DocumentCode
3567094
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
fYear
2014
Firstpage
4312
Lastpage
4317
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
Type
conf
DOI
10.1109/IECON.2014.7049151
Filename
7049151
Link To Document