A. Alkandari et al., DIGITAL DYNAMIC IDENTIFICATION OF POWER-SYSTEM SUBHARMONICS BASED ON THE LEAST ABSOLUTE VALUE, Electric power systems research, 28(2), 1993, pp. 99-104
This paper presents a novel dynamic technique for identifying and meas
uring power system subharmonics. The proposed technique is based on th
e weighted least absolute value. The parameters to be measured are the
magnitude, the rate of decay and the frequency of these subharmonics.
The identification process is split into two subproblems. In the firs
t problem, the harmonic contents of the voltage or current waveform ar
e identified, after which the reconstructed waveform and the error in
the waveform, which is the difference between the actual and the recon
structed waveform, can be obtained. In the second problem, this error
is analyzed to identify the subharmonics. Finally, the final error is
obtained by subtracting the combination of the harmonic and the subhar
monic contents, the total reconstructed waveform, from the actual wave
form. It has been shown that by identifying these subharmonics the fin
al error is reduced greatly. In this paper, the results obtained using
the proposed algorithm are compared with that obtained using the well
-known Kalman filtering algorithm. The features of the proposed algori
thm are also, discussed.