设发展新能源开发利用有限公司,河北张家口075000 [3]国网冀北电力有限公司承德供电公司,河北承德067000 [4]国网冀北电力有限公司秦皇岛供电公司,河北秦皇岛066000 [5]燕山大学,河北秦皇岛066004

出　　处：《河北电力技术》2025年第1期27-35,共9页Hebei Electric Power

摘　　要：当前能源市场正由传统的垂直一体式结构向交互竞争型结构转变。为更好地挖掘负荷侧资源潜力参与市场交易,提升市场竞争力,本文考虑负荷侧共享储能的灵活作用和负荷间的互补特性,提出一种表征各主体交互竞争关系的分布式微电网源荷分时市场交易策略。引入主从博弈求解各方目标最优时的交互策略,建立基于主从博弈的微电网分时市场交易的数学模型,证明了主从博弈下Stackelberg均衡的存在性和唯一性,利用遗传算法结合二次规划进行模型求解。算例验证了所提策略﹑模型和求解的有效性,结果表明负荷侧共享储能参与负荷调控,不但能有效提升负荷参与系统运行的灵活能力,还能在市场化交易中进一步提升系统的收益,符合市场化交易预期。给出的主从博弈模型和求解方法能很好均衡市场交易环境下供/需双方的利益诉求、具有很好的收敛性。The current energy market is transitioning from a traditional vertical integrated structure to an interactive and competitive structure.In order to better tap into the potential of user side resources to participate in market transactions and enhance market competitiveness, this article consider the flexible role of user side shared energy storage and the complementary characteristics of loads, and propose a distributed microgrid source load time-sharing market trading strategy that characterizes the interactive competition relationship of various entities.The interaction strategy of master-slave game is introduced to solve the optimal target of each party, and the mathematical model of micro grid time-sharing market transaction based on master-slave game is established.The existence and uniqueness of Stackelberg equilibrium under master-slave game are proved, and the model is solved by genetic algorithm combined with Quadratic programming.The effectiveness of the proposed strategy, model, and solution was verified by numerical examples.The results show that the user side shared energy storage participating in load regulation not only effectively enhances the flexibility of load participation in system operation, but also further enhances the system's revenue in market-oriented transactions, in line with market-oriented trading expectations.The given master-slave game model and solution method can effectively balance the interests and demands of both supply and demand parties in the market trading environment, and have good convergence.

关 键 词：微电网 市场交易 共享储能 STACKELBERG均衡 

分 类 号：TM73[电气工程—电力系统及自动化]