Harmonic detection by using neural network

A methodology of harmonic detection in active power filter from the power line by using neural network is presented. Harmonic detection by using Fourier transformation is an advantageous method to compensate a specific harmonic component. However, it needs input data for each cycle of the current waveform and needs time for the analysis in each cycle. Therefore, the harmonic compensation will be delayed for more than 2 cycles. This paper proposes a new idea to detect harmonic from a given distorted wave by using the partial association of a multilayer neural network. By providing sequentially the amplitude values of distorted wave to neural network, the context of each harmonic component will be detected to each corresponding unit in output layer. In this paper, the detection of 3rd and 5th harmonic components from the distorted waves has been verified by means of the simulation. As neural network can correctly detect the context of each harmonic, we conclude that the proposed algorithm is available to be used for active power filter