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White Paper

Predicting the impacts of the major disturbances for better resource managementand situational awareness

image credit: © CIRED - 25th International Conference on Electricity Distribution

This paper will present a method and a tool to help with the resource allocation in major disturbance situations based on system made prediction. Prediction algorithm uses network information from network information system and combines it with the latest weather forecast data available. This tool predicts the amount of medium- and low-voltage faults in defined geographical service areas based on weather forecast, technical information from the network, fault statistics, fault repairing time and environmental conditions. Fault forecast is introduced for the next 3, 6, 12 and 24 hours.

Paper was presented at CIRED2019 in Madrid this June and it gives a small peek into the work done to create the tool.

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Lauri Anttila's picture

Thank Lauri for the Post!

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Matt Chester's picture
Matt Chester on Oct 15, 2019 1:11 pm GMT

This seems like a valuable tool for forward-looking utilities, thanks for sharing Lauri. Have you gotten specific interest from utilities into adapting and taking advantage of your tool?

Lauri Anttila's picture
Lauri Anttila on Oct 17, 2019 5:07 am GMT

Thanks for asking! The concept has been interesting to many DSOs, but the principles could work also in gas, district heating & water pipelines (even those are not so vulnerable to falling trees etc). 


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