Power grid tripping event intelligent identification method based on knowledge graph

A technology of knowledge graph and intelligent identification, applied in the field of intelligent judgment of power grid trip events, can solve problems such as strong randomness of state, large scale of objects, wrong instructions, etc., and achieve the effect of reducing the difference of understanding

Pending Publication Date: 2020-10-13
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO +1
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Problems solved by technology

[0002] With the rapid development of the power system and the access of various new energy sources and new loads, the operation mode of the power grid is becoming increasingly complex. The dispatchers need to judge the large scale of objects, the strong randomness of the state, and the serious consequences of command errors. Personal experience is not enough Ensure safe and reliable operation

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  • Power grid tripping event intelligent identification method based on knowledge graph
  • Power grid tripping event intelligent identification method based on knowledge graph

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[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0035] In order to solve the problems of non-standard compilation of monitoring information, understanding deviations, limitations of personnel professional background, improper maintenance of power grid models, and weak information correlation between power systems, etc., the prese...

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Abstract

The invention discloses a power grid tripping event intelligent identification method based on a knowledge graph. The method is based on a knowledge graph technology and a natural language processingtechnology in the field of artificial intelligence. Based on power system knowledge characteristics, the monitoring service work flow and the power grid tripping event judgment logic are deeply studied; based on learning of historical sample data of a power grid tripping event and through knowledge extraction and fusion, the method constructs a power grid tripping event knowledge triple model, forms an association relationship among the entities and completes disambiguation of information with uncertainty, thereby reducing understanding difference caused by improper personnel maintenance or professional barriers and realizing intelligent identification of power grid tripping events; knowledge reasoning is performed based on the knowledge graph, cross confirmation and more information collection are completed in combination with related power grid state perception, and the response efficiency of power grid tripping events is improved while the service pressure of power grid monitoring personnel is effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to an intelligent judgment technology of a power grid tripping event. Background technique [0002] With the rapid development of the power system and the access of various new energy sources and new loads, the operation mode of the power grid is becoming increasingly complex. The dispatchers need to judge the large scale of objects, the strong randomness of the state, and the serious consequences of command errors. Personal experience is not enough Ensure safe and reliable operation. At the same time, with the development of artificial intelligence technologies such as machine learning, natural language processing, and knowledge graphs, the auxiliary decision-making robot can intelligently perceive the state of the power grid, analyze the working logic connotation of text-like natural language, and integrate multi-dimensional information based on the enti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/36G06F40/289G06F40/30
CPCG06Q10/0635G06Q50/06G06F16/367G06F40/289G06F40/30Y04S10/50Y02D10/00
Inventor 沈祥张锋明孙滢涛钱建国谢栋李英金红华陈培东任明辉莫莉晖孙卫东
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO
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