Ant colony optimization algorithm and disturbance analysis of synchronous generator parameter identification

With the fifth order model of synchronous generator,the dynamic response of synchronous generator is generated by changing the excitation reference voltage,the synchronous generator parameters are identified by the ant colony optimization algorithm,and the influences of disturbance size and mode on identification accuracy are analyzed. The feasibility of ant colony optimization algorithm is verified on RTDS. Results show that,the larger the disturbance is,the higher the identification accuracy will be. As to the disturbance size mode,the identification accuracy is better when white noise is added,which more effectively stimulates the subtransient behavior of synchronous generator,and it improves the identification accuracy of subtransient parameters with little effect on that of steady-state parameters.