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Power distribution network equipment fault studying and judging method based on machine learning algorithm model

An algorithm model and technology of equipment failure, applied in the direction of fault location, instrument, measuring power, etc., can solve the problems of accumulation of faults and low processing efficiency of distribution network equipment, and achieve the effect of improving processing efficiency and management and control

Pending Publication Date: 2021-11-09
STATE GRID NINGXIA ELECTRIC POWER +3
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Problems solved by technology

[0003] The purpose of the present invention is to provide a fault research and judgment method for distribution network equipment based on a machine learning algorithm model, which aims to solve the problem of transmitting fault information to the terminal in the prior art, and the terminal obtains fault information by manually analyzing the fault signal. The total number of distribution network equipment is large, and only relying on manual identification of fault conditions will cause accumulation of fault conditions and lead to technical problems such as low processing efficiency of distribution network equipment

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  • Power distribution network equipment fault studying and judging method based on machine learning algorithm model
  • Power distribution network equipment fault studying and judging method based on machine learning algorithm model
  • Power distribution network equipment fault studying and judging method based on machine learning algorithm model

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Embodiment Construction

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0045] In describing the present invention, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than Nothing indicating or implying that a referenced device or element...

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Abstract

The invention relates to the technical field of power distribution network faults, in particular to a power distribution network equipment fault studying and judging method based on a machine learning algorithm model, and the method comprises the steps: obtaining the information of a power supply transformer at a fault point, specifically the code and type of the transformer; establishing a power grid equipment topology model by analyzing a general information model; analyzing fault information of the power distribution equipment through the topology model; analyzing the fault information obtained by the general information topology model, and obtaining a meter to be repaired; uploading the meter to be repaired to an external terminal, so that full-type decision making, full-information monitoring, full-online management and control and full-process control of the power distribution network faults are realized, and the processing efficiency and management and control strength of the power distribution network faults are further improved.

Description

technical field [0001] The invention relates to the technical field of power distribution network faults, in particular to a method for researching and judging faults of power distribution network equipment based on a machine learning algorithm model. Background technique [0002] At present, the power system is a huge and complex system. It is difficult to obtain a complete knowledge base. In the case of a large amount of fault information, the fault information is currently transmitted to the terminal, and the terminal manually analyzes the fault signal to obtain the fault situation. information, but the total number of distribution network equipment is large, and only relying on manual identification of fault conditions will cause accumulation of fault conditions, resulting in low processing efficiency of distribution network equipment. Contents of the invention [0003] The purpose of the present invention is to provide a fault research and judgment method for distribu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01R31/08
CPCG01R31/00G01R31/08
Inventor 何玉鹏冯晓群朱林何锐张金鹏张仁和岳文泰唐婷祁升龙杨安家张少敏李辉李心可
Owner STATE GRID NINGXIA ELECTRIC POWER
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