Design of a New Adaptive Filtering Algorithm Applied to Transmission Line Distance Relays
Date Issued
2005
Date
2005
Author(s)
Su, Heng-Yi
DOI
zh-TW
Abstract
Digital filtering algorithms for distance relays are very critical, because they must save fundamental frequency phasors to be used for a precise and quick estimation of fault location, even with corruption from the decaying dc offset in the current signal.
For the high-speed transmission line distance protection, we present a new adaptive filtering algorithm which uses the fault detector and the fault classification algorithm to determine the inception of a fault and classify the fault types and then uses the phasor estimation algorithm with data windows of appropriate length to estimate fundamental frequency phasors and seen impedances. This new adaptive filtering algorithm which does not only remove the decaying dc offset but also attenuate the effect of the noise in the current signal.
The robustness of this new adaptive filtering algorithm is tested using a real model power system by MATLAB. The performance of this new adaptive filtering algorithm is compared with the full-cycle Discrete Fourier Transform+mimic filter. Some results are reported in this thesis. These results indicate that the new adaptive filtering algorithm provides better performance than the full-cycle Discrete Fourier Transform+mimic filter.
Subjects
直流衰減偏移成分
測距保護
離散傅立葉轉換
輸電線
Decaying dc offset
distance protection
Discrete Fourier Transform
Transmission line
Type
thesis
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