Predicting the impacts of the major disturbances for better resource managementand situational awareness
© CIRED - 25th International Conference on Electricity Distribution
- Oct 11, 2019 11:45 pm GMT
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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.