F. Brazier, H. la Poutré, A. Abhyankar, K. Saxena, S. Singh, K. Tomar
{"title":"A review of multi agent based decentralised energy management issues","authors":"F. Brazier, H. la Poutré, A. Abhyankar, K. Saxena, S. Singh, K. Tomar","doi":"10.1109/ENERGYECONOMICS.2015.7235106","DOIUrl":null,"url":null,"abstract":"This paper proposes the concept of Distributed Energy Resource (DER) management, based on dynamic clustering of energy resources for better coordination of supply and demand. A review on load profiling and forecasting mechanisms is provided which to be utilised in building knowledge, needed for local and global coordination. To avoid large scale complexities, a decentralised control approach with Multi Agent System (MAS) is deployed. A review on MAS technologies and their application in power system is presented. With MAS we provide a framework for designing producer, consumer and cluster agents. These agents further negotiate Service Level Agreements for managing supply and demand and optimally utilizing the energy resources.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"5 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Energy Economics and Environment (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper proposes the concept of Distributed Energy Resource (DER) management, based on dynamic clustering of energy resources for better coordination of supply and demand. A review on load profiling and forecasting mechanisms is provided which to be utilised in building knowledge, needed for local and global coordination. To avoid large scale complexities, a decentralised control approach with Multi Agent System (MAS) is deployed. A review on MAS technologies and their application in power system is presented. With MAS we provide a framework for designing producer, consumer and cluster agents. These agents further negotiate Service Level Agreements for managing supply and demand and optimally utilizing the energy resources.