A. Bonfiglio, A. Oliveri, R. Procopio, F. Delfino, G. Denegri, M. Invernizzi, M. Storace
{"title":"Improving power grids transient stability via Model Predictive Control","authors":"A. Bonfiglio, A. Oliveri, R. Procopio, F. Delfino, G. Denegri, M. Invernizzi, M. Storace","doi":"10.1109/PSCC.2014.7038364","DOIUrl":null,"url":null,"abstract":"This paper proposes the application of Model Predictive Control (MPC) to ensure the stability of an electric grid following fault conditions. The technique is firstly described as a general tool; subsequently, the chosen model of the power system is detailed together with the specific requirements to be met by the control algorithm. Finally, the application of MPC strategy to a WECC (Western Electricity Coordinating Council) test case network shows that the effects of a contingency, that would bring the system to instability without any external action, are mitigated by the control action, leading the network to a new working point, as close as possible to the previous one and, most of all, without exceeding the stability limits.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Power Systems Computation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSCC.2014.7038364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
This paper proposes the application of Model Predictive Control (MPC) to ensure the stability of an electric grid following fault conditions. The technique is firstly described as a general tool; subsequently, the chosen model of the power system is detailed together with the specific requirements to be met by the control algorithm. Finally, the application of MPC strategy to a WECC (Western Electricity Coordinating Council) test case network shows that the effects of a contingency, that would bring the system to instability without any external action, are mitigated by the control action, leading the network to a new working point, as close as possible to the previous one and, most of all, without exceeding the stability limits.