Dynamic Line Ratings (DLR) are calculated using real-time field measurements of weather and conductor position to determine ampacity, enabling grid operators to dynamically optimize power flow on the grid. The methods for calculating DLR, however, vary greatly and the consequences for getting it wrong are significant. To ensure the safety, reliability, and uptime of grid operations, it’s critical to consider the sensor, the software, and the methodologies used when evaluating your DLR partner.
Integration & Operations
Conductor sag, all phases
Conductor blowout, all phases
Icing detection alerts
Anomalous motion alerts
Ambient weather conditions
Loss of strength from historical annealing analysis
Conductor end of life projection
Phase by phase observed sag distributions
Observed sag/temperature relationship curves
Conductor elongation analysis
Projected safe maximum operating temperature
Rated breaking strength evaluation & aeolian vibration risk
Developed and refined by LineVision’s industry-leading meteorologic and data science teams, our state-of-the-art methodologies employ techniques in machine learning and computational fluid dynamics (CFD) modeling, along with real-time sensor measurements including sag and blowout to build a comprehensive, validated, and safe model to calculate wind speed, and ultimately a DLR.
LineVision's sensor-validated Dynamic Line Ratings (DLR) are calculated using a combination of precisely modeled and measured data inputs. Weather data and computational fluid dynamics are used to account for hyper-local terrain and vegetation along the transmission corridor. The model is then trained using machine learning and LineVision LUX inputs of sag, blowout, and conductor temperature. This approach enables LineVision to determine the true ampacity of the line with a high level of accuracy. The DLRs are then delivered in real-time and hourly forecasts up to 10 days ahead.
LineVision’s LineAware solution uses the LineVision LUX sensor to ingest real-time field measurements of conductor sag and blowout to build a digital twin model of the monitored transmission span. The LineAware solution ensures lines are within safe operating limits with real-time alerting on anomalous horizontal and vertical conductor position on each phase of power as well as icing risk and detection.
LineVision’s LineHealth solution builds a digital twin of the monitored transmission span to help engineers prioritize the repair and replacement of lines that are identified as critical or at risk. The solution ingests data from the LineVision LUX sensor to monitor real-time conductor behavior and model end of life projections, sag distributions, conductor elongation, aeolian vibration risk, and projects the safe maximum operating temperature.
Real-world sensor data from LineVision LUX is used to continuously train and validate our models, which enables the highest accuracy and uninterrupted results
IEEE and CIGRE have provided clear guidance for the implementation of DLR calculations and the field measurements that go into them. LineVision adheres to - and builds upon - this guidance to ensure the safest and most reliable ratings and analytics for utility partners
By utilizing these best-in-class practices, we deliver the most accurate, reliable, and timely insights that help utility grid operators make the most informed decisions to optimize grid efficiency and operations.