Shape optimization of pole shoes in harmonic exciting synchronous generators using a stochastic algorithm

The optimization of pole shoes in harmonic exciting synchronous generators is effectively performed using the combined strategy of improved simulated annealing and genetic algorithms with some new improvements made in this paper. The improvements include a rule for the generation of new states, an adaptive regulation schedule for the length of the interval of the pseudo-random parameter and the addition of geometrical constraints. Numerical results on different machines reveal that the iterative number used by executing the combined strategy with improvements is only about 50% of that used by executing the original method, whilst that the optimization results obtained using different algorithms are nearly the same.