一种基于自适应神经网络的谐波电流检测方法的仿真

ctive Power Filter (APF)’s performance is dependent on its harmonic current detection method to a large extent. In this paper, a harmonic current detection method based on adaptive neural networks is introduced. This method can detect harmonic current fast and accurately, It could well make up the shortage of the methods based on FFT, the instantaneous reactive power theory and the wavelets transformation. The concept is according to the principle of adaptive noise cancelling technology, filtering the fundamental wave current from the load current, so the left component is harmonic current. Firstly, the theory of the harmonic current detection method is clarified, and then the simulation with MATLAB/Simulink is done. The result verified that the method can detect harmonic current accurately and fast, and it can be used as the harmonic current detection algorithm of APF.