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A Feature Extraction Method for Power System Fault Factors

A power system and feature extraction technology, applied in the field of power transmission and distribution, can solve problems such as reducing power supply reliability and grid operation stability, and meet the requirements of real-time and accuracy of fault location, clear thinking, and simple operation

Active Publication Date: 2018-05-04
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, as the scale of renewable energy access increases, the resulting power fluctuations may exceed the regulation range of traditional power sources, thereby reducing the reliability of power supply and the stability of grid operation.

Method used

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  • A Feature Extraction Method for Power System Fault Factors
  • A Feature Extraction Method for Power System Fault Factors
  • A Feature Extraction Method for Power System Fault Factors

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Embodiment Construction

[0025] Aiming at the difficult problems existing in the field of power system analysis at present, the invention proposes a feature extraction method of power system failure factors under Weibull random disturbance. This method fully considers the Weibull random interference in the background of wind power access, mainly serves the wide-area adaptive backup protection system, and can meet the real-time and accuracy requirements of the wide-area backup protection system for fault location, and the fault factor feature extraction algorithm It has a strong ability to resist all kinds of complex interference, and can also meet the requirements of system redundancy.

[0026] The present invention comprises the following steps:

[0027] Step 1: According to the WAMS information during the actual operation of the power system, mainly select the current acquisition vector and / or the voltage acquisition vector as the initial variable, start the fault detection process, and go to step 2...

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Abstract

A method for feature extraction of power system failure factors, said method comprising the following steps: a. selecting an initial variable, if the sample variance is less than a set threshold, then go to step b, otherwise, go to step c; b. calculate the correlation of the initial variable The eigenvalues ​​and unitized eigenvectors of the coefficient matrix; c. Calculate the covariance matrix of the initial variables and the eigenvalues ​​and unitized eigenvectors of the covariance matrix; d. If the eigenvalues ​​are less than the set threshold, go to step a, otherwise Go to step e; e. Calculate the common factor and factor load matrix of the initial variable; f. Perform orthogonal rotation or oblique rotation on the common factor; g. Judge the faulty component according to the coefficient characteristics of the common factor and the score characteristics of the common factor. The invention extracts the fault factor characteristics of the power system from the real-time measurement information in the WAMS system, which can not only meet the real-time and accuracy requirements of the wide-area backup protection system for fault location, but also has strong anti-interference ability.

Description

technical field [0001] The invention relates to a method for extracting fault factor features from power system WAMS (Wide Area Measurement System) information under Weibull random interference, belonging to the technical field of power transmission and distribution. Background technique [0002] At present, the global environmental pollution and energy shortage require the power supply to change from quantity to quality, and new energy sources such as wind power have ushered in unprecedented development opportunities. [0003] New energy sources such as wind energy are inherently intermittent and volatile, so the connection of new energy sources to the grid will inevitably produce corresponding power fluctuations. The traditional power grid structure and operation mode are designed for the centralized production, dispatch and distribution of electric energy. When the proportion of new energy power generation is small, traditional power sources can compensate for these powe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
Inventor 张亚刚王增平
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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