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Maintenance optimization for unavailability enhancement of representative interconnected infrastructure based on

Radim Briš1, Pavel Praks2, Radek Fujdiak3

  • 1Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic.

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|August 7, 2025
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Summary

This study optimizes preventive maintenance (PM) in smart grids, reducing system unavailability by 20% and costs by 8.5%. The new approach enhances grid reliability and operational efficiency for complex systems.

Keywords:
Power gridacyclic graphalternating renewal processcommunication networkcostmaintenance optimizationunavailability

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Area of Science:

  • Electrical Engineering
  • Operations Research
  • Reliability Engineering

Background:

  • Smart grid systems integrate power grids and communication networks, making them vulnerable to component failures.
  • System unavailability is a critical metric influenced by component maintenance schedules.
  • Optimizing preventive maintenance (PM) is essential for ensuring smart grid reliability and cost-effectiveness.

Purpose of the Study:

  • To develop an optimal preventive maintenance (PM) policy for interconnected smart grid systems.
  • To minimize system operation costs and reduce time-dependent unavailability.
  • To explore the feasibility of solving maintenance optimization problems in complex smart grid environments.

Main Methods:

  • Remade unavailability quantification incorporating stochastic models for components in various maintenance modes.
  • Developed a cost model to estimate expenses for different maintenance configurations.
  • Applied methodological tools to determine an optimal PM policy for a smart grid.

Main Results:

  • The developed PM policy reduced grid unavailability by approximately 20%.
  • Operational costs were lowered by about 8.5% compared to systems without optimized maintenance.
  • The study demonstrated the effectiveness of the proposed methods for complex system maintenance.

Conclusions:

  • An optimal PM policy can significantly enhance smart grid performance by reducing unavailability and costs.
  • The proposed stochastic modeling and cost analysis provide a robust framework for complex system maintenance optimization.
  • This research offers practical solutions for system operators to improve smart grid reliability and economic efficiency.