Optimization system, method and medium for premixed on-duty gas combustion gas turbine

Abstract

The invention provides an optimization system and method for a premixed on-duty gas combustion gas turbine and a medium, and the optimization system comprises a data collection system, a data storage system, an artificial intelligence analysis system and a control system. The data acquisition system comprises a plurality of seasonal parameter data acquisition sensors and a plurality of operation data acquisition sensors arranged on the gas turbine; the artificial intelligence analysis system outputs pilot run control parameters according to a general unit decision tree model obtained by data training of a general unit database, input target set index judgment data and input target seasonal parameter data, and transmits the pilot run control parameters to the control system; and the control system is used for receiving the pilot operation control parameters and controlling the parameters to control the target gas turbine to perform pilot operation. Through the arrangement mode disclosed by the invention, the technical problem that the operation data of the gas turbine is inconvenient to adjust and optimize in time according to different seasons in the prior art can be solved.

Description

Technical Field

[0001] The present disclosure relates to an optimization system, method and medium for a premixed duty gas combustion gas turbine, and in particular to an optimization system, method and medium for a premixed duty gas combustion gas turbine. Background Art

[0002] At present, the combustion performance of gas turbines in the existing technology will greatly affect the actual operation of the gas turbine. In recent years, premixed pilot gas burners have better control over pollutants such as oil and gas, namely nitrogen oxides, and have therefore been widely used in gas turbines.

[0003] However, this type of burner often has the problem of unstable combustion under low load, especially in cold weather. Moreover, the effect of a single combustion tuning of the burner is often limited, and multiple on-site combustion tunings are often required to optimize the combustion instability. However, the prior art often lacks such a timely and effective tuning method, and is therefore not conducive to achieving the optimal working performance of the gas turbine. Summary of the invention

[0004] In order to overcome the above-mentioned defects existing in the prior art, the present disclosure provides an optimization system, method and medium for a premixed duty gas combustion gas turbine, so as to solve the technical problem in the prior art that it is not convenient to timely adjust and optimize the operating data of the gas turbine according to different seasonal factors.

[0005] According to one aspect of the present invention, there is provided an optimization system for a premixed duty gas combustion gas turbine, comprising a data acquisition system, a data storage system, an artificial intelligence analysis system and a control system, wherein the data acquisition system is communicatively connected to the data storage system, the data storage system is communicatively connected to the artificial intelligence analysis system, and the control system is communicatively connected to the data storage system; the data acquisition system comprises a plurality of seasonal parameter data acquisition sensors and a plurality of operating data acquisition sensors arranged on the gas turbine, the plurality of operating data acquisition sensors are used for real-time detection and acquisition of actual operating data of the gas turbine, the plurality of seasonal parameter data acquisition sensors are used for real-time detection and acquisition of seasonal parameter data of the gas turbine, the seasonal parameter data comprises temperature parameters, humidity parameters and atmospheric pressure parameters; The data storage system is used to store the actual operation data, the seasonal parameter data and the setting index judgment data of the control system in a general unit database, wherein the setting index judgment data includes setting combustion stability index data and setting performance efficiency index data; the artificial intelligence analysis system is connected to the general unit database, and the artificial intelligence analysis system outputs the trial operation control parameters according to the general unit decision tree model obtained by training the data of the general unit database, the input target setting index judgment data and the input target seasonal parameter data, and transmits the trial operation control parameters to the control system; the control system is used to receive the trial operation control parameters and control the target gas turbine to perform trial operation according to the trial operation control parameters; the trial operation control parameters include the trial operation exhaust temperature and the trial operation duty gas flow. Accordingly, it is convenient to realize timely, adaptive and professional optimization and adjustment of the operation of the target gas turbine according to different seasonal parameters, so as to effectively ensure that the target gas turbine can play a better working efficiency during the trial operation when operating in different seasons, so that the target gas turbine can perform trial operation with better working efficiency and reduce the number of debugging of the target gas turbine.

[0006] Furthermore, after the target gas turbine is put into trial operation, the data acquisition system acquires the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation and transmits the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation to the data storage system, and the data storage system is used to store the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation and the target setting index judgment data in the specific unit database. Accordingly, it is convenient to store the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation and the target setting index judgment data, so as to avoid confusion between the data of the specific unit database and the data of the general unit database.

