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

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

Standard

Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building. / Zong, Yi; Mihet-Popa, Lucian; Kullmann, Daniel; Thavlov, Anders; Gehrke, Oliver; Bindner, Henrik W.

Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference. IEEE, 2012. p. 6465618.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

Harvard

APA

CBE

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. Available from: 10.1109/ISGTEurope.2012.6465618

MLA

Zong, Yi et al. "Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building". Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference. IEEE. 2012. 6465618. Available: 10.1109/ISGTEurope.2012.6465618

Vancouver

Zong Y, Mihet-Popa L, Kullmann D, Thavlov A, Gehrke O, Bindner HW. 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. 2012. p. 6465618. Available from: 10.1109/ISGTEurope.2012.6465618

Author

Zong, Yi; Mihet-Popa, Lucian; Kullmann, Daniel; Thavlov, Anders; Gehrke, Oliver; Bindner, Henrik W. / Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building.

Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference. IEEE, 2012. p. 6465618.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

Bibtex

@inbook{a0e629ba8a6042c89af89bba3796698e,
title = "Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building",
publisher = "IEEE",
author = "Yi Zong and Lucian Mihet-Popa and Daniel Kullmann and Anders Thavlov and Oliver Gehrke and Bindner, {Henrik W.}",
year = "2012",
doi = "10.1109/ISGTEurope.2012.6465618",
isbn = "9781467325974",
pages = "6465618",
booktitle = "Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference",

}

RIS

TY - GEN

T1 - Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building

A1 - Zong,Yi

A1 - Mihet-Popa,Lucian

A1 - Kullmann,Daniel

A1 - Thavlov,Anders

A1 - Gehrke,Oliver

A1 - Bindner,Henrik W.

AU - Zong,Yi

AU - Mihet-Popa,Lucian

AU - Kullmann,Daniel

AU - Thavlov,Anders

AU - Gehrke,Oliver

AU - Bindner,Henrik W.

PB - IEEE

PY - 2012

Y1 - 2012

N2 - 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

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

U2 - 10.1109/ISGTEurope.2012.6465618

DO - 10.1109/ISGTEurope.2012.6465618

SN - 9781467325974

BT - Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference

T2 - Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference

SP - 6465618

ER -