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Mixed integer quadratic programming receding horizon microgrid supervisor

Communication avec acte
Author
LEGRY, Martin
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
COLAS, Frédéric
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
SAUDEMONT, Christophe
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
DIEULOT, Jean-Yves
410272 Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
DUCARME, Olivier
430995 ENGIE

URI
http://hdl.handle.net/10985/21618
DOI
10.1109/PTC.2019.8810459
Date
2019

Abstract

This paper proposes to optimize the real time operation of a microgrid controlled with a two-layer Model Predictive Controller supervisor. Based on the classical decomposition of control level, the proposed supervisor tracks long-term economic references from a classical economic optimization routine. The optimization problem is formulated as a Mixed Integer Quadratic Problem and uses the different power references as levers to reach this optimum and maintain the state of the microgrid within limitations. In addition, it is able to minimize the grid losses.

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