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Enabling Proactive Overhead Line Management Through Monitoring, Predictive Maintenance, and Digital Twins

Ref B2_10382_2026 • 2026
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Summary

The paper presents a hybrid Digital Twin (DT) approach for Overhead Transmission Line

(OHL) asset management, combining sensor-based monitoring, AI-driven predictive maintenance, and a virtual digital replica for operational optimization. The framework ensures continuous condition tracking, predictive diagnostics, and actionable maintenance scheduling. The system integrates real-time IoT data, machine learning algorithms, and 3D modelling for virtual synchronization. A demonstration dashboard built on Streamlit validates the approach through interactive visualizations and fault prediction simulations. The framework aligns with CIGRÉ’s vision of digitalization, enhancing grid reliability and sustainability. Figure 0 - Paper Overview Block Diagram

Additional informations

Publication type Session Materials
Reference B2_10382_2026
Publication year
Publisher CIGRE
Country India
Study committees
File size 2 MB
Price for non member 30 €
Price for member 30 €

Authors

DARODE* Anil Deochand - POWERGRID, India

Keywords

Proactive, Overhead, Line, Management, Monitoring, Predictive Maintenance, Digital Twins

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Enabling Proactive Overhead Line Management Through Monitoring, Predictive Maintenance, and Digital Twins