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A Photovoltaic Panel Fault Detection Method Based on Differential Feature Analysis Technology

A photovoltaic panel and fault detection technology, applied in photovoltaic power generation, photovoltaic system monitoring, photovoltaic modules, etc.

Active Publication Date: 2021-09-10
江苏暄能电力科技有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, changes in light intensity cannot be accurately predicted and controlled by humans. These problems add greater difficulty to the fault detection of photovoltaic panels.

Method used

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  • A Photovoltaic Panel Fault Detection Method Based on Differential Feature Analysis Technology
  • A Photovoltaic Panel Fault Detection Method Based on Differential Feature Analysis Technology
  • A Photovoltaic Panel Fault Detection Method Based on Differential Feature Analysis Technology

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] The invention discloses a photovoltaic panel fault detection method based on differential feature analysis technology, as follows: figure 1 The implementation flow diagram shown is to illustrate the specific implementation of the method of the present invention.

[0031]Step (1): In the normal working state of the photovoltaic panel, sample data is collected every 1 minute, specifically including 9 data, and the 9 data collected each time form a column vector; where, in the column vector The 9 data are: light intensity, ambient temperature, panel temperature, maximum dynamic DC power, DC current, DC voltage, AC power, AC voltage, and AC current.

[0032] Step (2): N column vectors x with light intensity greater than zero 1 , x 2 ,...,x N Form the training data matrix X=[x 1 , x 2 ,...,x N ], then for X∈R 9×N Each row vector in ...

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Abstract

The invention discloses a photovoltaic panel fault detection method based on differential feature analysis technology, which aims at extracting differential features from online sampling data in real time in a targeted manner, thereby realizing fault detection of photovoltaic panels by monitoring changes in differential features. Specifically, the method of the present invention researches and designs a real-time difference feature extraction technology, and extracts corresponding difference features in real time for each online sampling data, thereby using changes in the difference features to detect faults that occur during the operation of photovoltaic panels. Compared with the traditional method, the method of the present invention utilizes the difference feature extracted in real time to separate the sampling data under fault and normal state, and the projection transformation vector obtained by each calculation can consider how to distinguish the difference between fault and normal state. In addition, the control upper limit determined by the method of the present invention changes in real time, and the control upper limit for judging whether a fault occurs can be obtained in real time according to different projection transformation vectors.

Description

technical field [0001] The invention relates to a fault detection method, in particular to a photovoltaic electric panel fault detection method based on differential feature analysis technology. Background technique [0002] Due to the increasing scarcity of natural resources, renewable energy technology has received widespread attention from various industries. Photovoltaic panels are currently one of the few devices that can convert solar energy into electrical energy. From energy conversion efficiency, manufacturing costs, control systems, to scheduling and maintenance, they can help promote the wide application of photovoltaic panels. In photovoltaic power plants, regular manual inspection of photovoltaic panels is a common maintenance method. However. Compared with the traditional regular maintenance work, if the failure of the photovoltaic panel can be found in time, the staff can be instructed to implement targeted repair or maintenance at the first time. This can ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16H02S50/10
CPCG06F17/16H02S50/10Y02E10/50
Inventor 陈泰麒蓝艇其他发明人请求不公开姓名
Owner 江苏暄能电力科技有限公司
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