Abstract
This paper presents a new method of dynamic state estimation (DSE) based on Kalman filter, rather than extended Kalman filter. The complex line flow measurements are used to obtain the complex element voltages of the power system, which are then treated as the effective system measurements at the filtering stage. Since, the complex element voltages are linearly related to the complex bus voltages, use of the Kalman filter provides more accurate and faster estimation of the unknown complex bus voltages. At the prediction stage, Holt's two parameter exponential smoothing technique has been adopted for its reliable performance. The proposed new dynamic state estimation (NDSE) has been tested on 5-bus, 14-bus and 30-bus test systems and the numerical results are presented. The performance of the proposed NDSE has been compared with the existing DSE methods for various simulated test conditions. The error analysis of the methods studied reveals the superiority of the proposed NDSE method particularly under sudden change in operating conditions of the system.
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