{"title":"Demand Side Management Solutions Study in Singapore Market","authors":"X. Bai, Geraldine Thoung, Patricia Alvina","doi":"10.1109/ACEPT.2018.8610710","DOIUrl":null,"url":null,"abstract":"Smart grid technology development progression has created a chance for the end users participation in the energy market. Singapore government has carried out the demand response programme for wholesale market since April of 2016. The Demand Side Management (DSM) in this paper looks into critical factors that will help users to reduce the energy bill with these solutions such as time-of-use (ToU) price, real-time price (RTP) and direct participation in the Demand Responses(DR) programme. This study reviews benefits for both market and users. These solutions would allow the users to become an active participant in the energy market. It also allows the government to plan better on the limited and costly energy resources, improve system reliability, and reduce transmission and distribution congestion, check and balance on the market power generation. Algorithms, such as linear programming, non-linear programming and machine learning are used in this paper to provide a numerical analysis for different DSM strategies. The research will make Singapore energy market more resilient and reducing energy consumption by introducing competition.","PeriodicalId":296432,"journal":{"name":"2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACEPT.2018.8610710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Smart grid technology development progression has created a chance for the end users participation in the energy market. Singapore government has carried out the demand response programme for wholesale market since April of 2016. The Demand Side Management (DSM) in this paper looks into critical factors that will help users to reduce the energy bill with these solutions such as time-of-use (ToU) price, real-time price (RTP) and direct participation in the Demand Responses(DR) programme. This study reviews benefits for both market and users. These solutions would allow the users to become an active participant in the energy market. It also allows the government to plan better on the limited and costly energy resources, improve system reliability, and reduce transmission and distribution congestion, check and balance on the market power generation. Algorithms, such as linear programming, non-linear programming and machine learning are used in this paper to provide a numerical analysis for different DSM strategies. The research will make Singapore energy market more resilient and reducing energy consumption by introducing competition.