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Research Article | Open Access

Reliability enhancement of distribution networks with remote-controlled switches considering load growth under the effects of hidden failures and component aging

Umesh Agarwal1( )Naveen Jain1Manoj Kumawat2
Department of Electrical Engineering, College of Technology and Engineering, Udaipur, Rajasthan, India
Department of Electronics and Electrical Engineering, National Institute of Technology Delhi, Delhi, India
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Abstract

Over the last decade, automated distribution networks have grown in importance since traditional distribution networks are insufficiently intelligent to meet the growing need for reliable electricity supplies. Because the distribution network is the least reliable and the sole link between the utility and its customers, it is critical to improve its reliability. The remote-controlled switch (RCS) is a viable choice for boosting system reliability. It shortens the interruption period, which also minimizes the expected interruption cost and the amount of energy not served. Using the greedy search algorithm, this research expands the current reliability evaluation technique to include RCSs in distribution networks. The optimal location and numbers of RCSs have been evaluated with compromised cost. This study simultaneously takes into account the effects of load growth on system reliability indices, the impact of age on equipment failure rates and the hidden failure rate of fuses. The Roy Billinton test system's distribution network connected at bus 2 and bus 5 has been used to test the effectiveness of the suggested approach. The outcomes demonstrate that effective RCS deployment improves the radial distribution network's reliability indices significantly.

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AIMS Electronics and Electrical Engineering
Pages 247-264

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Cite this article:
Agarwal U, Jain N, Kumawat M. Reliability enhancement of distribution networks with remote-controlled switches considering load growth under the effects of hidden failures and component aging. AIMS Electronics and Electrical Engineering, 2022, 6(3): 247-264. https://doi.org/10.3934/electreng.2022015

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Received: 14 December 2021
Revised: 08 June 2022
Accepted: 12 June 2022
Published: 15 September 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)