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Photovoltaic inverter fault diagnosis method and system

A photovoltaic inverter and fault diagnosis technology, which is applied to instruments, measuring electrical variables, measuring devices, etc., can solve problems such as sample fault feature extraction, and achieve the effect of improving diagnosis accuracy and improving decision-making paths.

Inactive Publication Date: 2019-05-03
CHINA ELECTRIC POWER RES INST +3
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AI Technical Summary

Problems solved by technology

The difficulties of this type of intelligent fault diagnosis technology are: 1. How to set up an efficient classifier diagnosis process; 2. How to effectively extract fault features from samples; 3. The parameter setting of classifiers

Method used

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  • Photovoltaic inverter fault diagnosis method and system
  • Photovoltaic inverter fault diagnosis method and system
  • Photovoltaic inverter fault diagnosis method and system

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Embodiment Construction

[0047] The invention adopts the MCKD method to extract the fault features of the samples, and then uses the decision-oriented acyclic graph to perform multi-classification expansion on the support vector machine, constructs a fault classifier, and finally realizes the fault diagnosis of the photovoltaic inverter.

[0048] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0049] Schematic diagram of a photovoltaic inverter fault diagnosis method flow chart figure 1 shown.

[0050] The method includes:

[0051] Collect the operating data of photovoltaic inverters to form test samples;

[0052] Bringing the test sample into a pre-built multi-classifier model to obtain the sample type corresponding to the test sample;

[0053] Obtain the fault type of the inverter according to the sample type;

[0054] The multi-classifier model includes a multi-classifier composed of multiple binary cla...

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Abstract

The invention provides a photovoltaic inverter fault diagnosis method and system. The method comprises steps that operating data of a photovoltaic inverter is collected to form a test sample; the testsample is brought into a pre-built multi-classifier model to obtain a sample type corresponding to the test sample; a fault type of the inverter is obtained according to the sample type; the multi-classifier model includes multiple classifiers formed by combination of multiple dual-classifier support vector machine SVM. The method is advantaged in that photovoltaic inverter fault diagnosis basedon a support vector machine is realized; the excellent decision process and decision-oriented acyclic graph are adopted, a decision path is improved, diagnostic accuracy is improved, the advanced algorithm MCKD is adopted, fault features are effectively extracted, and diagnostic accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of new energy, and in particular relates to a fault diagnosis method and system for a photovoltaic inverter. Background technique [0002] Photovoltaic inverter can convert DC power into AC power. It is one of the core components of photovoltaic power generation system and is related to the safe, stable and efficient operation of the system. Three-level inverter is a kind of inverter commonly used in photovoltaic power generation system, and its fault diagnosis technology research is of great significance. [0003] At present, intelligent diagnosis technology is widely used in the fault diagnosis of three-level inverters, such as BP neural network, extreme learning machine, support vector machine and so on. The difficulties of this kind of intelligent fault diagnosis technology are: 1. How to set up an efficient classifier diagnosis process; 2. How to effectively extract fault features from samples; 3. The ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
Inventor 张军军李春来秦筱迪杨立滨黄晶生李红涛丁明昌杨军张双庆李正曦董颖华刘美茵
Owner CHINA ELECTRIC POWER RES INST
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