Study on high capability intelligent algotrithm in load flow of power system

Power flow calculation is the most important and basic calculation in power system. This calculation is not only a very important calculation to seize power system planning and operation of the system state, but also a very important calculation for the analytical systems such as the stability index. The algorithm is usually Newton-Larfson , the P-Q algorithm, etc. However, the traditional methods of power system, with unknown parameters expended in Exponential increase becomes complex and make the Power system more difficult to create a mathematical model and solution. In this paper, a kind of traditional BP neural network algorithm with the parallel computing function was firstly recommended for the simulation of the flow calculation ;and then another kind of high-order BP neural network was recommended for the simulation, and the result shows that the algorithm can effectively resolve the difficulties of traditional modeling algorithm, and high calculating cost, and the poor in real-time.