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A Fast Protection Scheme for TCSC Compensated Transmission Line Using Wavelet-Alienation-Neural Technique
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  • Bhuvnesh Rathore,
  • Amit Gangwar,
  • Om Prakash Mahela,
  • baseem khan,
  • Sanjeevikumar *Padmanaban
Bhuvnesh Rathore
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Amit Gangwar
Government Engineering College Jhalawar
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Om Prakash Mahela
Indian Inst Technol
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baseem khan
Hawassa University
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Sanjeevikumar *Padmanaban
Aarhus Universitet Science and Technology
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This paper proposes a security algorithm based on thewavelet-alienation-neural technique for detecting, classifying, and locating faults on Thyristor-Controlled Series compensator (TCSC) compensated lines. A fault index has been calculated using wavelet transform and alienation coefficients with post-fault current signals measured/ sampled for quarter cycle time at both near and far end buses for fault detection and classification. The location of the fault is predicted using an Artificial Neural Network (ANN) after the fault has been diagnosed. Approximate coefficients (quarter cycle time) of both voltage and current signals, from both buses, were provided as input to ANN. Various case studies, such as variations in TCSC position, fault location, sampling frequency, power flow path, incipient angle of fault, TCSC control strategy, fault resistance, and load switching conditions, have verified the robustness of the proposed safety system.

Peer review status:UNDER REVIEW

01 May 2021Submitted to Engineering Reports
05 May 2021Assigned to Editor
05 May 2021Submission Checks Completed
11 May 2021Reviewer(s) Assigned