{"title":"Power Quality Enhancement of Grid-Connected Solar Photovoltaic System using ANN based Filter","authors":"P. Prasad","doi":"10.46501/10.46501/IJMTST0703015","DOIUrl":null,"url":null,"abstract":"Grid-connected photovoltaic (PV) systems are increasingly attracting the attention of industry and\nacademia as a means of providing an alternative to conventional fossil-fuel generation and pollution-free\npower. This project aims to improve the power quality level of a grid-tied PV distribution system using shunt\nactive power filter (APF) along with adaptive current control technique.\nIn this work Artificial Neural Network controller used to destroy the voltage and current harmonics in a\ngrid-tied PV system. A reference current generation strategy is implemented to mitigate the current harmonics\nby extracting the fundamental constituents (FCs) from the nonlinear load currents. MCCF is employed to\nseparate the FC from the distorted grid voltages and eliminates the voltage harmonics during extremely\npolluted grid voltage condition. The comparative analysis is analyzed to check the effectiveness of the\nproposed hybrid control scheme with existing and adaptive control techniques in respect of power quality,\nbetter dc offset rejection, better FC and frequency extraction, and grid synchronization.","PeriodicalId":13741,"journal":{"name":"International Journal for Modern Trends in Science and Technology","volume":"102 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Modern Trends in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46501/10.46501/IJMTST0703015","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
Grid-connected photovoltaic (PV) systems are increasingly attracting the attention of industry and
academia as a means of providing an alternative to conventional fossil-fuel generation and pollution-free
power. This project aims to improve the power quality level of a grid-tied PV distribution system using shunt
active power filter (APF) along with adaptive current control technique.
In this work Artificial Neural Network controller used to destroy the voltage and current harmonics in a
grid-tied PV system. A reference current generation strategy is implemented to mitigate the current harmonics
by extracting the fundamental constituents (FCs) from the nonlinear load currents. MCCF is employed to
separate the FC from the distorted grid voltages and eliminates the voltage harmonics during extremely
polluted grid voltage condition. The comparative analysis is analyzed to check the effectiveness of the
proposed hybrid control scheme with existing and adaptive control techniques in respect of power quality,
better dc offset rejection, better FC and frequency extraction, and grid synchronization.