面向有源配电网电压质量提升的电能路由器和储能联合规划方法

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Abstract With the development of new power systems, the large-scale integration of renewable energy resources poses challenges to voltage regulation in distribution networks. Power routers are able to rapidly and actively regulate port voltages and power flows, thereby mitigating node voltage fluctuations induced by renewables. This paper employs a K-means clustering method on historical data to derive typical renewable generation scenarios. On this basis, a two-level planning model for power routers and energy storage is formulated: the upper level minimizes total system cost to determine siting and sizing of power routers and storage units, while the lower level carries out intra-day operational optimization with objectives of minimizing voltage deviations and network losses. The model is solved using discrete particle swarm optimization (DPSO) and binary particle swarm optimization (BPSO). Finally, case studies on the IEEE 33-node test feeder validate that power routers combined with energy storage can effectively improve voltage quality in active distribution networks.

Key words： active distribution network electric energy router bi-level planning model particle swarm optimization clustering algorithm

Received: 01 August 2025

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	Articles by authors
	LI Li
	YANG Chengfan
	GUO Kun
	WANG Renjie

Cite this article:

LI Li,YANG Chengfan,GUO Kun等. Joint planning method of electric energy router and energy storage for voltage quality enhancement in active distribution networks[J]. Electrical Engineering, 2026, 27(3): 13-21.

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https://dqjs.cesmedia.cn/EN/Y2026/V27/I3/13

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