N. Gupta, Griffin D. Francis, Juan Ospina, Alvi Newaz, E. Collins, O. Faruque, R. Meeker, Mario Harper
{"title":"Cost Optimal Control of Microgrids Having Solar Power and Energy Storage","authors":"N. Gupta, Griffin D. Francis, Juan Ospina, Alvi Newaz, E. Collins, O. Faruque, R. Meeker, Mario Harper","doi":"10.1109/TDC.2018.8440304","DOIUrl":null,"url":null,"abstract":"Solar power availability is intermittent and must be accompanied by an energy storage system (ESS) so that the effect of variability can be minimized. Hence, a strategy is needed to find the optimum combination of grid power, solar power, and power from the ESS so that the total cost of energy can be minimized. A solution to this problem is proposed here as Advanced Optimal Resource Allocation (AORA). This control scheme uses the prediction of Photovoltaic (PV) power availability, the real-time price of energy, and the levelized cost of energy for both PV and ESS to optimally combine the dispatch of power sources. Simulation results are presented for a 24 h prediction window and compared with a baseline power usage scheme that is based on a fixed charging and discharging schedule for the ESS. The comparison shows that AORA results in a substantial cost savings over the baseline scheme.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"19 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2018.8440304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Solar power availability is intermittent and must be accompanied by an energy storage system (ESS) so that the effect of variability can be minimized. Hence, a strategy is needed to find the optimum combination of grid power, solar power, and power from the ESS so that the total cost of energy can be minimized. A solution to this problem is proposed here as Advanced Optimal Resource Allocation (AORA). This control scheme uses the prediction of Photovoltaic (PV) power availability, the real-time price of energy, and the levelized cost of energy for both PV and ESS to optimally combine the dispatch of power sources. Simulation results are presented for a 24 h prediction window and compared with a baseline power usage scheme that is based on a fixed charging and discharging schedule for the ESS. The comparison shows that AORA results in a substantial cost savings over the baseline scheme.
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