{"title":"Economic dispatch of island power systems with distributed energy resources","authors":"C. Su, Hsiang-Ming Chuang","doi":"10.1109/ENERGYCON.2014.6850529","DOIUrl":null,"url":null,"abstract":"This paper aims presenting a methodology for economic dispatch (ED) of island grids with distributed energy resources (DERs). The method utilizes an algorithm dedicated to battery storage systems (BSSs) placement optimization in a given power system using genetic algorithms (GA), where daily time varying loads, wind power generations, and diesel power generator operation scheduling are considered together with BSSs characteristics, including capacity, installation location, and charging/discharging. The problem is formulated as a non-differential combinational optimization problem to solve the ED of the BSSs and power units, where the total system cost to be minimized is subject to capacity and system operation constraints. A practical island power system is selected for computer simulations to ensure and demonstrate the performance of proposed method and explore the benefits of BSSs to system operations.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Energy Conference (ENERGYCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYCON.2014.6850529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper aims presenting a methodology for economic dispatch (ED) of island grids with distributed energy resources (DERs). The method utilizes an algorithm dedicated to battery storage systems (BSSs) placement optimization in a given power system using genetic algorithms (GA), where daily time varying loads, wind power generations, and diesel power generator operation scheduling are considered together with BSSs characteristics, including capacity, installation location, and charging/discharging. The problem is formulated as a non-differential combinational optimization problem to solve the ED of the BSSs and power units, where the total system cost to be minimized is subject to capacity and system operation constraints. A practical island power system is selected for computer simulations to ensure and demonstrate the performance of proposed method and explore the benefits of BSSs to system operations.