In view of optimizing the configuration of each unitâ??s capacity for energy storage in the\nmicrogrid system, in order to ensure that the planned energy storage capacity can meet the\nreasonable operation of the microgridâ??s control strategy, the power fluctuations during the gridconnected\noperation of the microgrid are considered in the planning and The economic benefit of\nhybrid energy storage is quantified. A multi-objective function aiming at minimizing the power\nfluctuation on the DC bus in the microgrid and optimizing the capacity ratio of each energy storage\nsystem in the hybrid energy storage system (HESS) is established. The improved particle swarm\nalgorithm (PSO) is used to solve the objective function, and the solution is applied to the microgrid\nexperimental platform. By comparing the power fluctuations of the battery and the supercapacitor\nin the HESS, the power distribution is directly reflected. Comparing with the traditional mixed\nenergy storage control strategy, it shows that the optimized hybrid energy storage control strategy\ncan save 4.3% of the cost compared with the traditional hybrid energy storage control strategy, and\nthe performance of the power fluctuation of the renewable energy is also improved. It proves that\nthe proposed capacity configuration of the HESS has certain theoretical significance and practical\napplication value.
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