Research on Collaborative Optimal Configuration Method of Charging Pile and Energy Storage in Active Distribution Network Based on Double Layers and Multi-Scenarios

2021 International Conference on Power System Technology (POWERCON) Pub Date : 2021-12-08 DOI:10.1109/POWERCON53785.2021.9697725

Jinjian Cai, Zhiping Wang, Xigen Feng, Xiaohua Chen, Hongye Zhang

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Abstract

A method to optimize the configuration of charging piles(CS) and energy storage(ES) with the most economical coordination is proposed. It adopts a two-layer and multi-scenario optimization configuration method. The upper layer considers the configuration of charging piles and energy storage. In the system coupled with the road network, the upper layer considers to improve the convenience and cost of charging electric vehicles by the charging pile configuration; the lower layer considers the operating cost of the distribution network, and reduces the operating cost of the distribution network through the economic benefits of charging piles and energy storage. Use genetic algorithm and solver Gurobi to solve. The feasibility and effectiveness of the proposed method are verified by the improved IEEE 33-node system and 25-node transportation system coupling, and the economic efficiency of the distribution network is improved through the cooperation of energy storage and charging piles.

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基于双层多场景的有源配电网充电桩与储能协同优化配置方法研究

提出了一种以最经济的协调方式优化充电桩和储能配置的方法。采用两层多场景优化配置方法。上层考虑充电桩的配置和储能。在与路网耦合的系统中，上层考虑通过充电桩的配置来提高电动汽车充电的便利性和成本;下层考虑配电网的运行成本，通过充电桩和储能的经济效益降低配电网的运行成本。使用遗传算法和求解器Gurobi进行求解。通过改进的IEEE 33节点系统与25节点运输系统耦合验证了所提方法的可行性和有效性，并通过储能与充电桩的合作提高了配电网的经济效率。

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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2021 International Conference on Power System Technology (POWERCON)

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