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This paper presents the application of support vector machines (SVM) for determining voltage unstable areas in an actual power system. The voltage unstable area is first determined based on the power transfer stability index (PTSI) calculated using information obtained from dynamic simulation output. Simulations were carried out on a practical 87 bus test system by considering load increase as the...
This paper presents a combined static and dynamic voltage stability analysis method to predict dynamic voltage collapse in a practical power system using the power transfer stability index (PTSI). In the static voltage stability analysis, the contingencies due to load increase at all the load buses are ranked so as to determine the critical contingencies based on the maximum permissible load. Then,...
This paper presents a new method to determine voltage unstable area in power systems using Kohonen neural network (KNN) from dynamic voltage stability viewpoint. Using KNN, the buses in a power system are classified as critical and non critical buses based on the power transfer stability index values. The critical buses are then clustered to form the voltage unstable area in a power system. The proposed...
This paper presents a new indicator named as the power transfer stability index for predicting dynamic voltage collapse in power systems. In the time domain simulation process, dynamic power system models such as automatic voltage regulator, over excitation limiter, under load tap changer and induction motor are considered. The performance of the proposed indicator was tested using the 9-bus and the...
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