系统仿真学报 ›› 2024, Vol. 36 ›› Issue (4): 834-843.doi: 10.16182/j.issn1004731x.joss.22-1405

• 论文 • 上一篇    下一篇

基于主从博弈的微电网分布式能量管理策略

马苗苗1(), 王浩1, 董利鹏2, 刘向杰1   

  1. 1.华北电力大学 控制与计算机工程学院,北京 102206
    2.中国能源建设集团 广西电力设计研究院有限公司,广西 南宁 530007
  • 收稿日期:2022-11-23 修回日期:2023-02-24 出版日期:2024-04-15 发布日期:2024-04-18
  • 第一作者简介:马苗苗(1982-),女,教授,博导,博士,研究方向为模型预测控制、新能源电力系统优化与控制。Email:mamm@ncepu.edu.cn
  • 基金资助:
    国家自然科学基金(61873091);国家重点研发计划(2020YFB1506600);东北电力大学现代电力系统仿真控制与绿色电能新技术教育部重点实验室开放课题(MPSS2021-03)

Distributed Energy Management Strategy of Microgrid Based on Master-slave Game

Ma Miaomiao1(), Wang Hao1, Dong Lipeng2, Liu Xiangjie1   

  1. 1.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
    2.Guangxi Electric Power Design Institute Co. , Ltd, China Energy Engineering Group, Nanning 530007, China
  • Received:2022-11-23 Revised:2023-02-24 Online:2024-04-15 Published:2024-04-18

摘要:

针对电力市场运营模式下,新能源微电网的整体优化运行与多方投资者的最大利益化之间的冲突问题,提出了基于双层主从博弈的微电网分布式能量管理策略。为充分考虑能源供需两侧的平衡,引入了电力交易代理商的概念,在用户侧提出基于消费者满意度和可调节负荷的综合需求响应策略;考虑源-荷双方的主动性和决策能力,建立了以电力交易代理商为领导者,分布式电源代理商和负荷代理商为追随者的交易决策博弈模型,证明了stackelberg均衡解存在唯一性,采用结合二次规划的差分进化算法对所提模型进行求解。通过对包含分布式电源和社区用户的案例进行分析,验证了所提模型和策略具有良好的收敛性和经济性。

关键词: 能量管理, 主从博弈, 微电网, 电价策略, Stackelberg均衡

Abstract:

Under the operation mode of power market,based on two-layer master-slave game, a distributed energy management strategy for the microgrid is proposed to tackle the conflict between the overall optimal operation of renewable microgrid and the maximum profit of each investor. To fully consider the balance between energy supply and demand, the concept of power trading agent is introduced, and an integrated demand response strategy based on consumer satisfaction and adjustable load is proposed on the user side. Considering the initiative and decision-making ability of power supply and load, the decision-making game model is established with power trading agent as leader and distributed power supply agent and load agent as followers. The existence and uniqueness of Stackelberg game are proved, and the differential evolution algorithm combining quadratic programming is used to solve the proposed model. The excellent convergence and economy of the proposed model and strategy are verified by the case study which include distributed powers and community users.

Key words: energy management, master-slave game, microgrid, power price strategy, Stackelberg equilibrium

中图分类号: