Research on Self-healing Restoration Power Supply Strategy of Active Distribution Network Based on Energy Storage

Jinxing Xiao, Bingyan Xu, Ying Ye, Heli Chen, Zhenkun Li
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引用次数: 1

Abstract

With the rapid decline of energy storage cost, the application of centralized and distributed energy storage in power grid has attracted extensive attention from researchers at home and abroad in recent years. This paper puts forward a kind of improving power supply reliability distribution network storage location constant volume bi-level optimization model. First, this paper puts forward the islands of the probability of energy storage for power supply based on the strategy, on the basis of this puts forward distribution network fault impact block, and established a distribution network loss; Secondly, using bi-level optimization algorithm to optimize a storage location and capacity allocation. The Outer load loss risk is adopted to define the position of the storage location, the inner layer using particle swarm optimization (PSO) algorithm to get the optimal capacity configuration and energy storage charge and discharge operation strategy; Finally, to the node test system as an example of the proposed method, the simulation results verify the accuracy of the method.
基于储能的有源配电网自愈恢复供电策略研究
随着储能成本的快速下降,集中式和分布式储能在电网中的应用近年来受到了国内外研究者的广泛关注。提出了一种提高供电可靠性的配电网库位等容双级优化模型。首先,本文提出了基于孤岛概率的储能供电策略,在此基础上提出了配电网故障影响块,并建立了配电网损失;其次,采用双层优化算法对存储位置和容量分配进行优化。外层采用负载损失风险位置来定义储能位置,内层采用粒子群优化(PSO)算法得到最优容量配置和储能充放电运行策略;最后,以节点测试系统为例,仿真结果验证了所提方法的准确性。
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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