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Photovoltaic array fault intelligent diagnosis method

A photovoltaic array and intelligent diagnosis technology, applied in photovoltaic modules, photovoltaic power generation, neural learning methods, etc., can solve problems such as difficulty in large-scale application, high application cost, and difficulty in comprehensively detecting new types of photovoltaic array failures. The effect of improving the chemical ability and stability, stable diagnosis efficiency, and good diagnosis accuracy

Pending Publication Date: 2022-03-01
QINGHAI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing fault diagnosis technologies for photovoltaic arrays focus on physical methods: setting the sensor distribution area can detect faults in time, and it is difficult to achieve large-scale application
The infrared image method requires sophisticated thermal imaging instruments, but the application cost is high, and it is difficult to comprehensively detect the fault types of new photovoltaic arrays

Method used

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  • Photovoltaic array fault intelligent diagnosis method
  • Photovoltaic array fault intelligent diagnosis method
  • Photovoltaic array fault intelligent diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] (1) Photovoltaic array simulation model and fault characteristic analysis

[0104] The typical failure types of photovoltaic arrays mainly include open circuit, short circuit, abnormal aging and shadow occlusion. Firstly, the mathematical model of the photovoltaic module is analyzed, and the simulation model of the photovoltaic array is established, and the output characteristics of the photovoltaic array under different fault states are analyzed, so as to provide a theoretical basis and fault characteristic parameters for the fault diagnosis of the photovoltaic array.

[0105] (a) Photovoltaic array simulation model

[0106] The modeling of solar cells basically adopts a single diode model. The standard mathematical model of photovoltaic modules is as follows. The standard mathematical model of photovoltaic modules is as follows:

[0107]

[0108] In the formula: I ph is the photogenerated current, I 0 is the reverse saturation current of the P-N junction in the ...

Embodiment 2

[0157] (1) Comparison of different network models

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Abstract

The invention relates to the technical field of photovoltaic array fault diagnosis, and discloses a photovoltaic array fault intelligent diagnosis method, which comprises the following steps: S1, analyzing a standard mathematical model of a photovoltaic module as shown in a formula 1, establishing a photovoltaic array simulation model, and performing fault characteristic analysis on a photovoltaic array in different fault states to obtain a fault characteristic analysis result; s2, a photovoltaic array fault diagnosis model based on SSA-KELM is established according to the fault characteristic parameters obtained in the S1, the method has good diagnosis precision and stable diagnosis efficiency, and various fault types of the photovoltaic array can be recognized and diagnosed.

Description

technical field [0001] The invention relates to the technical field of photovoltaic array fault diagnosis, in particular to an intelligent diagnosis method for photovoltaic array faults. Background technique [0002] In the process of increasing the proportion of clean energy, traditional fossil energy-based power systems with high carbon emissions are gradually being replaced, and new energy power generation systems represented by wind power and photovoltaics have formed an irresistible development trend. As the core component of the photovoltaic power generation system, the photovoltaic array is prone to various failures due to its own material problems and external environmental factors, which will not only lead to low efficiency of the power generation system, but also cause safety accidents such as leakage and fire. Therefore, it is of great significance to take effective measures to avoid serious accidents caused by photovoltaic array failures and improve system power ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/00G06N3/08H02S50/10G06F111/10
CPCG06F30/27G06N3/084G06N3/006H02S50/10G06F2111/10Y02E10/50Y04S10/50
Inventor 陈来军薛小代马恒瑞金成
Owner QINGHAI UNIVERSITY