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Optimizing aging assets replacement in power systems

Author

Listed:
  • Aidin Shaghaghi

    (Iran University of Science and Technology)

  • Mohammad Taghitahooneh

    (Iran University of Science and Technology)

  • Reza Dashti

    (Iran University of Science and Technology)

Abstract

The electrical distribution system comprises various assets with limited lifespans. The operational range of these assets is determined based on influential factors in the electrical distribution systems. Additionally, as the age of the assets, their performance becomes compromised and susceptible to disruptions. The major challenges in managing aging assets revolve around cost and cost-effectiveness. Replacing aging assets requires substantial capital investment. Failure to replace these assets leads to significant disruptions in the continuity and quality of power supply, imposing high costs on the electrical distribution system. This article aims to strike a balance between the costs of replacing aging assets and the costs incurred due to asset deterioration in electrical distribution systems to achieve the minimum capital investment cost. The main advantage of the proposed algorithm is its comprehensive consideration of all factors influencing the cost–benefit trade-off of aging assets. This algorithm determines the optimal time for replacing aging assets to achieve the most economical state possible. The investigations in this study reveal that the replacement time for aging assets varies between 39 to 42 years, depending on the different conditions examined.

Suggested Citation

  • Aidin Shaghaghi & Mohammad Taghitahooneh & Reza Dashti, 2024. "Optimizing aging assets replacement in power systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(3), pages 1098-1108, March.
  • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:3:d:10.1007_s13198-023-02194-7
    DOI: 10.1007/s13198-023-02194-7
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    References listed on IDEAS

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    1. Eryilmaz, Serkan, 2021. "Revisiting discrete time age replacement policy for phase-type lifetime distributions," European Journal of Operational Research, Elsevier, vol. 295(2), pages 699-704.
    2. Yatsenko, Yuri & Hritonenko, Natali, 2020. "Optimal asset replacement: Profit maximization under varying technology," International Journal of Production Economics, Elsevier, vol. 228(C).
    3. Mizutani, Satoshi & Zhao, Xufeng & Nakagawa, Toshio, 2021. "Age and periodic replacement policies with two failure modes in general replacement models," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    4. Koziel, Sylvie & Hilber, Patrik & Westerlund, Per & Shayesteh, Ebrahim, 2021. "Investments in data quality: Evaluating impacts of faulty data on asset management in power systems," Applied Energy, Elsevier, vol. 281(C).
    5. Mosayebi Omshi, E. & Grall, A., 2021. "Replacement and imperfect repair of deteriorating system: Study of a CBM policy and impact of repair efficiency," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Eryilmaz, Serkan & Kan, Cihangir, 2019. "Reliability and optimal replacement policy for an extreme shock model with a change point," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    7. Stutzman, Sarah & Weiland, Brandon & Preckel, Paul & Wetzstein, Michael, 2017. "Optimal replacement policies for an uncertain rejuvenated asset," International Journal of Production Economics, Elsevier, vol. 185(C), pages 21-33.
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