Stationary point coordinate configuration method based on fault nonlinear discrete distribution

Abstract

The invention discloses a stationary point coordinate configuration method based on fault nonlinear discrete distribution, and relates to a stationary point coordinate configuration method. At present, rush-repair efficiency is influenced by rush-repair stationary points. The method comprises the following steps: acquiring historical data, determining the number of rush-repair stationary points according to distribution network resources and the number of maintenance personnel, and enumerating the number K of the rush-repair stationary points; clustering the rush-repair points by using a K-means algorithm and utilizing the coordinate information of the historical work order rush-repair points to obtain corresponding undetermined rush-repair stationary point coordinates; checking the coordinates of the undetermined rush-repair stationary points obtained by clustering, and calculating the average rush-repair duration under the strategy of the undetermined rush-repair stationary points; and taking the rush-repair stationary point strategy with the minimum average rush-repair duration as a final stationary point optimization result. According to the technical scheme, mobile stationarypoint coordinate information is adopted, scientific and reasonable layout of distribution network command and repair stationary point geographic positions is achieved, the time length of a repair teamarriving at a fault site is shortened, the distribution network fault repair work order processing work efficiency is improved, and the power failure fault time is shortened.

Description

technical field [0001] The invention relates to a stagnation point coordinate configuration method, in particular to a stagnation point coordinate configuration method based on fault nonlinear discrete distribution. Background technique [0002] In the context of the current era, with the continuous construction and development of modernization, the scale of electricity consumption has basically achieved full coverage, but the emergency repair station is basically the headquarters of the power supply company, and the coordinates of the station are fixed relative to faults. There will be power outages caused by different reasons such as natural disasters, equipment failures, and power failures. The location of the root cause of the power outage is random, sporadic, and uncertain. Area faults lead to the characteristics of "many points, wide areas, and large quantities" of distribution network equipment emergency repairs, which put higher requirements on the efficiency and qua...

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Problems solved by technology

[0002] In the context of the current era, with the continuous construction and development of modernization, the scale of electricity consumption has basically achieved full coverage, but the emergency repair station is basically the headquarters of the power supply company, and the coordinates of the station are fixed relative to faults. There will be power outages caused by different reasons such as natural disasters, equipment failures, and power failures. The location of the root cause of the power outage is random, sporadic, and uncertain. Area faults lead to the characteristics of "many points, wide areas, and large quantities" of distribution network equipment emergency repairs, which put higher requirements on the efficiency and quality of station emergency repairs, and urgently need to carry out emergency repair mobile stations. Therefore, it is necessary to formulate a scientific and reasonable The resource allocation mode of mobile station emergency repair is extremely important. It solves the contradiction between the user's tolerance for power outages and distribution network emergency repair services, improves the reliability of power supply, and the service quality of power supply service requirements. It is necessary for the emergency repair team to restore the required power delivery in the shortest time. Carrying out mobile coordinate configuration and accurate prediction technology has become a difficult point in the optimization of the mobile station of the emergency repair team

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