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Keywords

power distribution network;energy storage planning;orderly clustering;mixed‑integer second‑order cone programming (MISOCP)

Abstract

To fully explore the temporal and cyclical characteristics of electric power loads and further enhance the reliability and cost-effectiveness of energy storage planning for distribution networks, firstly, based on the similarity analysis of three typical load curves throughout the year, a more refined clustering is performed on various load curves using the ordered clustering method according to the annual time series. Subsequently, the minimum time unit for dynamically configuring mobile energy storage in the distribution network is planned on a monthly basis. Thereby an active distribution network energy storage planning method is proposed based on ordered clustering of loads. Finally, the proposed method is validated using the IEEE‑33 node system. The case study results indicate that the energy storage configuration scheme, taking into account the actual temporal characteristics of the load, exhibits better economic efficiency and provides a more realistic reflection of the actual operation of the distribution network. The approach represents an effective extension of the flexible utilization of energy storage devices in distribution networks. It can better serve the dynamic operational conditions of active distribution networks, thereby enhancing the role of energy storage.

DOI

10.19781/j.issn.1673-9140.2023.06.020

First Page

187

Last Page

197

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