Real-time network visibility gives system operators a more accurate and continuously updated view of how the grid is performing, replacing conservative assumptions with measured operating conditions. Sensors installed on transmission lines and substations, smart meters and other monitoring devices capture information such as power flows, equipment loading, conductor temperature and local weather conditions. Communications infrastructure then transmits this data to control-room systems, where software processes it into information operators can use to understand network conditions and make operational decisions. This can reveal where congestion is emerging, where assets are approaching their limits and where unused capacity remains available. 

Dynamic line rating is one application: rather than assigning a fixed capacity to a transmission line based on conservative environmental assumptions, operators can adjust its rating using actual or forecast conditions. More broadly, improved visibility can help operators manage congestion, integrate variable renewable generation and make greater use of existing infrastructure while maintaining safe operating limits. As power flows become more variable and distributed energy resources increase, extending this visibility beyond transmission systems into distribution networks will become increasingly important for managing a more dynamic power system.

Main Outcomes of the Solution

• Affordability: Real-time visibility enables operators to make better use of existing network assets, relieving congestion and increasing usable capacity without immediately building new infrastructure. This can reduce redispatch, congestion and reinforcement costs, improving the cost-effectiveness of the power system. 
• Reliability & Flexibility: Live information on network conditions allows operators to respond to changing power flows and identify available capacity while remaining within safe operating limits. Better situational awareness also supports the management of variable generation and enables greater operational flexibility as renewable penetration increases. 
• Sustainability: Greater visibility can increase the amount of renewable generation the existing network can accommodate. By revealing available transmission capacity and helping operators manage congestion dynamically, it can reduce network constraints that would otherwise restrict renewable integration.

Key implementation and scaling factors

1. Deployment depends on sufficient sensor and monitoring coverage across transmission and distribution assets to provide operators with an accurate view of network conditions. 
2. Reliable, low-latency communications and integration with control-room systems are needed to turn field measurements into information operators can use in real time. 
3. Data quality, interoperability and standardisation are critical as visibility solutions scale across different assets, technologies and network operators. 
4. Operators need validated methodologies and confidence in real-time measurements before dynamic information can be incorporated into operational limits and routine decision-making. 
5. Scaling requires regulatory frameworks that recognise the value of digital monitoring investments and allow associated costs to be recovered, particularly where they can defer conventional network reinforcement.

Case studies

Powergrid (2020), India

India established 11 Renewable Energy Management Centres (REMCs) to improve the integration and real-time management of variable renewable generation. Implemented by POWERGRID on behalf of the Government of India, the centres are located alongside seven State Load Dispatch Centres, three Regional Load Dispatch Centres and the National Load Dispatch Centre in New Delhi. The REMCs combine real-time renewable generation monitoring with AI-based forecasting and scheduling tools, providing grid operators with greater visibility of changing wind and solar output and supporting coordination with existing dispatch systems. At commissioning in 2019–20, the 11 centres monitored approximately 55 GW of wind and solar capacity. The deployment strengthened operators’ situational awareness and their ability to manage the variability and balancing challenges associated with increasing renewable penetration, supporting smoother and more secure grid operation.

Great River Energy (2024), USA

Great River Energy (GRE), a Minnesota-based generation and transmission cooperative, partnered with Heimdall Power to deploy dynamic line rating technology across its transmission network. Beginning at scale in 2024, the project installed 50 Heimdall Neuron sensors across 10 GRE-owned transmission lines spanning 175 miles. The sensors collect real-time information on transmission lines and their surrounding conditions, allowing GRE to assess available capacity based on actual operating conditions rather than relying solely on static ratings. After 12 months of operation, the deployment identified substantial additional transmission capacity, including gains of up to 63% during periods of peak demand. Great River Energy also projects approximately $3.175 million in avoided congestion costs over five years. The project demonstrates how asset-level monitoring can translate real-time network visibility into greater utilisation of existing transmission infrastructure and measurable reductions in system congestion costs.

References

1. Advanced Transmission Technologies | U.S. Department of Energy 
2. Renewable Energy Management Centres Commissioned | Government of India, Ministry of Power 
3. Neurons Boost Grid Capacity | Great River Energy 
4. One Year Inside America’s Largest DLR Deployment | Heimdall Power