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PMU Based Linear State Estimator for Electric Power System

 Abstract — The most commonly used weighted least square state estimator in power industry is nonlinear and formulated by using conventional measurements such as line flow and injection measurements. PMUs (Phasor Measurement Units) are gradually adding them to improve the state estimation process. Traditional state estimators were non-linear in nature takes very high computation times. Hybrid state estimator with a measurement model combining the state-estimate from the classical state estimator with the direct state measurement from the PMUs was linear and the solution is direct and non-iterative. In Hybrid state estimator by addition of even a few PMUs can significantly increase the accuracy of the system state. Previous PMU placement research has focused primarily on network topology, with the goal of finding configurations that achieve full network observability with a minimum number of PMUs due to high cost of PMUs. The cost associated with these devices has fallen over the last several decades as computer & GPS technology has improved while the cost of PMUs has decreased. In this paper the way of corporation the PMU data to the conventional measurements and a linear formulation of the state estimation using only PMU measured data are investigated. To develop Topology processor, which will take breaker statuses and line current phasors and determine topology of the network, and the actual three phase linear state estimator which will use PMU data to determine the state of the system.