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Power system state estimation is the important module in monitoring the power system network. The state estimator provides states of the power system by processing the measurements placed optimally across the power system network. However, temporary un-observability may occur due to unexpected loss of measurement devices or communication links. In the present paper, the reliability of the static state...
State estimation is the heart of the energy management system, primarily used for control and monitoring of electrical power systems. Commonly used conventional weighted least square estimator is not reliable, particularly in the presence of bad data. Subsequently, bad data processing techniques have been developed to detect, identify, and eliminate the bad data present in the measurement set. In...
Power system state estimation (PSSE) is one of the vital components in energy management system. Owing to high computational efficiency of weighted least squares (WLS) estimator, it is generally utilized to estimate the state of the power system. However, WLS is a non-robust estimator, i.e. estimated states are highly distorted even in the presence of single bad data measurement. Hence, a high breakdown...
In the present paper, gravitational search algorithm in conjunction with weighted least square method has been proposed to solve state estimation (PSSE) problem by considering both conventional and PMU measurements. The proposed method considers the current phasors in polar coordinates and alleviates the ill-conditioned problem caused during flat start. The proposed algorithm has been tested on IEEE-14...
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