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Monitoring Harmonic Sources in Distribution System by Neural Network Estimator

A method is proposed for monitoring harmonic voltage magnitudes in radial power distribution system with nonlinear loads. This approach permits harmonic identification in the system by a measuring instrument installed on the main feeder. It is shown that an artificial neural network trained on the system simulated data can be used to monitoring harmonic voltage magnitudes.