浙江电力

2026, v.45;No.358(02) 103-116

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面向配电网韧性提升的光储充一体化电站优化配置方法
An optimal configuration method for integrated PV-storage-charging stations to enhance distribution network resilience

黄程浩,邢海军,郑真,马小丽,沈晓峰,颜华敏,马韬韬
HUANG Chenghao,XING Haijun,ZHENG Zhen,MA Xiaoli,SHEN Xiaofeng,YAN Huamin,MA Taotao

摘要(Abstract):

为应对极端天气和分布式资源扰动对交直流配电网韧性的挑战,提出面向极端天气的交直流配电网高韧性运行背景下的光储充一体化电站优化配置方法。首先,构建考虑电动汽车参数及交通流量波动特性的光储充一体化电站选址模型,采用蒙特卡洛模拟生成充电需求点的空间分布,并运用最大覆盖模型定位候选站的潜在位置。其次,应用蒙特卡洛法模拟极端灾害场景,结合K-means聚类得到典型故障场景。进一步,建立光储充一体化站优化配置双层模型:上层以选址定容为目标,下层针对不同孤岛场景进行应急调度以最小化负荷损失。最后,以某地区26节点配电网为例,验证了所提方法可有效提升配电网在极端天气下的运行韧性。
To address the challenges posed by extreme weather and disturbances from distributed resources to the resilience of hybrid AC/DC distribution networks, this paper proposes an optimal configuration method for integrated PV-storage-charging stations under high-resilience operation scenarios in the presence of extreme weather. First, a siting model for integrated photovoltaic-storage-charging stations is constructed that accounts for electric vehicle parameters and traffic flow fluctuations. Monte Carlo simulation is used to generate the spatial distribution of charging demand points, and the maximal covering model is applied to identify potential locations for candidate stations. Second, Monte Carlo simulation is employed to model extreme disaster scenarios, and K-means clustering is used to obtain typical fault scenarios. Furthermore, a bi-level optimization model is established for the configuration of integrated PV–storage–charging stations: the upper level aims to determine the siting and capacity allocation, while the lower level performs emergency scheduling for different islanding scenarios to minimize load loss. Finally, a 26-node distribution network in a certain region is used as a case study to verify that the proposed method effectively enhances distribution network resilience under extreme weather conditions.

关键词(KeyWords): 光储充一体化电站;交直流配电网;故障恢复;孤岛运行
integrated photovoltaic-storage-charging station;hybrid AC/DC distribution network;fault recovery;islanded operation

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52477106);; 国网上海市电力公司科技项目(B30934240001)

作者(Author): 黄程浩,邢海军,郑真,马小丽,沈晓峰,颜华敏,马韬韬
HUANG Chenghao,XING Haijun,ZHENG Zhen,MA Xiaoli,SHEN Xiaofeng,YAN Huamin,MA Taotao

DOI: 10.19585/j.zjdl.202602010

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