Unmanned aerial vehicle fault analysis system based on Beidou ground-based augmentation network and construction method

Abstract

The invention discloses an unmanned aerial vehicle fault analysis system and construction method based on a Beidou ground-based enhanced network, and the method comprises the construction of a distribution network line position display module, the construction of a distribution line fault online monitoring and positioning module, and the construction of an unmanned aerial vehicle fusion linkage module. And the unmanned aerial vehicle linkage fusion module is used for providing support for construction of the distribution network line position display module and the distribution line fault online monitoring and positioning module. According to the invention, the fault location can be accurately positioned, the fault reason can be rapidly obtained, the charging mode of the unmanned aerial vehicle is more flexible, and the charging efficiency is high.

Description

technical field [0001] The invention relates to the technical field of electric power emergency repair, in particular to a UAV fault analysis system and construction method based on a Beidou ground-based enhanced network. Background technique [0002] The distribution network is an important part of the power system, and its operation and maintenance level directly affects the reliability of power supply for users. The distribution network in mountainous areas from the occurrence of the fault to the determination of the fault, and finally the effective isolation of the fault is completed by the distribution automation system, but the precise location of the fault in the distribution network in the mountainous area is extremely difficult to accurately determine, and it is difficult for the operation and maintenance personnel to quickly locate the fault point. bigger. [0003] For overhead lines of transmission network, a variety of online fault location methods have been pro...

AI Technical Summary

Problems solved by technology

However, when this technology is used for distribution line fault monitoring, the distribution line has many branches and complex structure, and the distribution system is mostly a small current grounding system. The existing fault indicator and feeder automation system (FTU, DTU, protection device ) cannot effectively detect single-phase grounding faults in small current grounding systems, and short-circuit faults can only be located between two adjacent sets of fault indicators or segmental switches

In addition, the spatial positioning of distribution network lines is inaccurate, making it difficult to accurately locate faults, and cannot effectively guide operation and maintenance personnel to find the location of the fault point, resulting in time-consuming and laborious fault finding, heavy work tasks, and greatly affecting the reliability of power supply

[0004] Secondly, the distribution line itself lacks effective insulation status assessment and early warning capabilities. The current methods include partial discharge, temperature, chemical, optical measurement and other methods

The partial discharge range is limited (ultra-high frequency signals attenuate quickly, and the range is less than tens of meters. It is generally used in the partial discharge monitoring of the switchgear itself, and the installation of partial discharge monitoring along the power line is difficult and costly). The environmental impact is relatively large, and it is difficult to carry out accurate quantitative analysis

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