Unlock instant, AI-driven research and patent intelligence for your innovation.
Data-driven power distribution network cable variable relationship diagnosis method, device and system
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A data-driven, diagnostic approach to technology
Active Publication Date: 2020-07-24
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
View PDF5 Cites 5 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
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 stable operation. Without a timely and accurate distribution network line change relationship, important work such as line loss calculation will be difficult to advance
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
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 ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
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 distributiontransformer; and correcting the line change relationship suspected abnormal distributiontransformer 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 ManagementSystem, 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
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.