Tools to Assess and Guide Safe Levels of Rooftop Solar and Distributed Energy Penetration Across GUVNL’s Distribution Network

What is the Problem?
GUVNL is experiencing rapid growth in rooftop solar installations across its distribution network. While this supports Gujarat’s renewable energy goals, it also raises operational concerns such as voltage rise, reverse power flow, thermal loading, and protection system limitations, particularly on rural and lightly loaded feeders.
Currently, there is no standardised, data-driven tool to assess how much solar can safely be integrated at each feeder or transformer level. Without such planning support, GUVNL faces risks of local power quality issues, equipment stress, and delays in processing rooftop solar applications.
To scale distributed renewable energy safely and efficiently, GUVNL requires planning tools that can evaluate grid capacity, simulate solar penetration scenarios, and recommend hosting limits that ensure technical feasibility and grid safety.

Development of AI-Driven Systems for Energy Theft Detection and Prevention

What is the Problem?
As the smart meter rollout expands across Gujarat, GUVNL is capturing high-resolution energy consumption data from consumers across its network. While this data creates new opportunities for improving operations, energy theft and meter tampering remain major concerns, contributing to significant non-technical losses.
Traditional methods for detecting theft, such as manual inspections, random checks, or anomaly reports, are time-consuming and reactive. Without an intelligent layer of analysis, the data collected from smart meters is underutilised, and real-time detection of tampering or suspicious consumption patterns remains a challenge.
GUVNL is looking to move from reactive enforcement to proactive theft detection, with automated systems that can monitor incoming data from meters and feeders, flag abnormalities, and generate actionable alerts for field teams. This shift can improve revenue recovery, reduce inspection effort, and enhance transparency across the network.