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FUTURE TRENDS IN SWITCHGEAR TECHNOLOGY IOT BASED

Mr. Jaybhaye Sumit R Jaybhaye Sumit R

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Paper Contents

Abstract

Switchgear technology is providing insuring the safe and efficient distribution of electrical energy making advancement in this filed essential for this filed essential for the reliability of power system. The future trend in switchgear technology is drive by the repaid evolution of energy of need Digitalized. Distribution efforts and integration of renewable energy sours Key development includes the adoption of eco-friendly insulation and switchgear that reduces greenhouse gas emissions. A significant shift from trading sulfur hexafluoride (sf6) based system Additionally the rise of digital switchgear equipment with smart sensor and lot capabilities enable real time monitoring. Predictive maintenance. And enhanced faulty determine. Significance improving operation efficiency and safety keep pace with global energy efficiency trends and, in particular, emission reduction targets in the maritime sector, both onshore and maritime power distribution systems need to be adapted to the relevant new technologies and concepts. As an important link in the distribution chain, medium voltage switchgear (MV) is expected to be stable and reliable while operating as efficiently as possible. Failures of MV equipment, while rare because the equipment must be safe to handle and use, have far-reaching consequences. The consequences of such failures, whether to the shore or marine power system, present risks to the entire power plant, so an accurate assessment of equipment condition is required to identify potential failures early. The solution is an emerging concept of digital switchgear, where the implementation of sensor technology and communication protocols enables effective condition monitoring, and the creation of a database that, when combined with machine learning algorithms, enables predictive maintenance andor fault detection. This paper presents, step by step, the previous challenges, the current research (divided into predictive maintenance, condition monitoring, and fault detection categories)

Copyright

Copyright © 2025 Mr. Jaybhaye Sumit R . This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50200012313
ISSN: 2321-9653
Publisher: ijprems
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