Estimation of the parameters of metal oxide gapless surge arrester equivalent circuit models using genetic algorithm

摘要

In the present work a genetic algorithm is developed, for the evaluation of the parameters of metal oxide gapless surge arrester circuit models, in order to minimize the error between the computed and the measured (by the manufacturer) peak value of the residual voltage for each given current waveform and level separately. Furthermore, the algorithm is modified in order to minimize the error simultaneously for all the given injected impulse (lightning and switching) current curves.