Euclidean distance-based distribution network line fault section locating method

Abstract

The invention discloses a Euclidean distance-based distribution network line fault section locating method. According to the method, as for a grounding fault, phase current feature of fault phase current before a fault occurs and during a time period from a time point when the fault occurs to a time point before an arc suppression coil acts are analyzed, and phase feature quantity is extracted from the phase current feature, and positioning is performed through adopting a whole-process waveform Euclidean distance. With the Euclidean distance-based distribution network line fault section locating method of the invention adopted, only the fault phase current of a line should be measured, and problems of weak fault current, low reliability and low sensitivity which universally occur when a single-phase grounding fault of a small-current grounding system appears can be solved, and interference will not be led into the system. The Euclidean distance-based distribution network line fault section locating method has the advantages of simple scheme and high applicability.

Description

technical field [0001] The invention relates to a method for diagnosing faults of distribution network lines, in particular to a method for locating fault sections of distribution network lines based on Euclidean distance. Background technique [0002] According to statistics, during the operation of the power system, power outages caused by distribution network faults account for more than 95% of the total power outages, of which 70% are caused by single-phase ground faults or busbar faults. The neutral point of domestic and foreign distribution networks widely adopts non-effective grounding (small current grounding) to avoid power supply interruption when a single-phase grounding fault occurs. For single-phase-to-ground faults in distribution networks, due to weak fault characteristics, there has been a lack of reliable fault line selection and location methods. With the improvement of people's requirements for distribution network automation level, it is more urgent to f...

AI Technical Summary

Problems solved by technology

[0004] The current positioning methods only use the data after the fault occurs, while ignoring the use of pre-fault information

At the same time, most positioning methods only consider zero-sequence current information (three-phase information is required), which requires high transformers and complicated information acquisition, and these methods will fail when the data is missing

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