Strategic Integration of Predictive Maintenance Plans to Improve Operational Efficiency of Smart Grids

This paper presents a comprehensive analysis of the potential benefits and costs associated with optimizing grid maintenance strategies through the integration of predictive maintenance. The increasing complexity and aging infrastructure of electrical grids necessitate innovative approaches to enhance maintenance efficiency and reliability. Leveraging edge computing technologies enables the processing of data closer to its source, facilitating real-time analysis of grid health metrics and predictive maintenance interventions. By integrating remote smart sensors and cutting-edge edge computing technologies, predictive maintenance offers continuous monitoring capabilities, preempting costly downtime and repairs while enhancing operational efficiency and reliability. This paper performs a thorough cost-benefit analysis that includes initial investment costs, operational expenses, potential savings from predictive maintenance, and the overall impact on grid reliability and performance. Grid operators and policymakers can use valuable insights for assessing the feasibility and value proposition of implementing optimized predictive grid maintenance strategies.