Abstract

Voltage stability monitoring plays a significant role in secure and reliable operation of modern power systems. In this paper, two methods, (i) Particle Swarm Optimization (PSO) based Support Vector Machine (PSO-SVM) and (ii) Genetic Algorithm (GA) based Support Vector Machine (GA-SVM) is proposed for online voltage stability monitoring of distribution system. The optimal values of SVM parameters are obtained using PSO and GA algorithms. Comparison between proposed PSO-SVM and GA-SVM model are investigated on IEEE 33-bus radial distribution system. The results show that the PSO-SVM model for online voltage stability monitoring is more precise than GA-SVM.

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