Frequency domain parameter estimation of a synchronous generator using bi-objective genetic algorithms

Authors:
P. Pao-La-Or;T. Kulworawanichpong;A. Oonsivilai
Affiliations:
Power and Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;Power and Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;Power and Energy Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand
Venue:
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Year:
2007

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Abstract

This paper presents a way to obtain parameters of a direct-axis equivalent circuit of a synchronous generator from frequency response data using bi-objective genetic algorithms. The genetic algorithms is capable of finding a global minimum within a given search interval. The sum square error of magnitude and phase of the d-axis equivalent circuit transfer function to formulate a bi-objective optimization problem is minimized to best fit the measured data extracted from the frequency response test of the machine. As a result, exploitation of the bi-objective optimization based on Genetic Algorithms gives very good results than those of using either the magnitude or the phase as a single objective.