{"title":"家用微网电-热需求响应模型预测控制的问题表述","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":"{\"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}","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}
On the problem formulation of model predictive control for demand response of a power-to-heat home microgrid
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.