A Genetic Algorithm Approach for Identifying Synchronous Generator Parameters from Excitation Disturbance Test

This paper presents a genetic algorithm based technique for on-line estimation of synchronous generator parameters, using an excitation disturbance. To illustrate and verify the proposed algorithm, some excitation disturbance tests are conducted on an actual hydro generator. Machine response to the applied disturbance is processed by the proposed technique using genetic algorithm. The estimated values of the parameters are compared with manufacture's data and also validated by comparing measured and simulated d-axis and q- axis flux linkages.