Development of systems for rapid power line restoration after outages
Abstract
Methods have been investigated for the accelerated restoration of power transmission lines. A concept is presented for a rapid restoration system for power transmission lines based on mobile support structures and a modular, container-type repair station. Modern approaches to enhancing power system resilience are examined, including quick-assembly aluminum-composite towers, mobile substations, unmanned aerial vehicle (UAV) monitoring, digital twins, and optimization algorithms for emergency response. A model of a dual-container 110/10 kV station with interchangeable generator and storage modules has been developed. A novel System Resilience Improvement Index (RII) is proposed, which integrates recovery time, economic costs, the risk of repeated failures, and critical load availability. Scenario modeling of a double-tower collapse on a 110 kV transmission line, simulated with SimPy and NetworkX, demonstrated significant performance gains: average recovery time was reduced from 18.2 to 5.1 hours, direct costs fell from a baseline of 100% to 60%, repeated failures decreased from 35% to 12%, undelivered energy was reduced by a factor of 3.5, and the RII indicator increased by 58%. These results confirm the high effectiveness of the proposed modular station solution. It has been established that the efficiency of implementing modular stations for post-outage repairs can be increased by more than half. Potential limitations to widespread adoption are also identified, including significant financial costs, research and development requirements, logistical challenges (e.g., narrow roads or flood zones), as well as a lack of regulatory documentation and standards.
Fields of Study & Subjects
Power System Optimization and Stability
Power System Reliability and Maintenance
Infrastructure Resilience and Vulnerability Analysis
Publication details
- Journal / source
- Safety and Reliability of Power Industry
- Volume
- 18
- Issue
- 4
- Pages
- 253–258
- Publication date
- 27 January 2026