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Shielding diagnosis method for photovoltaic modules

A photovoltaic module and diagnostic method technology, which is applied in the monitoring of photovoltaic systems, photovoltaic power generation, photovoltaic modules, etc., can solve the problems of recognition accuracy only reaching the string level, high cost, hot spot effect, etc.

Pending Publication Date: 2021-11-05
HEFEI SUNGROW RENEWABLE ENERGY SCI & TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

When the shading phenomenon occurs, the power generation efficiency will decrease, and the hot spot effect will be caused more seriously; therefore, the photovoltaic power station needs to carry out shading recognition work to avoid the above situation.
[0003] There are two main types of existing occlusion recognition schemes: one is the image recognition method through drone inspection, which requires regular inspection, high cost, heavy workload, and cannot achieve real-time monitoring; the other is Through the method of analyzing the voltage, current and power characteristics of photovoltaic strings, although this method can solve various problems in the UAV inspection scheme, its recognition accuracy can only reach the string level

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  • Shielding diagnosis method for photovoltaic modules
  • Shielding diagnosis method for photovoltaic modules
  • Shielding diagnosis method for photovoltaic modules

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Embodiment Construction

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] In this application, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes none. other elements specifically listed, or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "com...

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Abstract

The invention provides a shielding diagnosis method for photovoltaic modules. The shielding diagnosis method comprises the following steps of respectively judging whether a bypass diode of each photovoltaic sub-string in each photovoltaic module is in a conduction state or not; for the bypass diode in the conduction state, determining that the photovoltaic sub-string connected with the bypass diode has shadow shielding; for the bypass diodes which are not in the conduction state, determining that the photovoltaic sub-strings connected with the bypass diodes do not have shadow shielding, so that the photovoltaic sub-string level shadow shielding identification is realized through the on-off state of each bypass diode, the real-time monitoring can be realized, and the method is simple, is easy to implement and is low in cost.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method for diagnosing shading of photovoltaic modules. Background technique [0002] At present, photovoltaic power plants are widely built in various scenarios such as mountains, deserts, Gobi, and roofs. In any scenario, photovoltaic modules will inevitably have occlusion. The occlusion may be clouds, mountains, columns, foreign objects or vegetation etc. When the shading phenomenon occurs, the power generation efficiency will decrease, and the hot spot effect will be more serious; therefore, the photovoltaic power station needs to carry out shading recognition to avoid the above situation. [0003] There are two main types of existing occlusion recognition schemes: one is the image recognition method through drone inspection, which requires regular inspection, high cost, heavy workload, and cannot achieve real-time monitoring; the other is Through the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02S50/10
CPCH02S50/10Y02E10/50
Inventor 陈伟张彦虎周辉
Owner HEFEI SUNGROW RENEWABLE ENERGY SCI & TECH CO LTD