Mixed integer quadratic programming receding horizon microgrid supervisor - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

Mixed integer quadratic programming receding horizon microgrid supervisor

Mixed integer quadratic programming receding horizon microgrid supervisor

Résumé

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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Dates et versions

hal-02439590 , version 1 (09-03-2022)

Identifiants

Citer

Martin Legry, Frédéric Colas, Christophe Saudemont, Jean-Yves Dieulot, Olivier Ducarme. Mixed integer quadratic programming receding horizon microgrid supervisor. 2019 IEEE Milan PowerTech, Jun 2019, Milan, Italy. pp.6, ⟨10.1109/PTC.2019.8810459⟩. ⟨hal-02439590⟩
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