On-line Optimal Shunt Capacitors Dispatch of Peak Power Systems

This paper is proposed an on-line optimal shunt capacity dispatch of a transmission system. Firstly, the genetic algorithm is applied to do the optimal reactive power dispatch in order to control the buses voltages within the safety margins for peak power system. Simulation results show that the GA obtains the good performances on the power system. For the on-line dispatch, the artificial neural network is applied to learn the dispatch strategy by GA, and the data-reduction skill is used with principal component analysis. It can decrease the number of input and increase the speed of the artificial neural network to achieve on-line dispatch. The practical power system is simulated and received the excellent results