Electric energy quality disturbance detection and positioning algorithm

A technology of power quality disturbance and positioning algorithm, which is applied in the field of power system, can solve the problems of inaccuracy, modal aliasing, end effect power quality disturbance detection and positioning accuracy, etc., and achieve good noise robustness and high precision effect

Inactive Publication Date: 2020-04-07
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a power quality disturbance detection and location algorithm, which is based on improved wavelet threshold function, variational mode decomposition (VMD) and singular value decomposition, to solve

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  • Electric energy quality disturbance detection and positioning algorithm
  • Electric energy quality disturbance detection and positioning algorithm
  • Electric energy quality disturbance detection and positioning algorithm

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Embodiment 1

[0061] The present invention provides a research on the power quality disturbance detection and positioning algorithm of the improved wavelet threshold function, variational mode decomposition (VMD) and singular value decomposition. First, the improved wavelet threshold function is used to filter out the noise of the power quality disturbance signal, and The preset scale is determined by Fourier transform. Then, through VMD, each eigenmode function of the power quality disturbance signal is accurately calculated, and the characteristic quantities such as amplitude, frequency, start and end time of each eigenmode function are respectively solved by combining Hilbert transform and singular value decomposition theory, and finally using A large number of simulation experiments have verified the validity and feasibility of the method proposed in this paper.

[0062]Before carrying out the present invention, at first need to do following three works:

[0063] Step S101, establishin...

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Abstract

The invention discloses an electric energy quality disturbance detection and positioning algorithm. The algorithm comprises the steps of S201, filtering noise of an electric energy quality disturbancesignal by adopting an improved wavelet threshold function, and determining a preset scale K through Fourier transform; S202, solving each intrinsic mode function of the electric energy quality disturbance signal through VMD, and extracting each mode amplitude and frequency characteristic information through Hilbert transform; and S203, realizing effective positioning of start and stop moments ofthe disturbance signal through a singular value decomposition principle. The technical problems that an intrinsic mode function obtained by adopting EMD and EEMD in an existing algorithm is prone to mode aliasing and endpoint effect, and power quality disturbance detection and positioning precision is not accurate enough are solved.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a power quality disturbance detection and positioning algorithm. Background technique [0002] The number and capacity of non-linear, impulsive, and fluctuating loads in the power system continue to increase, resulting in a series of power quality disturbance problems such as harmonics, voltage sags, and short-term interruptions in the power grid. The problem of power quality disturbance has seriously affected the power grid and users. In order to take reasonable measures to improve power quality and improve the stability and reliability of power supply in the power system, it is first necessary to accurately detect and identify power quality disturbances. [0003] The wavelet transform in the existing feature extraction analysis methods has good time-frequency localization characteristics, but the detection effect of wavelet transform is easily affected by nois...

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/086G01R31/088
Inventor 古庭赟徐长宝林呈辉吕黔苏高吉普伍华伟李军张俊玮牛唯徐梅梅肖小兵范强龙秋风赵轩陈相吉张历幸明勇苏立汪明媚孟令雯顾威祝健杨李博文
Owner GUIZHOU POWER GRID CO LTD
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