Power Grid Corporation of India Limited (POWERGRID) is India’s largest transmission utility and a key player in the country’s power infrastructure. With a network that spans thousands (180,803 ckt km) of kilometres, comprising nearly 300,000 transmission towers and over 4,000 transformers and reactors, the company is responsible for maintaining one of the most reliable and technologically advanced transmission systems in the world. POWERGRID operates 286 substations with a total transformation capacity of 566,831 MVA and an inter-regional power transfer capacity of 99,580 MW. As of March 2025, the company’s system availability stood at 99.84 per cent.
Given the scale and complexity of its operations, POWERGRID has embraced the convergence of information technology (IT) and operational technology (OT) as a cornerstone of its digital transformation strategy. The integration of these domains, supported by artificial intelligence (AI), machine learning (ML), and advanced analytics, has enabled the company to enhance asset performance, improve maintenance planning, and ensure real-time visibility across its infrastructure.
Focus areas for AI and digital transformation
POWERGRID has identified five key focus areas for artificial intelligence (AI) integration across its operations – predictive maintenance, outage management, asset lifecycle management, grid modernisation and human resource management.
In predictive maintenance, the company uses AI-driven tools for asset health diagnostics, criticality analysis, anomaly detection, geospatial management and load forecasting. These systems predict potential equipment failures and enable preventive action, reducing downtime and improving asset reliability. In outage management, AI solutions assist in fault prediction, optimisation of maintenance plans, bundling of work orders and efficient resource coordination, ensuring faster response and restoration times.
Asset lifecycle management initiatives focus on analysing the total cost of ownership, long-term budgeting and scenario-based planning to guide investment and maintenance decisions. Under grid modernisation, POWERGRID’s focus areas include smart grid integration, renewable energy planning, equipment refurbishment and cybersecurity enhancement. In human resource management, the digital worker concept, safety assessment tools and augmented reality (AR)/virtual reality (VR)-based training programmes are being implemented to promote workforce safety and operational efficiency.
PG-AMRIT
A flagship innovation under POWERGRID’s IT-OT integration is PG-AMRIT (POWERGRID Asset Management through Artificial Intelligence in Transmission). This AI- and image-processing-based solution automates the identification of defects in transmission line towers. Traditionally, field personnel manually inspected towers and recorded observations – a process that was time-consuming and prone to human error. PG-AMRIT replaces this with a fully digital workflow.
Using a mobile application and a web interface, field personnel can log in, capture tower images within a predefined geofenced area and upload them to a central server. These images are then processed using convolutional neural network (CNN) algorithms capable of detecting over 47 defect types, including insulator damage, corrosion, missing bolts, cross-arm damage, vegetation encroachment, bird nests and conductor misalignment. The system processes about 100 photographs per minute, achieving an accuracy rate of over 80 per cent for major defect types. The solution, operational since January 2024, is now being expanded to integrate drone imagery for improved accuracy and coverage, especially for defects not visible from the ground level.
Reliability-centred maintenance and the PALMS system
Another major step in POWERGRID’s digital journey is the development of the Power Asset Life Management System (PALMS). This indigenously developed application enables the centralised monitoring and health assessment of critical components such as circuit breakers, transformers and reactors. Currently, more than 9,200 circuit breakers, ranging from 132 kV to 765 kV, are monitored through PALMS.
The system integrates operational and test data from SAP and applies AI-based analytics to assess equipment health, detect anomalies and predict failures. PALMS provides make- and age-wise health assessments, risk-impact mapping and scenario analysis to identify critical assets. It enables preventive maintenance, data-driven decision-making and optimisation of resources and inventory. The implementation of reliability-centred maintenance has resulted in reduced maintenance costs and improved overall system reliability.
Intelligent inspection and robotics
To digitise and streamline field operations, POWERGRID has introduced the Intelligent Inspection in POWERGRID (I²P) initiative. This system uses QR-coded asset tagging integrated with SAP, enabling field personnel to conduct inspections, record data and synchronise information online or offline in real time. It eliminates paper-based reporting, improves traceability and enhances maintenance efficiency.
