Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building

Yi Zong, Lucian Mihet-Popa, Daniel Kullmann, Anders Thavlov, Oliver Gehrke, Henrik W. Bindner

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents a Model Predictive Controller (MPC) for electrical heaters’ predictive power consumption including maximizing the use of local generation (e.g. solar power) in an intelligent building. The MPC is based on dynamic power price and weather forecast, considering users’ comfort settings to meet an optimization objective such as minimum cost and minimum reference temperature error. It demonstrates that this MPC strategy can realize load shifting, and maximize the PV self-consumption in the residential sector. With this demand side control study, it is expected that MPC strategy for Active Demand Side Management (ADSM) can dramatically save energy and improve grid reliability, when there is a high penetration of Renewable Energy Sources (RESs) in the power system. © 2012 IEEE
Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference
Number of pages8
PublisherIEEE
Publication date2012
Pages6465618
ISBN (Print)9781467325974
DOIs
Publication statusPublished - 2012
Event3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) - Berlin, Germany
Duration: 14 Oct 201217 Oct 2012
Conference number: 3

Conference

Conference3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012)
Number3
CountryGermany
CityBerlin
Period14/10/201217/10/2012

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