Application Of Genetic Algorithm To Harmonic Control

In this paper, harmonic control parameters in the passive power filter design in-depth study, analysis of a variety of passive devices of harmonic structure and working principle of the PCC point compensation filter of features. Proposed based on non-dominated genetic algorithm to solve the passive filter parameters options, ranging from harmonic suppression and economical indicators integrated multi-objective optimization of filter parameters, program written by non-dominated sorting algorithm using VC++, achieved in the PCC point optimum parameters of filter filter. On the optimum design and engineering design method filter parameters obtained by comparison of the simulation, the results show that the non-dominated genetic algorithm for multi-objective optimization design of the filter parameters obtained access to relatively better harmonic suppression and economic effects, at the same time take into account effects of reactive power compensation, with rationality and superiority.