[0007] Furthermore, the artificial intelligence analysis system is connected to the specific unit database, and the artificial intelligence analysis system updates the general unit decision tree model according to the data stored in the specific unit database to obtain a specific unit decision tree model. Accordingly, it is convenient to obtain a specific unit decision tree model that is more suitable for the target gas turbine, so as to better debug the operation of the target gas turbine, so as to better achieve the set combustion stability index data and the set performance efficiency index data, so as to meet the efficient operation of the target gas turbine.

[0008] Furthermore, the artificial intelligence analysis system outputs target operation control parameters according to the specific unit decision tree model, the input target setting index judgment data and the input target seasonal parameter data, and transmits the target operation control parameters to the control system; the control system is used to receive the target operation control parameters and control the target gas turbine to perform formal operation according to the target operation control parameters; the target operation control parameters include the test target operation exhaust temperature and the target operation duty gas flow. Accordingly, the specific unit decision tree model obtained after optimization can facilitate better timely, adaptive and professional optimization and adjustment of the operation of the target gas turbine according to different seasonal parameters, so as to effectively ensure that the target gas turbine can perform better working efficiency when operating in different seasons.

[0009] Furthermore, the artificial intelligence analysis system divides the data of the general unit database into training data and test data, the training data includes a part of the actual operation data, a part of the seasonal parameter data and a part of the set index judgment data, and the test data includes another part of the actual operation data, another part of the seasonal parameter data and another part of the set index judgment data; the artificial intelligence analysis system constructs a first decision tree, and inputs the training data into the first decision tree, and trains the first decision tree to obtain prediction data; constructs multiple decision trees in series one by one, and each decision tree is trained according to the sample residual of the prediction data and the real data of the previous decision tree as a target; obtains the general unit decision tree model according to the trained multiple decision trees in series. Accordingly, the sample residual between the sample residual of the prediction data of the decision tree and the real data can be gradually reduced by multiple decision trees in series, so as to finally obtain a more accurate general unit decision model, thereby greatly improving the prediction accuracy of the general unit decision model.

[0010] Furthermore, the data acquisition system also includes a first acquisition system and a second acquisition system; the first acquisition system and the second acquisition system are both used to record and store the actual operation data of the gas turbine detected and collected in real time by the multiple seasonal parameter data acquisition sensors and the seasonal parameter data of the gas turbine detected and collected in real time by the multiple operation data acquisition sensors; wherein the data acquisition frequency of the first acquisition system is different from the data acquisition frequency of the second acquisition system. Accordingly, it is possible to obtain the collected data more comprehensively, avoid data omissions, and ensure the accuracy of the collected data.

[0011] Furthermore, the first acquisition system is an Argus system, and the second acquisition system is a Wints system. Accordingly, it is convenient to record the data recorded by different systems, thereby facilitating the effective improvement of the accuracy and comprehensiveness of data acquisition.

[0012] According to another aspect of the present invention, there is provided an optimization method for a premixed duty gas combustion gas turbine, using the above-mentioned optimization system, the method comprising the following steps: S10, detecting and collecting seasonal parameter data of the gas turbine in real time through a variety of seasonal parameter data acquisition sensors of a data acquisition system, the seasonal parameter data including temperature parameters, humidity parameters and atmospheric pressure parameters, and detecting and collecting actual operation data of the gas turbine in real time through a variety of operation data acquisition sensors of the data acquisition system; S20, storing the actual operation data, the seasonal parameter data and the setting index judgment data of the control system in a general unit database through a data storage system; the setting index judgment data includes combustion stability index data and performance efficiency index data; S30, connecting to the general unit database through an artificial intelligence analysis system, the artificial intelligence analysis system outputting a trial operation control parameter based on a general unit decision tree model obtained by training the data of the general unit database, the input target setting index judgment data and the input target seasonal parameter data, and transmitting the trial operation control parameter to the control system; S40, receiving the trial operation control parameter through the control system, and controlling the target gas turbine to perform trial operation according to the trial operation control parameter. Accordingly, it is possible to facilitate timely, adaptive and professional optimization and adjustment of the operation of the target gas turbine according to different seasonal parameters, so as to better adaptively adjust and optimize the operation of the target gas turbine according to different seasonal parameters.

