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This paper proposes a power system dynamic state estimator (DSE) based on a two pass algorithm known as the Rauch-Tung-Striebel (RTS) smoother. The RTS smoother is a two pass algorithm consisting of a standard Extended Kalman Filter (EKF) based forward pass and a backward recursion smoother. The measurement system is assumed to have both conventional measurements and phasor measurement units (PMUs)...
Fast and accurate estimation of voltage stability margin is essential for secure operation of the power systems. In this paper, a network reduction based method has been proposed to determine the closest distance to the point of voltage instability. Transformation of measurements is used to get the measurements for the reduced network corresponding to the original network. Shortest distance to voltage...
Convergence problems and loss of accuracy due to numerical ill-conditioning is a frequently encountered problem in power system state estimation. It has been experienced by the researchers that the presence of PMU measurements along with the conventional measurements deteriorates the numerical conditioning of the so-called hybrid state estimator. This paper describes a simple technique to analyze...
The paper presents an artificial neural network (ANN)-based hybrid state estimator for estimating the states of a power system in the presence of conventional asynchronous as well as synchronous phasor measurements. Case studies on test systems show promising results for the ANN-based estimator. The paper also presents methodologies to enhance the visualization of the power system during the intervals...
The paper presents a methodology to include measurements from phasor measurement units (PMUs) as well as conventional measurements in a state estimator. A comprehensive strategy to combine conventional measurements, such as the power flow and power injection measurements, with the direct and pseudo-voltage measurements by the PMUs in a weighted least square (WLS) formulation of the state estimation...
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