METHODS FOR DETERMINING THE RELIABILITY OF POWER CABLES DURING OPERATION
Keywords:
Power cable reliability, insulation degradation, condition monitoring, accelerated aging, probabilistic analysis, predictive maintenance, electrical power systems, partial discharge detection, Weibull analysis, Monte Carlo simulation.Abstract
The reliability of power cables is a critical factor in ensuring the continuous and safe operation of electrical power systems. Power cables are subjected to a variety of stresses, including thermal, mechanical, chemical, and environmental factors, which can significantly affect their performance and service life. This paper provides a comprehensive review and analysis of existing methodologies for determining the reliability of power cables during operation. The study examines experimental approaches, such as accelerated aging tests, diagnostic techniques including partial discharge detection and time-domain reflectometry, and probabilistic methods, such as Weibull analysis and Monte Carlo simulations. The discussion highlights the importance of integrating these methods to optimize maintenance strategies, extend cable life, and reduce unexpected failures. Furthermore, the paper addresses the challenges posed by modern energy systems, including renewable energy integration, underground and submarine installations, and dynamic load conditions, emphasizing the need for adaptive and predictive reliability assessment models. The findings underscore the necessity of a multi-faceted approach to cable management that combines material studies, monitoring technologies, statistical modeling, and predictive maintenance to enhance the resilience, safety, and efficiency of power distribution networks.
Downloads
References
Blackburn, J. L. (1980). Electrical Insulation in Power Cables: Principles and Practice. New York: Wiley.
Kumar, P., Singh, R., & Sharma, A. (2018). Reliability assessment of underground power cables under dynamic loading conditions. IEEE Transactions on Power Delivery, 33(4), 1800–1808.
Lee, C., & Wang, S. (2012). Probabilistic modeling of power cable failures using Weibull distribution. Electric Power Systems Research, 85, 42–50.
Li, X., & Zhang, Y. (2015). Real-time monitoring and diagnostics of power cable systems: Techniques and applications. IEEE Transactions on Dielectrics and Electrical Insulation, 22(6), 3204–3213.
Martin, T., Roberts, J., & White, P. (2010). Condition-based maintenance strategies for high-voltage power cables. Journal of Electrical Engineering, 61(2), 102–110.
Montanari, G. (1975). Aging of Power Cable Insulation: Thermal and Electrical Effects. London: Peter Peregrinus Ltd.
Parker, D., & Ahmed, S. (1990). Environmental effects on underground power cable reliability. IEEE Transactions on Power Delivery, 5(3), 1250–1258.
Silva, F., & Rodrigues, L. (2020). Adaptive reliability assessment for renewable-integrated power cable systems. Electric Power Components and Systems, 48(8), 745–759.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.
