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In this paper, a hybrid optimization technique is presented to solve the well-known problem of tuning power system stabilizers' (PSSs) parameters. The hybrid technique is derived from particle swarm optimization (PSO) by adding the passive congregation model. The tuning of the PSS parameters is formulated as the multi-objective function with constraints including the damping ratio and damping factor...
This paper concerns with transient stability control which is part of transient stability assessment which needs to be considered so that the power systems remained intact when failures originating from faults occurred in power systems. Conventional UFLS system is designed to retrieve the balance of generation and consumption following disturbances occurrences in the system. In UFLS method, whenever...
This paper presents transient stability assessment of a large actual power system using the probabilistic neural network (PNN) with enhanced feature selection and extraction method. The investigated large power system is divided into five smaller areas depending on the coherency of the areas when subjected to disturbances. This is to reduce the amount of data sets collected for the respective areas...
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 dynamic voltage collapse prediction on an actual power system using support vector machines. Dynamic voltage collapse prediction is first determined based on the PTSI calculated from information in dynamic simulation output. Simulations were carried out on a practical 87 bus test system by considering load increase as the contingency. The data collected from the time domain simulation...
This paper presents transient stability assessments of a large actual power system using the least squares support vector machine (LS-SVM) with enhanced feature selection method. The investigated large power system is divided into five smaller areas depending on the coherency of the areas when subjected to disturbances. This is to reduce the amount of data sets collected for the respective areas....
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...
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