Time–time‐transform‐based fault location algorithm for three‐terminal transmission lines

Fast transient‐based detection of busbar faults employing improved morphological gradient

“…In contrast with the wavelet transform in [5, 9, 17, 18], S transform in [8] and time‐time transform [22], the type of computation required in MM includes only addition, subtraction, maximum, and minimum operations without any multiplication and/or division [23–25]. Therefore, the proposed IMG in this study has a much lower computation burden and feasibility of implementation.…”

Travelling waves‐based identification of sub‐health condition of feeders in power distribution system

“…Although in many utilities, the health status of power distribution feeders in operation is simply classified as 'health' or 'failure', previous research over the last two decades has demonstrated that many power system components would fail over an extended period of time, and some detectable electrical signatures would produce in the process of failing [1][2][3][4][5][6][7][8][9]. In general, natural degradation of feeders will accompany with the insulation deterioration.…”

“…Nevertheless, the research focuses on using low-frequency electrical information compared with travelling waves information, like power-frequency voltages and currents. However, actually traveling wave information has already been utilised for many purposes in power system, like travelling wave fault location and travelling wave protection [9][10][11]. These applications have performed well in transmission system.…”

Accurate fault location and faulted section determination based on deep learning for a parallel‐compensated three‐terminal transmission line

“…However, the fault location task is more complicated in multiterminal lines because of the effect of the signals in line sections without fault on the signals of the faulted one [20][21][22]. The fault location methods in multi-terminal transmission lines are extended forms of the two-terminal schemes, including phasor-based [23][24][25], transient-based [23,[26][27][28] and intelligence-based algorithms [28]. In [23], a combination of phasor-based and transient-based methods is applied for locating fault occurrence in teed-feeders utilising wavelet transform.…”