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Power distribution network power quality disturbance detection method based on EWT and MFDE

A technology of power quality disturbance and detection method, which is applied in the direction of measuring electrical variables, measuring electricity, and measuring devices, and can solve problems such as inability to decompose signal complexity and high computational complexity

Active Publication Date: 2020-05-12
CHINA THREE GORGES UNIV
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Problems solved by technology

Although this algorithm converts the signal decomposition from recursive filtering mode to non-recursive filtering mode, which solves some problems of LMD, it is at the cost of higher computational complexity, and it still cannot be adaptively decomposed according to different signal complexities. Choose parameters carefully to get correct results

Method used

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  • Power distribution network power quality disturbance detection method based on EWT and MFDE
  • Power distribution network power quality disturbance detection method based on EWT and MFDE
  • Power distribution network power quality disturbance detection method based on EWT and MFDE

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Embodiment

[0110] The realization mode of the empirical wavelet decomposition EWT and MFDE detection disturbance signal of the present invention is:

[0111] The present invention uses the optical voltage transformer to extract the signal in the active distribution network, and after preprocessing the analog signal, adopts the empirical wavelet transform to analyze the 11 types of power quality disturbance signals C1- C11, perform mode decomposition, extract the intrinsic mode function (BLIMF) containing characteristic information, and use it as the input signal of multi-scale oscillation dispersion entropy MFDE, so as to realize the detection and classification of power quality.

[0112] The signal extraction of the optical voltage transformer is based on the Pockels effect, which mainly includes the sensor unit on the high voltage side, the photoelectric unit on the low voltage side and the electro-optic crystal. There are many types of electro-optic crystals, among which BGO crystals ...

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Abstract

The invention discloses a power distribution network power quality disturbance detection method based on EWT and MFDE, and the method comprises the steps: extracting a PQ disturbance signal in an active power distribution network system, and carrying out the preprocessing; using empirical wavelet decomposition (EWT) to perform modal decomposition on the preprocessed PQ disturbance signal to obtain an intrinsic mode function (BLIMF) containing feature information; using the intrinsic mode function BLIMF containing feature information as the input of a multi-scale oscillation dispersion entropyMFDE algorithm, employing the multi-scale oscillation dispersion entropy MFDE algorithm to carry out the dispersion entropy calculation of the intrinsic mode functions BLIMF obtained through mode decomposition, and obtaining the multi-dimensional entropy vector of the PQ disturbance signal under each intrinsic mode function BLIMF through calculation; carrying out PCA dimension reduction accordingto the obtained entropy vector, and then taking the result as an input quantity of an SVM algorithm; and carrying out PQ disturbance signal identification on the active power distribution network system containing the distributed energy. According to the method, each disturbance in the composite power quality disturbance can be accurately detected and classified, the classification is accurate, and the method has certain anti-noise capability.

Description

technical field [0001] The invention relates to the technical field of power quality disturbance signal detection, in particular to a method for detecting power quality disturbances in distribution networks based on EWT and MFDE. Background technique [0002] As distributed generation becomes more and more integrated in the power system, power signals become more and more complex. Due to the limitation of natural conditions such as environment and climate, the output of DGs has the characteristics of randomness, volatility and intermittent, which may cause oscillation or flicker. In addition, due to the low-inertia characteristics of DGs, the system is more susceptible to various disturbances. Attention should be paid to the detection and classification of complex disturbances in highly permeable active distribution networks. Due to the diversity and complexity of power quality disturbance signals in active distribution networks, there are still some deficiencies in power ...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06K9/62G01R31/00
CPCG06Q50/06G01R31/00G06F18/2135G06F18/2411
Inventor 徐艳春樊士荣谢莎莎吕密
Owner CHINA THREE GORGES UNIV
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