{"title":"Optimal Energy Management of Residential Solar PV with Battery Storage: Effects of Fast Load and Generation Transients","authors":"Harald Kirchsteiger, Gerald Steinmaurer","doi":"10.1109/CoDIT49905.2020.9263853","DOIUrl":null,"url":null,"abstract":"An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dynamic programming controller is developed to minimize the electricity costs. It is shown in simulation, using real world measurement data, that considerable savings can be achieved with the optimal controller. However, we also show the limitations of such discrete time approaches in realistic scenarios when load and generation changes in-between the samples where the controller is active. This can lead to a performance deterioration making the optimal controller worse than a standard approach.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoDIT49905.2020.9263853","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
An energy management algorithm to optimally control a rooftop solar photovoltaic device in combination with a battery storage and considering variable pricing is analyzed for single family houses. A discrete time dynamic programming controller is developed to minimize the electricity costs. It is shown in simulation, using real world measurement data, that considerable savings can be achieved with the optimal controller. However, we also show the limitations of such discrete time approaches in realistic scenarios when load and generation changes in-between the samples where the controller is active. This can lead to a performance deterioration making the optimal controller worse than a standard approach.