K. Witheephanich, S. Roshany-Yamchi, A. Mcgibney, S. Rea
{"title":"Constrained model predictive control for operation of a building-integrated microgrid","authors":"K. Witheephanich, S. Roshany-Yamchi, A. Mcgibney, S. Rea","doi":"10.1109/ISGTEurope.2017.8260182","DOIUrl":null,"url":null,"abstract":"Building energy consumption in Ireland makes accounts for 40% of total energy usage, so reducing building energy usage is of great importance. Building integration with microgrids offers a transition to a more energy and cost efficient infrastructure with more fine grained control being possible. To guarantee microgrid stability and efficient operation, this paper formulates a constrained model predictive control problem by using a simplified hybrid system model with logic constraints; and building load and energy price predictions for the dynamic energy management of the microgrid. In terms of a use case we focus on the microgrid installed at our research building comprising of a combined heat and power unit/boilers/storage tank/battery bank. The effectiveness of the proposed control algorithm is illustrated through numerical simulations.","PeriodicalId":345050,"journal":{"name":"2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2017.8260182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Building energy consumption in Ireland makes accounts for 40% of total energy usage, so reducing building energy usage is of great importance. Building integration with microgrids offers a transition to a more energy and cost efficient infrastructure with more fine grained control being possible. To guarantee microgrid stability and efficient operation, this paper formulates a constrained model predictive control problem by using a simplified hybrid system model with logic constraints; and building load and energy price predictions for the dynamic energy management of the microgrid. In terms of a use case we focus on the microgrid installed at our research building comprising of a combined heat and power unit/boilers/storage tank/battery bank. The effectiveness of the proposed control algorithm is illustrated through numerical simulations.