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Gas turbine compressor detection and washing optimization method

A technology of gas turbine and optimization method, which is applied to computer components, computer-aided design, instruments, etc., to achieve the effect of promoting energy saving and consumption reduction

Pending Publication Date: 2022-02-08
广东粤电中山热电厂有限公司
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Problems solved by technology

Since the gas-steam combined cycle unit is involved in peak regulation due to power grid scheduling, it is difficult to keep working under rated conditions for a long time

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  • Gas turbine compressor detection and washing optimization method
  • Gas turbine compressor detection and washing optimization method
  • Gas turbine compressor detection and washing optimization method

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Embodiment Construction

[0058] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0060] Such as Figure 1-4 As shown, a gas turbine compressor detection and water washing optimization method includes the following specific steps:

[0061] Step 1: Use FMEA and FTA analysis tools to build a gas turbine compressor fault model, and obtain parameters that affect compressor fouling and meas...

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Abstract

The invention discloses a gas turbine compressor detection and water washing optimization method. The method comprises the following specific steps of constructing a gas turbine compressor fault model by using FMEA and FTA analysis tools to obtain parameters influencing the scaling of the compressor and measuring points of the monitoring parameters; acquiring historical operation data of the gas turbine according to the parameters influencing the scaling of the gas compressor and the measuring points of the monitoring parameters; performing data steady-state screening on the historical operation data by adopting a sliding window algorithm, and obtaining health references under different working conditions by adopting a DBSCAN clustering algorithm; according to the obtained steady-state data set and the health benchmark, training and optimizing to obtain a gas compressor state prediction model; and the gas compressor state prediction model being tested, evaluation of the current gas compressor scaling degree being obtained, and a reasonable offline water washing decision being made. According to the method, big data and artificial intelligence technologies are adopted, and a reasonable gas turbine off-line washing strategy is formulated according to economy, so energy conservation and consumption reduction of the gas turbine are promoted.

Description

technical field [0001] The invention relates to the field of off-line water washing of a gas-steam combined cycle generator set, in particular to a gas turbine compressor detection and water washing optimization method. Background technique [0002] The gas-steam combined cycle unit has developed rapidly in my country in recent years by virtue of its advantages of high thermal efficiency, less discharge of three wastes, and suitable for peak regulation. As the core component of the combined cycle generator set, the performance of the gas turbine directly affects the operation of the entire unit. Gas turbines need to continuously inhale air during operation, and the inhaled air may contain dust, dust, insects, etc. Although most of them have been removed by the intake filter before entering the compressor, a small amount of pollutant particles also enter the compressor and deposit continuously in the compressor, reducing the efficiency of the compressor, and in severe cases,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06K9/62G06F111/04G06F119/08G06F119/14
CPCG06F30/17G06F2111/04G06F2119/14G06F2119/08G06F18/23
Inventor 杨建球吴二涛李锦峰黄元平孙子立南泽瑞许峰耿大斌何杰
Owner 广东粤电中山热电厂有限公司