Application of Improved Genetic Algorithm in Parameter Identification of Synchronous Condenser

A new generation of 300Mvar synchronous condenser is widely used in UHVDC transmission system., but its transient operation parameters need to be further studied and analyzed. In order to obtain the accurate motor model and parameters., this paper proposes an improved genetic algorithm., which improves the population initialization., crossover and mutation operation on the basis of introducing elite retention strategy. This method effectively avoids the traditional genetic algorithm falling into the local optimal problem. Finally., the advantages., stability and accuracy of the improved genetic algorithm and the necessity of parameter identification are verified by the actual operation data.