{"title":"Priority-based Residential Demand Side Management in Smart Grid Using ToU Pricing","authors":"G. Muthuselvi, B. Saravanan","doi":"10.1109/i-PACT52855.2021.9696867","DOIUrl":null,"url":null,"abstract":"This paper proposes curbing peak demand during peak periods using consumer's priority-based load shifting. The response behaviour of each participant in DR is the vital factor of a successful solution to Demand-side management (DSM) problems in the power system. It provides consumption cost savings and smart utilization of electricity. Shifting techniques are the solution that improves the participation factor of the consumer in the DR program and is achieved by making bi-level communication between utility and Consumer. ToU (Time of Use) dynamic pricing schemes are considered for the analysis. Adaptive Differential Evolution Algorithm (ADEA) is used for the optimal scheduling of shiftable appliances efficiently.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT52855.2021.9696867","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
This paper proposes curbing peak demand during peak periods using consumer's priority-based load shifting. The response behaviour of each participant in DR is the vital factor of a successful solution to Demand-side management (DSM) problems in the power system. It provides consumption cost savings and smart utilization of electricity. Shifting techniques are the solution that improves the participation factor of the consumer in the DR program and is achieved by making bi-level communication between utility and Consumer. ToU (Time of Use) dynamic pricing schemes are considered for the analysis. Adaptive Differential Evolution Algorithm (ADEA) is used for the optimal scheduling of shiftable appliances efficiently.