[0013] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is run, the above-mentioned optimization method for a premixed duty gas combustion gas turbine is executed. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure. In the accompanying drawings:

[0015] Figure 1 is a schematic diagram showing the optimization of the present disclosure for a premixed duty gas combustion gas turbine;

[0016] Figure 2 is a flow chart showing an optimization method for a premixed duty gas combustion gas turbine according to the present disclosure.

[0017] Reference numerals list

[0018] 100. Data acquisition system;

[0019] 200. Data storage system;

[0020] 300. Artificial intelligence analysis system;

[0021] 400. Control system. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present disclosure will be described in detail below in conjunction with the drawings in the embodiments of the present disclosure. It should be noted that the embodiments and features in the embodiments of the present disclosure can be combined with each other without conflict.

[0023] In the following detailed description, reference is made to the accompanying drawings that form a part of this specification, in which specific embodiments in which the present disclosure may be implemented are shown by way of example. With respect to the accompanying drawings, directional terms such as "top", "bottom", "inside", "outside", "up", "down", "front", "back", etc. are used with reference to the direction of the accompanying drawings being described. Since the components of the embodiments of the present disclosure may be placed in many different directions, the directional terms are used for illustration only and are not intended to be limiting. It should be understood that other embodiments may be used and that structural or logical changes may be made without departing from the scope of the present disclosure. Therefore, the following detailed description should not be construed in a limiting sense, and the present disclosure is defined by the appended claims.

[0024] Reference Figure 1, an optimization system for a premixed duty gas combustion gas turbine, the optimization system for a premixed duty gas combustion gas turbine comprising a data acquisition system 100, a data storage system 200, an artificial intelligence analysis system 300 and a control system 400, the data acquisition system 100 is communicatively connected to the data storage system 200, the data storage system 200 is communicatively connected to the artificial intelligence analysis system 300, and the control system 400 is communicatively connected to the data storage system 200; the data acquisition system 100 comprises a plurality of seasonal parameter data acquisition sensors and a plurality of operation data acquisition sensors arranged on the gas turbine, the plurality of operation data acquisition sensors are used to detect and collect the actual operation data of the gas turbine in real time, the plurality of seasonal parameter data acquisition sensors are used to detect and collect the seasonal parameter data of the gas turbine in real time, the seasonal parameter data comprises temperature parameters, humidity parameters and atmospheric pressure parameters; the data storage system 200 is used to store the actual operation data, the seasonal parameter data and the setting index judgment data of the control system 400 into a universal unit database, wherein the setting index judgment data includes setting combustion stability index data and setting performance efficiency index data; the artificial intelligence analysis system 300 is connected to the universal unit database, and the artificial intelligence analysis system 300 outputs a trial operation control parameter based on a universal unit decision tree model obtained by training the data of the universal unit database, the input target setting index judgment data and the input target seasonal parameter data, and transmits the trial operation control parameter to the control system 400; the control system 400 is used to receive the trial operation control parameter and control the target gas turbine for trial operation according to the trial operation control parameter; the trial operation control parameter includes a trial operation exhaust temperature and a trial operation duty gas flow rate.

[0025] By using the optimization system for the premixed duty gas combustion gas turbine provided in this embodiment, through the mutual cooperation of the data acquisition system 100, the data storage system 200, the artificial intelligence analysis system 300 and the control system 400, it is possible to obtain the trial operation control parameters through the artificial intelligence analysis system 300, and then provide certain professional suggestions for the control system 400 through the trial operation control parameters, so as to optimize the control of the target gas turbine, so that the operation of the target gas turbine can be adaptively adjusted according to different seasonal parameters, thereby ensuring that the gas turbine has better working performance in the trial operation under different seasonal parameters, and reducing the number of debugging times for the target gas turbine.

