Disaster resilience enhancement strategy of an intelligent distribution network in parks considering a variety of flexibility resources

被引：0
作者：
Ge, Yanfeng [1 ]
Qiu, Yu [2 ]
Zhang, Yunxu [1 ]
Guan, Yongbao [1 ]
Jiang, Hua [1 ]
Li, Jianmou [1 ]
机构：
[1] Yingkou Power Supply Company, State Grid Liaoning Electric Power Co., Ltd., Yingkou
[2] Northeast Electric Power University, Jilin
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 17期
关键词：
demand response; emergency power supply vehicle; intelligent distribution network of a park; network reconfiguration; resilience enhancement;
D O I：
10.19783/j.cnki.pspc.240079
中图分类号：
学科分类号：
摘要：
With the frequent occurrence of extreme natural disasters affecting the intelligent distribution network of a park, large-scale power outage brings great challenges to the safe operation of such a network. To solve the above problems, this paper establishes a two-layer optimization model of fault resistance and absorption during a disaster, and proposes a disaster resilience improvement strategy of an intelligent distribution network in parks. by taking into account a variety of flexible resources. First, the upper layer fault reconstruction model aims to maximize the expectation of load recovery value, optimizes the distribution network fault reconstruction scheme, and transmits the reconstruction results to the lower layer. Secondly, the lower layer elasticity enhancement model aims to maximize the distribution network elasticity level, and quantifies the demand response configuration scheme. Finally, the distribution network of Yingkou free trade zone and PG&E69-node distribution network are taken as examples for simulation analysis. The results show that the proposed system load value recovery expectation is increased by 81%, the system load loss is reduced by 61%, and the overall elasticity level of the intelligent distribution network in the park is improved. © 2024 Power System Protection and Control Press. All rights reserved.
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页码：139 / 149
页数：10
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