Power distribution network fault positioning method based on GIS

Abstract

A power distribution network fault positioning method based on a GIS is disclosed. The method comprises the following steps of firstly, aiming at a power distribution network fault positioning problem, analyzing errors, misinformation, low efficiency and other disadvantages caused by the fault positioning method adopted at a current stage, carrying out data collection for a power distribution network and a covered geographic position, and establishing a power distribution network topology model based on the GIS in ArcGIS Pro; and secondly, with the help of the spatial network analysis, the network analysis and the visual expression function of the GIS, through combining the classical theory of a bayes formula, establishing the scientific and reasonable power distribution network fault positioning method. The invention provides the power distribution network fault positioning method capable of accurately positioning a fault.

Description

technical field [0001] The invention relates to a fault location, smart grid, and computer application fields, in particular to a GIS-based distribution network fault location method. Background technique [0002] The electric power industry is my country's energy pillar industry, which is closely connected with people's life, commerce, industry and other industries. The distribution network connects high-voltage transmission lines and low-voltage users, which directly affects the daily life of thousands of households. With the rapid development of my country's economy, people's living standards continue to improve, and the coverage of the distribution network is constantly expanding. The complexity of the inter-circuit loop is relatively higher and higher, and the difficulty of fault detection is also higher and higher. Timely and accurate analysis and location of distribution network faults have a great impact on improving the reliability of power supply and ensuring distri...

AI Technical Summary

Problems solved by technology

The unified matrix algorithm constructs the adjacency matrix according to the connection status of each switch in the topological model of the distribution network in the GIS system. This algorithm is completely suitable for complex and changeable power grid systems. The system data is stored in a matrix, which is efficient and easy to implement. However, when When the monitoring information of the distribution network is disturbed, the data will be lost, and the accuracy of the data is not easy to guarantee, which will cause misjudgment and missed judgment.

Neural networks and genetic algorithms do not consider data distortion in most cases, which will lead to errors in data sets, poor fault tolerance of algorithms, and low efficiency and poor practicability

[0007] Therefore, through the research on the current distribution network fault location methods, it is found that there will be many errors in the process of monitoring data transmission. The current distribution network fault location method has defects and needs to be improved.

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