Department of Business Development and Technology

Estimation of Islanding Events in Utility Distribution Grid with Renewable Energy Using Current Variations and Stockwell Transform

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Om Prakash Mahela, Rajasthan Rajya Vidyut Prasaran Nigam Ltd.
  • ,
  • Yagya Sharma, Rajasthan Technical University
  • ,
  • Shoyab Ali, Rajasthan Technical University
  • ,
  • Baseem Khan, Hawassa University
  • ,
  • Sanjeevikumar Padmanaban

This research work has designed an algorithm to identify islanding events using the current signals in a distribution grid interfaced with renewable energy (RE) sources situated in remote areas. A median-based islanding recognition factor (MIRF) is designed by processing the current signal using Stockwell transform (ST). A current rate of change of islanding recognition factor (CRCIRF) is computed by differentiating the root mean square (RMS) current concerning time. The MIRF and CRCIRF are multiplied element by element to calculate the current-based islanding recognition factor (IRFC) used to recognize islanding events and non-islanding events. Simple decision rules are used to discriminate Islanding events from the faulty and the operational events by comparing peak magnitude of IRFC with pre-set threshold values. This IDM effectively recognizes islanding events in the presence of noise with 10 dB signal-to-noise ratio (SNR) level. The performance of IDM is established on a practical distribution feeder. Developed work is executed in MATLAB/Simulink.

Original languageEnglish
JournalIEEE Access
Pages (from-to)69798-69813
Number of pages16
Publication statusPublished - May 2021

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Copyright 2021 Elsevier B.V., All rights reserved.

    Research areas

  • Distribution grid, islanding event, renewable energy, Stockwell transform

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