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Isolation mechanism-based online photovoltaic hotspot fault detection method

A fault detection and hot spot technology, applied in the monitoring of photovoltaic systems, photovoltaic modules, photovoltaic power generation, etc., can solve the problems of data dimension and data scale constraints, abnormal data is not targeted, misdiagnosis or missed diagnosis, etc., to improve the accuracy rate, extensive engineering application value, and the effect of solving excessively high costs

Inactive Publication Date: 2017-12-08
CHONGQING UNIV
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  • Claims
  • Application Information

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Problems solved by technology

This will lead to two major defects: one is that the traditional method is not pertinent to abnormal data, the performance is not good, and misdiagnosis or missed diagnosis often occurs. There are constraints, there are great limitations

Method used

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  • Isolation mechanism-based online photovoltaic hotspot fault detection method
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  • Isolation mechanism-based online photovoltaic hotspot fault detection method

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Embodiment Construction

[0056] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0057] figure 1 It is a flow chart of a photovoltaic panel hot spot fault detection method, figure 2 Flowchart for PV data preprocessing; image 3 Create a flowchart for the iForest fault detection model, Figure 4 A flow chart for traversing an isolation forest. As shown in the figure: a photovoltaic panel hot spot fault detection method provided by the present invention includes the following steps:

[0058] S1: Collect a series of real-time operation data of all photovoltaic panels in the photovoltaic array in recent months;

[0059] S2: Preprocess the collected real-time operation data to obtain the training set X;

[0060] S3: Preliminarily establish a hot spot fault detection model based on iForest, and preset corresponding parameters;

[0061] S4: Use the training samples to train the iForest hot spot fault detection model;

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Abstract

The invention discloses an isolation mechanism-based online photovoltaic hotspot fault detection method, and belongs to the field of photovoltaic power generation system fault detection. The method comprises the following steps of: acquiring a series of real-time operation data of photovoltaic panels in a photovoltaic array; establishing an isolation forest-based photovoltaic array hotspot fault estimation model by utilizing the characteristic that hotspot fault data is less and different; and finally traversing an average path length of each record in the forest so as to obtain a hotspot fault score. According to the method, online measurement can be carried out on the hotspot faults of any photovoltaic panel in the photovoltaic array.

Description

technical field [0001] The invention relates to the field of fault detection of a photovoltaic power generation system, in particular to a method for detecting a fault of a hot spot of a photovoltaic battery board. Background technique [0002] As a renewable and non-polluting new energy source, solar energy has attracted more and more attention, and the installed capacity of photovoltaic power plants has grown rapidly every year. With the rapid development of the photovoltaic industry, the automatic monitoring and fault diagnosis of the working status of photovoltaic power stations has become the primary task of maintaining the normal operation of the power station. The operation of photovoltaic power plants is closely related to the working status of each photovoltaic array. When partial shading or component aging occurs in photovoltaic modules, the hot spot effect will affect the photovoltaic conversion. If the situation is not detected in time, it will cause permanent d...

Claims

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Application Information

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IPC IPC(8): G06K9/62H02S50/10
CPCH02S50/10G06F18/214G06F18/24Y02E10/50
Inventor 胡蓓胡开喜段盼严纪峰段其昌毛明轩郭蓓马毅黄晓刚
Owner CHONGQING UNIV
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