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What is it?
The line forecasting page provides accurate and statistically valid ampacity and temperature forecasts for monitored lines. This allows operators you, as an operator, to regulate the capacity of their power lines safely and efficiently. By In addition, by leveraging the power of forecasts, operators , you, as a user, can become more proactive and respond quicker quickly to contingency situations, even before they ever occur.
The forecasting page is designed to provide operators you as an operator with the means to make operational decisions for monitored power lines.
Contents
The Forecasting page consists of two main components:
The forecasting plot contains both recent observations about line loading, DLR, and temperature and , together with forecasted values for line capacity and temperature values for the selected time interval.
The meteogram Meteogram contains both recent observations of weather, as well as weather observations and forecasted values for the selected time interval for the following parameters.
Ambient temperature (°C)
Precipitation (mm)
Wind speed (m/s)
Wind direction
The line forecasting page offers three separate models
two separate models.
CIGRE TB 601: Weather- Weather based DLR
IEEE Std 738-2012: Weather- Weather based DLR
The Synapse RTR model supports user-defined confidence intervals which express the certainty of the forecast provided. The following confidence intervals are supported
99%
95%
90 %
85 %
A third method based on machine learning is under construction—more info to come.
How to use
By setting the desired confidence interval and forecasting period, you can easily see your lines' statistically valid ampacity and temperature forecasts. This can, for example, be used when planning day-ahead operations. In addition, by operating with respect to the forecasted value for the whole line, you as an operator can use the power line to the maximum capacity without overloading any of the critical spans.
When planning a disconnection of a power line, you can use the forecasting feature to investigate if a given power line has the available capacity to transmit the disconnected line's load. Therefore, the forecasting feature can be an important tool in contingency situations, offering powerful insight.