Power Systems Research Center

        Knowledge of the system state (Voltage and angle at all buses) is very important for ensuring economic and efficient operation of a power network. Static state estimators, which are widely in use, enable the estimation of the system state by processing all the information about the system at each sampling period. But due to dynamically changing loads, the state of the power system also changes dynamically, making it necessary for the static state estimator to be run for every change in the load. This necessitates a method which has a better model of the time behavior of the system state. Dynamic state estimation is a method of estimating the state of the system one step ahead, based on the previous state of the system and information on the likely changes the system state might undergo. This ability of predicting the system state in advance gives more time for the operator to judge the system behavior and hence allows for more accurate control decisions. At the power system research center at IIIT-H, studies have been made for better understanding of the existing techniques and work is on to develop the newer and better algorithm for dynamic state estimation. A prototype tool is also being developed to study the effect of the Phasor Measurement Units (PMU) in the power system and their usage in dynamic estimation of the system state.