Power distribution network fault power failure sensing analysis method and device

Abstract

The invention discloses a power distribution network fault power failure sensing analysis method and device. The power distribution network fault power failure sensing analysis method comprises the steps of acquiring power failure warning signals, acquiring power failure warning signals of different terminals under the same line according to the power failure warning signals, and obtaining a plurality of power failure warning signals; rejecting the plurality of power failure warning signals according to a preset screening rule to obtain a power failure warning event; obtaining a topological relation corresponding to the power failure warning event, according to the topological relation and the number of superior branch switches, the number of terminals connected with the superior branch switches, the number of alarm terminals and a preset number threshold value, determining whether the corresponding superior branch switches are suspected fault equipment or not, so as to generate a suspected fault power failure warning event; obtaining a power failure alarm event set, and obtaining final power failure warning event according to the power failure warning event set; and determining communication information corresponding to the final power failure warning event according to the final power failure warning event and a preset database. According to the invention, the judgment accuracy of the fault power failure warning event is improved.

Description

technical field [0001] The invention relates to the technical field of distribution networks, in particular to a method and device for detecting and analyzing faults and outages of distribution networks. Background technique [0002] Most of the existing power outage perception and analysis methods are based on the power outage signal of a single automation system to judge and process, and do not make auxiliary judgments based on real-time voltage and current data and alarm signals from other automation systems, and most of them are based on power outages after power is restored. Relevant alarm signals are screened and analyzed, and the processing methods for some error signals and error signals are too simple, resulting in low accuracy, poor real-time performance, and a narrow range of data applicable to business, which cannot effectively support service scheduling to proactively respond to faults and power outages The development of early warning business. Contents of th...

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Problems solved by technology

[0002] Most of the existing power outage perception and analysis methods are based on the power outage signal of a single automation system to judge and process, and do not make auxiliary judgments based on real-time voltage and current data and alarm signals from other automation systems, and most of them are based on power outages after power is restored. Relevant alarm signals are screened and analyzed, and the processing methods for some error signals and error signals are too simple, resulting in low accuracy, poor real-time performance, and a narrow range of data applicable to business, which cannot effectively support service scheduling to proactively respond to faults and power outages Development of early warning business

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