The Research Of Monitoring Harmonics In Power System By Artificial Neural Network

Wave recognition by artificial neural network is a new research field. In order to monitor the power system's harmonics with new method, the neural network (NN) approach was introduced.It is necessary to monitor the power system's harmonics because the harmonics do harm to power system. In this paper, we analyze three kinds of typical harmonics in power system. The main method of monitoring of high harmonics is depicted. In addition, the new approach of Artificial Neural Network (ANN) for measuring harmonics on-line is proposed, and the simulation results showed that it is superior to other existing methods. .A new model about measuring harmonics on-line is proposed in this paper. After band pass filtering, sampling storage and the monitoring on-line with artificial neural network (ANN), we can obtain the harmonics signal, which is used to compensate harmonics. Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built. In the first application, this thesis discusses the back propagation(BP) algorithm and its modified forms in great detail, and its successful application in monitoring high harmonics (3,5,7). Using the basic principles of analog parallel harmonics measurement and special multi-layer feedforward neural network, the corresponding harmonics measurement on-line is built. Also, the configuration of this Neural Network and the algorithm and the procedure for training the measurement network are given, and the forming of the training samples is indicated. The simulation results prove the approach effective and correct.