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A quantitative analysis method of influence factors of distribution network line loss

A technology of influencing factors and quantitative analysis, applied in the direction of instruments, data processing applications, resources, etc., to achieve the effect of quantitative analysis

Inactive Publication Date: 2019-02-19
STATE GRID FUJIAN ELECTRIC POWER RES INST +2
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AI Technical Summary

Problems solved by technology

There are many factors affecting the line loss of distribution network, and the factors affect each other. The existing methods generally only carry out qualitative analysis. How to find out the factors that have the greatest influence on line loss through quantitative analysis as the independent variable of the model is to apply various The primary problem faced by an artificial intelligence algorithm for line loss calculation

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  • A quantitative analysis method of influence factors of distribution network line loss
  • A quantitative analysis method of influence factors of distribution network line loss
  • A quantitative analysis method of influence factors of distribution network line loss

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Embodiment Construction

[0024] The invention provides a method for quantitative analysis of factors affecting distribution network line loss, comprising the following steps:

[0025] Step S1. Qualitatively analyze the factors affecting the line loss of the distribution network, including grid layout, transformers, conductors, load characteristics, grid technology, business copy, verification, collection management indicators, electric energy measurement management assessment indicators, and power inspection indicators. A total of p parameters affecting the line loss are used as parameters to be analyzed;

[0026] Step S2, according to the parameters obtained in step S1, from the power grid database, collect the parameter values ​​in n distribution lines to form a sample matrix in, It is an n×p dimensional matrix; the collected line loss rate constitutes a sample vector

[0027] Step S3, taking X as the independent variable matrix and y as the dependent variable matrix, performing partial least ...

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Abstract

The invention relates to a quantitative analysis method for influence factors of distribution network line loss. The factors that affect the line loss of distribution network are selected as the parameters to be analyzed, Sample matrices are constructed by collecting the parameters of several distribution lines from the distribution network database, and the weight vector and score vector are obtained by partial least square method, so as to calculate the importance index of each parameter, so as to realize the quantitative characterization of the influence of each parameter on the distribution network line loss, and to provide the basis for the selection of independent variables of line loss prediction model.

Description

technical field [0001] The invention belongs to the interdisciplinary technical field of distribution network line loss analysis and statistical analysis, and relates to a quantitative analysis method for influencing factors of distribution network line loss. Background technique [0002] The line loss rate is a comprehensive technical and economic index reflecting the economic operation level of the power grid, and an important symbol reflecting the operation and management level of power grid enterprises. By analyzing the influencing factors of the distribution network line loss, and then obtaining an accurate line loss calculation method, it is not only beneficial to reduce the line loss rate and improve the efficiency of power transmission, but also conducive to the design and construction of the distribution network and structural optimization, and improve the efficiency of power grid enterprises. economic benefits. There are many factors that affect the line loss of d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06
Inventor 丁忠安高琛鄢盛腾叶强郭志伟詹世安陈吴晓邓伯发黄阳玥谢国荣林永春蒋敏敏
Owner STATE GRID FUJIAN ELECTRIC POWER RES INST
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