{"title":"Decentralized MPC-Based Frequency Control of Networked Microgrids","authors":"Kun Liu, Tao Liu, D. Hill","doi":"10.1109/ISGT-Asia.2019.8881316","DOIUrl":null,"url":null,"abstract":"This paper proposes a decentralized model predictive control (MPC)-based controller to regulate the frequency of off-grid networked microgrid systems with voltage-sensitive loads. By actively utilizing the load voltage sensitivity, the proposed controller regulates the system frequency through operating voltages. Meanwhile, the MFC technique enables the controller to produce adaptive frequency control signals with voltage constraints considered based on the changing system conditions. The proposed controller provides fast frequency control without introducing batteries or causing customer dissatisfaction. Furthermore, as no communication is needed among microgrids, the communication and computation burden is greatly relieved. Simulation results on a modified IEEE benchmark system demonstrate the effectiveness of the proposed controller.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-Asia.2019.8881316","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
This paper proposes a decentralized model predictive control (MPC)-based controller to regulate the frequency of off-grid networked microgrid systems with voltage-sensitive loads. By actively utilizing the load voltage sensitivity, the proposed controller regulates the system frequency through operating voltages. Meanwhile, the MFC technique enables the controller to produce adaptive frequency control signals with voltage constraints considered based on the changing system conditions. The proposed controller provides fast frequency control without introducing batteries or causing customer dissatisfaction. Furthermore, as no communication is needed among microgrids, the communication and computation burden is greatly relieved. Simulation results on a modified IEEE benchmark system demonstrate the effectiveness of the proposed controller.