Digital switchgear curbs power losses, boosting distribution efficiency

Machine-learning models trained on continuous sensor feeds monitor parameters such as insulation integrity, partial discharges, and thermal stress, which can then predict failures weeks in advance, reducing unplanned outages and leading to the extension of equipment life by up to 30 percent.

- Piyush Garg

Digital switchgear embedded with IoT sensors and smart meters enables real-time monitoring of current, voltage, temperature, and transformer loads. This minimises power loss via optimised load balancing and predictive maintenance while preventing unauthorised access. Paired with tamper detection and automated cutoff in smart meters, these systems sharply reduce technical and non-technical losses in distribution networks in India. Piyush Garg has more to say; let us hear him.

What is the expected impact of AI and real-time data analytics on switchgear performance and lifecycle management?