考虑高比例新能源发电接入的配电网分布式储能优化配置

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Abstract High penetration of the distributed renewable energy causes several problems in the grid. For a coordinated operation of wind, solar, and energy storage in a distribution network, an optimal allocation method of energy storage based on an improved multi-objective particle swarm optimization is proposed in this article. Firstly, an optimization model considering voltage fluctuation, grid-connected power fluctuation rate and energy storage rated capacity is constructed. Secondly, an inertia weight dynamic adjustment mechanism based on particle similarity is proposed to enhance the global search ability. The file update method that integrates the cyclic crowding sorting and cross mutation strategy maintains the Pareto frontier and avoids the risk of local convergence. Thus, the technique for order preference by similarity to an ideal solution (TOPSIS) hybrid decision model is used to select the optimal configuration scheme from the non-inferior solution set. Finally, the proposed method is tested on the IEEE 33-bus distribution network through four examples. The simulation results show that compared with the traditional particle swarm optimization and non-dominating sorting genetic algorithm Ⅱ (NSGA-Ⅱ), the proposed method reduces the voltage/power fluctuation and the energy storage configuration capacity, which verifies its effectiveness.

Key words： distribution network distributed energy storage optimal allocation multi-objective particle swarm optimization

Received: 04 August 2025

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	Articles by authors
	ZHANG Yu
	WU Rui
	TONG Wei
	FANG Wei

Cite this article:

ZHANG Yu,WU Rui,TONG Wei等. Optimal allocation of distributed energy storage in distribution networks with high penetration of renewable energy generation[J]. Electrical Engineering, 2025, 26(12): 16-23.

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https://dqjs.cesmedia.cn/EN/Y2025/V26/I12/16

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