风-光-氢多主体博弈的微电网优化配置  

Optimization Configuration of Microgrid Based on Wind Solar Hydrogen Multi-agent Game

作　　者：曾楚淳 宋潇 肖冬雪 安晨 ZENG Chuchun;SONG Xiao;XIAO Dongxue;AN Chen(Electrical Engineering College of Shaanxi University of Technology,Hanzhong 723000,China)

机构地区：[1]陕西理工大学电气工程学院,陕西汉中723000

出　　处：《电工技术》2025年第4期38-42,46,共6页Electric Engineering

摘　　要：利用可再生能源发电制氢是微电网今后研究的重要方向之一。以含风电、光伏和电制氢系统的多电源微电网为研究对象,为实现多主体经济效益最大化,提升微电网运行的经济性,以考虑成本、惩罚费用和约束条件等因素下的效益函数最大化为优化目标,构建了基于博弈论的风-光-氢微电网容量优化配置模型,把收益最大化的容量配置作为博弈策略,分析了多主体的非合作博弈模型,最后采用西北某地区数据在不同场景下进行分析和对比,并运用粒子群算法求解各博弈参与者的Nash均衡解。仿真结果表明,在所提模型和算法下求解出的容量配置策略能实现收益最大化,减少弃风弃光量,验证了该模型的有效性和实用性。Utilizing renewable energy to generate hydrogen is one of the important directions for future research on microgrids.Taking a multi power microgrid with wind power,photovoltaic,and hydrogen production systems as the research object,in order to maximize the economic benefits of multiple agents and improve the economic efficiency of microgrid operation,a game theory based wind solar hydrogen microgrid capacity optimization configuration model was constructed with the optimization objective of maximizing the benefit function considering factors such as cost,penalty cost,and constraint conditions.The capacity configuration that maximizes the benefits was used as the game strategy,and the multi-agent non cooperative game model was analyzed.Finally,data from a certain region in Northwest China was analyzed and compared in different scenarios,and the Nash equilibrium solution of each game participant was solved using particle swarm optimization algorithm.The simulation results show that the capacity allocation strategy solved under this model and algorithm can achieve maximum revenue and reduce the amount of abandoned wind and light,verifying the effectiveness and practicality of the model.

关 键 词：风-光-氢 容量优化配置 博弈论 粒子群算法 NASH均衡 

分 类 号：TM732[电气工程—电力系统及自动化]