MMC (modular multi-level converter) sub-module open-circuit fault detection method based on hybrid kernel support tensor machine

A technology that supports tensor machines and open-circuit faults. It is applied in the direction of measuring electricity, measuring devices, and measuring electrical variables. It can solve problems such as limiting practical applications and difficult to establish MMC mathematical models, and achieve the effect of avoiding hidden dangers of accidents.

Active Publication Date: 2018-11-23
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

[0005] The above methods are fault detection methods based on models such as state space. Due to the large number of sub-modules in MMC, it is d...

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  • MMC (modular multi-level converter) sub-module open-circuit fault detection method based on hybrid kernel support tensor machine
  • MMC (modular multi-level converter) sub-module open-circuit fault detection method based on hybrid kernel support tensor machine
  • MMC (modular multi-level converter) sub-module open-circuit fault detection method based on hybrid kernel support tensor machine

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Embodiment Construction

[0040] In order to make the technical means, creative features, goals and effects of the present invention easy to understand, the following embodiments will specifically elaborate the MMC submodule open-circuit fault detection method based on the hybrid core support tensor machine of the present invention in conjunction with the accompanying drawings.

[0041]

[0042] figure 1 It is a three-phase MMC topology structure diagram in the embodiment of the present invention. like figure 1 As shown, the MMC is composed of six bridge arms, and each bridge arm is composed of N sub-modules (MS) with the same structure and a bridge arm inductor connected in series. Among them, u vj ,j=(a,b,c) is the voltage on the AC side; i vj ,j=(a,b,c) is the current on the AC side; L 0 is the bridge arm reactance value; U dc is the voltage on the DC side; I dc is the current on the DC side; i pj ,j=(a,b,c) is the phase current of the upper bridge arm; i nj ,j=(a,b,c) is the phase current...

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Abstract

The invention provides an MMC (modular multi-level converter) sub-module open-circuit fault detection method based on a hybrid kernel support tensor machine, and the method comprises the steps: takingthe convex combination form of a radial kernel function and a polynomial kernel function as a hybrid kernel function; performing the sub-module open-circuit fault diagnosis of an MMC through a support tensor machine, and performing the training and testing of the collected data through combining with the AC side current and loop current data characteristics obtained during the normal operation and fault operation of the MMC; taking the AC current, a current envelope mean value and the change characteristics of a loop current among three phases as the fault judgment basis, and expressing a fault diagnosis result in a simple mode so as to timely detect the fault, thereby avoiding the accident potential troubles caused by the delayed detection to a system.

Description

technical field [0001] The invention relates to the field of flexible direct current transmission of electric power systems, in particular to a method for detecting an open-circuit fault of a modular multilevel converter submodule based on a hybrid core-supported tensor machine. Background technique [0002] As a new type of voltage source converter, the modular multilevel converter (MMC) replaces the direct series connection of the switching elements of the traditional voltage source converter (VSC) through the method of series connection of sub-modules. Arbitrary levels can be achieved through the series connection of sub-modules, and the flexibility is high. MMC can obtain better waveform quality by using a lower switching frequency, and the requirements for switching consistency of the device are also greatly reduced. In addition, MMC does not need a transformer to achieve voltage matching, and can be directly connected to the high-voltage network, which can better adap...

Claims

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Application Information

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IPC IPC(8): G01R31/02
CPCG01R31/50
Inventor 刘振兴李翠张永赵敏李晓卉张雄希
Owner WUHAN UNIV OF SCI & TECH
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