Application of Kalman filtering in computer relaying of power systems
Abstract
Kalman filter models for the optimal estimation of the postfault currents and voltages for computer relaying purposes of power systems are presented. As a prerequisite for the Kalman filtering implementation, the random description of the faultinduced noise signals was quantitatively studied. Empirical formulas that describe the random nature of the noise based on the probability of fault location and the frequency of occurrence of the difference types of faults are given. These empirical formulas offer the possibility of developing other techniques in computer relaying of power systems. Sensitivity of the Kalman filters to incorrect model parameters was studied through extensive simulation. A Kalmanfilteringbased digital distance relay was designed to detect, classify, and locate faults in a high voltage transmission line in the shortest period of time. Comparison of the developed technique with four other algorithms demonstrated that the Kalmanfilteringbased algorithm is superior to other techniques in the rate of convergence to the exact values, accuracy, and computer burden. Thus the Kalman filtering approach appears to be especially wellsuited to the power system protection problem.
 Publication:

Ph.D. Thesis
 Pub Date:
 October 1981
 Bibcode:
 1981PhDT........43G
 Keywords:

 Computer Techniques;
 Electric Power Transmission;
 Electric Relays;
 Kalman Filters;
 Numerical Control;
 Power Lines;
 Algorithms;
 Convergence;
 Digital Systems;
 High Voltages;
 Random Noise;
 Electronics and Electrical Engineering