Multi-objective Optimal Configuration of Distributed Energy Storage in Distribution Network Considering Different User Characteristics

2022 Asia Power and Electrical Technology Conference (APET) Pub Date : 2022-11-11 DOI:10.1109/APET56294.2022.10073196

Kun Liang, Tianwen Zheng, Libo Jiang

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引用次数: 1

Abstract

There is a number of important differences among different load types in the distribution network, which seriously affects the accuracy of the distributed energy storage configuration. Therefore, considering the load differences in the distribution network, a multi-objective optimal configuration method of distributed energy storage in the distribution network considering different user characteristics is proposed. Firstly, the differences among industrial, commercial, and residential loads and their influence on distributed energy storage configuration in the distribution network are analyzed. Secondly, a multi-objective model of maximizing the net benefit of the distributed energy storage and minimizing the voltage deviation in the distribution network is established. Then, an improved multi-objective particle swarm optimization algorithm is proposed, which obtains the optimal capacity and position of distributed energy storage. Finally, the validity of this method is verified by the simulation test of the improved IEEE33 distribution network system.

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考虑不同用户特性的配电网分布式储能多目标优化配置

配电网中不同负荷类型之间存在许多重要差异，严重影响分布式储能配置的准确性。因此，考虑配电网负荷差异，提出了一种考虑不同用户特性的配电网分布式储能多目标优化配置方法。首先，分析了工业负荷、商业负荷和居民负荷的差异及其对配电网分布式储能配置的影响。其次，建立了分布式储能净效益最大化和配电网电压偏差最小化的多目标模型;然后，提出了一种改进的多目标粒子群优化算法，得到了分布式储能的最优容量和位置。最后，通过改进后的IEEE33配电网系统的仿真测试，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 Asia Power and Electrical Technology Conference (APET)

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