Kaijin Xue, Ye Tang, Chen Wang, Ziyang Liu, Yan Zhao, Donglai Wang
{"title":"Research on Assistant Decision of Transient Stability Based on Trajectory Sensitivity","authors":"Kaijin Xue, Ye Tang, Chen Wang, Ziyang Liu, Yan Zhao, Donglai Wang","doi":"10.12783/DTEEES/PEEES2020/35511","DOIUrl":null,"url":null,"abstract":"In order to improve the execution rate of the power system dispatch plan, a dispatch plan assisted decision-making considering transient safety and stability constraints is proposed. First, the principles for formulating power system transient stability control scheduling are given. Then, through the topological analysis of the expected fault location, decouple the unstable faults, formulate appropriate multi-fault adjustment timing according to the severity of the fault, and decompose the prevention and control problems of multiple fault constraints into several single fault stable control decision problems. In the end, a preventive control adjustment strategy that satisfies all transient stability constraints is obtained. Combined with parallel computing technology, the algorithm has the feasibility of online application.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Environment, Energy and Earth Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTEEES/PEEES2020/35511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to improve the execution rate of the power system dispatch plan, a dispatch plan assisted decision-making considering transient safety and stability constraints is proposed. First, the principles for formulating power system transient stability control scheduling are given. Then, through the topological analysis of the expected fault location, decouple the unstable faults, formulate appropriate multi-fault adjustment timing according to the severity of the fault, and decompose the prevention and control problems of multiple fault constraints into several single fault stable control decision problems. In the end, a preventive control adjustment strategy that satisfies all transient stability constraints is obtained. Combined with parallel computing technology, the algorithm has the feasibility of online application.