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Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids

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Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Vidyut Bhawan, Japur 302005, India
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Department of Electrical Engineering, Vedant College of Engineering & Technology, Bundi 323021, India
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Department of Electrical and Computer Engineering, Hawssa University, Hawassa-5, Ethiopia
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Department of Electrical Engineering, Faculty of Engineering and Architecture, J.N.V. University, Jodhpur 342011, India
*
Author to whom correspondence should be addressed.
Academic Editors: Tiziana Guzzo, Patrizia Grifoni and Fernando Ferri
Informatics 2021, 8(2), 21; https://doi.org/10.3390/informatics8020021
Received: 17 February 2021 / Revised: 21 March 2021 / Accepted: 22 March 2021 / Published: 25 March 2021
(This article belongs to the Special Issue Digitalisation, Green Deal and Sustainability)
This paper has introduced an algorithm for the identification of islanding events in the remotely located distribution grid with renewable energy (RE) sources using the voltage signals. Voltage signal is processed using Stockwell transform (ST) to compute the median-based islanding recognition factor (MIRF). The rate of change in the root mean square (RMS) voltage is computed by differentiating the RMS voltage with respect to time to compute the voltage rate of change in islanding recognition factor (VRCIRF). The proposed voltage-based islanding recognition factor (IRFV) is computed by multiplying the MIRF and VRCIRF element to element. The islanding event is discriminated from the faulty and operational events using the simple decision rules using the peak magnitude of IRFV by comparing peak magnitude of IRFV with pre-set threshold values. The proposed islanding detection method (IDM) effectively identified the islanding events in the presence of solar energy, wind energy and simultaneous presence of both wind and solar energy at a fast rate in a time period of less than 0.05 cycles compared to the voltage change rate (ROCOV) and frequency change rate (ROCOF) IDM that detects the islanding event in a time period of 0.25 to 0.5 cycles. This IDM provides a minimum non-detection zone (NDZ). This IDM efficiently discriminated the islanding events from the faulty and switching events. The proposed study is performed on an IEEE-13 bus test system interfaced with renewable energy (RE) generators in a MATLAB/Simulink environment. The performance of the proposed IDM is better compared to methods based on the use of ROCOV, ROCOF and discrete wavelet transform (DWT). View Full-Text
Keywords: distribution grid; islanding event; renewable energy; Stockwell transform distribution grid; islanding event; renewable energy; Stockwell transform
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MDPI and ACS Style

Mahela, O.P.; Sharma, Y.; Ali, S.; Khan, B.; Garg, A.R. Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids. Informatics 2021, 8, 21. https://doi.org/10.3390/informatics8020021

AMA Style

Mahela OP, Sharma Y, Ali S, Khan B, Garg AR. Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids. Informatics. 2021; 8(2):21. https://doi.org/10.3390/informatics8020021

Chicago/Turabian Style

Mahela, Om P., Yagya Sharma, Shoyab Ali, Baseem Khan, and Akhil R. Garg 2021. "Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids" Informatics 8, no. 2: 21. https://doi.org/10.3390/informatics8020021

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