Harmonic Source Identification Methods

OData support
Dr. Raisz Dávid Márk
Department of Electric Power Engineering

The quality of electric energy distribution systems can be influenced considerably if big (e.g. industrial) consumers feed back harmonics. The spreading of harmonic current in distribution systems causes the formation of voltage harmonics on bus bars, which can cause problems both in electric supply system and within the facility.

In the case of several significant harmonic sources it could be an important task to establish the placement/distribution and size of the sources on the basis of network measurements in order to determine the deterioration of voltage quality among others.

A large number of English publications connected to the topic have been written, but during their study it became obvious that most of them are too difficult to be utilized under the expected conditions.

Only one method has been found that meets the expectations. It is the so-called „monoparameter variation” method devised by Dr. András Dán, DSc. professor of the Dept. of Electrical Power Engineering, BME.

The utility companies should provide the acceptable harmonic distortion value added by a non-linear consumer. It is necessary because the voltage of the systems cannot exceed the compatibility voltage distortion levels given by the EN 50160 standard.

So the utility companies need an identification method which is suitable for the determination of the voltage distortion actual value caused by the measured branches from the collected data in compliance with the standard.

This method is suitable not only for the identification of dominant or approximately dominant disturbance source but it is effective in a general case with background noise; and it does not interfere with consumers’ technology, does not require enforced switchings.

My task was to simulate a chosen method using the measurement data of a system. I evaluated the received results and based on this I was able to draw conclusions about the advantages and utilization of the method.


Please sign in to download the files of this thesis.