System state estimation device and system state estimation method
US-11271397-B2 · Mar 8, 2022 · US
US2023236229A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023236229-A1 |
| Application number | US-202018010811-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 31, 2020 |
| Priority date | Jun 16, 2020 |
| Publication date | Jul 27, 2023 |
| Grant date | — |
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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.
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
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