OPTIMIZED ENERGY STORAGE CONFIGURATION CONSIDERINGSPATIOTEMPORAL DISTRIBUTION CHARACTERISTICS OFDISTRIBUTION NETWORK&#x02019;S NET LOAD

Shen Na; Ke Nan; Li Shuyong; Guo Changxing; Cai Haiqing

doi:10.19912/j.0254-0096.tynxb.2024-1581

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 774-784. DOI: 10.19912/j.0254-0096.tynxb.2024-1581

OPTIMIZED ENERGY STORAGE CONFIGURATION CONSIDERINGSPATIOTEMPORAL DISTRIBUTION CHARACTERISTICS OFDISTRIBUTION NETWORK’S NET LOAD

Shen Na¹, Ke Nan¹, Li Shuyong^2,3, Guo Changxing¹, Cai Haiqing²

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Abstract

Considering the complex spatio-temporal distribution characteristics of the distribution network net load, a multi-objective energy storage system optimal configuration model for the energy storage system is proposed. Firstly, based on the spatiotemporal stochastic distribution characteristics of net load, a spatio-temporal prediction model for uncoordinated electric vehicle charging load is constructed. Secondly, an optimization model for energy storage configuration is established, considering key factors such as the daily comprehensive cost of energy storage systems, the net load fluctuation rate, and network losses. The model is solved by integrating a multiobjective whale optimization algorithm with the Gurobi solver. A case analysis is conducted on an improved IEEE33-node distribution network. The results indicate that by incorporating the spatiotemporal characteristics of distribution network net loads into the energy storage optimization configuration, the fluctuations of net loads can be significantly smoothed, verifying the feasibility and effectiveness of the proposed configuration model.

Key words

power distribution networks / energy storage / multiobjective optimization / electric vehicles / spatiotemporal distribution characteristics / net load

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Shen Na, Ke Nan, Li Shuyong, Guo Changxing, Cai Haiqing. OPTIMIZED ENERGY STORAGE CONFIGURATION CONSIDERINGSPATIOTEMPORAL DISTRIBUTION CHARACTERISTICS OFDISTRIBUTION NETWORK’S NET LOAD[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 774-784 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1581

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