Zhu Hainan, Yang Na, Guo Panhui, Chen Bingbing, Li Zongxuan, Fang Wei, Zhou Yu, Xian Richang
{"title":"Optimization of Generating Unit Restoration Considering Restoration Path Operation Success Rate","authors":"Zhu Hainan, Yang Na, Guo Panhui, Chen Bingbing, Li Zongxuan, Fang Wei, Zhou Yu, Xian Richang","doi":"10.1109/CICED.2018.8592272","DOIUrl":null,"url":null,"abstract":"Reasonable and practicable sequence of generating unit restoration can ensure the rapidness of restoration process. This paper presents a new definition of transmission line weight and a conception of operation success rate of generating unit restoration paths based on the presented weight definition and the self-excitation margin. An optimization model is proposed to maximize the restoration path operation success rate and the total power generation capability over a restoration period. The model is solved by Dijkstra algorithm and the modified particle swarm optimization(PSO) algorithm with crossover factors. Simulation results on IEEE 30-bus system and Shandong power grid of China demonstrate the fast optimization and the high feasibility of restoration plan.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 China International Conference on Electricity Distribution (CICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICED.2018.8592272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Reasonable and practicable sequence of generating unit restoration can ensure the rapidness of restoration process. This paper presents a new definition of transmission line weight and a conception of operation success rate of generating unit restoration paths based on the presented weight definition and the self-excitation margin. An optimization model is proposed to maximize the restoration path operation success rate and the total power generation capability over a restoration period. The model is solved by Dijkstra algorithm and the modified particle swarm optimization(PSO) algorithm with crossover factors. Simulation results on IEEE 30-bus system and Shandong power grid of China demonstrate the fast optimization and the high feasibility of restoration plan.
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