Pattern Recognition of Power System Voltage Stability : Statistical and Algorithmic methods of Pattern Recognition

In recent years, power demands around the world and particularly in North America increased rapidly due to increase in customer's demand, while the development in transmission system is rather slow. This stresses the present transmission system and voltage stability becomes an important issue in this regard. Pattern recognition in conjunction with voltage stability analysis could be an effective tool to solve this problem In this thesis, a methodology to detect the voltage stability ahead of time is presented. This gives the operators a chance to take remedial actions and possibility to prevent the voltage collapse. Dynamic simulation software is used to simulate voltage stable and unstable cases, these cases are used to train and test the pattern recognition algorithms. The proposed method is tested on IEEE 39 bus system. Finally, the pattern recognition models to predict the voltage stability of the system are developed.