{"title":"Optimal battery sizing for energy scheduling in hybrid power system using heuristic technique","authors":"N. Paliwal, Ashutosh Kumar Singh, N. Singh","doi":"10.1109/R10-HTC.2016.7906836","DOIUrl":null,"url":null,"abstract":"In present scenario, electricity demand rise drastically and conversely fossil fuel resources are depleting from nature, continuously. Consequently, dependence on natural energy resources, such as solar, wind is increased. These are connected to the main grid to meet the increased electricity demand and the power system is transformed in to a hybrid power system (HPS). Battery storage (BS) is also required along with these energy sources, due to their uncertain behavior. In this paper, wind energy (WE) along with BS and small hydro plant (HP) is connected to main grid to feed a constant electrical load for study period of one day with one hour dispatch interval. An optimal capacity of BS is determined to maximize the revenue of the system, for two different moderate wind speed scenarios using artificial bee colony algorithm (ABC). Results obtained from ABC algorithm are verified through deterministic fmincon interior point (IP) method. MATLAB® platform is used to simulate the problem.","PeriodicalId":174678,"journal":{"name":"2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/R10-HTC.2016.7906836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In present scenario, electricity demand rise drastically and conversely fossil fuel resources are depleting from nature, continuously. Consequently, dependence on natural energy resources, such as solar, wind is increased. These are connected to the main grid to meet the increased electricity demand and the power system is transformed in to a hybrid power system (HPS). Battery storage (BS) is also required along with these energy sources, due to their uncertain behavior. In this paper, wind energy (WE) along with BS and small hydro plant (HP) is connected to main grid to feed a constant electrical load for study period of one day with one hour dispatch interval. An optimal capacity of BS is determined to maximize the revenue of the system, for two different moderate wind speed scenarios using artificial bee colony algorithm (ABC). Results obtained from ABC algorithm are verified through deterministic fmincon interior point (IP) method. MATLAB® platform is used to simulate the problem.