Antti Alahaivala, O. Kilkki, M. Degefa, I. Seilonen, M. Lehtonen
{"title":"A virtual power plant for the aggregation of domestic heating load flexibility","authors":"Antti Alahaivala, O. Kilkki, M. Degefa, I. Seilonen, M. Lehtonen","doi":"10.1109/ISGTEUROPE.2014.7028861","DOIUrl":null,"url":null,"abstract":"Demand-side is becoming more active in various power system operations as it is able to provide the system with extra flexibility to balance the volatility of the generation-side. Suggested applications can vary from short term emergency control to participation in a day-ahead market. In order to improve the presence of demand response in these operations, this paper describes a virtual power plant (VPP) for domestic heating load aggregation. The main contribution is to introduce the three states of VPP operation: normal, emergency and restoration that allow loads to participate in the maintaining of consumption-generation balance in different time scales. Furthermore, the study discusses a multi-agent system (MAS) approach to implement the proposed VPP. The VPP operation is demonstrated and tested by dynamic simulations.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PES Innovative Smart Grid Technologies, Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEUROPE.2014.7028861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Demand-side is becoming more active in various power system operations as it is able to provide the system with extra flexibility to balance the volatility of the generation-side. Suggested applications can vary from short term emergency control to participation in a day-ahead market. In order to improve the presence of demand response in these operations, this paper describes a virtual power plant (VPP) for domestic heating load aggregation. The main contribution is to introduce the three states of VPP operation: normal, emergency and restoration that allow loads to participate in the maintaining of consumption-generation balance in different time scales. Furthermore, the study discusses a multi-agent system (MAS) approach to implement the proposed VPP. The VPP operation is demonstrated and tested by dynamic simulations.