{"title":"STATCOM在潮流中的动态建模与集成","authors":"A. Tadros, M. Khaldi","doi":"10.1109/ACTEA.2016.7560113","DOIUrl":null,"url":null,"abstract":"This paper presents the dynamic modeling and control of the static synchronous compensator (STATCOM). An optimal Linear Quadratic Regulator (LQR) controller is designed and Kalman gains are derived. Moreover, the power flow equations are modified to include the STATCOM power equations. The proposed model is tested on IEEE 5-bus and 14-bus power systems using Matlab.","PeriodicalId":220936,"journal":{"name":"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"STATCOM dynamic modeling and integration in power flow\",\"authors\":\"A. Tadros, M. Khaldi\",\"doi\":\"10.1109/ACTEA.2016.7560113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the dynamic modeling and control of the static synchronous compensator (STATCOM). An optimal Linear Quadratic Regulator (LQR) controller is designed and Kalman gains are derived. Moreover, the power flow equations are modified to include the STATCOM power equations. The proposed model is tested on IEEE 5-bus and 14-bus power systems using Matlab.\",\"PeriodicalId\":220936,\"journal\":{\"name\":\"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACTEA.2016.7560113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACTEA.2016.7560113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
STATCOM dynamic modeling and integration in power flow
This paper presents the dynamic modeling and control of the static synchronous compensator (STATCOM). An optimal Linear Quadratic Regulator (LQR) controller is designed and Kalman gains are derived. Moreover, the power flow equations are modified to include the STATCOM power equations. The proposed model is tested on IEEE 5-bus and 14-bus power systems using Matlab.