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

doi:10.1109/ISGTEurope.2012.6465618

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 proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference
Number of pages	8
Publisher	IEEE
Publication date	2012
Pages	6465618
ISBN (Print)	9781467325974
DOIs	https://doi.org/10.1109/ISGTEurope.2012.6465618
Publication status	Published - 2012
Event	3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) - Berlin, Germany Duration: 14 Oct 2012 → 17 Oct 2012 Conference number: 3

Conference

Conference	3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012)
Number	3
Country/Territory	Germany
City	Berlin
Period	14/10/2012 → 17/10/2012

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10.1109/ISGTEurope.2012.6465618

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

abstract = "This paper presents a Model Predictive Controller (MPC) for electrical heaters{\textquoteright} 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{\textquoteright} 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. {\textcopyright} 2012 IEEE",

author = "Yi Zong and Lucian Mihet-Popa and Daniel Kullmann and Anders Thavlov and Oliver Gehrke and Bindner, {Henrik W.}",

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note = "3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) ; Conference date: 14-10-2012 Through 17-10-2012",

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Zong, Y, Mihet-Popa, L, Kullmann, D, Thavlov, A, Gehrke, O & Bindner, HW 2012, Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building. in Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference. IEEE, pp. 6465618, 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012), Berlin, Germany, 14/10/2012. https://doi.org/10.1109/ISGTEurope.2012.6465618

Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building. / Zong, Yi; Mihet-Popa, Lucian; Kullmann, Daniel et al.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference. IEEE, 2012. p. 6465618.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - 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

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

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