Abstract
Today, with the increasing electricity consumption and human needs for this energy, the availability of electricity has received more attention than before. Natural disasters, especially hurricanes, cause great damage to the power systems, leading to economic and social disruptions and public discontent. In general, reliability issues are not the perfect answer for evaluating the distribution network in the face of extreme events and the need for distribution network resilience studies. Resilience is the ability of the power system to withstand disruptions and rapid reconstruction against events that are unlikely to occur but have a high impact. In this paper, the preventive maintenance strategy is used for cost–benefit analysis of the objective function, which includes the cost of preventive maintenance, cost of resilience, and cost of reliability. In addition to cost analysis, reliability and resilience indicators in implementing various scenarios are analyzed. Finally, the system resilience diagrams for the severity of different accidents are presented. Based on the simulation results for several scenarios, the best preventive maintenance scenario is selected to improve the resilience level and reliability of the distribution network after the incident. The proposed strategy is implemented on the part of the standard test system to show the justification of the proposed approach.
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Abbreviations
- ENS:
-
Energy not supplied
- EENS:
-
Expected energy not supplied
- PM:
-
Preventive maintenance
- VOLL:
-
Value of lost load
- USE:
-
Unserved energy (EUSE)
- EUSE:
-
Expected unserved energy (EUSE)
- RBTS:
-
Roy Billinton Test System
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Ghorbani, E., Hajiabadi, M.E., Samadi, M. et al. Providing a preventive maintenance strategy for enhancing distribution network resilience based on cost–benefit analysis. Electr Eng 105, 979–991 (2023). https://doi.org/10.1007/s00202-022-01710-5
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DOI: https://doi.org/10.1007/s00202-022-01710-5