Title :
Intelligent control of a hybrid electric energy source
Author :
Payman, Alireza ; Dakyo, Brayima
Author_Institution :
GREAH Lab., Univ. of Le Havre Le Havre, Le Havre, France
Abstract :
In this paper, an intelligent control strategy based on combination of the "flatness based control technique" and the "perturbation and observation (P&O) MPPT algorithm" is developed and investigated to control a hybrid electric energy source (HEPS). This EHPS is composed of a fuel cell system (FC) and a solar panel (SP), as the main source and a supercapacitor bank (SC), as the auxiliary sources. The main property of this strategy is that the system power flow is managed in different operating modes with the same control algorithm (without algorithm commutation). The power flows between the fuel cell, the SC is controlled by the flatness based control technique while a P&O MPPT technique is developed to control power of the SP. To validate performance of the proposed control of the HEPS, the simulation results are presented.
Keywords :
fuel cell power plants; hybrid power systems; intelligent control; maximum power point trackers; perturbation techniques; solar power stations; supercapacitors; HEPS; P&O MPPT algorithm; auxiliary sources; flatness based control technique; fuel cell system; hybrid electric energy source; intelligent control strategy; perturbation and observation algorithm; power control; solar panel; supercapacitor bank; Fuel cells; Intelligent control; Load flow; Mathematical model; Supercapacitors; Trajectory; DC-DC converter; Flatness; MPPT; P&O; full cell; hybrid energy source; solar panel; supercapacitor;
Conference_Titel :
Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
DOI :
10.1109/IECON.2014.7049151