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.
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