K.M. El-Naggar and A.R.K. Al-Othman (Kuwait)
Stability, Estimation, Filter, Damping, Coefficient,Synchronizing.
This paper presents an efficient digital methodology for estimating synchronizing and damping torque coefficients of a synchronous machine using discrete dynamic filter. These coefficients are used as a measurement of power system stability. The proposed technique is based on stochastic estimation theory and uses digital samples of the machine time responses to perform the estimation process. The problem is formulated as a dynamic estimation problem and presented in state space form. The method is tested using simulated case study. Effects of sampling window size and number of samples on the accuracy of estimated parameters are studied. The speed of convergence is examined by changing the estimator initial conditions. Results are reported and compared with those obtained using the least error square estimation technique. Results obtained show that the method can be used as a very accurate on-line tool for estimating the damping and synchronizing torque coefficient.
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