Homology unit grouping method combining wavelet fuzzy entropy and GG fuzzy clustering

A technology of fuzzy clustering and fuzzy entropy, used in computer parts, character and pattern recognition, instruments, etc., can solve the problems of poor recognition effect, only suitable for spherical data, and large amount of calculation, so as to achieve comprehensive and easy feature extraction. The effect of operating, simplifying the grid

Inactive Publication Date: 2019-01-15
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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However, these methods have their own defects, such as poor recognition e

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  • Homology unit grouping method combining wavelet fuzzy entropy and GG fuzzy clustering
  • Homology unit grouping method combining wavelet fuzzy entropy and GG fuzzy clustering
  • Homology unit grouping method combining wavelet fuzzy entropy and GG fuzzy clustering

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[0053] The present invention proposes a coherent machine group grouping method combining wavelet fuzzy entropy and GG fuzzy clustering. The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] figure 1 Shown is the flow chart of the coherent unit identification method combined with wavelet fuzzy entropy and GG fuzzy clustering, including the following steps:

[0055] 1) Use the PMU to obtain the power angle information of the system unit, store the power angle information in the matrix S, and perform preliminary preprocessing on S to obtain the real-time incremental time-series database T of the generator power angle.

[0056] 2) Perform M-level wavelet decomposition on the i-th (initial i=1) column time-series vector in the time-series database T obtained in step 1), and obtain the approximation coefficient sequence Ca M , the detail coefficient sequence Cd 1 、Cd 2 ...Cd M .

[0057] 3) Calcu...

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Abstract

The invention discloses a homology unit grouping method combining wavelet fuzzy entropy and GG fuzzy clustering, belonging to the field of power system unit homology identification. A phasor measurement device in a WAMS acquires post-fault system unit power angle information, the power angle swing curve is decomposed into global trend and detail information by using multi-scale wavelet decomposition, and the fuzzy entropy of wavelet coefficients of each scale is calculated. The fuzzy entropy of wavelet coefficients (including global feature and local feature) of each scale is used as the feature vector of a generator. The feature extraction is comprehensive and the calculation process is simple. Then the GG fuzzy clustering algorithm is used for homology clustering to improve the accuracyof grouping of homology units. The invention can obtain the grouping state of the system unit in real time, and provides necessary prerequisite for simplifying the electric network and determining thedisconnecting position.

Description

technical field [0001] The invention belongs to the technical field of coherent unit recognition, in particular to a coherent unit grouping method combined with wavelet fuzzy entropy and GG fuzzy clustering. Background technique [0002] my country has a vast land area, and the development of high-voltage technology has made "power transmission from west to east, north-south networking" a reality, and the national energy distribution has become more and more economical. However, with the development and expansion of the scale of the power system, the operating state of the system is becoming more and more complex, which makes the problem of dynamic stability and security of the system increasingly prominent. When the power system is disturbed and fails, if the connection between the faulty power grid and the normal operating system is not cut off in time, serious cascading failures are likely to occur. In active decoupling control, when the system cannot maintain its own st...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/24137
Inventor 王涛杨越赵存璞顾雪平
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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