[0026] Specifically, the database in the data storage device integrates the functions of data import, cleaning and archiving, which are used to enhance automated analysis and realize continuous and effective data collection. By establishing a database that integrates data from multiple different systems, it is possible to integrate multiple different data sources, eliminate the need for multiple software, and realize seasonal automatic analysis of gas turbines. Starting from the database import, the artificial intelligence analysis system 300 can perform instant analysis and provide corresponding learning result data immediately, which is convenient for rapid operation adjustment and inference according to different seasons or even weather conditions, replacing time-consuming manual analysis. In addition, since the artificial intelligence analysis system 300 uses a large amount of data in the database for analysis, it improves the accuracy of the analysis and avoids the possibility of large errors in the results due to data limitations.

[0027] Specifically, the control system 400 in this embodiment may be a T3000 system. A staff member may manually input seasonal setting control data into the T3000 system; or the T3000 system may be communicatively connected to the artificial intelligence analysis system 300 to realize automatic import and control of seasonal setting control data.

[0028] Specifically, the actual operation data of the gas turbine includes actual combustion data, and the actual combustion data includes actual exhaust temperature, duty gas flow, actual combustion chamber differential pressure, actual turbine outlet temperature, actual combustion chamber dynamic pressure and combustion chamber acceleration. In this way, the operation status of the gas turbine can be obtained more accurately and comprehensively, and the actual index judgment data can be calculated by the artificial intelligence analysis system 300 according to the actual operation data of the gas turbine, and the actual index judgment data includes actual combustion stability index data and actual performance efficiency index data.

[0029] Specifically, the actual operation data of the gas turbine also includes actual operating condition data, and the actual operating condition data includes actual operating power and actual operating speed. Such a setting is adopted so as to better improve the accuracy of the general unit model of the gas turbine through more detailed actual operation data of the gas turbine, so as to better provide trial operation control parameters for the trial operation of the target gas turbine.

[0030] Specifically, after the target gas turbine is put into trial operation, the data acquisition system 100 acquires the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation and transmits the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation to the data storage system 200. The data storage system 200 is used to store the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation and the target setting index judgment data in the specific unit database. In this way, it is convenient to store the actual operation data of the trial operation of the target gas turbine and the seasonal parameter data of the trial operation and the target setting index judgment data, so as to avoid confusion between the data of the specific unit database and the data of the general unit database.

[0031] Specifically, the artificial intelligence analysis system 300 is connected to the specific unit database, and the artificial intelligence analysis system 300 updates the general unit decision tree model according to the data stored in the specific unit database to obtain a specific unit decision tree model. Accordingly, it is convenient to obtain a specific unit decision tree model that is more suitable for the target gas turbine, so as to better debug the operation of the target gas turbine, so as to better achieve the set combustion stability index data and the set performance efficiency index data, so as to meet the efficient operation of the target gas turbine.

[0032] Specifically, the artificial intelligence analysis system 300 outputs the target operation control parameters according to the specific unit decision tree model, the input target setting index judgment data and the input target seasonal parameter data, and transmits the target operation control parameters to the control system 400; the control system 400 is used to receive the target operation control parameters, and control the target gas turbine to perform formal operation according to the target operation control parameters; the target operation control parameters include the test target operation exhaust temperature and the target operation duty air flow. With such a setting, the specific unit decision tree model obtained after optimization can facilitate better timely, adaptive and professional optimization and adjustment of the operation of the target gas turbine according to different seasonal parameters, so as to effectively ensure that the target gas turbine can perform better working efficiency when operating in different seasons.

[0033] Specifically, the artificial intelligence analysis system 300 divides the data of the general unit database into training data and test data, the training data includes a part of the actual operation data, a part of the seasonal parameter data and a part of the setting index judgment data, and the test data includes another part of the actual operation data, another part of the seasonal parameter data and another part of the setting index judgment data; the artificial intelligence analysis system 300 constructs a first decision tree, and inputs the training data into the first decision tree, and trains the first decision tree to obtain prediction data; constructs multiple decision trees in series one by one, and each decision tree is trained according to the sample residual of the prediction data and the real data of the previous decision tree as a target; obtains the general unit decision tree model according to the trained multiple decision trees in series. With such a setting, the sample residual between the sample residual of the prediction data of the decision tree and the real data can be gradually reduced through the multiple decision trees in series, so as to finally obtain a more accurate general unit decision model, thereby greatly improving the prediction accuracy of the general unit decision model.

