Power system risk assessment methods and systems considering deep feature mining under extreme weather conditions

A device for assessing power system operation risk under extreme weather conditions by considering deep feature mining, comprising:

• a data acquisition unit, a model training unit, and a risk assessment unit,
• wherein the data acquisition unit obtaining the network topology of the power system and dividing the entire power system into regions according to the geographical location;
• constructing a correlation model of strong wind extreme weather in multiple regions of the power system in combination with the historical wind speed data;
• constructing a strong wind scenario sample set for each region according to the correlation model;
• obtaining the transmission line failure probability of the corresponding region under each strong wind scenario in the strong wind scenario sample set;
• and
• obtaining the operation data and operation risk value of the power system under the corresponding operation condition after randomly assigning a power system operation condition to each strong wind scenario in each region;
• the model training unit constructing a training sample set and a risk assessment model, and training the risk assessment model with the training sample set;
• the risk assessment unit performing an operation risk assessment on the power system using the constructed risk assessment model,
• generating a power system operation risk score, and
• outputting the operation risk score of the power system.