This paper discusses the scale optimization problem of an independent photovoltaic wind power supply system with hybrid energy storage,proposes a new technology for optimizing the multi-source power system curve outside the energy storage system,studies the modeling and composition of various energy sources,and effectively achieves energy optimization.The research objective of this article is to minimize the power supply probability loss(LPSP)of demand,and the cost minimization is also another research objective of this paper.The genetic algorithm is used to solve the related problems and achieve the reliable operation of the system.The effectiveness of the algorithm proposed in this paper is verified by experiments,and its optimization results are compared with those of multi-objective particle swarm optimization.
关键词
混合储能/光伏-风能/供电系统/优化分析
Key words
Hybrid energy storage/Photovoltaic wind energy/Power supply system/Optimization analysis
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