[0034] Specifically, the data acquisition system 100 also includes a first acquisition system and a second acquisition system; the first acquisition system and the second acquisition system are both used to record and store the actual operation data of the gas turbine detected and collected in real time by the multiple seasonal parameter data acquisition sensors and the seasonal parameter data of the gas turbine detected and collected in real time by the multiple operation data acquisition sensors; wherein the data acquisition frequency of the first acquisition system is different from the data acquisition frequency of the second acquisition system. With such a setting, it is possible to obtain the collected data more comprehensively, avoid data omissions, and ensure the accuracy of the collected data.

[0035] Specifically, the first acquisition system is the Argus system, and the second acquisition system is the Wints system. The Argus system includes hardware and post-processing software, the hardware includes a field acquisition station, a dedicated communication network and a central server, and the post-processing software can realize the storage, management and query of data. The Wints system is a monitoring and data acquisition system 100, which is used for process visualization and has high-performance functions to monitor automated processes.

[0036] like Figure 2As shown, the present disclosure provides an optimization method for a premixed duty gas combustion gas turbine, using the above-mentioned optimization system, the method includes the following steps: S10, using a variety of seasonal parameter data acquisition sensors of the data acquisition system 100 to detect and collect seasonal parameter data of the gas turbine in real time, the seasonal parameter data including temperature parameters, humidity parameters and atmospheric pressure parameters, and using a variety of operation data acquisition sensors of the data acquisition system 100 to detect and collect actual operation data of the gas turbine in real time; S20, storing the actual operation data, the seasonal parameter data and the setting index judgment data of the control system 400 in a data storage system 200 stored in a general unit database; the setting index judgment data includes combustion stability index data and performance efficiency index data; S30, connected to the general unit database through an artificial intelligence analysis system 300, the artificial intelligence analysis system 300 outputs a trial operation control parameter based on a general unit decision tree model obtained by training the data of the general unit database, the input target setting index judgment data and the input target seasonal parameter data, and transmits the trial operation control parameter to the control system 400; S40, receiving the trial operation control parameter through the control system 400, and controlling the target gas turbine to perform a trial operation according to the trial operation control parameter.

[0037] The method provided above can facilitate timely, adaptive and professional optimization and adjustment of the operation of the target gas turbine according to different seasonal parameters, so as to better adaptively adjust and optimize the operation of the target gas turbine according to different seasonal parameters.

[0038] The present disclosure also provides a computer-readable storage medium, which includes a stored program, wherein the program executes the above-mentioned optimization method for a premixed duty gas combustion gas turbine when running.

[0039] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. An optimization system for a premixed duty gas combustion gas turbine, characterized in that: It includes a data acquisition system, a data storage system, an artificial intelligence analysis system and a control system, wherein the data acquisition system is communicatively connected to the data storage system, the data storage system is communicatively connected to the artificial intelligence analysis system, and the control system is communicatively connected to the data storage system; The data acquisition system includes a plurality of seasonal parameter data acquisition sensors and a plurality of operation data acquisition sensors arranged on the gas turbine, wherein the plurality of operation data acquisition sensors are used to detect and acquire the actual operation data of the gas turbine in real time, and the plurality of seasonal parameter data acquisition sensors are used to detect and acquire the seasonal parameter data of the gas turbine in real time, wherein the seasonal parameter data includes temperature parameters, humidity parameters and atmospheric pressure parameters; The data storage system is used to store the actual operation data, the seasonal parameter data and the setting index judgment data of the control system in a general unit database, wherein the setting index judgment data includes setting combustion stability index data and setting performance efficiency index data; The artificial intelligence analysis system is connected to the general unit database, and the artificial intelligence analysis system outputs a trial operation control parameter according to a general unit decision tree model obtained by training the data of the general unit database, input target setting index judgment data, and input target seasonal parameter data, and transmits the trial operation control parameter to the control system; The control system is used to receive the trial operation control parameters and control the target gas turbine to perform trial operation according to the trial operation control parameters; The trial operation control parameters include the trial operation exhaust temperature and the trial operation duty air flow.

