Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Low-voltage distribution network phase-household relation identification method based on matrix completion

A low-voltage distribution network and matrix completion technology, which is applied in the direction of electrical components, circuit devices, and AC network circuits, can solve problems such as missing current matrix data, missing current data, and unsupported functions, and achieve improved The effects of recognition accuracy, accuracy improvement, and efficiency improvement

Pending Publication Date: 2021-12-24
SOUTH CHINA UNIV OF TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering the impact of the lack of function of the meter itself, communication packet loss, communication failure, etc., the current data often has data missing problems. Therefore, how to complete the current matrix with data missing, so as to generate more accurate phase data Relationships are a problem that needs to be solved
In "Phase Identification in Smart Grids" (2011IEEE InternationalConference on Smart Grid Communications.Brussels, Belgium: IEEE, 2011: 25-30.), VijayArya et al. used a mathematical optimization method for phase identification, but this method did not consider the current matrix Possible missing data, low applicability

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
  • Low-voltage distribution network phase-household relation identification method based on matrix completion
  • Low-voltage distribution network phase-household relation identification method based on matrix completion
  • Low-voltage distribution network phase-household relation identification method based on matrix completion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0066] A method for identifying phase-to-household relationships in low-voltage distribution networks based on matrix completion, such as figure 1 shown, including the following steps:

[0067] S1. Collect the current time series data of the low-voltage busbar and all the meters in the target station area for multiple periods to form the original current matrix;

[0068] According to the current time-series data of the low-voltage bus in the target station area and all the meters in multiple periods, the original current matrix with the user as the abscissa and time as the ordinate is formed based on the current data of the meter in the actual station area.

[0069] S2. Using the singular value threshold decomposition method to decompose, optimize and merge the original current matrix with missing data to form a current complement matrix, which specifically includes the following steps:

[0070] S2.1. Transform the problem of completing the original current matrix into solvin...

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

No PUM Login to View More

Abstract

The invention discloses a low-voltage distribution network phase-household relation identification method based on matrix completion. The method comprises the following steps of collecting the current time sequence data of a low-voltage bus and all ammeters in multiple time periods in a target station area to form an original current matrix; decomposing, optimizing and combining the original current matrix with the data missing condition by adopting a singular value threshold decomposition method to form a current completion matrix; calculating a relative error of the complemented matrix relative to the original current matrix by solving the ratio of the norm of the difference between the current complementing matrix and the original current matrix to the norm of the original current matrix; and adopting a mathematical optimization method to identify the corresponding phase-household relationship in the transformer area. According to the method, the engineering condition that the acquired data of the low-voltage transformer area is not complete is effectively complemented by means of a data analysis technology, the phase-household identification accuracy is improved, and the intelligent and efficient operation and maintenance of the low-voltage transformer area are facilitated.

Description

technical field [0001] The invention relates to the technical field of electric low-voltage distribution network, in particular to a matrix-completion-based phase-household relationship identification method for low-voltage distribution network. Background technique [0002] One of the current household identification relationship methods is the household identification algorithm based on the KCL law. This algorithm uses current data to calculate the household relationship in the station area. Therefore, the accuracy of the current data is very important. Considering the impact of the meter’s own lack of support, communication packet loss, communication failure, etc., the current data often suffers from missing data. Therefore, how to complete the current matrix with data missing, so as to generate a more accurate phase Relationships are issues that need to be addressed. In "Phase Identification in Smart Grids" (2011IEEE InternationalConference on Smart Grid Communications....

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
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06F17/16G06F30/20G06F113/04
CPCH02J3/00G06F17/16G06F30/20G06F2113/04Y02P80/10
Inventor 张勇军洪文慧李钦豪羿应棋刘斯亮周来
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products