The accuracy of load modeling has a significant influence on power system simulation result. The modeling method based on instantaneous value is able to enhance the utilization rate of the information measured greatly with instantaneous value data used for modeling and the validation . Directing at the precocity and low convergence velocity problems of traditional genetic algorithms, a modified crowding niche genetic algorithm is proposed for instantaneous value load modeling. A case study is adopted and it shows that the modified method performs well in improving parameter accuracy and convergence velocity.
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