{"title":"基于激励的住宅需求响应的异质性弹性价值评估","authors":"Bahareh Kargar;Elson Cibaku;Sangwoo Park","doi":"10.1109/ACCESS.2025.3591723","DOIUrl":null,"url":null,"abstract":"Incentive-based demand response (IBDR) programs play a crucial role in enhancing grid stability and reducing peak loads in modern power systems. However, existing IBDR programs often rely on aggregate demand models, overlooking the impact of heterogeneous consumer behaviors and appliance-specific demand elasticities. This study assesses the value of incorporating heterogeneous elasticity values in IBDR programs by developing three optimization models with increasing levels of granularity: 1) an aggregate elasticity model, 2) an appliance-specific elasticity model, and 3) a customer and appliance-specific elasticity model. Furthermore, this study incorporates transmission line losses into the models, providing a realistic assessment of distribution system efficiency. Comparative analysis using realistic residential electricity consumption data reveals that integrating appliance-specific elasticity significantly improves economic efficiency, while adding customer-specific granularity yields marginal additional benefits. Comparative analysis using realistic residential electricity consumption data reveals that integrating appliance-specific elasticity improves economic efficiency by 6.29%, while customer-specific granularity yields only a marginal additional benefit of 0.92%. These findings offer valuable insights for load-serving entities (LSEs) and policymakers in designing more efficient IBDR programs.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"129900-129910"},"PeriodicalIF":3.6000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11088113","citationCount":"0","resultStr":"{\"title\":\"Assessing the Value of Heterogeneous Elasticities for Incentive-Based Residential Demand Response\",\"authors\":\"Bahareh Kargar;Elson Cibaku;Sangwoo Park\",\"doi\":\"10.1109/ACCESS.2025.3591723\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Incentive-based demand response (IBDR) programs play a crucial role in enhancing grid stability and reducing peak loads in modern power systems. However, existing IBDR programs often rely on aggregate demand models, overlooking the impact of heterogeneous consumer behaviors and appliance-specific demand elasticities. This study assesses the value of incorporating heterogeneous elasticity values in IBDR programs by developing three optimization models with increasing levels of granularity: 1) an aggregate elasticity model, 2) an appliance-specific elasticity model, and 3) a customer and appliance-specific elasticity model. Furthermore, this study incorporates transmission line losses into the models, providing a realistic assessment of distribution system efficiency. Comparative analysis using realistic residential electricity consumption data reveals that integrating appliance-specific elasticity significantly improves economic efficiency, while adding customer-specific granularity yields marginal additional benefits. Comparative analysis using realistic residential electricity consumption data reveals that integrating appliance-specific elasticity improves economic efficiency by 6.29%, while customer-specific granularity yields only a marginal additional benefit of 0.92%. These findings offer valuable insights for load-serving entities (LSEs) and policymakers in designing more efficient IBDR programs.\",\"PeriodicalId\":13079,\"journal\":{\"name\":\"IEEE Access\",\"volume\":\"13 \",\"pages\":\"129900-129910\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11088113\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Access\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11088113/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11088113/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Assessing the Value of Heterogeneous Elasticities for Incentive-Based Residential Demand Response
Incentive-based demand response (IBDR) programs play a crucial role in enhancing grid stability and reducing peak loads in modern power systems. However, existing IBDR programs often rely on aggregate demand models, overlooking the impact of heterogeneous consumer behaviors and appliance-specific demand elasticities. This study assesses the value of incorporating heterogeneous elasticity values in IBDR programs by developing three optimization models with increasing levels of granularity: 1) an aggregate elasticity model, 2) an appliance-specific elasticity model, and 3) a customer and appliance-specific elasticity model. Furthermore, this study incorporates transmission line losses into the models, providing a realistic assessment of distribution system efficiency. Comparative analysis using realistic residential electricity consumption data reveals that integrating appliance-specific elasticity significantly improves economic efficiency, while adding customer-specific granularity yields marginal additional benefits. Comparative analysis using realistic residential electricity consumption data reveals that integrating appliance-specific elasticity improves economic efficiency by 6.29%, while customer-specific granularity yields only a marginal additional benefit of 0.92%. These findings offer valuable insights for load-serving entities (LSEs) and policymakers in designing more efficient IBDR programs.
IEEE AccessCOMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍:
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest.
IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on:
Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals.
Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering.
Development of new or improved fabrication or manufacturing techniques.
Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.