{"title":"Assessment of demand response capability with thermostatic loads in residential sector","authors":"A. Mathew, Rishi Menon","doi":"10.1109/PICC.2015.7455746","DOIUrl":null,"url":null,"abstract":"In the context of power systems with deep efficiency concerns, demand response gains significant importance. Moreover, demand response can play a very relevant role in the electrical systems with an intensive use of distributed energy resources. During the effort to accommodate larger shares of renewable energy sources, while maintaining the power balance and ensuring the reliability of the power system, the implementation of demand response mechanisms may provide considerable options to reshape the supply of electrical energy. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. Here, the study presents a new approach of modeling flexible loads and aims to create further knowledge on the potentials of residential demand response concepts. Modeling of heating systems in a building was done in Matlab/Simulink and analyzed their characteristics in terms of temperature control in order to reach thermal comfort conditions and reduce energy consumption. Large commercial buildings can effectively manage large number responsive loads to provide various demand responsive services, such as peak load reduction.","PeriodicalId":373395,"journal":{"name":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Power, Instrumentation, Control and Computing (PICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICC.2015.7455746","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In the context of power systems with deep efficiency concerns, demand response gains significant importance. Moreover, demand response can play a very relevant role in the electrical systems with an intensive use of distributed energy resources. During the effort to accommodate larger shares of renewable energy sources, while maintaining the power balance and ensuring the reliability of the power system, the implementation of demand response mechanisms may provide considerable options to reshape the supply of electrical energy. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. Here, the study presents a new approach of modeling flexible loads and aims to create further knowledge on the potentials of residential demand response concepts. Modeling of heating systems in a building was done in Matlab/Simulink and analyzed their characteristics in terms of temperature control in order to reach thermal comfort conditions and reduce energy consumption. Large commercial buildings can effectively manage large number responsive loads to provide various demand responsive services, such as peak load reduction.