Hot spot fault diagnosis method based on fuzzy logic reasoning

A fault diagnosis and fuzzy technology, applied in the direction of reasoning methods, photovoltaic modules, photovoltaic system monitoring, etc., can solve problems that are difficult to have high accuracy

Active Publication Date: 2022-07-22
CHONGQING UNIV
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Problems solved by technology

However, when the neural network performs sample learning, it is often only in the case of a large number of samples that a diagnostic model with good generalization ability can be established. This is mainly because the method is mainly based on the empirical risk minimization theory for fault diagnosis. Therefore, in the method promotion Difficult to have high accuracy in

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  • Hot spot fault diagnosis method based on fuzzy logic reasoning
  • Hot spot fault diagnosis method based on fuzzy logic reasoning
  • Hot spot fault diagnosis method based on fuzzy logic reasoning

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Embodiment Construction

[0062] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than for limiting the protection scope of the present invention.

[0063] figure 1 It is the structure diagram of the fuzzy inference system, including four parts: input fuzzification, fuzzy rule base, fuzzy logic inference engine and output defuzzification; Figure 8 It is a simulation system model structure implemented by the toolbox fuzzy in MATLAB.

[0064] As shown in the figure: the hot spot fault diagnosis based on fuzzy logic reasoning provided by the present invention includes the following steps:

[0065] S1: Select four feature quantities as the input quantities of fuzzy logic inference;

[0066] S2: Determine the output fuzzy subset;

[0067] S3: Determine the input and output membership functions;

[0068] S4: establ...

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Abstract

The invention discloses a photovoltaic hot spot fault diagnosis method based on fuzzy logic reasoning. First, the power characteristics under the photovoltaic array hot spot fault and the hot spot characteristics in the thermal infrared image are used as input quantities; then the fuzzy subsets of each input quantity are determined. Then, the membership function is determined according to the engineering experience; then the fuzzy rule library is established according to the characteristics of photovoltaic output and thermal infrared image; finally, the diagnosis result is obtained through output defuzzification.

Description

technical field [0001] The invention relates to the field of fault diagnosis of photovoltaic power stations, in particular to a hot spot fault diagnosis method based on fuzzy logic reasoning. Background technique [0002] As one of the main forces of today's new energy, solar energy has received more and more attention. However, in practical engineering applications, there are still many problems to be solved urgently in photovoltaic power generation technology, which has caused certain restrictions on the promotion of photovoltaic power generation technology. Among them, one of the key technologies is to solve the problem of the hot spot effect generated by the photovoltaic array under complex shading conditions. The photovoltaic hot spot will not only greatly reduce the output efficiency of the photovoltaic power generation system, but even cause irreversible damage to the photovoltaic array. Therefore, it is very necessary to study the control and diagnosis method under ...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06N5/04G06V20/52H02S50/10
CPCH02S50/10G06N5/048G06V20/52Y02E10/50
Inventor毛明轩奚鑫泽周思宇郭柯周林万怡浩刘强张前进解宝郝高峰李海啸吴昊
OwnerCHONGQING UNIV