{"title":"Sugeno — PI fuzzy controller for battery bidirectional charging in the electric vehicle to support voltage stability in V2G distribution grids","authors":"S. S. A. Kubragyi, P. Luk, J. Economou","doi":"10.1109/PESA.2017.8277739","DOIUrl":null,"url":null,"abstract":"A new Sugeno — PI fuzzy controller exploiting the battery storage capability of the electric vehicle (EV) to improve voltage stability of a vehicle-to-grid (V2G) distribution grid is proposed. The approach employs the d-q control theory to obtain in real-time the active and reactive currents from the EV's battery during different operating conditions. To overcome the sub-optimal operation of existing methods which are based on optimization of a single operating point during steady state, the proposed method adjusts the proportional and integral coefficients of the based on the Sugeno — PI fuzzy controller during critical transients such as a load disturbance. Comprehensive simulation results show that the proposed fuzzy PI controller demonstrates significant improvements over conventional PI controllers in supporting voltage stability in V2G distribution networks.","PeriodicalId":223569,"journal":{"name":"2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESA.2017.8277739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A new Sugeno — PI fuzzy controller exploiting the battery storage capability of the electric vehicle (EV) to improve voltage stability of a vehicle-to-grid (V2G) distribution grid is proposed. The approach employs the d-q control theory to obtain in real-time the active and reactive currents from the EV's battery during different operating conditions. To overcome the sub-optimal operation of existing methods which are based on optimization of a single operating point during steady state, the proposed method adjusts the proportional and integral coefficients of the based on the Sugeno — PI fuzzy controller during critical transients such as a load disturbance. Comprehensive simulation results show that the proposed fuzzy PI controller demonstrates significant improvements over conventional PI controllers in supporting voltage stability in V2G distribution networks.