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What is it?
The line monitoring module provides insight into the real-time condition and historical performance of a specific power line. The line monitoring page aggregates data from multiple neurons along the line to provide the user with information on line loading, temperature, and excess capacity for the whole line. The line monitoring page can also be used to view historical data and performance.
The line monitoring page in Heimdall Cloud
Contents
The Line Monitoring page has been designed to present the user with real-time observations of the line, a long along with contextual information such as weather - data and historical events on the line. Users can select custom time intervals to view historical data , or use the shortcuts available on the main dashboard.
The top bar contains the basic information about the selected power line: line type, operational limits, voltage level, and number of spans monitored on the line. The four cards in the center display the latest measurement from the line: the the highest current and temperature, its ampacity, and the lowest clearance on the line.
The line monitoring plot contains aggregated values for all the neurons on the line. The default values are:
Max Current (A) - The highest measured current on the line
Max Wire temperature (C) - The highest measured temperature on the line
HP Dynamic Line Rating (A) - The valid ampacity of the line based on the critical span
Users can select different aggregation types (MIN, MAX, AVG) and DLR models from the plot.
The meteogram Meteogram contains aggregated weather data for the line
The sag and clearance plot contains the sag model and time series for the span which currently has the lowest clearance on the line.
The event log contains a list of active and historical events for the line.
How to use
The line monitoring page contains observational data and can be used in a variety of situations.
When a line is taken out of service, either for maintenance or due to an outage, the line monitoring page can be used to check for effects on adjacent lines and check whether thermal and sag limits are being upheld.
In n-1 situations or contingencies where the load needs to be rerouted, users can verify the effects of these decisions by observing the changes on the line being observed.
Planners and operational engineers use the line monitoring page to examine historical data, in order to better understand each line's performance and make data-driven maintenance and investment decisions.
Examples?