Abstract

The excessive use of semiconductor components in the grid brings great challenges to the power quality of the grid. It is quite significant to estimate the harmonic parameters of multiple harmonic sources in power quality evaluation. The existing methods of estimating harmonic parameters are based on the known phase values of harmonic voltage and harmonic current. However, it is very difficult to measure the phase information of harmonic voltage and harmonic current in practice. The phase of artificial structure will inevitably cause uncontrollable errors. Based on the linear regression model, this paper deduced a mathematical model for estimating harmonic parameters in power system by using the phase difference between the harmonic voltage at PCC point and each feeder current including the amplitude of them. Compared with other methods, the method proposed in this paper could estimate harmonic parameters without the phase information of harmonic voltage and harmonic current, which solved the problem that harmonic parameters cannot be accurately estimated due to the difficulty of measuring phase information. The analysis results of the measured data verify the effectiveness of the method.

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