Intelligent allocation method for power first-aid repair team

Abstract

The invention belongs to the technical field of electric power first-aid repair, and discloses an intelligent allocation method for a power first-aid repair team, and the method comprises the steps of dividing a region where natural disasters are predicted to occur into a plurality of standard grids, and collecting the meteorological information, geographic information and power grid information corresponding to each standard grid; predicting the number of power failure users in each standard grid in combination with a random forest algorithm; performing risk level grading on each standard grid, and screening the standard grids with the risk level higher than a preset risk level as emergency repair grids; and obtaining an allocation scheme according to the obtained first-aid repair grid and a preset decision model. The invention has the beneficial effects that the possible power failure number of the area is predicted according to the collected weather information, geographic information and power grid information of the area where the natural disaster possibly occurs, a feasible first-aid repair team allocation scheme is formulated in advance, response can be made in the first time after the natural disaster occurs, secondary loss is avoided, and the normal life of people is ensured.

Description

technical field [0001] The invention relates to the technical field of electric power emergency repair, in particular to an intelligent allocation method for an electric electric emergency repair team. Background technique [0002] With global warming, extreme weather is increasing. Severe weather, especially typhoon weather, is extremely harmful to the power system. Strong winds will cause towers to collapse and lines to be disconnected; heavy rain will cause towers to topple and damage electrical insulation of substations, causing great harm to the normal operation of the power system and causing great inconvenience to people's daily life. [0003] In order to ensure the safety of people's material property and normal production and life, it is necessary to carry out emergency repairs in a timely manner after a disaster occurs. However, the existing emergency repair methods are to allocate emergency repair teams after natural disasters, and need to wait and collect disast...

AI Technical Summary

Problems solved by technology

Strong winds can cause towers to collapse and lines to be disconnected; heavy rain can cause towers topple over and damage the electrical insulation of substations, causing great harm to the normal operation of the power system and causing great inconvenience to people's daily life

[0003] In order to ensure the safety of people's material property and normal production and life, it is necessary to carry out emergency repairs in a timely manner after a disaster occurs. However, the existing emergency repair methods are to allocate emergency repair teams after natural disasters, and need to wait and collect disaster information. Respond to the disaster situation in the first time, and the acquisition of post-disaster loss information is relatively slow. After the post-disaster loss information is obtained, the emergency repair allocation will delay the precious emergency repair time, and may cause secondary damage and affect the normal life of the people.

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