Power system steady-state voltage stability assessment based on support vector machine

To prevent voltage collapse, it is necessary to evaluate the distance of the operation state to the voltage collapse point. This distance is calculated with power flow equations normally.The calculation speed of this technique is slow for power system with high dimension, so it is difficult to realize real-time voltage stability assessment. The application of a fast and reliable evaluation technique is very important to diminish the evaluation time. This paper presents a method of model construction for the power system steady-state voltage stability assessment based on support vector machine (SVM). This method takes full advantage of SVM's ability to solve the problem with high dimension, nonlinear and small sample. Hence better generalization ability is guaranteed, and the model works with the quicker assessment speed and the higher forecast precision. The WSCC 9-bus test system is employed to demonstrate the validity of the proposed approach.