Microgrid inverter fault diagnosis method based on wavelet transformation and probabilistic neural network

A technology of probabilistic neural network and fault diagnosis, applied in the direction of neural learning method, biological neural network model, neural architecture, etc., can solve the problems of complex fault types of switching devices in micro-grid inverters, and cannot meet the rapid popularization of large-scale micro-grids, etc.

Pending Publication Date: 2019-08-02
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0005] In order to solve the problem that the types of faults of switching devices of micro-grid inverters are complicated, and the traditional manual search can no longer satisfy the rapid popularization

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  • Microgrid inverter fault diagnosis method based on wavelet transformation and probabilistic neural network
  • Microgrid inverter fault diagnosis method based on wavelet transformation and probabilistic neural network
  • Microgrid inverter fault diagnosis method based on wavelet transformation and probabilistic neural network

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Embodiment Construction

[0062] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0063] The embodiment of the present invention provides a microgrid inverter fault diagnosis method based on wavelet transform and probabilistic neural network.

[0064] Please refer to figure 1 , figure 1 It is a flow chart of a microgrid inverter fault diagnosis method based on wavelet transform and probabilistic neural network in an embodiment of the present invention, specifically including the following steps:

[0065] S101: According to the operating conditions of the microgrid inverter to be diagnosed, build a fault simulation system of the microgrid inverter, and collect three-phase load current signals of the fault simulation system under different fault types as measurement signals; The fault type is a varie...

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Abstract

The invention provides a microgrid inverter fault diagnosis method based on wavelet transformation and a probabilistic neural network. The method comprises the steps that firstly, building a fault simulation system of the microgrid inverter on simulation software, then collecting three-phase load currents under different fault types to serve as measurement signals, and extracting fault characteristic signals of the three-phase load currents through a wavelet multi-resolution analysis method; carrying out normalization processing on the extracted fault feature signal to construct a feature vector; and finally, selecting a part of the extracted fault feature vectors as training data to train the PNN model, and when a genetic algorithm is adopted to find an optimal smoothing factor of the probabilistic neural network, and when the inverter has a fault, carrying out fault positioning on a current signal according to the method, thereby realizing fault diagnosis of the microgrid inverter. The method has the advantages that the structure model is simple, determination is easy, the convergence speed is high, a Bayes optimization solution is converged, the sample adding capacity is high, retraining is not needed, the precision is high, the practicability is high, and engineering combination is easy.

Description

technical field [0001] The invention relates to the field of fault diagnosis of power electronics, in particular to a fault diagnosis method for a microgrid inverter based on wavelet transform and probabilistic neural network. Background technique [0002] Today, with the global economy, the rapid development of science and technology and the increasing scale of industrialization. People's demand for energy is increasing day by day. With the continuous depletion of traditional energy sources such as coal and oil and the serious pollution to the environment, countries around the world have gradually realized the importance of energy and the environment. Therefore, vigorously develop clean energy such as solar energy and wind energy. Distributed power generation is an effective way to utilize clean energy, and the microgrid is a low-voltage system composed of distributed power sources, energy storage, and loads. As an important bridge and link between the large power grid a...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06N3/12G01R31/02
CPCG06N3/126G06N3/084G01R31/50G06N3/047G06F2218/06G06F2218/08
Inventor 王庆义龚鑫王明阳潘寄庭鞠槟檑
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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