{"title":"基于动态规划和最优规模的住宅系统光伏板储能管理策略","authors":"F. Hafiz, D. Lubkeman, I. Husain, P. Fajri","doi":"10.1109/TDC.2018.8440251","DOIUrl":null,"url":null,"abstract":"In this paper, control of solar energy storage in a residential household is presented using Dynamic Programming (DP) algorithm with the objective of minimizing the overall cost of daily household load demand. The DP algorithm is designed to optimally manage the charge/discharge cycles of the household energy storage unit and maximize homeowner benefit. Moreover, the Net Present Value (NPV) is calculated and used for optimal PV panel and energy storage capacity sizing while taking into account the household load demand for different seasons and the Time-of-Use (ToU) electricity price. The DP based control strategy has also been compared with a heuristic control strategy which shows the superior performance of the former.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"69 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Energy Storage Management Strategy Based on Dynamic Programming and Optimal Sizing of PV Panel-Storage Capacity for a Residential System\",\"authors\":\"F. Hafiz, D. Lubkeman, I. Husain, P. Fajri\",\"doi\":\"10.1109/TDC.2018.8440251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, control of solar energy storage in a residential household is presented using Dynamic Programming (DP) algorithm with the objective of minimizing the overall cost of daily household load demand. The DP algorithm is designed to optimally manage the charge/discharge cycles of the household energy storage unit and maximize homeowner benefit. Moreover, the Net Present Value (NPV) is calculated and used for optimal PV panel and energy storage capacity sizing while taking into account the household load demand for different seasons and the Time-of-Use (ToU) electricity price. The DP based control strategy has also been compared with a heuristic control strategy which shows the superior performance of the former.\",\"PeriodicalId\":6568,\"journal\":{\"name\":\"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)\",\"volume\":\"69 1\",\"pages\":\"1-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"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.2018.8440251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.2018.8440251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Storage Management Strategy Based on Dynamic Programming and Optimal Sizing of PV Panel-Storage Capacity for a Residential System
In this paper, control of solar energy storage in a residential household is presented using Dynamic Programming (DP) algorithm with the objective of minimizing the overall cost of daily household load demand. The DP algorithm is designed to optimally manage the charge/discharge cycles of the household energy storage unit and maximize homeowner benefit. Moreover, the Net Present Value (NPV) is calculated and used for optimal PV panel and energy storage capacity sizing while taking into account the household load demand for different seasons and the Time-of-Use (ToU) electricity price. The DP based control strategy has also been compared with a heuristic control strategy which shows the superior performance of the former.
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