NETWORKS IN SIMULATION OF FERROMAGNETIC ELEMENTS' MAJOR HYSTERESIS CURVE

The major hysteresis loop of ferromagnetic material is a kind of strong non linear function. To precisely fit the major hysteresis loop is an important topic in the power system transient simulation and it is a new attempt to simulate it by artificial neural network (ANN). Because of the low convergence speed of BP (back propagation) learning algorithm for Feed Forward Neural Network and the weak smoothness in the fitting by Radial Basis Function Neural Network, a new hybrid radial basis function neural network is put forward. The above mentioned disadvantages in the fitting of major hysteresis loop are effectively surmounted. The simulation results show that the presented method can fully satisfy the demand of the power system dynamic simulation.