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Communication Dans Un Congrès Année : 2019

Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant

Résumé

In this paper, an energy management system (EMS) of a grid-connected hybrid system, based on MPC methodology is presented. This approach is a control system based on the storage system model, which predicts the future output behavior of the storage system handling the power balance between the electricity supplied by the hybrid plant and the demand. This EMS aims to minimize electricity consumption from the grid by producing and consuming as much as possible renewable energy. To comply this, the hybrid power plant combines photovoltaic panels (PV), Li-Ion batteries and a chain of hydrogen (fuel cell, electrolyzer and hydrogen tank). The proposed control strategy has been implemented and tested using the Matlab/Simulink environment.
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Dates et versions

hal-02396724 , version 1 (06-12-2019)

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Citer

Adriana Aguilera Gonzalez, Matias Bottarini, Ionel Vechiu, Luc Gautier, Ludovic Ollivier, et al.. Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant. 2019 International Conference on Smart Energy Systems and Technologies (SEST), University of Porto, Sep 2019, Porto, Portugal. ⟨10.1109/SEST.2019.8849051⟩. ⟨hal-02396724⟩

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