Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/172733
Title: | A systematic review for switchgear asset management in power grids: condition monitoring, health assessment, and maintenance strategy | Authors: | Zhou, Nan Xu, Yan Cho, Sungin Wee, Cheng Tian |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2023 | Source: | Zhou, N., Xu, Y., Cho, S. & Wee, C. T. (2023). A systematic review for switchgear asset management in power grids: condition monitoring, health assessment, and maintenance strategy. IEEE Transactions On Power Delivery, 38(5), 3296-3311. https://dx.doi.org/10.1109/TPWRD.2023.3272883 | Project: | EMA-EP010-SNJL-001 | Journal: | IEEE Transactions on Power Delivery | Abstract: | Asset management process and techniques can improve the cost-efficiency, balance the cost and risk, and prolong the service life of the aging switchgears in power grids, which have become increasingly important for electric utilities. This paper provides an insight into the recent developments in switchgear asset management and explore future research stream. Accordingly, three directions: condition monitoring, health assessment, and maintenance strategy have been addressed. We first present switchgear condition monitoring indicators and condition evaluation methods utilizing these condition data. Subsequently, we explain health index methodologies to achieve switchgear health assessment and remaining useful life estimation. With these results, we then present the maintenance strategy and life cycle cost optimization methods to address cost-efficient decision making. Finally, the limitation of existing methods and future research trend are discussed. This paper covers various asset management domains, attempting to create a common understanding and fill the gaps among the academic, industry, and technology area. | URI: | https://hdl.handle.net/10356/172733 | ISSN: | 0885-8977 | DOI: | 10.1109/TPWRD.2023.3272883 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2023 IEEE. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
SCOPUSTM
Citations
20
17
Updated on May 2, 2025
Page view(s)
136
Updated on May 5, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.