{"title":"Economic Feasibility Analysis of User-Side Battery Energy Storage Based on Three Electricity Price Policies","authors":"Ning Wu, Jing Xiao, Yubin Feng, Haibo Bao, Rui Lin, Weidong Chen","doi":"10.1109/iSPEC50848.2020.9351149","DOIUrl":null,"url":null,"abstract":"With the continuous development of energy Internet, the demand for distributed energy storage is increasing day by day. The high cost and unclear benefits of energy storage system are the main reasons affecting its large-scale application. Firstly, a general energy storage cost model is established to calculate and analyze the energy storage costs of three types of batteries. Then, the user side energy storage benefit sources are analyzed. Starting from the three modes of peak-valley arbitrage, maximum demand management and reactive power regulation service corresponding to time-of-use price, two-part price and reactive power price adjustment electricity charge, an optimization model of energy storage system operation considering optimized load characteristics is proposed. Taking the revenue maximization within the monthly scheduling cycle of the energy storage system as the objective function, the optimization of charging and discharging in each period of user side energy storage system is studied. Combined with the engineering practice, the hybrid integer linear programming was used to solve the optimization model, and the calculation example was used to test and compare the energy storage cost under different batteries and the net user side income before and after the installation of energy storage. Meanwhile, the influence of energy storage cost and various electricity price policies on the economic benefit of energy storage on the user side were analyzed.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSPEC50848.2020.9351149","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
With the continuous development of energy Internet, the demand for distributed energy storage is increasing day by day. The high cost and unclear benefits of energy storage system are the main reasons affecting its large-scale application. Firstly, a general energy storage cost model is established to calculate and analyze the energy storage costs of three types of batteries. Then, the user side energy storage benefit sources are analyzed. Starting from the three modes of peak-valley arbitrage, maximum demand management and reactive power regulation service corresponding to time-of-use price, two-part price and reactive power price adjustment electricity charge, an optimization model of energy storage system operation considering optimized load characteristics is proposed. Taking the revenue maximization within the monthly scheduling cycle of the energy storage system as the objective function, the optimization of charging and discharging in each period of user side energy storage system is studied. Combined with the engineering practice, the hybrid integer linear programming was used to solve the optimization model, and the calculation example was used to test and compare the energy storage cost under different batteries and the net user side income before and after the installation of energy storage. Meanwhile, the influence of energy storage cost and various electricity price policies on the economic benefit of energy storage on the user side were analyzed.