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Risk Assessment Framework for Power Circuit Breakers Based on Condition, Replacement, and Criticality Indices

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  • Suphon Kumpalavalee

    (Electrical and Software Systems Engineering Program, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Thanapong Suwanasri

    (Electrical and Software Systems Engineering Program, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Cattareeya Suwanasri

    (Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Rattanakorn Phadungthin

    (Department of Electronics Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

Abstract

This paper develops a comprehensive framework for the risk assessment of 115 kV power circuit breakers (PCBs) by evaluating their condition, replacement needs, and criticality to the electrical network. The primary objective is to create a risk assessment tool that enhances maintenance practices and improves operational efficiency. The framework begins with a condition assessment, quantified through the use of a health index, derived from historical diagnostic test results and routine checks. The next step involves a replacement assessment, using a replacement index that considers factors such as age, rating adequacy, and technological obsolescence to determine the necessity of replacement. Finally, a criticality assessment is performed using a criticality index, which evaluates the PCB’s role in the network by factoring in location, load importance, failure severity, and the consequences of failure on network operations. By integrating these indices, the framework offers a holistic view of the associated risks. The methodology is applied to assess the risk of 149 sample PCBs across 30 substations in Thailand, with relevant data collected for each unit. The resulting risk assessments support proactive maintenance, minimize downtime, optimize the allocation of limited resources, and enhance the overall efficiency, reliability, and safety of the electrical network.

Suggested Citation

  • Suphon Kumpalavalee & Thanapong Suwanasri & Cattareeya Suwanasri & Rattanakorn Phadungthin, 2025. "Risk Assessment Framework for Power Circuit Breakers Based on Condition, Replacement, and Criticality Indices," Energies, MDPI, vol. 18(13), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3298-:d:1686016
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    References listed on IDEAS

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    1. Ali Namazian & Siamak Haji Yakhchali & Vahidreza Yousefi & Jolanta Tamošaitienė, 2019. "Combining Monte Carlo Simulation and Bayesian Networks Methods for Assessing Completion Time of Projects under Risk," IJERPH, MDPI, vol. 16(24), pages 1-19, December.
    2. Woo-Young Lee & Jang-Un Jun & Ho-Seok Oh & Jun-Kyu Park & Yeon-Ho Oh & Ki-Dong Song & Hyun-Jae Jang, 2020. "Comparison of the Interrupting Capability of Gas Circuit Breaker According to SF 6 , g 3 , and CO 2 /O 2 Mixture," Energies, MDPI, vol. 13(23), pages 1-11, December.
    3. Gunjan, Shashi Bhushan & Srinivasu, D.S. & N, Ramesh Babu, 2025. "A new approach for product reliability prediction by considering the production factory lifecycle information," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
    4. Lisheng Li & Bin Wang & Yang Liu & Haidong Yu & Shidong Zhang & Min Huang, 2023. "Early Detection of Health Condition Degradation of Circuit Breaker Based on Electrical Quantity Monitoring," Energies, MDPI, vol. 16(14), pages 1-15, July.
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