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Authors: Le Anh Dao ; Luca Ferrarini and Luigi Piroddi

Affiliation: Politecnico di Milano, Italy

ISBN: 978-989-758-263-9

Keyword(s): Microgrid, Energy Management, Distributed Control, Model Predictive Control, Quadratic Programming.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Energy Efficiency and Green Manufacturing ; Engineering Applications ; Formal Methods ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Planning and Scheduling ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Simulation and Modeling ; Symbolic Systems

Abstract: This paper presents a model predictive control approach for the economic optimization of a microgrid including smart buildings, wind power production facilities and an energy storage unit. Various optimization scenarios are considered in a comprehensive and unified framework, which can be adapted to pursue different objectives at the same time, such as ensuring the electricity supply to the smart buildings, maximizing the profit from the electricity trading market, or managing the energy storage. The optimization problem can be addressed in a model predictive framework using the receding horizon approach, and ultimately formulated as a quadratic programming problem, which can be solved with reliable and efficient tools. In order to analyze a realistic scenario, the relevant data are taken from real systems (i.e., from a real wind farm and from a real commercial building, located in Italy). Simulation results show the economic advantages that can be gained through the combined usage of renewable energy generation and energy storage. (More)

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Paper citation in several formats:
Dao, L.; Ferrarini, L. and Piroddi, L. (2017). MPC-based Management of Energy Resources in Smart Microgrids.In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-263-9, pages 246-253. DOI: 10.5220/0006427902460253

@conference{icinco17,
author={Le Anh Dao. and Luca Ferrarini. and Luigi Piroddi.},
title={MPC-based Management of Energy Resources in Smart Microgrids},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2017},
pages={246-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006427902460253},
isbn={978-989-758-263-9},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - MPC-based Management of Energy Resources in Smart Microgrids
SN - 978-989-758-263-9
AU - Dao, L.
AU - Ferrarini, L.
AU - Piroddi, L.
PY - 2017
SP - 246
EP - 253
DO - 10.5220/0006427902460253

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