Power distribution network fault repairing resource scheduling method and apparatus

Abstract

The embodiment of the application discloses a power distribution network fault repairing resource scheduling method. The method comprises: receiving an inputted power distribution network fault point set as the input of a resource scheduling model; conducting calculating to obtain a resource scheduling optimal feasible solution based on the repairing resource scheduling model, wherein the resource repairing model is a fault repairing time function considering fault emergency degree; and scheduling the fault repairing resources according to the input of the resource scheduling model. The embodiment of the application further discloses a power distribution network fault repairing resource scheduling apparatus. With the method and the apparatus of the embodiment of the application, the scheduling efficiency and the resource utilization rate of the fault repairing resource scheduling are improved.

Description

technical field [0001] The present application relates to the technical field of power systems, and in particular to a resource scheduling method and corresponding device for distribution network fault repair. Background technique [0002] The power system is a huge network system of power production and consumption composed of power generation, power transmission, power transformation, power distribution and power consumption. In this system, the distribution network plays the role of distributing power to distribution stations or various power loads. important role. The distribution network includes overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensation capacitors, and some ancillary facilities. These distribution network power equipment will have power failures due to various reasons during operation. To ensure For the normal operation of the distribution network, it is necessary to repair the equipment that has a power...

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Problems solved by technology

[0004] However, this genetic algorithm-based repair resource scheduling strategy either takes the shortest repair path or takes the fault and outage load as the objective function. The genetic algorithm considers fewer factors and cannot meet the multi-objective requirements of scheduling. When the calculation sample space involved is large, it is difficult to converge in a short time, and it is easy to obtain a local optimal solution, thereby reducing the scheduling efficiency of distribution network fault repair resource scheduling and the overall utilization of repair resources

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