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 › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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	Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)
Publisher	Institution of Engineering and Technology
Edition	CP759
ISBN (Print)	9781785617911, 9781839531330
DOIs	https://doi.org/10.1049/cp.2018.1856
Publication status	Published - 30 Jun 2020
Externally published	Yes
Event	Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018 - Dubrovnik, Croatia Duration: 12 Nov 2018 → 15 Nov 2018

Publication series

Name	IET Conference Publications
Number	CP759
Volume	2018

Conference

Conference	Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018
Abbreviated title	MEDPOWER 2018
Country/Territory	Croatia
City	Dubrovnik
Period	12/11/18 → 15/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

n/a OA procedure

Access to Document

10.1049/cp.2018.1856

Cite this

Banis, F., Guericke, D., Madsen, H., & Poulsen, N. K. (2020). Utilizing flexibility in microgrids using model predictive control. In Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018) (CP759 ed.). (IET Conference Publications; Vol. 2018, No. CP759). Institution of Engineering and Technology. https://doi.org/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.",

keywords = "n/a OA procedure",

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

note = "Funding Information: This work has been supported by ENERGINET.DK under the project microgrid positioning - uGrip. The work by Daniela Guericke is funded by Innovation Fund Denmark through the CITIES research center (no 1035-00027B). Publisher Copyright: {\textcopyright} 2018 Institution of Engineering and Technology. All rights reserved.; Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018, MEDPOWER 2018 ; Conference date: 12-11-2018 Through 15-11-2018",

year = "2020",

month = jun,

day = "30",

doi = "10.1049/cp.2018.1856",

language = "English",

isbn = "9781785617911",

series = "IET Conference Publications",

publisher = "Institution of Engineering and Technology",

number = "CP759",

booktitle = "Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)",

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}

Banis, F, Guericke, D, Madsen, H & Poulsen, NK 2020, Utilizing flexibility in microgrids using model predictive control. in Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018). CP759 edn, IET Conference Publications, no. CP759, vol. 2018, Institution of Engineering and Technology, Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018, Dubrovnik, Croatia, 12/11/18. https://doi.org/10.1049/cp.2018.1856

Utilizing flexibility in microgrids using model predictive control. / Banis, Frederik; Guericke, Daniela; Madsen, Henrik et al.
Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018). CP759. ed. Institution of Engineering and Technology, 2020. (IET Conference Publications; Vol. 2018, No. CP759).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Banis, Frederik

AU - Guericke, Daniela

AU - Madsen, Henrik

AU - Poulsen, Niels Kjølstad

N1 - Funding Information: This work has been supported by ENERGINET.DK under the project microgrid positioning - uGrip. The work by Daniela Guericke is funded by Innovation Fund Denmark through the CITIES research center (no 1035-00027B). Publisher Copyright: © 2018 Institution of Engineering and Technology. All rights reserved.

PY - 2020/6/30

Y1 - 2020/6/30

N2 - 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.

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.

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85087607599

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DO - 10.1049/cp.2018.1856

M3 - Conference contribution

AN - SCOPUS:85087607599

SN - 9781785617911

SN - 9781839531330

T3 - IET Conference Publications

BT - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)

PB - Institution of Engineering and Technology

T2 - Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018

Y2 - 12 November 2018 through 15 November 2018

ER -

Utilizing flexibility in microgrids using model predictive control

Abstract

Publication series

Conference

UN SDGs

Keywords

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