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Method for evaluating state of full-power power generation system frequency converter IGBT

A power generation system and state evaluation technology, applied in neural learning methods, information technology support systems, genetic laws, etc., can solve the problems of full power generation system inverter IGBT state evaluation, poor overall system reliability, etc., to improve maintenance efficiency, The effect of reducing loss, strong nonlinear mapping ability

Inactive Publication Date: 2020-12-18
HUANENG YANCHENG DAFENG NEW ENERGY POWER GENERATION CO LTD +2
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for evaluating the state of the IGBT of the frequency converter of the full-power power generation system, which solves the defect that the state of the IGBT of the frequency converter of the full-power power generation system has not yet been evaluated in the prior art, resulting in poor reliability of the overall system

Method used

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  • Method for evaluating state of full-power power generation system frequency converter IGBT
  • Method for evaluating state of full-power power generation system frequency converter IGBT
  • Method for evaluating state of full-power power generation system frequency converter IGBT

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Embodiment

[0100]The full-power power generation system adopts a two-level mode. The core rectifier and inverter circuit is composed of 12 high-power IGBTs. The overall structure is asfigure 2 Shown; specifically:

[0101]Collect three-phase voltage running data on the grid side of the inverter;

[0102]Use wavelet decomposition to extract the data, and the number of decomposition layers is 5 layers.

[0103]X=A5+D1+D2+D3+D4+D5

[0104]Among them, X is the original waveform signal; A5Is the high frequency part contained in the fifth layer decomposition; D1, D2, D3, D4And D5It is the low frequency part contained in the decomposition of each layer.

[0105]Extract each decomposition coefficient to construct a feature vector:

[0106]SA=[C1 C2 C3 C4 C5 C6]

[0107]C1, C2, C3, C4, C5And C6Is the decomposition coefficient of each layer, SAIs the A-phase feature vector;

[0108]S=[SA SB SC]

[0109]S is the three-phase eigenvector;

[0110]Use genetic algorithm as optimization strategy to build BP neural network, such asimage 3 ...

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Abstract

The invention provides a state evaluation method for a frequency converter IGBT of a full-power power generation system. The state evaluation method comprises the following steps: step 1, acquiring 13types of waveform signals; step 2, decomposing the 13 types of waveform signals obtained in the step 1 to obtain feature information for judging faults; step 3, constructing the feature information for judging the fault obtained in the step 2 by utilizing a wavelet decomposition coefficient to obtain a feature vector; 4, extracting feature values from the feature vectors obtained in the step 3; step 5, constructing a BP neural network; step 6, optimizing the obtained BP neural network; step 7, training the BP neural network optimized in the step 6 to obtain a trained optimized BP neural network; and step 8, substituting the optimized BP neural network trained in the step 7 into actual operation data for verification, and evaluating whether the IGBT of the frequency converter is in an opencircuit state or not in real time; according to the method, the optimal configuration problem existing in the current offshore wind power overhaul work is solved, and the economy, the stability and the maintainability are improved.

Description

Technical field[0001]The invention relates to the technical field of inverter state evaluation of offshore wind turbines, and in particular to a method for evaluating the state of inverter IGBTs of a full-power power generation system.Background technique[0002]Inverter is an important electrical equipment in large-capacity offshore wind turbines. It is one of the core energy conversion equipment in wind turbines. It is responsible for the task of converting electrical energy that fluctuates in frequency with the wind speed into electrical energy with stable frequency. One of the high equipment. At present, the mainstream offshore wind turbines are all full-power variable-speed constant-frequency (VSCF) power generation systems. Among them, the squirrel cage asynchronous power generation system with high-speed gearbox + squirrel cage asynchronous generator + full power inverter as the technical route is more common. On the one hand, with the rapid development of my country’s offshore...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08G06N3/12G01R23/16G01R31/54
CPCG06F30/27G06N3/084G06N3/086G06N3/126G01R31/54G01R23/16G06N3/048G06N3/045Y04S10/50
Inventor 高晨陈晓路刘溟江赵勇童博周国栋朱亚波韩毅
Owner HUANENG YANCHENG DAFENG NEW ENERGY POWER GENERATION CO LTD
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