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A fast sensing method for distribution network topology

A distribution network topology and fast technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve problems such as inability to accurately reflect topology changes, and achieve the effect of improving real-time performance

Active Publication Date: 2021-01-29
HUNAN UNIV
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Problems solved by technology

If the topology changes due to network reconfiguration or failure, traditional data-driven methods cannot accurately reflect the topology changes

Method used

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  • A fast sensing method for distribution network topology
  • A fast sensing method for distribution network topology
  • A fast sensing method for distribution network topology

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Embodiment

[0050] Such as figure 1 As shown, the present invention provides a method for fast perception of distribution network topology, comprising the following steps:

[0051] Step 1: Define the required initial measurement matrix and collect initial data. The collected data is stored in a matrix of N rows and T columns V={v 1 ;...; v n}middle. where the vector v in the matrix n Indicates the voltage measurement on bus n within time window T.

[0052] Step 2: Use the principal component analysis method to reduce the dimensionality of the original data. Get a new matrix V'={v with N rows and 2 columns 1 ;...; v n}.

[0053] Step 3: Carry out time-continuous data reorganization to eliminate coordinate flipping of data after dimensionality reduction at different time nodes.

[0054] By calculating the Euclidean distance of the dimensionally reduced data sampled at the same node at two time points before and after, it is judged whether the overall coordinate flip phenomenon has ...

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Abstract

The invention discloses a fast perception method of distribution network topology. The proposed method combines traditional principal component analysis method and K nearest neighbor method, and improves time continuity on the basis of traditional principal component analysis method. In the first part of the method, the principal component analysis method is used to reduce the dimensionality of the voltage time series data collected in the distribution network. The latest sampling data within a certain time window is processed to obtain the two-dimensional data points corresponding to the time point. The second part uses the proposed time continuity improvement scheme to transform the time series data after dimensionality reduction to eliminate the problem of coordinate flipping. The third part uses the K-nearest neighbor method to count the changes of the coordinate neighbors at different time points, and put forward early warning signals for those with larger changes. The fast perception method of distribution network topology proposed by the present invention reduces the amount of data required by the distribution network topology recognition technology, improves the rapidity of response, and improves the real-time performance of topology perception.

Description

technical field [0001] The invention relates to the technical field of distribution network topology recognition, in particular to a fast sensing method for distribution network topology. Background technique [0002] With the continuous advancement of the smart grid strategy, the installation of advanced measurement devices (smart meters, umpu, etc.) continues to increase, and the power system, especially the distribution network, has obtained a large amount of data. This gives favorable conditions for clarifying distribution network topology through data. At the same time, with the enhancement of data processing capability, it is possible to process massive data in real time, so as to obtain real-time status awareness of distribution network topology. [0003] Traditional data-driven distribution network topology identification methods focus on the accuracy of topology identification and are committed to estimating the accurate topology of distribution network through a l...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08G06F17/16G06K9/62
CPCG01R31/088G01R31/086G06F17/16G06F18/2135
Inventor 李勇张振宇段晶曹一家
Owner HUNAN UNIV
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