{"title":"On the problem formulation of model predictive control for demand response of a power-to-heat home microgrid","authors":"D. Rodriguez, J. Hinker, J. Myrzik","doi":"10.1109/PSCC.2016.7541024","DOIUrl":null,"url":null,"abstract":"In this paper, MPC problem formulations for demand response of a power-to-heat residential microgrid are investigated. Two demand response operation strategies using MPC are proposed and thoroughly evaluated. The simulation results indicate that the problem formulation always poses a trade-off between comfort of the inhabitants, peak power reduction at point of common coupling and CPU time for the optimizer. These aspects have to be taken into consideration for a roll-out of demand response technology for residential buildings. While for the case presented in this paper, a quadratic objective function is the most promising one, the necessity of further investigations is derived from the results.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Power Systems Computation Conference (PSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSCC.2016.7541024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
In this paper, MPC problem formulations for demand response of a power-to-heat residential microgrid are investigated. Two demand response operation strategies using MPC are proposed and thoroughly evaluated. The simulation results indicate that the problem formulation always poses a trade-off between comfort of the inhabitants, peak power reduction at point of common coupling and CPU time for the optimizer. These aspects have to be taken into consideration for a roll-out of demand response technology for residential buildings. While for the case presented in this paper, a quadratic objective function is the most promising one, the necessity of further investigations is derived from the results.