Method for diagnosing multiple faults of power distribution network under imperfect fault information

Abstract

The invention discloses a method for diagnosing multiple faults of a power distribution network under imperfect fault information. The method comprises the steps as follows: firstly, obtaining a diagnosis decision table by existing fault information of a power distribution network; then extracting effective information from massive alarm information by complete process classification, and correcting error information in uploaded fault information; finally, writing diagnosis rules into a matrix form, quantifying the probability that a sample to be diagnosed conforms to the diagnosis rules, andobtaining a diagnosis result with the maximum probability. The method can quickly and effectively realize fault diagnosis, and reliability, safety and flexibility of system operation are greatly increased.

Description

technical field [0001] The invention belongs to the application field of distribution network fault diagnosis, and in particular relates to a method for diagnosing multiple faults of a distribution network under non-sound fault information. Background technique [0002] In the process of power system development in my country, the construction of power generation and transmission facilities is relatively large, and the scale and technology are also very complete. Relatively speaking, the investment and improvement of the distribution network system is relatively small. The current situation of unbalanced development of the power system has caused problems of low power supply reliability and power quality, and excessive loads on distribution lines or natural disasters can easily affect normal power supply. At present, the distribution network mainly adopts the most mature SCADA system for monitoring operation and data acquisition. After anomalies or accidents occur in the di...

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Problems solved by technology

[0003] Based on the above analysis, the current distribution network fault diagnosis method cannot handle a large amount of alarm information when dealing with multiple faults; it is relatively inefficient to use the timing characteristics and redundancy characteristics of fault information, which is very important for improving the applicability of the diagnosis method in different models. and accuracy are less helpful; fault tolerance is poor. When there are multiple uncertainties in the fault information, such as protection and circuit breaker refusal to operate or malfunction, fault information uploading speed is slow, wrong or lost, diagnosis The result is less accurate

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