Genetic algorithm-based analysis of wind-driven parallel operated self-excited induction generators supplying isolated loads

A procedure based on genetic algorithm (GA) has been formulated for the performance predetermination of wind-driven self-excited induction generators (SEIGs) operating in parallel and supplying common loads. Both static and induction motor (IM) loads have been considered. The GA technique has also been applied for the evaluation of the excitation capacitor required for obtaining a desired terminal voltage for a given speed and load. This technique is also used for the predetermination of the upper and lower limits of the rotor speed of any SEIG in the parallel set up, to keep all the machines in the generating mode. The necessity of the terminal voltage equality of all the parallel operating machines serves as one of the factors in the formation and minimisation of the objective function, leading to the solution for the unknown magnetising reactances and core loss resistances of the various induction machines and the common frequency of operation of the set-up. Experimental results obtained on the SEIGs have been furnished and they are shown to be in close agreement with predetermined values using the GA method. The analysis developed herein will be useful in forming AC and DC microgrids, fed by several SEIGs.