The Study of the Electric Power Harmonics Detecting Method Based on the Immune RBF Neural Network

Nonlinear loads of the power system pour a lot of harmonics into the power network, and the harmonics endanger the power system and the safety of the electric power equipment. The power active wave filter provides a best sufficient method to restrain the harmonics. The key technique of the power active wave filter is the detecting the harmonics. This article makes a good research of astringency of the immune optimization and the bacterin extraction of the immune radial basis function network. It proposes to combine the immune optimization with the RBF neural network, developing a new method which is called the electric power harmonics current detecting method based on the immune RBF neural network. Through the stimulating test, it is proved that this technique has the advantages of learning the speed of the astringent signal rapidly and higher precision. So, it can detect the harmonics of the current timely and precisely in the power network.