{"title":"Optimal unit sizing of PV/wind/battery/sector generating system","authors":"Zahira El Hariz, H. Aissaoui, M. Diany","doi":"10.1109/ICOA.2018.8370522","DOIUrl":null,"url":null,"abstract":"Hybrid power system interconnecting photovoltaic, wind-power and battery is becoming more and more popular in our society; it presents a solution of the energy problems. This article presents two combined optimization techniques; the first optimization introduces a proposed sizing optimization for a hybrid system under smart grid by dividing the loads into three categories: high priority load (must be always supplied), others with a medium priority, and low priority load (can be supplied when the production is available at some levels). The second technique optimizes the cost of the hybrid system by connecting a minimum number of panels necessary to cover the energy need of the high priority load; on the other side, it connects the number of batteries required so as not to have a lack of energies during the night, and this in function of sunset time of each season.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA.2018.8370522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Hybrid power system interconnecting photovoltaic, wind-power and battery is becoming more and more popular in our society; it presents a solution of the energy problems. This article presents two combined optimization techniques; the first optimization introduces a proposed sizing optimization for a hybrid system under smart grid by dividing the loads into three categories: high priority load (must be always supplied), others with a medium priority, and low priority load (can be supplied when the production is available at some levels). The second technique optimizes the cost of the hybrid system by connecting a minimum number of panels necessary to cover the energy need of the high priority load; on the other side, it connects the number of batteries required so as not to have a lack of energies during the night, and this in function of sunset time of each season.