English title

Parameters estimation of dynamic model of synchronous generators is an essential prerequisite for viable and reliable power system operation and offline studies. Advent of phasor measurement units (PMU) and its growing applications in power systems have led to an evolution in the electric power network wide-area monitoring, protection, and control. Alongside, these devices have revealed unprecedented potentials in offline studies such as parameter estimation of various equipment and event analysis. This paper focuses on parameters estimation of classical model of synchronous generators using PMU data. Accordingly, a new method for estimation of transient reactance of classical model of generator is proposed and electromechanical parameters of this generator are estimated with two techniques of recursive least square and Kalman filter. Electromechanical parameters include inertia constant, damping coefficient and mechanical power. A single generator connected to an infinite bus is simulated in PSAT and parameters of generator are estimated employing the proposed method. The impact of noise-polluted input data on the effectiveness of the new techniques is examined. The results obtained from two mentioned methods are compared under various circumstances.