Gridscale X Dynamic Line Rating

Why Gridscale X Dynamic Line Rating?

Gridscale X Dynamic Line Rating software calculates and forecasts overhead line capacity in real-time based on current local weather and ambient conditions. Increase line capacity by 10 to 15% over 90% of the time, bridging the gap between urgent capacity needs and grid extension timelines.

This modular, interoperable solution integrates into existing IT/OT workflows of grid control systems and other applications, providing flexibility without vendor lock-in. Dynamic Line Rating is compatible with Spectrum Power and the Gridscale X portfolio for better operator guidance and high grid stability.

Key benefits

Increase line capacity

Dynamic Line Rating can boost the current-carrying capacity of lines and reduce redispatching costs. When used with our Dynamic Security Assessment software, operators can evaluate problems before the thermal limit is reached.

Stay compliant

Dynamic Line Rating is in line with international standards and recommendations (e.g. IEEE, CIGRE). We can help you provide calculated ratings to regulating entities, to comply with regional requirements.

Scale as needed

Leverage general weather data, local measurements, and individual sensor data. Analyze any number of rating points, from single high voltage lines to entire grids, on sub-transmission and transmission levels.

Featured capabilities

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Equipment configuration

Add relevant information during configuration to enable ratings calculation and establish connections to weather data providers. You can define different line data, a library for standard and custom conductor types is available.

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Calculation and forecasting of asset ratings

Gridscale X Dynamic Line Rating calculates asset ratings up to ten days for near-term line capacity based on ambient temperature, solar radiation, conductor type, wind speed, and third-party sensor data.

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Analysis of calculations

Choose from various plotting options. Access historical data from scheduled jobs showing the final rating for the respective timeframe. Compare different calculation jobs to identify critical segments per line.