Utilizing flexibility in Microgrids using Model Predictive Control

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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 languageEnglish
Title of host publicationProceedings of Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Number of pages6
PublisherInstitution of Engineering and Technology
Publication date2018
ISBN (Print)978-1-83953-133-0
DOIs
Publication statusPublished - 2018
Event11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion - Hotel Croatia Cavtat, Dubrovnik , Croatia
Duration: 12 Nov 201815 Nov 2018
Conference number: 11
http://medpower2018.com/

Conference

Conference11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Number11
LocationHotel Croatia Cavtat
CountryCroatia
CityDubrovnik
Period12/11/201815/11/2018
Internet address
SeriesIET Control Theory and Applications
ISSN1751-8644

Cite this

Banis, F., Guericke, D., Madsen, H., & Poulsen, N. K. (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 https://doi.org/10.1049/cp.2018.1856