Power System Harmonics Identification Powered by an Eigensystem Realization Approach
Keywords:
Eigensystem realization algorithm, system identification, filter bank frequency response, power quality, total harmonic distortionAbstract
The proliferation of power electronic devices through the massive integration of renewable energy sources on the small and medium scales in power systems has unleashed high harmonic distortions visible in electrical variables such as voltages and currents. Besides the deteriorating power quality, this fact also imposes challenges in quantifying power quality indicators, advocating novel approaches that deal with this issue. In this context, this paper counteracts such challenges by proposing a strategy to effectively measure the individual and total harmonic distortions in modern power grids. The proposal conceives the well-known system identification technique, the eigensystem realization algorithm, as a filter bank to extract the harmonic components from actual measurements and simulated data. Simulation results of two test systems confirm the effectiveness of the proposed method in attaining reliable estimates for the power system transient harmonics, inter-harmonics, and sub-harmonics. Furthermore, actual measurements corresponding to the energizing of a bank of three single-phase transformers connected in grounded Wye-Delta in an isolated lab-scale system are used. The well-known fast Fourier transform (FFT) approach is also applied to validate the proposition, resulting in the proposed ERA-based method is up to 50 times more precise in some cases than FFT.
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