{"title":"An Experimental Study on Energy Management of Grid-Connected Hybrid PV-Battery-Fuel Cell System","authors":"Akshaya K. Pati, N. Sahoo","doi":"10.1109/CALCON49167.2020.9106485","DOIUrl":null,"url":null,"abstract":"In this paper, a real-time implementation of energy management algorithm for a grid-connected hybrid system such as PV-battery-fuel cell system is presented. Along with the energy management algorithm a suitable load side management algorithm is also implemented for optimal use of the available power sources. The objective of this study is to minimal dependency on the grid power. Both the load management algorithm and energy management algorithm are developed in the LabVIEW. The voltage current signals of all power sources are connected to the Single Board Reconfigurable Input/output (SBRIO) 9606 with General Purpose Inverter Control (GPIC) 96893 card. A complete experimental setup with the power source and the converter are developed in the laboratory. The real-time results are captured in Graphical User Interface (GUI) of LabVIEW software.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Calcutta Conference (CALCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CALCON49167.2020.9106485","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
In this paper, a real-time implementation of energy management algorithm for a grid-connected hybrid system such as PV-battery-fuel cell system is presented. Along with the energy management algorithm a suitable load side management algorithm is also implemented for optimal use of the available power sources. The objective of this study is to minimal dependency on the grid power. Both the load management algorithm and energy management algorithm are developed in the LabVIEW. The voltage current signals of all power sources are connected to the Single Board Reconfigurable Input/output (SBRIO) 9606 with General Purpose Inverter Control (GPIC) 96893 card. A complete experimental setup with the power source and the converter are developed in the laboratory. The real-time results are captured in Graphical User Interface (GUI) of LabVIEW software.