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Data mining-based prediction method for electromagnetic environment parameters of power transmission line

An electromagnetic environment and transmission line technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that linear models cannot describe nonlinear models, etc. The effect of practical value

Active Publication Date: 2018-02-09
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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  • Abstract
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Problems solved by technology

Current models of the electromagnetic environment suffer from two important deficiencies: first, most models are trained via multiple linear regression, and linear models cannot describe complex nonlinear models

Method used

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  • Data mining-based prediction method for electromagnetic environment parameters of power transmission line
  • Data mining-based prediction method for electromagnetic environment parameters of power transmission line
  • Data mining-based prediction method for electromagnetic environment parameters of power transmission line

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Embodiment Construction

[0050] A method for predicting electromagnetic environment parameters of transmission lines based on data mining, such as figure 1 shown, including the following steps:

[0051] S1: collect data, the data includes the basic parameters of the line, the electromagnetic environment parameters, the space electric field parameters and the ion flow parameters. In this embodiment, the basic parameter information of the ±800kV DC transmission line and its corresponding electromagnetic environment parameters, space electric field parameters and ion flow parameters are mainly collected. The specific parameters and units are as follows:

[0052] Basic line parameters:

[0053] The number of split wires, the diameter of sub-wires (cm), the distance between split wires (cm), the distance between poles (m), the average height of wires (m), and the altitude (m);

[0054] Electromagnetic environment parameters:

[0055] Corona discharge (CL, kW / km), radio interference (RI, dB), audible n...

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Abstract

The invention discloses a data mining-based prediction method for electromagnetic environment parameters of a power transmission line. The method comprises the following steps of (1) collecting data;(2) partitioning the data; (3) analyzing a relationship among the electromagnetic environment parameters; (4) analyzing a relationship between a spatial electric field and an ion current parameter; (5) analyzing main factors influencing an electromagnetic environment; and (6) predicting the electromagnetic environment parameters and spatial electric field parameters. By applying the method, line parameters such as a wire type, a wire splitting interval, an inter-polar distance and the like can be further optimized in a line design stage; a more environment-friendly power network development mode is realized; power transmission corridors are reduced as far as possible; land acquisition and construction costs of the line are reduced; and the method has major engineering practical values.

Description

technical field [0001] The invention belongs to the technical field of electric power system electromagnetic environment protection, and in particular relates to a method for predicting electromagnetic environment parameters of transmission lines based on data mining. Background technique [0002] The electromagnetic environment is the main consideration in the design of transmission lines, and the source of the electromagnetic environment of transmission lines is the corona discharge of the line. On the one hand, corona discharge will cause power loss and increase the cost of power transmission; on the other hand, it will affect the electromagnetic environment around the wire and further interfere with people's normal life. With the continuous development of the economy and the enhancement of people's environmental awareness, the electromagnetic environment problem has attracted more and more attention. The electromagnetic environment problem of transmission lines has becom...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20G06F2113/16
Inventor 尹立群郭丽娟张玉波张炜吴秋莉颜海俊邬蓉蓉
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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