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Generator bar vibration optimization control system based on evolutionary algorithm and LSTM

An evolutionary algorithm and optimization control technology, applied to computer components, calculations, neural learning methods, etc., can solve problems such as reduced mechanical strength, reduced vibration frequency at the end of the stator winding, and lack of mathematical support at the historical data level to meet safety requirements. The effect of stable operation

Pending Publication Date: 2022-04-26
ZHEJIANG ZHENENG TAIZHOU NO 2 POWER GENERATION CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Part of the generator stator end winding vibration modal test is qualified, but as the running time prolongs, the insulating materials such as stator winding bar binding rope, spacer, bracket, etc. are subjected to heat and electromagnetic force, and the mechanical strength gradually decreases. The connection tightness between them will also change, resulting in a downward trend in the natural vibration frequency at the end of the stator winding, making the vibration mode close to 100Hz
When the natural vibration frequency of the generator end is close to 100HZ, it is easy to resonate with the electromagnetic force of twice the power frequency, causing the vibration of the end of the stator winding to rise abnormally until it exceeds the national standard limit
[0005] At present, the treatment methods for excessive vibration at the end of the generator mainly include: overhaul and disintegration inspection method, that is, during the overhaul, the natural frequency of the stator end can be avoided from single times and The double frequency area has a certain effect, but this method takes a long time, consumes a lot of money, and needs to be shut down, which affects the power generation plan of the unit
The method of adjusting the vibration of the wire rod by trying to increase or decrease the cooling water temperature and hydrogen temperature according to the feedback mechanism has a certain effect, but lacks the mathematical support of the historical data level, and the adjustment direction cannot be clearly defined before the adjustment, and trial and error is required. Efficiency Low and prone to local optima for complex generator bar vibrations

Method used

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  • Generator bar vibration optimization control system based on evolutionary algorithm and LSTM
  • Generator bar vibration optimization control system based on evolutionary algorithm and LSTM
  • Generator bar vibration optimization control system based on evolutionary algorithm and LSTM

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Embodiment Construction

[0059] Such as Figure 1-3 As shown, this generator bar vibration optimization control system based on evolutionary algorithm and LSTM is characterized in that it includes the following steps:

[0060] Step 1. Data collection, collecting generator active power, generator reactive power, generator excitation current, temperature measurement points in each slot of the generator, temperature measurement points in each slot of the iron core, vibration measurement points at the end of the generator, and other relevant information. Historical data of measuring points related to generator end vibration;

[0061] Step 2. Data preprocessing and data set construction. Perform data cleaning, optimization, dimension expansion, and normalization on the historical data collected in step 1. After data preprocessing, build training sets, verification sets, and test sets with special data structures. Sets are divided according to the ratio of 7:2:1;

[0062] Step 3. Use the training set and ...

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Abstract

The invention belongs to the technical field of generators, and particularly relates to a generator bar vibration optimization control system based on an evolutionary algorithm and LSTM. Comprising the following steps: data acquisition: acquiring historical data of generator active power, generator reactive power, generator excitation current, temperature measuring points in each groove of the generator, temperature measuring points in each groove of an iron core, generator end vibration measuring points and other measuring points related to generator end vibration. The generator bar vibration optimization control system based on the evolutionary algorithm and the LSTM has the advantages that stable operation of the generator can be guaranteed, and the influence of each parameter of the generator on bar vibration is excavated from a mechanism and mathematical combination method through analysis and excavation of historical data.

Description

technical field [0001] The invention belongs to the technical field of generators, and in particular relates to an optimization control system for generator bar vibration based on an evolutionary algorithm and LSTM. Background technique [0002] When the generator is running normally, the stator bar of the generator is subjected to the alternating electromagnetic force of single and double frequency. With the continuous expansion of the unit capacity of the generator, the electromagnetic force also increases. Due to the low stiffness of the end of the generator bar suspended outside the stator core, the problem of excessive vibration at the end of the generator bar caused by the influence of electromagnetic force is becoming more and more prominent. [0003] Excessive vibration at the end of the stator bar will easily lead to failures such as insulation wear at the end of the bar, cracking of the weld, loosening of the firmware, and water leakage. There are accident report...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06Q10/04
CPCG06N3/08G06Q10/04G06N3/044G06F18/214
Inventor 戴程鹏王新龙伟军郑必君高凯楠潘建伟刘凯锐吴业成邵建宇郭昊波张方明
Owner ZHEJIANG ZHENENG TAIZHOU NO 2 POWER GENERATION CO LTD
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