Adaptive self-learning method for regulation and control operation decision aided analysis expert model

A self-learning method and auxiliary analysis technology, applied in the field of power grid regulation and operation of the power system, can solve problems such as irrelevance, and achieve the effect of improving work efficiency and widening engineering application value.

Inactive Publication Date: 2018-05-25
ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +3
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AI Technical Summary

Problems solved by technology

The performance and structure of intelligence are related to the representation and organization of the model, but not to the content of known knowledge

Method used

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  • Adaptive self-learning method for regulation and control operation decision aided analysis expert model

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Embodiment Construction

[0026] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0027] A self-adaptive self-learning method of an expert model for auxiliary analysis of control operation decision-making, such as figure 1 shown, including the following steps:

[0028] Step 1. Initially establish an expert model for auxiliary analysis of regulation and operation;

[0029] The specific method of the initial establishment of the control operation auxiliary analysis expert model in the step 1 is as follows: firstly, through fuzzy theory and natural language processing technology, analyze the control of unstructured operating procedures, maintenance applications, new equipment delivery orders and protection configuration information Relevant data form a data structure that can be recognized by the computer; and according to the internal correlation between the regulation-related data and regulation operations of maintenance applica...

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Abstract

The invention relates to an adaptive self-learning method for a regulation and control operation decision aided analysis expert model. The method is characterized in that the method comprises the following steps: 1) initially establishing the regulation and control operation decision aided analysis expert model; 2) automatically generating a regulation and control operation scheme; 3) carrying outeffectiveness verification on the generated regulation and control operation scheme; 4) realizing automatic computer learning of the operation scheme, and carrying out automatic adjustment on the initially-established regulation and control operation decision aided analysis expert model according to the effectiveness verification result; 5) manually adjusting the operation scheme, and carrying out automatic model correction through a computer according to the manually-adjusted operation scheme; and 6) repeating the steps 3)-5) until the effectiveness verification result of the step 3) is correct. The method can realize high-speed and intelligent accurate calculation, provides aided analysis for emergency quick decision of a dispatcher, and has a wide engineering application value.

Description

technical field [0001] The invention belongs to the technical field of power system grid regulation and control operations, and relates to an adaptive self-learning method of an expert model for auxiliary analysis of operation scheme decision-making in regulation and control operations, in particular to an adaptive self-learning method for an expert model of auxiliary analysis of decision-making for regulation and control operations. Background technique [0002] In recent years, artificial intelligence technology has been widely used in the field of power system grid regulation technology. The development of existing artificial intelligence technology can be divided into the following stages: [0003] In the 1950s, Turing published a paper on "Computers and Intelligence" and proposed the famous "Turing Test", which vividly pointed out what artificial intelligence is and the criteria for machines to have intelligence, which had a great impact on the development of artificial ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N99/00
CPCG06Q10/0631G06Q10/067G06Q50/06G06N20/00
Inventor 马世乾黄志刚王旭东李国栋王强王伟臣杨晓静王健郝达智王洋高圣源李炳志肖志强孙博江妍
Owner ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO
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