Jinshun Su, P. Dehghanian, Mostafa Nazemi, Bo Wang
{"title":"Distributed Wind Power Resources for Enhanced Power Grid Resilience","authors":"Jinshun Su, P. Dehghanian, Mostafa Nazemi, Bo Wang","doi":"10.1109/NAPS46351.2019.9000240","DOIUrl":null,"url":null,"abstract":"Electricity outages and large scale blackouts due to natural disasters have been observed commonplace recently. Therefore, it is urgently needed to develop an efficient restoration strategy to ameliorate a grid-scale capability for restoration. With increasing penetration of renewable energy resources, it is a great potential to include wind power into the system restoration planing processes. This paper develops an efficient restoration strategy considering wind energy participation to achieve an enhanced grid resilience in response to widespread emergencies. The proposed strategy is formulated as a mixed-integer linear programming (MILP) model. In order to verify the applicability of the proposed method, the vulnerability of power elements is taken into account following a high-impact low-probability (HILP) event. The developed strategy is comprehensively tested on the modified IEEE 118-bus test system and the numerical results illustrate the efficiency of the proposed method.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS46351.2019.9000240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Electricity outages and large scale blackouts due to natural disasters have been observed commonplace recently. Therefore, it is urgently needed to develop an efficient restoration strategy to ameliorate a grid-scale capability for restoration. With increasing penetration of renewable energy resources, it is a great potential to include wind power into the system restoration planing processes. This paper develops an efficient restoration strategy considering wind energy participation to achieve an enhanced grid resilience in response to widespread emergencies. The proposed strategy is formulated as a mixed-integer linear programming (MILP) model. In order to verify the applicability of the proposed method, the vulnerability of power elements is taken into account following a high-impact low-probability (HILP) event. The developed strategy is comprehensively tested on the modified IEEE 118-bus test system and the numerical results illustrate the efficiency of the proposed method.