A Systematic Review for Switchgear Asset Management in Power Grids: Condition Monitoring, Health Assessment, and Maintenance Strategy

Zhou, Nan; Xu, Yan; Cho, Sungin; Wee, Cheng Tian

doi:10.1109/tpwrd.2023.3272883

Cited by 7 publications

(3 citation statements)

References 91 publications

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“…Assessing the health of switchgears is critical, as degraded equipment poses threats to grid security and reliability [6]. Numerous studies, including [7][8][9][10], explore various aspects of switchgear health assessment, using methods from contact resistance measurement to vibration signal analysis and partial discharge measurement.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Operational Reliability of Different Types of Switching Substations Using the Monte Carlo Method

Pranjić,

Virtič

2024

Energies

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This study investigates the operational reliability of different types of switching substations within the context of power systems, employing the Monte Carlo method for analysis. The research focuses on evaluating the reliability of high-voltage substations, including single-busbar systems, double-busbar systems, and switchgears with a ring-type power supply. By conducting simulations and analyzing statistical data on device reliability, the study aims to identify the most reliable implementation of switching substations. The results are presented through graphical representations and comparative tables, highlighting the impact of factors such as the number of switching elements and their connection on operational reliability. The findings indicate that configurations with a greater number of busbars and a parallel connection of switching elements exhibit higher operational reliability. The study provides insights to inform decision-making in the construction of new switching substations, emphasizing the importance of stable operation within power systems.

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Section: Introductionmentioning

confidence: 99%

“…Energies 2024, 17, 3142 2 of 22 Moreover, Ref. [6] provides insights into switchgear asset management within power grids, highlighting condition monitoring indicators and methodologies for health index assessment. Additionally, Ref.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Operational Reliability of Different Types of Switching Substations Using the Monte Carlo Method

Pranjić,

Virtič

2024

Energies

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“…Among them, the analysis of partial discharge signals has become a crucial basis for switchgear status assessment (Yumbe et al, 2013;Janssen et al, 2014). Based on this, scholars from both China and abroad have successively proposed classic switchgear status assessment methods such as the Key Gas Method (KGM) (Razi-Kazemi and Niayesh, 2021), IEC Ratio Method (IRM) (Zhou et al, 2023), and Duval Triangle Method (DTM) (Liang et al, 2009). However, these methods are based on knowledge accumulated over a long period and have inherent limitations, making it difficult to guarantee the accuracy of status assessment.…”

Section: Introductionmentioning

confidence: 99%

A novel switchgear state assessment framework based on improved fuzzy C-means clustering method with deep belief network

Xiao,

Guo,

Yang

et al. 2023

Front. Energy Res.

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Due to the problems such as fuzzy state assessment grading boundaries, the recognition accuracy is low when using traditional fuzzy techniques to grade the switchgear state. To address this problem, this paper proposes a switchgear state assessment and grading method based on deep belief network (DBN) and improved fuzzy C-means clustering (IFCM). Firstly, the switchgear state information data are processed by normalization method; then the feature parameters are extracted from the switchgear state information data by using DBN, and finally the extracted feature parameters are categorised according to the condition of switchgear equipment through clustering using IFCM. The experimental results show that the accuracy of the method in assessing the switchgear state under small sample conditions reaches 94, which exceeds the accuracy of other switchgear state assessment grading methods currently in use.

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The Optimal Scheduling of Maintenance and Replacement of Power Transformers: A Risk Based Method

Zhou,

Ma,

Luo

2024

2024 9th Asia Conference on Power and Electrical Engineering (ACPEE)

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A Systematic Review for Switchgear Asset Management in Power Grids: Condition Monitoring, Health Assessment, and Maintenance Strategy

Cited by 7 publications

References 91 publications

Analysis of the Operational Reliability of Different Types of Switching Substations Using the Monte Carlo Method

Analysis of the Operational Reliability of Different Types of Switching Substations Using the Monte Carlo Method

A novel switchgear state assessment framework based on improved fuzzy C-means clustering method with deep belief network

The Optimal Scheduling of Maintenance and Replacement of Power Transformers: A Risk Based Method

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