Fault diagnosis method for medium-voltage modular multilevel converter

A modular multi-level, fault diagnosis technology, applied to the measurement of electrical variables, neural learning methods, instruments, etc., can solve the problem of increasing cost and system complexity, unable to determine the specific location of the fault point, and difficult to establish an accurate mathematical model and other problems, to achieve the effect of increasing system cost and complexity, good diagnostic performance, and simple structure

Pending Publication Date: 2021-07-23
DALIAN UNIV OF TECH
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Problems solved by technology

However, these methods are difficult to establish accurate mathematical models
Later, some scholars proposed to increase the hardware circuit detection equipment, but this method increased the cost and system complexi

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  • Fault diagnosis method for medium-voltage modular multilevel converter
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  • Fault diagnosis method for medium-voltage modular multilevel converter

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[0036] The specific embodiments of the present invention will be further described below with reference to the drawings and technical solutions.

[0037] figure 1 Is a MMC three-phase topographic map in the embodiment of the present invention, as shown, MMC three-phase six bridge arm, each bridge arm has three structural composition (SM) composed and one for restricting circulation fluctuations Bridge arm inductor composition. Where u pji Characterization of P-phase Joj's I number I number I number I number of sub-module voltage value; i pj Character bridge arm current value, L o For the bridge arm inductance value, La is the load side inductance value, and RA is the load side resistance value.

[0038] figure 2 It is a map of the MMC sub-module in the embodiment of the present invention. In this embodiment, the half-bridge type sub-module, such as figure 2 As shown, each sub-module, each sub-module has two IGBTs and two diodes that are reversed, and a parallel sub-module capaci...

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Abstract

The invention relates to a fault diagnosis method for a medium-voltage modular multilevel converter (MMC), which belongs to the field of power electronics, and comprises the following steps of: constructing a data set by using the collected capacitor voltage values of each sub-module and the current values of each bridge arm of the MMC, wherein the data set comprises normal operation state data and fault operation state data of sub-modules of the MMC; carrying out one-hot coding on the sample set according to the operation state of the modular multilevel converter to obtain a coding vector as a class label; performing parameter training on the training set by adopting a neural network and based on a BP back propagation algorithm to obtain a modular multilevel converter fault diagnosis model; and inputting the test set into an MMC fault diagnosis model, performing open-circuit fault diagnosis on each sub-module of the modular multilevel converter, and obtaining a fault type through matching with a class label. New devices such as sensors do not need to be introduced, and the system cost and complexity are not increased.

Description

technical field [0001] The invention belongs to the field of power electronics and relates to a fault diagnosis method for a medium-voltage modular multilevel converter. Background technique [0002] Modular multilevel converter (MMC), as a converter used in the medium and high voltage field, because of its good scalability, flexible switch state combination, superior voltage and current resistance and good output waveform Quality is getting more and more attention. Especially in the field of high-voltage flexible DC transmission and medium-voltage converter equipment for high-speed rail, it is more and more popular. However, due to the relatively large number of switches involved, the open circuit fault of the switch has also attracted people's attention. [0003] At present, with the development of modular multilevel converter technology, a variety of fault detection and location methods have been proposed. Some scholars have proposed a sub-module fault detection method ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G01R31/00
CPCG06N3/084G01R31/00G06N3/047G06N3/048G06F18/2415G06F18/214
Inventor 张莉马瑞
Owner DALIAN UNIV OF TECH
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