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Communication Dans Un Congrès Année : 2013

Model Predictive Control-Based Power Management Strategy for Fuel Cell/Wind Turbine/Supercapacitor Integration For Low Power Generation System

Résumé

This paper deals with the problem of power coordination on multi-source system. 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, respect of 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 a wind turbine power system are considered. Here, a comparison of the MPC w.r.t a LQR is performed in order to illustrate the behavior of the proposed approach.
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Dates et versions

hal-00856879 , version 1 (02-09-2013)

Identifiants

  • HAL Id : hal-00856879 , version 1

Citer

John Sandoval-Moreno, Gildas Besancon, John Jairo Martinez Molina. Model Predictive Control-Based Power Management Strategy for Fuel Cell/Wind Turbine/Supercapacitor Integration For Low Power Generation System. EPE'13-ECCE Europe 2013 - the 15th European Conference on Power Electronics and Applications, Sep 2013, Lille, France. ⟨hal-00856879⟩
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