An adaptive fault line selection method based on atomic comprehensive measure values for distribution network

Abstract

Summary In this article, an adaptive fault line selection method based on atomic comprehensive measures for a distribution network is proposed. Firstly, wavelet denoising is introduced to remove the noise contained in the transient zero‐sequence current; then, the matching pursuit algorithm is utilized to decompose the denoising transient zero‐sequence current. Moreover, based on singular value decomposition and information entropy, the atomic singular entropy values are computed, and the actual energy of feature atoms are obtained. Furthermore, according to the fuzzy mathematics, the fault comprehensive measurement function is built. Finally, the line that has the maximum of the fault comprehensive measure value is chosen as the fault line. A large number of simulation experiments and comparing results proved that the proposed method has high selection accuracy and reliability, as well as a powerful ability to resist noise.

Fault line detection method based on the improved SVD de‐noising and ideal clustering curve for distribution networks

“…An adaptive fault line selection method based on atomic comprehensive measure is proposed in [28], the selection processes are: the MP algorithm is introduced to decompose the TZSC, and then the fault comprehensive measurement function is built. At last, the line which has the maximum of fault comprehensive measure value is chosen as the fault line.…”

Influence of wavelet characteristics on single-phase grounding fault line selection

“…Because the wavelet function is not unique, different literatures use different wavelets at present. Literature [11] uses sym6 wavelet, Literature [12] uses DB4 wavelet, Literature [13] uses db5, and Literature [14] uses cubic B-spline function. However, these literatures do not deeply study the influence of wavelet characteristics on line selection results and do not explain the specific selection principles.…”

Faulty line detection method based on B-spline bistable denoising for distribution network

“…This noise can degrade the effectiveness of faulty current waveform detection. So, it is necessary to conduct how to decrease the noise influence on faulty current detection …”

“…So, it is necessary to conduct how to decrease the noise influence on faulty current detection. 2,3 At present, as for faulty line detection, scholars have done a lot of work. Liu et al 4 and Wang et al 5 detect faulty line based on controlling arc suppression coil, which needs additional signal device.…”