Low-voltage power distribution network fault diagnosis method based on multi-source information fusion

A multi-source information fusion, low-voltage distribution network technology, applied in fault locations, circuit breaker testing, information technology support systems, etc., can solve fault diagnosis, it is difficult to obtain accurate diagnosis results, protection and circuit breaker information loss Problems, to achieve accurate comprehensive diagnosis results, solve the effect of inaccurate information

Pending Publication Date: 2020-12-18
GUIZHOU POWER GRID CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Most of the existing fault diagnosis methods are based on a single switch value information for power grid fault diagnosis. Due to many uncertain factors such as protection and circuit breaker misoperation, refusal to operate, and information loss due to channel interference, fault diagnosis based solely on switch value information Difficult to obtain accurate diagnosis

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  • Low-voltage power distribution network fault diagnosis method based on multi-source information fusion
  • Low-voltage power distribution network fault diagnosis method based on multi-source information fusion
  • Low-voltage power distribution network fault diagnosis method based on multi-source information fusion

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Embodiment 1

[0045] At present, most low-voltage power grid fault diagnosis methods use switching information such as protection actions and circuit breaker trips for diagnosis, but the switching information has uncertain factors such as misoperation, refusal to operate, and information loss, which have a great impact on the fault diagnosis results. .

[0046] The existing intelligent algorithm has made a lot of improvements to the inaccuracy and incompleteness of fault information. Although it can improve the influence of these uncertain factors on the diagnosis results to a certain extent, the accuracy of the diagnosis results needs to be further improved. In the increasingly complex environment of large power grids, most intelligent algorithms have poor network adaptability and complex model structures when diagnosing switching quantities. Therefore, there is an urgent need for a method that can effectively solve the problem of inaccurate information faced by single data sources of switc...

Embodiment 2

[0117] refer to figure 2 , is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a verification of a low-voltage distribution network fault diagnosis method based on multi-source information fusion, including:

[0118] refer to figure 2 , when a fault occurs, the fault recorder can obtain the waveform of each phase current of the component. In order to simplify the information fusion model, this embodiment calculates the wavelet fault representation for each phase current of the component respectively, and selects the maximum value as the wavelet fault representation of the component. And select a fault case somewhere in my country's Southern Power Grid, and diagnose it after simplification.

[0119] Fault occurs on line L 1 In terms of accidents, misoperation, refusal to operate and human errors (protection wiring errors, etc.) caused the accident to expand, and the accident eventually caused 6 lines t...

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Abstract

The invention discloses a low-voltage power distribution network fault diagnosis method based on multi-source information fusion, and the method comprises the steps: preprocessing collected low-voltage power distribution network fault information to obtain a fault probability representation; constructing an information fusion model based on a D-S evidence theory synthesis rule by utilizing the fault probability representation; quickly selecting an initial clustering center to improve a C-mean algorithm in combination with a quick density peak search algorithm; and establishing a diagnosis decision model based on a gamma function, performing initial classification on elements in combination with an information fusion model, correcting the initial classification by using an improved C-mean algorithm, and determining a faulty element. Based on analysis of double data sources of switching quantity and electrical quantity, the defects of inaccurate information, incomplete information and the like faced by a single data source of switching quantity information are effectively solved, information fusion is carried out on the basis of an improved D-S evidence theory, and the problem that fusion results are inaccurate due to serious mutual conflicts among evidence bodies is solved.

Description

technical field [0001] The invention relates to the technical field of distribution network fault processing, in particular to a low-voltage distribution network fault diagnosis method based on multi-source information fusion. Background technique [0002] As the structure of the low-voltage distribution network becomes more and more complex, the application of intelligent electronic devices such as digital protection and fault recorders in the power grid has become more and more common, and the acquisition of various fault information is also more convenient. Most of the previous power grid fault diagnosis methods are based on switching information, including expert systems, neural networks, optimization algorithms, Bayesian methods, and Petri nets. At present, the advantages of using multi-source information fusion technology for power grid diagnosis are becoming increasingly prominent. [0003] Most of the existing fault diagnosis methods are based on a single switch val...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G01R31/08G01R31/327G01R31/333
CPCG01R31/086G01R31/333G01R31/3275G01R31/088G06V10/44G06F2218/06G06F2218/08G06F2218/12G06F18/23G06F18/257G06F18/25G06F18/24Y04S10/52
Inventor 冯义徐长宝徐宏伟张腾飞陈娜晋斌刘海姣李鹏程田昕泽孟悦恒王雷戴雯菊
Owner GUIZHOU POWER GRID CO LTD
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