Grid Enhancing Technologies
Dynamic Line Rating and Monitoring System
Not All DLRs Are Equal
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.
Non-Contact Sensor
LineVision LUX™ is the industry's only non-contact sensor that is transforming the way transmission lines are monitored. This patented sensor technology mounts quickly and securely to lattice towers and monopoles rather than to live lines, dramatically increasing the safety, operational efficiency, and accuracy of data models.
LineVision LUX
Welcome to a new era in power line sensing with LineVision LUX™, where insight meets innovation. Just as lux represents the SI unit of illuminance, our technology illuminates opportunities previously hidden in the grid for increased capacity and line health visibility.
Non-contact sensor eliminates the need for expensive installation equipment, high-risk work for line crews, or outages
LiDAR technology can monitor all phases of multiple circuits, even bundled conductors, with just one sensor
Sensors collect granular, real-world data in real-time, which train and validate LineVision methodologies
Stainless steel enclosure and long-lasting Lithium Iron Phosphate (LiPO4) battery ensure lifetime reliability
Plug-and-play wiring and modularized assembly increase installation efficiency and ease
Rigorously tested in harsh environmental conditions, assembled in the USA, with a full hardware maintenance warranty for life of contract
Specifications
LiDar Sensor
Enclosure
Battery
SOlar Panel
Integration & Operations
Software
LineVision's sensor-validated platform works in unison with our suite of software solutions to provide utilities with comprehensive visibility into the capacity, health, and performance of transmission lines. By combining real-world data with our proprietary methodologies, LineVision enables grid operators to modernize operations and optimize grid performance.
LineRate Suite
Meet FERC 881 compliance and safely increase capacity on transmission lines by up to 40% with Dynamic Line Ratings and Ambient Adjusted Ratings
Dynamic Line Ratings
The industry’s most accurate DLR calculations, leveraging computational fluid dynamics and sensor based data that is continuously refined using machine learning
Conductor Temperature
Real Time Dynamic Line Ratings
Forecasted DLR, hourly, up to 240 hours (10 days) out
Unique & Customizable Emergency Ratings
Meets FERC Order 881 Compliance
Facility Ratings
NERC CIP Compliant Data Integration
Ambient Adjusted Ratings+
One or more non-contact sensors are installed at critical locations to verify ratings aren't overestimated, increasing grid capacity while ensuring safety & resilience
Conductor Temperature
Forecasted AAR, hourly, up to 240 hours (10 days) out
Unique Emergency Ratings
Meets FERC Order 881 Compliance
NERC CIP Compliant Data Integration
Facility Ratings
Most Limiting Element Identifier
Ambient Adjusted Ratings
Achieve FERC order 881 compliance & boost grid capacity with AAR using localized weather data and LineVision’s rating engine
Forecasted AAR, hourly, up to 240 hours (10 days) out
Emergency Ratings
Most limiting Element Identifier
Meets FERC 881 Compliance
NERC CIP Compliant Data Integration - compatible with DLR
Situational Awareness
LineAware
Ensure lines are within safe operating limits with real-time alerting on threats to grid reliability or public safety
Outputs
Conductor sag, all phases
Conductor blowout, all phases
Icing risk
Icing detection alerts
Anomalous motion alerts
Ambient weather conditions
Asset Health
LineHealth
Improve asset management by using digital twin models to understand conductor health and prioritize maintenance of critical assets
Outputs
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
Conductor temperature
Data Portal
Flexible access to your data through a secure, cloud-based portal or hybrid on-prem option
Methodologies
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 to build comprehensive, validated, and safe models for Dynamic Line Ratings and transmission line analytics.
Guaranteed 99.5% DLR availability - the highest offered in the industry
Dynamic Line Ratings Methodology
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.
Situational Awareness Methodology
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.
Asset Health Methodology
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.
By applying a multi-layered and sensor-based approach, the data models within each of our software offerings are continuously trained and validated, resulting in the most reliable DLR and transmission line analytics available.
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.