Maintenance Tasks for 20 Kv Medium-Voltage Switchgear Based on Technical Judgment Experience and Manufacturer
Abstract
A 20 kV medium-voltage switchgear is an important equipment in the electricity system that distributes electricity generated by the 20 kV electric power generator to electricity users. Calor Emag, Merlin Gerin, Alsthom, Fuji, AEG, Schneider, Meidensha, Goldstar, Modalek, Areva, and Siemens are among the companies that make products. This study describes a method for maintaining 20 kV medium-voltage switchgear, an essential equipment in the electricity system. In less technical terms, the failure rate is high at the beginning of an asset's life, which follows the curve of the bathtub. However, the failure rate quickly declines as we identify and discard defective components and eliminate early sources of potential failures, such as installation errors. This study introduces a novel approach by examining the relationship between maintenance tasks, which are based on technical judgment and experiences, and the maintenance tasks provided by the manufacturer for 20 kV medium voltage switchgear. The goal is to develop and deliver the most effective maintenance method for 20 kV medium voltage switchgear, to prevent malfunctions or even catastrophic explosions, while maintaining the lowest possible maintenance costs. Total use of labor over 2 years (24 months) for daily, monthly, 3 monthly, and 2 yearly is 3554-man hours (MH). It provides a comprehensive approach to preventing malfunctions and explosions, resulting in optimal maintenance costs and performance.
References
Aıroboman, A. (2022). Reliability Assessment of Power System Network: A Detailed Review. International Journal of Engineering Technologies IJET, 7(4), 90–103. https://doi.org/10.19072/ijet.952933
Al-Douri, A., Kazantzi, V., Eljack, F. T., Mannan, M. S., & El-Halwagi, M. M. (2020). Mitigation of operational failures via an economic framework of reliability, availability, and maintainability (RAM) during conceptual design. Journal of Loss Prevention in the Process Industries, 67, 104261. https://doi.org/10.1016/j.jlp.2020.104261
Alsumaidaee, Y. A. M., Yaw, C. T., Koh, S. P., Tiong, S. K., Chen, C. P., & Ali, K. (2022). Review of medium-voltage switchgear fault detection in a condition-based monitoring system by using deep learning. Energies, 15(18), 6762. https://doi.org/10.3390/en15186762
Bindi, M., Piccirilli, M. C., Luchetta, A., & Grasso, F. (2023). A comprehensive review of fault diagnosis and prognosis techniques in high voltage and medium voltage electrical power lines. Energies, 16(21), 7317. https://doi.org/10.3390/en16217317
Chennakeshava, R., Niharika Rao, R., Karthik, M., Mohammed, S., & Prajath Mahabala, R. (2021). A Review on Switchgear Analysis and Common Challenges Observed in Switchgear. IJERT, 10, 4.
Chidambaram, N., Ithnin, A. B., Ting, P. S. L., Hoo, K. C., Mohtar, M. S. B., & Azmi, N. A. B. (2022, December). Switchboard Health Assessment and Reliability Program™(SHARP). In 2022 IEEE International Conference on Power and Energy (PECon) (pp. 49-54). IEEE. https://doi.org/10.1109/PECon54459.2022.998897
Faulstich, S., Hahn, B., & Tavner, P. J. (2011). Wind turbine downtime and its importance for offshore deployment. Wind energy, 14(3), 327-337.
Gill, P., Jain, N., & Nagappan, N. (2011, August). Understanding network failures in data centers: measurement, analysis, and implications. In Proceedings of the ACM SIGCOMM 2011 Conference (pp. 350-361). https://doi.org/10.1145/2018436.2018477
Gulati, M. M. (2013). Assessing Industrial Innovation Process and Suggesting Policy Support Framework in India.
Hassan, Y. B., Orabi, M., & Gaafar, M. A. (2023). Failures causes analysis of grid-tie photovoltaic inverters based on faults signatures analysis (FCA-B-FSA). Solar Energy, 262, 111831.
