A systematic approach in estimating the generator parameters

One of the growing needs in transmission planning is to provide accurate simulation models of the generator, excitation system, and governor; however, the degree of accuracy of the generator model is often questioned because model parameters currently used may have changed with time from its initial values. The accuracy of generator parameters is one of the crucial factors in correctly simulating power system dynamic events. This paper describes a systematic approach for deriving and estimating the generator parameters in which the implementation of the method is automated by using Matlab. In the proposed method for estimating the generator parameters, a gradient-based simulation optimization technique is employed. The objective is to minimize the error between the voltage response from the simulation software and the actual voltage response from staged tests. The generator parameters are estimated by updating the parameters until the responses of the simulated outputs match the actual recorded data. Effectiveness of the simulation optimization technique for estimating the generator parameters is shown by demonstrating on an example test system.