2. The optimization system for a premixed duty gas combustion gas turbine according to claim 1, characterized in that: After the target gas turbine performs a trial run, the data acquisition system collects the actual operation data of the trial run of the target gas turbine and the seasonal parameter data of the trial run and transmits the actual operation data of the trial run of the target gas turbine and the seasonal parameter data of the trial run to the data storage system, and the data storage system is used to store the actual operation data of the trial run of the target gas turbine and the seasonal parameter data of the trial run and the target setting index judgment data in a specific unit database.

3. The optimization system for a premixed duty gas combustion gas turbine according to claim 2, characterized in that: The artificial intelligence analysis system is connected to the specific unit database, and the artificial intelligence analysis system updates the general unit decision tree model according to the data stored in the specific unit database to obtain a specific unit decision tree model.

4. The optimization system for a premixed duty gas combustion gas turbine according to claim 3, characterized in that: The artificial intelligence analysis system outputs target operation control parameters according to the specific unit decision tree model, the input target setting index judgment data, and the input target seasonal parameter data, and transmits the target operation control parameters to the control system; The control system is used to receive the target operation control parameter and control the target gas turbine to perform formal operation according to the target operation control parameter; The target operation control parameters include a test target operation exhaust temperature and a target operation duty air flow rate.

5. The optimization system for a premixed duty gas combustion gas turbine according to claim 1, characterized in that: The artificial intelligence analysis system divides the data of the general unit database into training data and test data, wherein the training data includes a part of the actual operation data, a part of the seasonal parameter data and a part of the setting index judgment data, and the test data includes another part of the actual operation data, another part of the seasonal parameter data and another part of the setting index judgment data; The artificial intelligence analysis system constructs a first decision tree, inputs the training data into the first decision tree, and trains the first decision tree to obtain prediction data; Build multiple decision trees in series one by one, and train each decision tree based on the sample residual between the predicted data and the real data of the previous decision tree as the target; The general unit decision tree model is obtained according to the multiple trained decision trees connected in series.

6. The optimization system for a premixed duty gas combustion gas turbine according to claim 1, characterized in that: The data acquisition system further comprises a first acquisition system and a second acquisition system; the first acquisition system and the second acquisition system are both used to record and store the actual operation data of the gas turbine detected and collected in real time by the multiple seasonal parameter data acquisition sensors and the seasonal parameter data of the gas turbine detected and collected in real time by the multiple operation data acquisition sensors; The data acquisition frequency of the first acquisition system is different from the data acquisition frequency of the second acquisition system.

7. The optimization system for a premixed duty gas combustion gas turbine according to claim 6, characterized in that: The first acquisition system is an Argus system, and the second acquisition system is a Wints system.

8. An optimization method for a premixed duty gas combustion gas turbine, characterized in that: Utilizing the optimization system according to any one of claims 1 to 7, the method comprises the following steps: S10, detecting and collecting seasonal parameter data of the gas turbine in real time through various seasonal parameter data collection sensors of the data collection system, wherein the seasonal parameter data includes temperature parameters, humidity parameters and atmospheric pressure parameters, and detecting and collecting actual operation data of the gas turbine in real time through various operation data collection sensors of the data collection system; S20, storing the actual operation data, the seasonal parameter data and the setting index judgment data of the control system in a general unit database through a data storage system; the setting index judgment data includes combustion stability index data and performance efficiency index data; S30, connecting to the general unit database through an artificial intelligence analysis system, the artificial intelligence analysis system outputting a trial operation control parameter according to a general unit decision tree model obtained by training the data of the general unit database, the input target setting index judgment data, and the input target seasonal parameter data, and transmitting the trial operation control parameter to the control system; S40, receiving the trial operation control parameter through the control system, and controlling the target gas turbine to perform trial operation according to the trial operation control parameter.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the optimization method for a premixed duty gas combustion gas turbine as claimed in claim 8 when the program is executed.

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