Improvement of power system transient stability by two control methods: Study and simulation

Using FACTS systems is one of the latest methods which has been used to improve transient stability of power systems during recent years. These flexible systems have been major determinant of transient stability improvement by power swing damping. There are numerous suggested control methods for UPFC control. In this paper we will consider and compare two neural network control methods which are based on H
∞
learning method and discrete control method. These control methods are implemented on both single-machine and multi-machine systems. The results of simulation showed that RBFNN has better performance in domain and swing reduction by far and can be used as an appropriate option in real time calculations.