Data-driven power distribution network cable variable relationship diagnosis method, device and system

A data-driven, diagnostic approach to technology

Active Publication Date: 2020-07-24
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The correct distribution network line change relationship is the research basis for power system line loss calculation, planning and design, and stabl...

Method used

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  • Data-driven power distribution network cable variable relationship diagnosis method, device and system
  • Data-driven power distribution network cable variable relationship diagnosis method, device and system
  • Data-driven power distribution network cable variable relationship diagnosis method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] An embodiment of the present invention provides a data-driven method for diagnosing distribution network line-change relationships, including the following steps:

[0089] Based on the adaptive time window sliding method, the correlation coefficient between each distribution transformer and its original feeder in different time windows is calculated;

[0090] The maximum correlation coefficient between each distribution transformer and its original feeder is selected as the intermediate correlation coefficient between each distribution transformer and its original feeder;

[0091] Based on the idea of ​​virtual agent, all intermediate correlation coefficients are corrected to obtain the high-level correlation coefficients between each distribution transformer and its original feeder;

[0092] Based on the high-level correlation coefficient, the high-level correlation coefficient threshold is calculated, and the suspected abnormal distribution transformer of the line-to-...

Embodiment 2

[0153] Based on embodiment 1, the difference between the embodiment of the present invention and embodiment 1 is:

[0154] Such as figure 2 As shown, before the step of calculating the correlation coefficient between each distribution transformer and its original feeder in different time windows based on the adaptive time window sliding method, it also includes:

[0155] Obtain relevant data on distribution transformers and feeders in a medium-voltage distribution network:

[0156] Denoising processing is performed on the obtained relevant data of distribution transformers and feeders in the distribution network, and the relevant data of distribution transformers and feeders after denoising are obtained.

[0157] In a specific implementation manner of the embodiment of the present invention, the acquisition of the relevant data of the distribution transformer and the feeder in the medium-voltage distribution network can be realized through the following steps:

[0158] Sele...

Embodiment 3

[0168] An embodiment of the present invention provides a data-driven distribution network line change relationship diagnosis device, including:

[0169] A calculation unit, configured to calculate the correlation coefficient between each distribution transformer and its original feeder in different time windows based on the adaptive time window sliding method;

[0170] The first screening unit is used to screen out the maximum correlation coefficient between each distribution transformer and its original feeder as the intermediate correlation coefficient between each distribution transformer and its original feeder;

[0171] The correction unit is used to correct all intermediate correlation coefficients based on the idea of ​​virtual agent to obtain high-level correlation coefficients between each distribution transformer and its original feeder;

[0172] The second screening unit is used to calculate the threshold value of the high-level correlation coefficient based on the ...

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Abstract

The invention discloses a data-driven distribution network cable variable relationship diagnosis method, device and system. The method comprises the following steps: calculating correlation coefficients between distribution transformers in different time windows and original affiliated feeders of the distribution transformers; screening out the maximum correlation coefficient as the intermediate correlation coefficient of each distribution transformer; correcting all intermediate correlation coefficients based on a virtual agent thought to obtain advanced correlation coefficients of each distribution transformer; based on the advanced correlation coefficient, calculating an advanced correlation coefficient threshold, and screening out a line-to-transformer relationship suspected abnormal distribution transformer; and correcting the line change relationship suspected abnormal distribution transformer to the most possible feeder line, and if the corrected feeder line is different from the original feeder line, determining that the suspected abnormal distribution transformer is the distribution transformer with the wrong line change relationship. The method can be used for identifyingthe distribution network line change relationship errors of any scale, is simple in calculation and clear in principle, and can help distribution network operation personnel to discover line change relationship connection errors in time.

Description

technical field [0001] The invention belongs to the technical field of distribution network line-to-change relationship diagnosis, in particular to a data-driven distribution network line-to-line change relationship diagnosis method, device and system, in particular to a medium-voltage data-driven distribution network line-to-line relationship diagnosis method, device and system. Background technique [0002] The line-to-line transformation relationship of the medium-voltage distribution network is composed of medium-voltage feeders, distribution transformer loads, tie switches, and transmission lines. System (Power Management System, PMS). However, due to the frequent switching and updating of configurations of a large number of contact switches in the actual operation process, the low accuracy of measuring devices, and the poor subjectivity of manual operation, it is difficult to match the current distribution network line change relationship with the field. [0003] The...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/18G06K9/62
CPCG06Q10/06393G06Q50/06G06F17/18G06F18/2321
Inventor 陈烨陈锦铭王海林黄强袁宇波曾飞顾斌袁栋刘伟郭雅娟孙志明焦昊刘建坤史明明方鑫岑炳成崔晋利
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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