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Conference paper

Utilizing flexibility in Microgrids using Model Predictive Control

From

Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark3

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.

Language: English
Publisher: Institution of Engineering and Technology
Year: 2018
Pages: 1-6
Proceedings: 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Series: Iet Control Theory and Applications
ISBN: 1839531339 and 9781839531330
ISSN: 17518644
Types: Conference paper
DOI: 10.1049/cp.2018.1856
ORCIDs: Guericke, Daniela , Madsen, Henrik and Poulsen, Niels Kjølstad

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