MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant
Langue
EN
Communication dans un congrès
Ce document a été publié dans
2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), International Conference on Renewable Energy Research and Applications- ICRERA 2018, 2018-10-14, Paris. 2018-12-10
Résumé en anglais
In this paper, an energy management system (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid ...Lire la suite >
In this paper, an energy management system (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid plant combining a wind energy conversion system (WECS) and a Li-ION battery energy storage system (BESS). The hybrid plant should inject power into the grid continuously, subject to a commitment band previously fixed. For this, the proposed EMS handles the battery's charge/discharge cycles and state-of-charge (SoC) efficiently, to maintain the generation engagements while considering the BESS lifespan. The energy management system is tested via Matlab/Simulink software by using real wind data.< Réduire
Mots clés en anglais
Energy management system
Li-ION battery
wind turbine
model predictive control
renewable energies.
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