Numerical optimization of IM based test bench for wind generators

This paper deals with the optimization of an electric drive system used to emulate the wind turbine in a wind generators test bench. The prime mover used to rotate the wind generators in the studied test bench is a three-phase Induction Motor IM whose motion is controlled using a vector control scheme. The numerical optimization methodology proposed in the paper refers to the smart identification of the most suitable PI regulators coefficients that provide the best system response in terms of stability, accuracy or speed. These coefficients are usually determined based on simplified hypotheses and then tuned manually so as the system response comply with the imposed criteria. The proposed methodology allows the automatic identification of these coefficients using intelligent optimization algorithms. This search procedure is used to better control a three-phase IM motor drive system destined to the emulation of the wind prime mover integrated in a wind generators test bench.