2016
DOI: 10.1049/iet-gtd.2015.1078
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Improved digital algorithm for adaptive reclosing for transmission lines with shunt reactors

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Cited by 37 publications
(12 citation statements)
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“…Identification time in Table 3 was defined as the time interval from a fault occurring to TFI conclusion drawing, and reclosing time in Table 3 was defined as the time interval from simulation experiment starting to reclosing command sending. [16] 50 0 70 yes yes [16] 100 0 70 yes yes [16] 0 100 70 no no [16] 50 100 70 yes yes [16] 100 100 70 yes yes [16] 0 0 80 no no [16] 50 0 80 yes yes [16] 100 0 80 yes yes [16] 0 100 80 no no [16] 50 100 80 yes yes [16] 100 100 80 yes yes [22] 0 0 70 no no [22] 50 0 70 yes yes [22] 100 0 70 yes yes [22] 0 100 70 no no [22] 50 100 70 yes yes [22] 100 100 70 yes yes [22] 0 0 80 no no [22] 50 0 80 yes yes [22] 100 0 80 yes yes [22] 0 100 80 no no [22] 50 100 80 yes yes [22] 100 According to the simulation results in Table 3, the following conclusions can be drawn: (i) Validity and feasibility of the proposed TFI method and ASPAR scheme for wind-powered outgoing lines were verified by those twenty-four simulation results in Table 3. (ii) In all those twenty-four circumstances, including different fault locations, transition resistances, and outgoing line compensation rates, the proposed ASPAR scheme can identify transient fault accurately and rapidly (within 0.1 s), and reclose the outgoing line successfully.…”
Section: Simulation Results Of Aspar Scheme For Wind-powered Outgoingmentioning
confidence: 99%
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“…Identification time in Table 3 was defined as the time interval from a fault occurring to TFI conclusion drawing, and reclosing time in Table 3 was defined as the time interval from simulation experiment starting to reclosing command sending. [16] 50 0 70 yes yes [16] 100 0 70 yes yes [16] 0 100 70 no no [16] 50 100 70 yes yes [16] 100 100 70 yes yes [16] 0 0 80 no no [16] 50 0 80 yes yes [16] 100 0 80 yes yes [16] 0 100 80 no no [16] 50 100 80 yes yes [16] 100 100 80 yes yes [22] 0 0 70 no no [22] 50 0 70 yes yes [22] 100 0 70 yes yes [22] 0 100 70 no no [22] 50 100 70 yes yes [22] 100 100 70 yes yes [22] 0 0 80 no no [22] 50 0 80 yes yes [22] 100 0 80 yes yes [22] 0 100 80 no no [22] 50 100 80 yes yes [22] 100 According to the simulation results in Table 3, the following conclusions can be drawn: (i) Validity and feasibility of the proposed TFI method and ASPAR scheme for wind-powered outgoing lines were verified by those twenty-four simulation results in Table 3. (ii) In all those twenty-four circumstances, including different fault locations, transition resistances, and outgoing line compensation rates, the proposed ASPAR scheme can identify transient fault accurately and rapidly (within 0.1 s), and reclose the outgoing line successfully.…”
Section: Simulation Results Of Aspar Scheme For Wind-powered Outgoingmentioning
confidence: 99%
“…According to [16,22] and simulation results shown in Figs. 6-15, Table 2 lists the TFI judgments results of TFI methods in [16,22] and this paper in different fault locations, transition resistances and outgoing line compensation degrees to compare adaptability of these three TFI methods on a same windpowered outgoing lines. Table 2 is a summary of those comparisons depicted in Figs.…”
Section: Comparison Of Two Existing Tfi Methods and The Proposed Tfi mentioning
confidence: 99%
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“…For calculating FFT and DFT of a signal [16,66] on the basis of data acquisition. Some AI techniques are also discussed.…”
Section: N Knmentioning
confidence: 99%
“…TFI methods based on the beat‐frequency phenomenon . These methods notice the emergence of a free‐oscillation component after fault extinction, and existence of this free‐oscillation component can cause obvious difference in both magnitude and spectrum analysis.…”
Section: Introductionmentioning
confidence: 99%