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Electric energy quality complex disturbance recognition method for lowering noise through two-dimensional morphology

A technology of power quality disturbance and power quality, which is applied in the direction of measuring electrical variables, character and pattern recognition, measuring electricity, etc., can solve problems such as different optimal classification thresholds and difficult to design decision tree classification systems

Active Publication Date: 2015-03-25
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

Due to noise interference, the optimal classification thresholds of each node of the decision tree under different noise levels are different, so it is difficult to design a decision tree classification system that meets different noise levels
Similar research results can only be applied in the environment with high signal-to-noise ratio

Method used

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  • Electric energy quality complex disturbance recognition method for lowering noise through two-dimensional morphology
  • Electric energy quality complex disturbance recognition method for lowering noise through two-dimensional morphology
  • Electric energy quality complex disturbance recognition method for lowering noise through two-dimensional morphology

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Embodiment Construction

[0065] The present invention is a method for recognizing composite power quality disturbances using two-dimensional morphological noise reduction, comprising the following steps:

[0066] 1) Power quality disturbance signal acquisition

[0067] Use the fault recorder and secondary equipment in the substation to collect and record the relevant disturbance signals. For the disturbance signals that cannot be collected, refer to the national standards "GB / T 12325-2008 Power Quality Supply Voltage Deviation", "GB / T T15543-2008 Power Quality Three-phase Voltage Unbalance", "GB / T 12326-2008 Power Quality Voltage Fluctuation and Flicker", "GB / T 14549-1993 Power Quality Harmonics of Public Power Grid", randomly generated by MATLAB 7.0 software ; MATLAB 7.0 software is the public software familiar to those skilled in the art;

[0068] 2) Perform multi-resolution fast S-transform on the disturbance signal

[0069] Considering the distribution of existing disturbance features comprehens...

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Abstract

The invention provides an electric energy quality complex disturbance recognition method for lowering noise through two-dimensional morphology. The method is characterized by including the steps of electric energy quality disturbance signal collection, multi-resolution fast S conversion on disturbance signals, two-dimensional morphology noise reduction, disturbance signal characteristic extraction, sample classification through design of a decision tree classifier and the like. The method has the advantages of being scientific, reasonable, easy and convenient to implement, good in real-time performance, capable of meeting the on-site application requirement, high in noise immunity and high in recognition accuracy rate, and training is not needed.

Description

technical field [0001] The present invention is a power quality composite disturbance identification method using two-dimensional morphology noise reduction, which is applied to automatic classification and positioning of power quality transient disturbances, online monitoring and evaluation of equipment status, and power quality control in high-noise industrial environments. Background technique [0002] With the widespread application of power electronic equipment and the massive access of distributed power sources in recent years, the impact of power quality problems has become increasingly prominent. Accurate identification of power quality transient disturbances is the premise and foundation of power quality disturbance governance and power quality analysis. In recent years, researchers at home and abroad have done a lot of work on disturbance identification and achieved good identification results. However, the accuracy of existing disturbance recognition methods is su...

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Application Information

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IPC IPC(8): G01R31/00G06T7/00G06K9/62
Inventor 黄南天蔡国伟张卫辉张书鑫
Owner NORTHEAST DIANLI UNIVERSITY
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