Adaptive Single Phase Autoreclosing Scheme for EHV Transmission Line
编号:108 访问权限:仅限参会人 更新:2020-11-11 12:09:38 浏览:144次 口头报告

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摘要
Efficient protection system plays a vital role in power system stability by detecting and eliminating the faults quickly on overhead transmission lines. Temporary fault is the most frequent fault type that appears on high voltage (HV) and extra high voltage (EHV) lines which are followed by secondary arcs. Consequently adaptive single phase autorecloser (ASPAR) is the need of the time to get rid of temporary faults. Continuous wavelet transform (CWT) with fast Fourier transform (FFT) algorithm (CWTFT) is presented in this paper which utilises faulted phase voltage waveform and obtain wavelet coefficients after the circuit breaker isolate the faulty phase. Depending on the energies of the wavelet coefficients, a threshold is defined. In case of a transient fault, the coefficient energies exceeds the threshold level after the arc extinction and are well recognised by the proposed algorithm. This fact is used to initiate a safest reclosing in case of a temporary fault otherwise autoreclosing will be blocked. To appraise the efficiency of the presented algorithm, laborious simulations have been performed for a diversity of fault conditions i.e. at different fault locations, load angles and fault resistance, where in all cases, maximum consistency has been achieved.
关键词
EHV transmission line,continous wavelet transform,autoreclosing
报告人
Waqar Ahmad Khan
State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, P. R. China.

稿件作者
Waqar Ahmad Khan State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, P. R. China.
Tianshu Bi State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, P. R. China.
Jia Ke State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, P. R. China.
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重要日期
  • 会议日期

    10月21日

    2019

    10月24日

    2019

  • 10月13日 2019

    摘要录用通知日期

  • 10月13日 2019

    初稿截稿日期

  • 10月14日 2019

    初稿录用通知日期

  • 10月24日 2019

    注册截止日期

  • 10月29日 2019

    终稿截稿日期

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Xi'an Jiaotong University
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