This paper briefly introduces a newly developed method of the Rate Conservation Law(RCL), which is based upon the steady point process and the palm distribution theory, and plays an important role in getting the invariance relations between time and customer processes on their queueing quantities.

This paper presents a new method to define stable balance point and transient limit power of the electricpower system after fault by using the back-propagating artificial neural network.

In this paper, the characteristics of physical stability and unstable equilibrium point are analyzed based on the trajectory of dynamic process to further realize the synchronization stability features in multi-machine power system.

Numerical simulations show that the method can suppress chaos to unstable equilibrium points or unstable periodic orbits(limit cycles) successfully.

An unstable equilibrium point is reached when tracing the curve from a stable equilibrium point.