Nonlinear model identification of fuel cell power plant

Probably, fuel cell will be a dominant distributed energy resource. The computational burden required for the simulation is highly dependent on the complexity and accuracy of each model. The factory need often to provide the user a reliable low-complexity prototype model of the fuel cell, sufficiently accurate for the above application. In This work the nonlinear autoregressive exogenous (NARX) approach is used to analyse the dynamics of this fuel cell.