Transmission Line Single Phase Auto Re-closing Scheme Based on Wavelet Transform and Adaptive Fuzzy Neuro Inference System

Khorashadi-Zadeh, H.; Li, Zuyi

doi:10.1109/naps.2007.4402284

Cited by 7 publications

(7 citation statements)

References 15 publications

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“…The parameters were tuned using fuzzification and stabilized during failed reclosing. A reclosing algorithm based on an adaptive neural fuzzy inference system (ANFIS) and WT was proposed [98].…”

Section: Figure 6 Working Principle Of Ai Schemesmentioning

confidence: 99%

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

et al. 2021

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The integration of distributed generators has changed the paradigm of modern power transmission systems. To cope with energy demands, electrical networks emphasize the efficient utilization of power transmission. Thus, high-voltage DC (HVDC) and hybrid (AC/DC) transmission systems are also getting attention owing to their high efficiency in addition to the widely adopted high-voltage AC (HVAC) systems. Most faults in the bulk of transmission lines are temporary or intermittent. Auto-reclosing schemes can be used to prevent these faults. However, conventional auto-reclosing schemes based on constant dead time cannot recognize the fault nature within the assigned duration. Consequently, the accuracy of power grids can be compromised. Therefore, adaptive auto-reclosing schemes are convenient for overcoming the issues caused by the rapid restoration of faulty power lines. This can enhance system reliability and avoid power failures and blackouts. This study is based on a systematic, detailed, and thorough research review of the existing auto-reclosing schemes in all three power transmission lines, i.e., AC, DC, and hybrid (AC/DC). Subsequently, a critical analysis has been performed to assess the pros and cons of each existing adaptive auto-reclosing scheme. Finally, future recommendations are presented to improve adaptive auto-reclosing schemes in each medium.

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Section: Figure 6 Working Principle Of Ai Schemesmentioning

confidence: 99%

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

et al. 2021

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“…Wavelet transform (WT) and adaptive fuzzy neuro inference (ANFIS) based adaptive autoreclosing scheme is presented in [40]. ANFIS is an efficient pattern classifier based on its training [41].…”

Section: Time-frequency Domain Analysis Basedmentioning

confidence: 99%

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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“…However, when using single-pole operation considerations concerning asymmetrical operation of generators have to be made since negative-sequence currents are flowing during the fault. In addition to above techniques, auto re-closing of the breaker can contribute to improve the transient stability by re-establishing the transmission reactance and, thus, increase transmission capacity in post-fault conditions [13,63,64]. The re-closing time has a major impact on the stability and research has been done on determining the optimal time for re-closure of the circuit breaker [65,66].…”

Section: High Speed Circuit Breaker Single-pole Operation Auto Re-cmentioning

confidence: 99%

Transient stability improvement: a review and comparison of conventional and renewable-based techniques for preventive and emergency control

et al. 2017

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Transmission Line Single Phase Auto Re-closing Scheme Based on Wavelet Transform and Adaptive Fuzzy Neuro Inference System

Cited by 7 publications

References 15 publications

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

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

Transient stability improvement: a review and comparison of conventional and renewable-based techniques for preventive and emergency control

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