{"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}
引用次数: 21
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.
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