Prediction method for preventing reclosing on permanent fault of shunt compensated EHV/UHV transmission lines

Wang, Zengping; Haofang, Liu; Xu, Yan; Ma, Jing; Liu, Junling

doi:10.1109/pes.2006.1709611

Cited by 10 publications

(2 citation statements)

References 3 publications

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“…It can determine the moment of secondary arc extinction. It can define an optimum reclosure time [22]. It cannot be affected by varying power system operating conditions.…”

Section: Adaptive Autoreclosurementioning

confidence: 99%

“…Moreover when the index has a zero value in case of temporary faults, it is an indication of secondary arc quenching. Reactor compensated transmission lines are also discussed in this paper due to their swing effect on the faulted phase voltages [22,39]. This technique is suitable for both reactor compensated and uncompensated transmission lines.…”

Section: Time-frequency Domain Analysis Basedmentioning

confidence: 99%

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A review of single phase adaptive auto-reclosing schemes for EHV transmission lines

Khan

2019

Prot Control Mod Power Syst

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Statistics shows that transients produced by lightning or momentary links with external objects, have produced more than 80% of faults in overhead lines. Reclosing of circuit breaker (CB) after a pre-defined dead time is very common however reclosing onto permanent faults may damage the power system stability and aggravate severe damage to the system. Thus, adaptive single-phase auto-reclosing (ASPAR) based on investigating existing electrical signals has fascinated engineers and researchers. An ASPAR blocks CB reclosing onto permanent faults and allows reclosing permission once secondary arc is quenched. To address the subject, there have been many ASPARs techniques proposed based on the features trapped in a faulty phase. This paper presents a critical survey of adaptive auto-reclosing schemes that have hitherto been applied to EHV transmission lines.

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“…It can determine the moment of secondary arc extinction. It can define an optimum reclosure time [22]. It cannot be affected by varying power system operating conditions.…”

Section: Adaptive Autoreclosurementioning

confidence: 99%

Section: Time-frequency Domain Analysis Basedmentioning

confidence: 99%