{"title":"降低用电需求和提高光伏利用率的储能控制方法","authors":"M. Narimani, B. Asghari, Ratnesh K. Sharma","doi":"10.1109/APPEEC.2017.8308929","DOIUrl":null,"url":null,"abstract":"This paper proposes optimal strategies for control of distributed Energy Storage Systems (ESSs) to minimize Demand Charge (DC) cost and maximize local Photovoltaic (PV) utilization for Commercial & Industrial Buildings. Reducing DC cost has a direct impact on customer's electricity bill while increasing local PV utilization can help the efficient operation of distribution systems. Model-based optimization methods are presented for each individual objective. Furthermore, a multi-objective control strategy has been implemented and studied to show the possibility of stacking both services on a single ESS. Simulation studies are carried out to show optimal operation of a sample ESS unit in each scenario.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Energy storage control methods for demand charge reduction and PV utilization improvement\",\"authors\":\"M. Narimani, B. Asghari, Ratnesh K. Sharma\",\"doi\":\"10.1109/APPEEC.2017.8308929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes optimal strategies for control of distributed Energy Storage Systems (ESSs) to minimize Demand Charge (DC) cost and maximize local Photovoltaic (PV) utilization for Commercial & Industrial Buildings. Reducing DC cost has a direct impact on customer's electricity bill while increasing local PV utilization can help the efficient operation of distribution systems. Model-based optimization methods are presented for each individual objective. Furthermore, a multi-objective control strategy has been implemented and studied to show the possibility of stacking both services on a single ESS. Simulation studies are carried out to show optimal operation of a sample ESS unit in each scenario.\",\"PeriodicalId\":247669,\"journal\":{\"name\":\"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APPEEC.2017.8308929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2017.8308929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy storage control methods for demand charge reduction and PV utilization improvement
This paper proposes optimal strategies for control of distributed Energy Storage Systems (ESSs) to minimize Demand Charge (DC) cost and maximize local Photovoltaic (PV) utilization for Commercial & Industrial Buildings. Reducing DC cost has a direct impact on customer's electricity bill while increasing local PV utilization can help the efficient operation of distribution systems. Model-based optimization methods are presented for each individual objective. Furthermore, a multi-objective control strategy has been implemented and studied to show the possibility of stacking both services on a single ESS. Simulation studies are carried out to show optimal operation of a sample ESS unit in each scenario.
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