{"title":"Co-optimizing Behind-The-Meter Resources under Net Metering","authors":"A. Alahmed, Lang Tong","doi":"10.1109/TPEC56611.2023.10078677","DOIUrl":null,"url":null,"abstract":"We study the problem of co-optimizing behind-the-meter (BTM) storage and flexible demands with BTM stochastic renewable generation. Under a generalized net energy metering (NEM) policy—NEM X, we show that the optimal co-optimization policy schedules the flexible demands based on a priority list that defers less important loads to times when the BTM generation is abundant. This gives rise to the notion of a net-zero zone, which we quantity under different distributed energy resources (DER) compositions. We highlight the special case of inflexible demands that results in a storage policy that minimizes the imports and exports from and to the grid. Comparative statics are provided on the optimal co-optimization policy. Simulations using real residential data show the surplus gains of various customers under different DER compositions.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Texas Power and Energy Conference (TPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TPEC56611.2023.10078677","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
We study the problem of co-optimizing behind-the-meter (BTM) storage and flexible demands with BTM stochastic renewable generation. Under a generalized net energy metering (NEM) policy—NEM X, we show that the optimal co-optimization policy schedules the flexible demands based on a priority list that defers less important loads to times when the BTM generation is abundant. This gives rise to the notion of a net-zero zone, which we quantity under different distributed energy resources (DER) compositions. We highlight the special case of inflexible demands that results in a storage policy that minimizes the imports and exports from and to the grid. Comparative statics are provided on the optimal co-optimization policy. Simulations using real residential data show the surplus gains of various customers under different DER compositions.
研究了与BTM随机可再生能源发电共同优化的BTM储能和柔性需求问题。在广义净能源计量(NEM)政策- NEM X下,我们证明了最优的协同优化策略是基于优先级列表来调度灵活的需求,该优先级列表将不太重要的负荷推迟到BTM发电充足的时候。这就产生了净零区的概念,我们在不同的分布式能源(DER)组成下对其进行量化。我们强调了不灵活需求的特殊情况,这种情况会导致存储策略最小化从网格导入和导出到网格的操作。给出了最优协同优化策略的比较静力分析。利用实际住宅数据进行的仿真显示了不同用户在不同的DER组成下的剩余增益。