Improving the dynamic stability by VSC STATCOM power system based Artificial neural networks

In recent years to keep pace with development of power networks and increase of demand for consumption, power of these systems operate an unstable boundary .Nowadays Because it has controling characteristic, FACTS instrument can avoid construction of new lines and is efficient in improving the sustain ability of power systems .In this article studied the impact of static Synchronous Compensator based on the Artificial Neural Network ( ANN VSC STATCOM) with the Back propagation algorithm onto the sustain ability and the sync Synchronous of power system including of Synchronous machines and infinity bus. In this direction initially achieve the dynamic modeling of power system and entire system provided at the transition space equations, Then estimated the one neural identifier action of the power system under studing.In addition one controller of damping that be trained with the help of neural identifier has been used towards improving dynamic performance of power system andthe damping volatility. The simulation results in the MATLAB software shows the proper performance of this proposed controller.

Keywords:

The neural identifier , ANN VSC STATCOM , Back- propagation Algorithm