This paper proposes a artificial neural network (ANN) based method for the problem of measuring the actual harmonic current injected into a power system network by three phase nonlinear loads without disconnecting any loads from the network. The ANN directly estimates or identifies the nonlinear admittance (or impedance) of the load by using the measured values of voltage and current waveforms. The output of this ANN is a waveform of the current that the load would have injected into the network if the load had been supplied from a sinusoidal voltage source and is therefore a direct measure of load harmonics.

Meeting Name

21st Annual IEEE Applied Power Electronics Conference and Exposition, 2006. APEC '06


Electrical and Computer Engineering

Keywords and Phrases

Artificial Neural Network; Harmonic Distortion; Load Harmonics; Neural Nets; Nonlinear Admittance; Nonlinear Impedance; Power System Analysis Computing; Power System Harmonics; Power System Network; Three Phase Nonlinear Loads

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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