{"title":"DMPC Scheme for Load Frequency Control with Application to Interconnected Power System","authors":"Igbineweka Ernest Uyioghosa, A. K. Saha","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041073","DOIUrl":null,"url":null,"abstract":"Reliability in load frequency control (LFC) is of importance in modern power system generation, transmission constraint and distribution, it has been the basis of research in advance control theory and application in recent years. In LFC scheme, local load disturbance, frequency deviation, and generation rate constraints (GRC) are the major nonlinear factors because they significantly affect the active response of the system to a large extent. This work focuses on the distributed model predictive control (DMPC) strategies for handling dynamic response and uncertainties of power systems based on the promising results from past research on model predictive control (MPC). A computing methodology is used in order to evaluate the effectiveness of the proposed controller, the proposed DMPC scheme is tested with a four-area hydro-thermal generating system and compared with a conventional MPC. The resulting simulation shows the effectiveness of the DMPC controller.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International SAUPEC/RobMech/PRASA Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Reliability in load frequency control (LFC) is of importance in modern power system generation, transmission constraint and distribution, it has been the basis of research in advance control theory and application in recent years. In LFC scheme, local load disturbance, frequency deviation, and generation rate constraints (GRC) are the major nonlinear factors because they significantly affect the active response of the system to a large extent. This work focuses on the distributed model predictive control (DMPC) strategies for handling dynamic response and uncertainties of power systems based on the promising results from past research on model predictive control (MPC). A computing methodology is used in order to evaluate the effectiveness of the proposed controller, the proposed DMPC scheme is tested with a four-area hydro-thermal generating system and compared with a conventional MPC. The resulting simulation shows the effectiveness of the DMPC controller.