T. Muthamizhan, M. Janarthanan, P. Nalin, M. Nirmal
{"title":"ANN-Based Energy Storage System for an EV Charging Station Using Quadratic Boost Converter","authors":"T. Muthamizhan, M. Janarthanan, P. Nalin, M. Nirmal","doi":"10.1109/INCET57972.2023.10170219","DOIUrl":null,"url":null,"abstract":"A solar PV, wind energy and battery energy storage system (BESS), connected to a dc bus by a quadratic boost converter (QBC), controlled by a closed loop PI and ANN Control is instigated in this work. The QBC for renewable energy sources (RES), energy storage elements and a DC Micro-Grid with resistive and dc motor loads with different control topologies are analysed. When compared to a PI controller, ANN confirms the power balance and grid stability even in worst environmental conditions and load variation, with respect to time. Open loop DC micro-grid system (DC-MGs) framework with disturbance, closed loop PI control and ANN based Data Management frameworks are formed and pretended using MATLAB/Simulink simulation software. Assessment of the time-domain parameters exhibit the accomplishment of DC-MGs framework control. The proposed framework has characteristics like minimal error towards the disturbance and have a quick response for the proposed system.","PeriodicalId":403008,"journal":{"name":"2023 4th International Conference for Emerging Technology (INCET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference for Emerging Technology (INCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCET57972.2023.10170219","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
A solar PV, wind energy and battery energy storage system (BESS), connected to a dc bus by a quadratic boost converter (QBC), controlled by a closed loop PI and ANN Control is instigated in this work. The QBC for renewable energy sources (RES), energy storage elements and a DC Micro-Grid with resistive and dc motor loads with different control topologies are analysed. When compared to a PI controller, ANN confirms the power balance and grid stability even in worst environmental conditions and load variation, with respect to time. Open loop DC micro-grid system (DC-MGs) framework with disturbance, closed loop PI control and ANN based Data Management frameworks are formed and pretended using MATLAB/Simulink simulation software. Assessment of the time-domain parameters exhibit the accomplishment of DC-MGs framework control. The proposed framework has characteristics like minimal error towards the disturbance and have a quick response for the proposed system.