{"title":"Sizing photovoltaic-wind smart microgrid with battery storage and grid connection","authors":"T. Patarau, D. Petreus, R. Etz, D. Moga","doi":"10.1109/AQTR.2014.6857912","DOIUrl":null,"url":null,"abstract":"This paper presents a method used for sizing a hybrid photovoltaic-wind microgrid with battery storage and grid connection with given meteorological data and consumer load characteristic. An application is developed to determine the optimal number of solar panels and batteries. For this purpose loss of power supply probability, LPSP, and levalized cost of energy, LCE, is used. The lowest LCE will be the indicative for the number of solar panels and for the number of batteries. The analysis demonstrates that the cost of energy paid for a kWh decrease with the increasing number of households involved.","PeriodicalId":145620,"journal":{"name":"International Conference on Automation, Quality and Testing, Robotics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Automation, Quality and Testing, Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AQTR.2014.6857912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper presents a method used for sizing a hybrid photovoltaic-wind microgrid with battery storage and grid connection with given meteorological data and consumer load characteristic. An application is developed to determine the optimal number of solar panels and batteries. For this purpose loss of power supply probability, LPSP, and levalized cost of energy, LCE, is used. The lowest LCE will be the indicative for the number of solar panels and for the number of batteries. The analysis demonstrates that the cost of energy paid for a kWh decrease with the increasing number of households involved.