Hoffmann, M. W., Wildermuth, S., Gitzel, R., Boyaci, A., Gebhardt, J., Kaul, H., ... & Tornede, T. (2020). Integration of novel sensors and machine learning for predictive maintenance in medium voltage switchgear to enable the energy and mobility revolutions. Sensors, 20(7), 2099. https://doi.org/10.3390/s20072099
Holcsik, P., Palfi, J., Tompa, M., Grabara, J., Čonka, Z., Kolcun, M., Avornicului, M., & Jędrasiak, K. (2020). Management of Smart Switchboard Placement to Enhance Distribution System Reliability. Energies, 13(6), 1406. https://doi.org/10.3390/en13061406
Kamaludin, A., Prasetia, H., & Nugroho, Y. (2020). Implementation of GOOSE for overcurrent relays with non-cascade scheme in medium voltage switchgear as breaker failure and busbar protection system. 2020 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), 179–182. https://doi.org/10.1109/ICT-PEP50916.2020.9249907
Katipamula, S., & Brambley, M. R. (2005). Methods for fault detection, diagnostics, and prognostics for building systems—a review, part I. Hvac&R Research, 11(1), 3-25. https://doi.org/10.1080/10789669.2005.10391123
Krause, K., Burns, D., Hutchinson, S., & Arvola, J. (2013). Managing arc flash: Collaborative solutions in medium-voltage switchgear. IEEE Industry Applications Magazine, 20(1), 70-78. https://doi.org/10.1109/MIAS.2013.2282560
Mariani, L., Pastore, F., & Pezze, M. (2010). Dynamic analysis for diagnosing integration faults. IEEE Transactions on Software Engineering, 37(4), 486-508. https://doi.org/10.1109/TSE.2010.93
Mirhosseini, M., Heydari, A., Astiaso Garcia, D., Mancini, F., & Keynia, F. (2022). Reliability based maintenance programming by a new index for electrical distribution system components ranking. Optimization and Engineering, 23(4), 2315–2333. https://doi.org/10.1007/s11081-022-09767-8
Mucchielli, P., Bhowmik, B., Ghosh, B., & Pakrashi, V. (2021). Real-time accurate detection of wind turbine downtime-an Irish perspective. Renewable Energy, 179, 1969-1989. https://doi.org/10.1016/j.renene.2021.07.139
Neighbours, T., & Karandikar, H. (2022, June). Cost-Benefit Analysis of Active Arc Mitigation Technologies in Low-and Medium-Voltage Switchgear: Copyright Material IEEE Paper No. PCIC-(Do not Insert Number). In 2022 IEEE IAS Pulp and Paper Industry Conference (PPIC) (pp. 122-134). IEEE. https://doi.org/10.1109/PPIC52995.2022.9888894
Subramaniam, A., Sahoo, A., Manohar, S. S., Raman, S. J., & Panda, S. K. (2021). Switchgear condition assessment and lifecycle management: Standards, failure statistics, condition assessment, partial discharge analysis, maintenance approaches, and future trends. IEEE Electrical Insulation Magazine, 37(3), 27-41. https://doi.org/10.1109/MEI.2021.9399911
Wang, W., Zeng, G., Tang, Q., Wu, K., Huang, Q., & Ma, W. (2021). Reliability Analysis of A Novel On-line Maintenance Switchgear Under Transient Impulse. Procedia Computer Science, 191, 397–404.
Winarto, A. T., Soetadji, P., Sutikno, T., Sunardi, S., & Puriyanto, R. D. (2024). Integrating novel sensors and machine learning for predictive maintenance of medium voltage switchgear in LNG plants using failure mode and effects analysis. Journal on Intelligent Systems Engineering and Applied Data Science, 1(1), 15-23.
Yu, L., Bai, J., Cong, P., Song, D., Han, X., & Lin, L. (2020). Study on reliability evaluation technology for isolation switch operation in GIS. 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 3930–3934. https://doi.org/10.1109/EI250167.2020.9347352
Zhou, N., & Xu, Y. (2022). A multi-evidence fusion based integrated method for health assessment of medium voltage switchgears in power grid. IEEE Transactions on Power Delivery, 38(2), 1406–1415.
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://doi.org/10.1109/TPWRD.2023.3272883
Copyright (c) 2024 Journal La Multiapp
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
