@inproceedings{d76f2311ab0e48bc9e55b5d8c83748ca,
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)",
address = "United Kingdom",
edition = "CP759",
}
