Distribution line fault information-based first-aid repair material allocation method

Abstract

According to the distribution line fault information-based first-aid repair material allocation method provided by the invention, the first-aid repair response time required by the distribution line fault can be effectively reduced, the previous distribution line fault is clustered by adopting the improved K-means mean clustering fusion fault information, and the fault information can be quickly judged, thus judging fault type and presenting required first-aid repair personnel, materials and the like; under the condition that the fault type level is high, the problem that the weight of an existing particle swarm algorithm is prone to falling into a local optimal solution can be solved, the training speed of the algorithm is increased, and an optimal material allocation strategy is rapidlysolved and provided. The invention has important significance for improving the fault repair efficiency of the regional distribution line, optimizing the repair material allocation structure and improving the regional power supply reliability.

Description

technical field [0001] The technical field of intelligent distribution network data mining and processing of the present invention, more specifically, relates to a method for allocating emergency repair materials based on fault information of distribution lines. Background technique [0002] The recovery efficiency of the grid in the event of a fault depends on the degree of damage to the grid and the matching level of its recovery capability, while the recovery capability of the grid depends on resource reserves, emergency repair environment, and emergency repair command and decision-making capabilities. Among these problems, the reserve and dispatch of resources are in a key position. The resources reserved by the system are the basic guarantee for the efficient recovery of the system. Under the condition of certain resource reserves, the rational allocation of resources will play a vital role. [0003] In actual power engineering, when the power grid is facing large-sca...

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Problems solved by technology

[0008] S2. Fault information fusion: There are many factors affecting distribution line faults, and the relevant fault information has different performances. Fault information is fused to a certain extent; K-means clustering algorithm is used to cluster distribution line fault accidents, and the existing Fault information, and aiming at the problem of distance calculation in K-means clustering algorithm, an improved K-means clustering algorithm is proposed;

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