Utilizing flexibility in Microgrids using Model Predictive Control

Frederik Banis; Daniela Guericke; Henrik Madsen; Niels Kjølstad Poulsen

doi:10.1049/cp.2018.1856

Utilizing flexibility in Microgrids using Model Predictive Control

Frederik Banis, Daniela Guericke, Henrik Madsen, Niels Kjølstad Poulsen

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

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Abstract

We derive a control strategy for the operation of Microgrids (MGs) with high shares of Renewable Energy Sources involving Model Predictive Control (MPC). By combining the MPC with an Energy Management System (EMS) utilizing stochastic programming techniques and a sufficiently large temporal optimization window we improve the point of operation of the system regarding both short and long-term operational aspects. We aim for a system operation that allows for the utilization of the MG as a Virtual Power Plant. In this work we focus on the predictive controller design and the incorporation of information derived in the EMS layer.

Original language	English
Title of host publication	Proceedings of Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Number of pages	6
Publisher	Institution of Engineering and Technology
Publication date	2018
ISBN (Print)	978-1-83953-133-0
DOIs	https://doi.org/10.1049/cp.2018.1856
Publication status	Published - 2018
Event	11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion - Hotel Croatia Cavtat, Dubrovnik , Croatia Duration: 12 Nov 2018 → 15 Nov 2018 Conference number: 11 http://medpower2018.com/

Conference

Conference	11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Number	11
Location	Hotel Croatia Cavtat
Country/Territory	Croatia
City	Dubrovnik
Period	12/11/2018 → 15/11/2018
Internet address	http://medpower2018.com/

Series	IET Control Theory and Applications
ISSN	1751-8644

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10.1049/cp.2018.1856

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title = "Utilizing flexibility in Microgrids using Model Predictive Control",

abstract = "We derive a control strategy for the operation of Microgrids (MGs) with high shares of Renewable Energy Sources involving Model Predictive Control (MPC). By combining the MPC with an Energy Management System (EMS) utilizing stochastic programming techniques and a sufficiently large temporal optimization window we improve the point of operation of the system regarding both short and long-term operational aspects. We aim for a system operation that allows for the utilization of the MG as a Virtual Power Plant. In this work we focus on the predictive controller design and the incorporation of information derived in the EMS layer.",

author = "Frederik Banis and Daniela Guericke and Henrik Madsen and Poulsen, {Niels Kj{\o}lstad}",

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publisher = "Institution of Engineering and Technology",

booktitle = "Proceedings of Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion",

note = "11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018 ; Conference date: 12-11-2018 Through 15-11-2018",

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Banis, F, Guericke, D, Madsen, H & Poulsen, NK 2018, Utilizing flexibility in Microgrids using Model Predictive Control. in Proceedings of Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion. Institution of Engineering and Technology, IET Control Theory and Applications, 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, Dubrovnik , Croatia, 12/11/2018. https://doi.org/10.1049/cp.2018.1856

Utilizing flexibility in Microgrids using Model Predictive Control. / Banis, Frederik; Guericke, Daniela; Madsen, Henrik et al.
Proceedings of Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion. Institution of Engineering and Technology, 2018. (IET Control Theory and Applications).

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

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AB - We derive a control strategy for the operation of Microgrids (MGs) with high shares of Renewable Energy Sources involving Model Predictive Control (MPC). By combining the MPC with an Energy Management System (EMS) utilizing stochastic programming techniques and a sufficiently large temporal optimization window we improve the point of operation of the system regarding both short and long-term operational aspects. We aim for a system operation that allows for the utilization of the MG as a Virtual Power Plant. In this work we focus on the predictive controller design and the incorporation of information derived in the EMS layer.

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DO - 10.1049/cp.2018.1856

M3 - Article in proceedings

SN - 978-1-83953-133-0

T3 - IET Control Theory and Applications

BT - Proceedings of Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion

PB - Institution of Engineering and Technology

T2 - 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion

Y2 - 12 November 2018 through 15 November 2018

ER -

Utilizing flexibility in Microgrids using Model Predictive Control

Abstract

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