考虑配电网净负荷时空分布特性的储能优化配置

沈娜; 柯楠; 李书勇; 郭长兴; 蔡海青

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

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 774-784. DOI: 10.19912/j.0254-0096.tynxb.2024-1581

考虑配电网净负荷时空分布特性的储能优化配置

沈娜¹, 柯楠¹, 李书勇^2,3, 郭长兴¹, 蔡海青²

作者信息 +

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

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

Author information +

文章历史 +

摘要

在考虑配电网净负荷时空分布的复杂特性的基础上,提出一种考虑多目标的储能优化配置模型。首先,根据净负荷的时空随机分布特性,构建电动汽车无序充电负荷的时空预测模型。其次,考虑储能系统的日均综合成本、净负荷的波动率以及网络损耗等关键因素,建立一个储能优化配置模型,通过结合多目标鲸鱼优化算法与Gurobi求解器对模型进行求解。以改进IEEE33节点配电网进行算例分析,结果表明当在储能优化配置中考虑配电网净负荷的时空特性时可显著平滑配电网净负荷的波动,验证了所提配置模型的可行性与有效性。

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.

导出引用

沈娜, 柯楠, 李书勇, 郭长兴, 蔡海青. 考虑配电网净负荷时空分布特性的储能优化配置[J]. 太阳能学报. 2026, 47(1): 774-784 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1581

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

中图分类号： TM73

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