Context
Transmission and distribution service operators manage line capacity within operational constraints that are typically governed by predefined line ratings. Decisions on how to utilise deployed line infrastructure depend on confidence in available capacity under prevailing and forecasted environmental conditions.
Challenge
Static line ratings limit visibility of available capacity on transmission and distribution lines. Operators need a way to forecast available line capacity over time so they can identify additional capacity and make utilisation decisions with greater confidence.
AI Solution
Digital Dynamic Line Ratings (DDLR) replaces static line ratings with dynamic ratings. The approach uses Machine Learning to improve forecasting based on weather data and to improve predictions of available line capacities at any time. Dynamic digital line rates can be transferred to the EMS (Energy Management System) / ADMS (Advanced Distribution Management System) through a simple integration to automate the operational workflow.
Impact & evidence
DDLR enables operators to identify “hidden” capacity in their lines and to optimise utilisation of deployed infrastructure while increasing resilience. Utilities deploying GridOS DDLR have reported measurable improvements in grid capacity, operational efficiency, and renewable energy integration. DDLR-enabled lines have supported up to 30% increases in transmission capability during optimal conditions, which is described as facilitating congestion management and market participation.
Implementation / Adoption
DDLR can be delivered as a cloud solution as SaaS (Software as a Service) or as a managed services offering. Full automation requires transfer of dynamic digital line rates to the EMS / ADMS through a simple integration. Replicability requirements include deep knowledge of the power system to replicate line ratings and deep domain knowledge to optimise identified capacities. Time to value would be 6 weeks.
Data
Integration with weather data service is important for deployment of the solution. Integration with EMS / ADMS is not required but is essential.
Future enhancements
Future enhancements include out of the box integration with major EMS / ADMS and improved depth for forecasting with more local predictions.
Additional information
https://www.gevernova.com/software/products/gridos/digital-dynamic-line-rating
https://www.gevernova.com/software/blog/digital-dynamic-line-rating-boost-grid-capacity