René Fochie Kuate, G. Kenné, A. M. Fombu, A. Cheukem, H. Fotsin
{"title":"Improved UPFC Controller Based on Lyapunov Theory for Power Flow Control and DC Voltage Regulation","authors":"René Fochie Kuate, G. Kenné, A. M. Fombu, A. Cheukem, H. Fotsin","doi":"10.4172/2325-9833.1000157","DOIUrl":null,"url":null,"abstract":"In this paper, an improve robust UPFC controller is designed based on Lyapunov direct method which enhances the power flow and DC voltage regulation of a power system. The proposed controller is robust and produces an optimal response in the presence of unknown bounds of system parameter uncertainty and disturbances. The magnitudes of the uncertainty and disturbances are identified online and the information obtained is then used to tune the controller. The performance of the proposed controller is simulated on a Kundur power system and compared with a state feedback controller with integral control, called state feedback PI controller. Comparative results indicate satisfactory performance of the proposed controller in dealing with the uncertainties and disturbances considered.","PeriodicalId":44634,"journal":{"name":"SAE International Journal of Passenger Cars-Electronic and Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE International Journal of Passenger Cars-Electronic and Electrical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2325-9833.1000157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, an improve robust UPFC controller is designed based on Lyapunov direct method which enhances the power flow and DC voltage regulation of a power system. The proposed controller is robust and produces an optimal response in the presence of unknown bounds of system parameter uncertainty and disturbances. The magnitudes of the uncertainty and disturbances are identified online and the information obtained is then used to tune the controller. The performance of the proposed controller is simulated on a Kundur power system and compared with a state feedback controller with integral control, called state feedback PI controller. Comparative results indicate satisfactory performance of the proposed controller in dealing with the uncertainties and disturbances considered.