Complementing I²P, POWERGRID has developed a substation inspection robot in collaboration with IIT Kanpur. This indigenously built, all-terrain robot is equipped with internet of things (IoT) sensors, thermal cameras, light detection and ranging, and autonomous navigation features. It can detect cracks, hotspots, leakages and noise anomalies in reactors and transformers. The robot operates on uneven terrains, can climb stairs and uses AI-ML algorithms for autonomous defect detection. It has a 30 kg payload capacity, a speed of 0.5 metres per second, and endurance of up to 2.5 hours, with a fast-charging system capable of full recharge in under two hours. Designed for 24×7 substation monitoring, it significantly enhances safety by reducing human exposure to high-voltage environments.
Satellite-based vegetation management
Vegetation encroachment along transmission corridors poses a major threat to power system reliability. POWERGRID has developed satellite- and AI-based vegetation management tools that use CNN and Random Forest models to forecast vegetation growth along transmission corridors. By mapping growth rates and predicting critical levels, these systems generate early warnings for field teams to take preventive action. Pilot projects conducted on six transmission lines have demonstrated the viability of this method, and further refinements are under way to improve forecasting accuracy using advanced imaging and geospatial data.
Dynamic line loading and asset performance management
The company has also deployed dynamic line loading (DLL) systems that integrate current, voltage and weather data to optimise power transfer capacity. By analysing thermal limits and environmental conditions, DLL allows better utilisation of transmission lines without compromising safety margins. Data from OT systems is securely transmitted to IT platforms through one-way communication channels, ensuring cybersecurity compliance while enabling near-real-time decision-making.
The next phase in POWERGRID’s digital roadmap is the implementation of an asset performance management (APM) platform. APM integrates data from supervisory control and data acquisition systems, sensors, enterprise resource planning and maintenance databases into a centralised data lake. Advanced analytics and ML models within the APM system enable predictive maintenance, outage management and risk-based asset planning. This unified approach also supports the optimisation of both operating and capex by improving asset reliability and extending lifecycle performance.
AI-enabled knowledge management and training
To enhance internal knowledge sharing, POWERGRID is developing a generative AI chatbot that provides contextual responses to employee queries by accessing manuals, circulars and operational documents. This tool will simplify knowledge retrieval, improve internal communication and reduce turnaround times for technical clarifications.
The company is also investing heavily in human resource development through VR-based safety training modules. These immersive training tools simulate real-world field conditions and high-risk scenarios such as tower climbing, insulator replacement, ladder usage and cardiopulmonary resuscitation procedures. The modules improve hazard perception, safety behaviour and learning retention, reinforcing POWERGRID’s commitment to safety and digital learning.
Cybersecurity and IT-OT challenges
With the increasing integration of IT and OT systems, cybersecurity has become a top priority. POWERGRID’s OT networks are fully segregated from IT systems, allowing only one-way data flow to prevent external threats. The company faces challenges such as the geographical dispersion of OT systems and a limited pool of cybersecurity experts at the field level. To address these issues, a cybersecurity centre of excellence has been established to provide centralised expertise and support to substations.
Comprehensive measures have been implemented to enhance cyber resilience, including network segmentation using VLANs and MAC binding, centralised patching, strict USB and external device control, and the use of jump-box solutions for remote vendor access. Legacy systems are being upgraded with modern protections such as role-based access control, and obsolete operating systems are being systematically phased out. These measures align with the Central Electricity Authority’s cybersecurity guidelines and ensure that POWERGRID’s digital transformation remains secure and compliant.
The road ahead
POWERGRID plans to introduce digital twin technology to complement its existing IT-OT ecosystem. A digital twin is a real-time virtual model that mirrors a physical asset’s condition and performance throughout its lifecycle. Additionally, the upcoming APM platform will mark a major leap forward by consolidating diverse data sources into a single decision-support ecosystem. With the growing integration of renewable energy and expansion of the transmission network, the company’s focus on predictive maintenance, intelligent monitoring and cyber-secure infrastructure will be critical for maintaining grid stability and performance.
By developing indigenous AI solutions such as PG-AMRIT, PALMS, I²P and the substation inspection robot, POWERGRID is setting new standards for technological innovation in the power transmission sector. Its balanced approach positions it as a leader in intelligent grid management and a key enabler of India’s vision for a secure, reliable and self-reliant power system.
Based on a presentation by POWERGRID at a recent Power Line conference
