Application of neural network in voltage stability assessment in real-time power market

In recent decades, the operation of the power system under the power market mechanism has been researched and applied by many countries. Voltage stability assessment in realtime power market (spot market) not only ensures safety of the power system but also improves efficiency of power market. The larger power system and the more plants join in the power market, the more research and analysis on voltage stability assessment should be done. This paper proposes a new algorithm of Multi-layer Perceptron (MLP) neural network application into fast voltage stability assessment in the power market (FVSAPM). This paper also put forward FVSA-PM model in real-time power market through the SCADA/EMS. PowerWorld simulator and Matlab software are chosen to build up the calculation program. The test model is based on data of 39-bus IEEE power system.