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Model Predictive Control for Micro Grid stabilisation in case of loss of units

Abstract : This paper presents an energy management system based on a distributed explicit model predictive control. The ability of the energy management system to cope with loss of a unit in an islanded DC micro grid is evaluated. In this study, the DC micro grid is composed with a photovoltaic system, a proton exchange membrane fuel cell, a battery stack and an electrolyzer. The fuel cell and the electrolyzer performance can be affected by many parameters (humidity, temperature, etc.) or auxiliaries control issues. The power of the photovoltaic system can decrease suddenly in case of irradiation loss (weather) or if a part of the photovoltaic surface is hidden. The worst case is the totality loss of one unit (disconnection in failures case). Distributed control can solve this issue by the compensation of the elements between them when a part or the total power capacity of one unit is lost. This work shows the performance of the distributed explicit model predictive control strategy in case of the totality loss of an element.
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Submitted on : Monday, June 15, 2020 - 8:39:56 AM
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  • HAL Id : hal-02867767, version 1


Fabrice Bidi, Cédric Damour, Dominique Grondin, Mickaël Hilairet, Michel Benne. Model Predictive Control for Micro Grid stabilisation in case of loss of units. Conference on Decision and Control, Dec 2019, Nice, France. ⟨hal-02867767⟩



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