基于非合作博弈的风-光-氢微电网容量优化配置

多分布式电源参与的混合微网容量优化配置是微网设计的一个重要环节,文中针对构建的风电、光伏和制氢-储氢-发电一体化微网系统的容量配置问题进行了研究。系统设立了三个投资方并以各投资方的收益最大化为优化目标,建立了基于非合作博弈的风-光-氢微网容量优化配置模型,考虑了各博弈方投资成本、运维成本、购售电成本、弃风弃光惩罚费用和负荷中断惩罚费用等经济因素,利用粒子群算法对各博弈方的容量配置进行单独优化,确定了各博弈方收益最大化的Nash均衡点。最后采用新疆某地区典型月的风速和光照强度数据对微网容量配置进行算例分析。结果表明该模型能够在月综合成本相对较低的前提下保证供电的可靠性,实现了微网系统容量的合理配置。

Optimal capacity configuration of wind-photovoltaic-hydrogen microgrid based on non-cooperative game theory

The optimal capacity allocation of hybrid microgrid involving multiple distributed generations is an important part of microgrid design. In this paper, the capacity allocation of the constructed wind power, photovoltaic and hydrogen generation-hydrogen storage-generation integrated microgrid system is studied. The system sets up three investors and takes the profit maximization of each investor as the optimization objective, and establishes the capacity optimization allocation model of wind-photovoltaic-hydrogen microgrid based on non-cooperative game. Considering the economic factors such as investment cost, operation and maintenance cost, purchase and sale cost of electricity, punishment cost of wind and light abandonment, and punishment cost of load interruption of each player, the particle swarm optimization algorithm is used to optimize the capacity allocation of each player separately, and the Nash equilibrium point of profit maximization of each player is determined. Finally, the wind speed and light intensity data of a typical month in Xinjiang are used to analyze the microgrid capacity allocation. The results show that the model can ensure the reliability of power supply under the premise of relatively low monthly comprehensive cost, and realize the rational allocation of microgrid system capacity.