分布式能源2023，Vol.8Issue(6)：20-26,7.DOI:10.16513/j.2096-2185.DE.2308603
基于最优路径的配电网弹性恢复力提升策略
A Strategy for Enhancing the Elastic Resilience of Distribution Networks Based on Optimal Path
摘要
Abstract
This article proposes a two-stage strategy for improving the elastic resilience of distribution network systems under extreme weather conditions,with a long and short time scale.After a disaster occurs,the distribution network is isolated and reconstructed to restore short-term power supply by arranging distributed power sources and interconnection switches in a short period of time.Considering the impact of extreme weather on the transportation network after an extreme disaster occurs,the maintenance team needs to complete maintenance in the shortest possible time to minimize load reduction costs.For analyzing the evolution of long and short-term faults,a robust optimization(RO)model is established through collaborative optimization,which is solved using column and constraint generation(C&CG)algorithm.Finally,case studies are conducted to verify the effectiveness of the proposed model in improving the elastic resilience of distribution networks.关键词
极端天气/电力系统弹性/两阶段鲁棒优化模型/列与约束生成(C&CG)算法Key words
extreme weather/power system elasticity/two-stage robust optimization model/column-and-constraint(C&CG)generation分类
能源科技引用本文复制引用
张新宇,姚方,文福拴,岳文全,薛栋烽..基于最优路径的配电网弹性恢复力提升策略[J].分布式能源,2023,8(6):20-26,7.基金项目
山西省回国留学人员科研教研资助项目(2022-005)This work is supported by Shanxi Scholarship Council of China(2022-005) （2022-005）
