Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant
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EN
Communication dans un congrès
This item was published in
2019 International Conference on Smart Energy Systems and Technologies (SEST), 2019 International Conference on Smart Energy Systems and Technologies (SEST), 2019-09-09, Porto. 2019-09-26
English Abstract
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 ...Read more >
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.Read less <
English Keywords
Model Predictive Control
Energy Management System
Photovoltaics Panels
Li-Ion battery
Proton Exchange Membrane Fuel Cell
Renewable Energie Sources
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