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Method utilizing independent component analysis and S transformation to detect photovoltaic system fault arcs under system process coupling conditions

An independent component analysis and photovoltaic system technology, applied in the monitoring of photovoltaic systems, photovoltaic power generation, photovoltaic modules, etc., can solve the problems of reducing system power generation efficiency, loss of life and property, misjudgment of photovoltaic systems, etc.

Active Publication Date: 2017-09-12
XI AN JIAOTONG UNIV
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  • Claims
  • Application Information

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Problems solved by technology

If the existing detection algorithm correctly determines the normal output current of the photovoltaic system, the fault arc of the photovoltaic system cannot be detected in time, and the fault arc detection device on the DC side of the corresponding photovoltaic system will refuse to operate, and the fault arc of the photovoltaic system that cannot be eliminated will cause Photovoltaic system fire accidents, resulting in loss of life and property; from the perspective of correctly determining the fault output current of the photovoltaic system, the normal operation of the photovoltaic system will cause misjudgment, and the corresponding photovoltaic system DC side fault arc detection device will malfunction. These misjudgments The normal state of the photovoltaic system will cause the shutdown of the photovoltaic system and reduce the power generation efficiency of the system

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  • Method utilizing independent component analysis and S transformation to detect photovoltaic system fault arcs under system process coupling conditions
  • Method utilizing independent component analysis and S transformation to detect photovoltaic system fault arcs under system process coupling conditions
  • Method utilizing independent component analysis and S transformation to detect photovoltaic system fault arcs under system process coupling conditions

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Embodiment Construction

[0066] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0067] combine Figure 1a , specifically explain the steps of the photovoltaic system arc fault method under the application of independent component analysis and S-transform detection system process coupling in the present invention.

[0068] Step 1. The parameter initialization process includes setting the sampling frequency f of the current sensor for the current signal s , the number of sampling points N in the analysis period, the judgment precision p, the weighted result threshold n, the variables for calculating the mean value estimation and standard deviation by clearing, independent component analysis and S-transformation, and various parameters in the arc fault characteristic analysis tools, etc. The current sensor according to the given sampling frequency f s Parallel sampling of multiple current signals required by the DC si...

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Abstract

The invention discloses a method utilizing independent component analysis and S transformation to detect photovoltaic system fault arcs under system process coupling conditions. According to the method, based on a photovoltaic system output current signal, a current independent main source signal is acquired through independent component analysis, after Fourier transformation of the signal, variance processing on the frequency information is carried out to acquire a first characteristic quantity, the current is processed through S transformation, and a second characteristic quantity is acquired through time and high frequency component integration of an acquired time frequency matrix. After comparing the characteristic quantity value with a corresponding set threshold, a weight coefficient is utilized to realize weighing of output determination results of the two characteristic quantity values on a decision layer, and real-time detection on the photovoltaic system fault arcs is accomplished. The method is advantaged in that through dynamic threshold comparison and weight coefficient weighing of the two decision results, essential difference of the photovoltaic system fault arcs generated in a system process can be obviously mined, the photovoltaic system fault arcs under the system process coupling conditions can be rapidly and accurately cut off, and safe and stable operation capability of the photovoltaic system is improved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic electrical fault detection, and specifically relates to a method of applying independent component analysis and S transformation to obtain two characteristic values, comparing the characteristic values ​​with corresponding dynamic setting thresholds to obtain two decision results, and using dynamically set The weight coefficient weights the decision results of the two characteristic values ​​to detect the fault arc of the photovoltaic system in real time, and obviously excavates the essential difference of the fault arc of the photovoltaic system that occurs in the system process, and improves the rapidity and reliability of the fault arc detection of the photovoltaic system in the case of coupling In order to ensure that the photovoltaic system can operate stably, safely and economically at any time. Background technique [0002] The global energy crisis and climate warming are becoming more...

Claims

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Application Information

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IPC IPC(8): H02S50/10
CPCH02S50/10Y02E10/50
Inventor 陈思磊吴剑南李兴文
Owner XI AN JIAOTONG UNIV
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