Method for identifying consumer phase connectivity in low-voltage distribution network based on voltage association characteristics

US2023236229A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023236229-A1
Application numberUS-202018010811-A
CountryUS
Kind codeA1
Filing dateDec 31, 2020
Priority dateJun 16, 2020
Publication dateJul 27, 2023
Grant date

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  4. Key dates

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Abstract

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A method for identifying consumer phase connectivity in low-voltage distribution network based on voltage association characteristics is provided. The specific steps thereof are: first, acquiring users to be identified and voltage time series data of three-phase buses on the low-voltage side of the low-voltage distribution network where the users to be identified are located; then, calculating voltage time series curve correlation coefficients among the users, and classifying a user having the maximum voltage time series curve correlation value with respect to the user into one category to form a user category set; then, based on the user classification, determining an initial consumer phase connectivity according to voltage association characteristics between the users and the three-phase buses on the low-voltage side of the low-voltage distribution network; finally, verifying the initial consumer phase connectivity according to the voltage association characteristics among the users to obtain a final consumer phase connectivity identification result.

First claim

Opening claim text (preview).

1 . A method for identifying consumer phase connectivity in low-voltage distribution network based on voltage association characteristics, comprising following steps: step (1): acquiring users to be identified and voltage time series data of three-phase buses on a low-voltage side of the low-voltage distribution network where the users to be identified are located; step (2): calculating voltage time series curve correlation coefficients among the users, and classifying a user having a maximum time series curve correlation value with respect to the user into one category, to form a user category set Ω cla ; step (3): based on the user category set Ω cla , determining an initial consumer phase connectivity according to the voltage association characteristics between the users and the three-phase buses on the low-voltage side of the low-voltage distribution network; and step (4): verifying the initial consumer phase connectivity according to the voltage association characteristics among the users, to obtain a final consumer phase connectivity identification result. 2 . The method for identifying the consumer phase connectivity in the low-voltage distribution network based on the voltage association characteristics according to claim 1 , wherein in the step (2), calculating the voltage time series correlation coefficients among the users, and classifying the user having the maximum voltage time series correlation value with respect to the user into one category to form the user category set Ω cla , comprises: step (2-1): calculating a matrix R of voltage curve correlation coefficients among the users comprised in a meter reading directory of the low-voltage distribution network, wherein elements in a u-th row of the matrix R is voltage time series curve correlation coefficients between a user u and all users; R = [ r 11 … … … … r 1 ⁢ M ⋮ ⋱ ⋮ ⋮ r uu r uv ⋮ ⋮ r vu r vv ⋮ ⋮ ⋱ ⋮ r M ⁢ 1 … … … … r MM ] , ∀ u , v ∈ Θ wherein r 11 , r uu , r vv and r MM respectively represent a voltage time series curve correlation coefficient between a user 1 and the user 1 itself, a voltage time series curve correlation coefficient between a user u and the user u itself, a voltage time series curve correlation coefficient between a user v and the user v itself and a voltage time series curve correlation coefficient between a user M and the user M itself, and are all 1; r 1M represents a voltage time series correlation coefficient between the user 1 and the user M; r M1 represents a voltage time series correlation coefficient between the user M and the user 1; M represents a total number of users comprised in the meter reading directory of the low-voltage distribution network; Θ is the users comprised in the meter reading directory of the low-voltage distribution network; r uv =r vu represents a voltage time series correlation coefficient between the user u and the user v, as formula below: r u ⁢ v = r vu = ∑ t = 1 T U

Assignees

Inventors

Classifications

  • Load identification · CPC title

  • G01R29/18Primary

    Indicating phase sequence; Indicating synchronism · CPC title

  • Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging · CPC title

  • Measuring voltage only · CPC title

  • Arrangements for eliminating or reducing asymmetry in polyphase networks · CPC title

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What does patent US2023236229A1 cover?
A method for identifying consumer phase connectivity in low-voltage distribution network based on voltage association characteristics is provided. The specific steps thereof are: first, acquiring users to be identified and voltage time series data of three-phase buses on the low-voltage side of the low-voltage distribution network where the users to be identified are located; then, calculating …
Who is the assignee on this patent?
Univ South China Tech, Guangzhou Power Electrical Tech Co Ltd
What technology area does this patent fall under?
Primary CPC classification G01R29/18. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jul 27 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).