M. Lopez-Ramirez, L. Ledesma-Carrillo, Ana L. Martinez-Herrera, E. Cabal-Yépez, H. Miranda-Vidales
{"title":"FPGA-based reconfigurable unit for real-time power quality index estimation","authors":"M. Lopez-Ramirez, L. Ledesma-Carrillo, Ana L. Martinez-Herrera, E. Cabal-Yépez, H. Miranda-Vidales","doi":"10.1109/ReConFig.2014.7032521","DOIUrl":null,"url":null,"abstract":"Power quality monitoring is an important subject for investigation and research. In this work a generic FPGA-based portable architecture for real-time power quality index (PQI) estimation is proposed. Different from off-the-shelf specialized equipment, the proposed hardware implementation offers higher exactitude for PQI estimation and representation of voltage and current signals. Unlike previous approaches, the proposed FPGA-based PQI computation unit estimates up to fourteen PQI, it is highly portable to different platforms, and it can be implemented on a single chip.","PeriodicalId":137331,"journal":{"name":"2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14)","volume":"76 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig14)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2014.7032521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Power quality monitoring is an important subject for investigation and research. In this work a generic FPGA-based portable architecture for real-time power quality index (PQI) estimation is proposed. Different from off-the-shelf specialized equipment, the proposed hardware implementation offers higher exactitude for PQI estimation and representation of voltage and current signals. Unlike previous approaches, the proposed FPGA-based PQI computation unit estimates up to fourteen PQI, it is highly portable to different platforms, and it can be implemented on a single chip.