Alcides Amado Herrera-Guerra, E. Henao-Bravo, J. Villegas-Ceballos
{"title":"Digital twin of electrical motorcycle battery charger as AC Load in a Microgrid Based on Renewable Energy","authors":"Alcides Amado Herrera-Guerra, E. Henao-Bravo, J. Villegas-Ceballos","doi":"10.1109/LAEDC58183.2023.10208283","DOIUrl":null,"url":null,"abstract":"Advances in power electronics and improved battery autonomy have made electric vehicles (EVs) an increasingly feasible solution for mitigating greenhouse gases (GHG) levels. Due to increased energy demand, its massive arrival can impact traditional distribution and generation systems. Due to their characteristics, microgrids (MGs) are postulated as a critical element in solving this problem. To estimate the impact of electric vehicles connected to the microgrid of the “Electronics and Renewable Energy Laboratory” of the Metropolitan Technological Institute (ITM) and emulate different scenarios, this work presents the digital twin of an EV charger developed based on the modeling of the system and the control design. PSIM software allows the validation of the digital twin operation. Actual parameters of an EV battery charger allow for generating a database intended to propose different test scenarios that validate the operation of the MG.","PeriodicalId":151042,"journal":{"name":"2023 IEEE Latin American Electron Devices Conference (LAEDC)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Latin American Electron Devices Conference (LAEDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LAEDC58183.2023.10208283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Advances in power electronics and improved battery autonomy have made electric vehicles (EVs) an increasingly feasible solution for mitigating greenhouse gases (GHG) levels. Due to increased energy demand, its massive arrival can impact traditional distribution and generation systems. Due to their characteristics, microgrids (MGs) are postulated as a critical element in solving this problem. To estimate the impact of electric vehicles connected to the microgrid of the “Electronics and Renewable Energy Laboratory” of the Metropolitan Technological Institute (ITM) and emulate different scenarios, this work presents the digital twin of an EV charger developed based on the modeling of the system and the control design. PSIM software allows the validation of the digital twin operation. Actual parameters of an EV battery charger allow for generating a database intended to propose different test scenarios that validate the operation of the MG.