On-Line Static Security Assessment of Power System Based on a New Half-Against-Half Multi-Class Support Vector Machine

Power system static security assessment is one of the most important problems which relate power system secure-stable performance. Static security can be rapidly assessed using the artificial intelligence technology. This paper compares the advantages and disadvantages of Artificial Neural Network (ANN) and Support Vector Machines (SVM) and then selects the SVM algorithm. A new multi-classification method based on Half-Against-Half (HAH) SVM has been proposed in this article. The proposed HAH-SVM algorithm has been applied to IEEE 57-bus power system. The simulation results demonstrate the effectiveness of the proposed algorithm.