DocumentCode :
1585879
Title :
Model predictive control-based power management strategy for fuel cell/wind turbine/supercapacitor integration for low power generation system
Author :
Sandoval-Moreno, John ; Besancon, Gildas ; Martinez, Juan
Author_Institution :
Control Syst. Dept., Grenoble Inst. of Technol., St. Martin d´Hères, France
fYear :
2013
Firstpage :
1
Lastpage :
10
Abstract :
This paper deals with the problem of power coordination on multi-source systems. Here, the objective is to regulate the provided voltage at the load bus by keeping the supercapacitor voltage around admissible values. In addition, operational constraints are also included, particularly, the power slew rate provided by the fuel cell, as well as by the supercapacitor. According to those objectives, a Model Predictive Control (MPC) is proposed for coordination of the different units. That control is intended for respecting the improved constraints and keeping the optimality of the interconnected system. In this paper, a system simulation, including a fuel cell, a supercapacitor an a wind turbine power system are considered. Here, a comparison of the MPC with respect to a Linear Quadratic Regulator (LQR) is performed in order to illustrate the behavior of the proposed approach.
Keywords :
distributed power generation; fuel cell power plants; linear quadratic control; predictive control; renewable energy sources; supercapacitors; wind turbines; LQR; distributed power generation; fuel cell; linear quadratic regulator; low power generation system; model predictive control; multi-source systems; power management strategy; power slew rate; renewable energy; supercapacitor voltage; wind turbine power system; Current control; Fuel cells; Inductors; Load modeling; Power systems; Supercapacitors; Wind turbines; Optimal Control; Power Management; Renewable Energy Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Applications (EPE), 2013 15th European Conference on
Conference_Location :
Lille
Type :
conf
DOI :
10.1109/EPE.2013.6634483
Filename :
6634483
Link To Document :
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