{"title":"定价方案下非公用设施电池储能的最优调度","authors":"S. Nuchprayoon","doi":"10.1109/PTC.2015.7232608","DOIUrl":null,"url":null,"abstract":"Modeling of non-utility facility with generation and battery storage is presented. The operation strategy for non-utility facility is determined by solving a daily generation scheduling problem under a price-taking scheme. Numerical simulations are performed under various scenarios. It is shown that the optimal strategy is complex when either fuel supply is limited or electric utility allows buy-back option for non-utility facility. The impacts of price and load variations on the complexity of solutions are investigated. The sizing of battery storage device is also examined.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimum scheduling of non-utility facility with battery storage under a price-taking scheme\",\"authors\":\"S. Nuchprayoon\",\"doi\":\"10.1109/PTC.2015.7232608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modeling of non-utility facility with generation and battery storage is presented. The operation strategy for non-utility facility is determined by solving a daily generation scheduling problem under a price-taking scheme. Numerical simulations are performed under various scenarios. It is shown that the optimal strategy is complex when either fuel supply is limited or electric utility allows buy-back option for non-utility facility. The impacts of price and load variations on the complexity of solutions are investigated. The sizing of battery storage device is also examined.\",\"PeriodicalId\":193448,\"journal\":{\"name\":\"2015 IEEE Eindhoven PowerTech\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Eindhoven PowerTech\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PTC.2015.7232608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Eindhoven PowerTech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PTC.2015.7232608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum scheduling of non-utility facility with battery storage under a price-taking scheme
Modeling of non-utility facility with generation and battery storage is presented. The operation strategy for non-utility facility is determined by solving a daily generation scheduling problem under a price-taking scheme. Numerical simulations are performed under various scenarios. It is shown that the optimal strategy is complex when either fuel supply is limited or electric utility allows buy-back option for non-utility facility. The impacts of price and load variations on the complexity of solutions are investigated. The sizing of battery storage device is also examined.
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