Gas turbine control strategy mirror image verification system

Abstract

The invention provides a gas turbine control strategy mirror image verification system, which is characterized in that a gas turbine control device generates a first control strategy and a second control strategy, controls the operation of a gas turbine based on the first control strategy to obtain first operation data, controls the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and sends the first control feedback information to the gas turbine control device; the first twinning device controls the first gas turbine digital twinning model to operate based on a first control strategy to obtain second operation data; the gas turbine control strategy mirror image verification analysis device generates model correction parameters according to the first operation data and the second operation data, the second twinning device updates model parameters of a second gas turbine digital twinning model according to the model correction parameters, and the second gas turbine digital twinning model is controlled to operate based on a second control strategy. And the gas turbine control strategy mirror image verification analysis device generates strategy adjustment information according to the first control feedback information and the second control feedback information.

Description

Technical Field

[0001] The present disclosure relates to the technical field of gas turbine operation and maintenance, and in particular to a gas turbine control strategy mirror verification system. Background Art

[0002] Gas turbines will play an important role in the country's efforts to achieve carbon neutrality and carbon peak. Nowadays, rapid grid frequency or load transients, changes in environmental conditions, fuel quality, and component degradation all place higher demands on gas turbine control. Therefore, more advanced gas turbine control strategies need to be studied to solve current gas turbine control problems.

[0003] In the related technologies, for the verification of gas turbine control strategies, it is impossible to achieve comparative analysis of control effects between different control strategies. The test cases of the control strategies cannot cover all operating conditions of the actual production and operation of gas turbines. It is also impossible to perform long-term automated copying of gas turbine control strategies for engineering purposes, and it is impossible to fully verify the safety, reliability and stability of the control strategies. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the purpose of the present invention is to propose a gas turbine control strategy mirror verification system, which can realize long-term copy machine testing of gas turbine control strategies under all operating conditions, with high test credibility and a wide range of test conditions, so that the gas turbine control strategy that passes the test has high reliability and can be directly applied to the actual production of gas turbines.

[0006] To achieve the above-mentioned purpose, a gas turbine control strategy mirror verification system is proposed in the first aspect of the present disclosure. The gas turbine control strategy mirror verification system includes: a gas turbine control device, a gas turbine control strategy mirror verification analysis device, and a first twin device and a second twin device of the gas turbine. The first twin device at least includes: a first gas turbine digital twin model, and the second twin device at least includes: a second gas turbine digital twin model, wherein:

[0007] A gas turbine control device, used to generate a first control strategy and a second control strategy, control the operation of the gas turbine based on the first control strategy to obtain first operation data, control the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and send the first control strategy to the first twin device, send the second control strategy to the second twin device, and send the first control feedback information to the gas turbine control strategy mirror verification and analysis device;

[0008] a first twin device, configured to receive a first control strategy sent by the gas turbine control device, and control the operation of the first gas turbine digital twin model based on the first control strategy to obtain second operation data;

[0009] A gas turbine control strategy mirror verification and analysis device, for generating a model correction parameter based on the first operating data and the second operating data, and sending the model correction parameter to the second twin device;

[0010] The second twin device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters, and control the operation of the second gas turbine digital twin model based on the second control strategy to obtain second control feedback information, and then the gas turbine control strategy mirror verification and analysis device generates strategy adjustment information for updating the second control strategy based on the first control feedback information and the second control feedback information.

[0011] Optionally, in some embodiments, the gas turbine control strategy mirror verification and analysis device includes: a steady-state performance analysis module, a dynamic performance analysis module and a model parameter adjustment module;

[0012] The step of generating the model correction parameter according to the first operation data and the second operation data includes:

[0013] The steady-state performance analysis module compares the first operation data with the second operation data to obtain a steady-state deviation;

[0014] The dynamic performance analysis module compares the first operation data with the second operation data to obtain a dynamic deviation;

[0015] The model parameter adjustment module generates model correction parameters according to the steady-state deviation and the dynamic deviation.

[0016] Optionally, in some embodiments, the gas turbine control strategy image verification and analysis device further includes: an early warning module, a database, a packaging module, an edge computing device deployment module and a parameter container, wherein:

[0017] An early warning module, used for generating early warning information when the steady-state deviation is greater than the steady-state deviation threshold, and / or the dynamic deviation is greater than the dynamic deviation threshold;

[0018] Database, used to store steady-state deviation, dynamic deviation and warning information;

[0019] A packaging module is used to package model correction parameters;

[0020] Parameter container, used to store the encapsulated model correction parameters;

[0021] The edge computing device deployment module is used to obtain the model correction parameters from the parameter container and distribute the model correction parameters to the first twin device and the second twin device.

[0022] Optionally, in some embodiments, the gas turbine control strategy mirror verification and analysis device further includes: a control strategy analysis module;

[0023] The step of generating strategy adjustment information for updating the second control strategy according to the first control feedback information and the second control feedback information includes:

[0024] The control strategy analysis module compares the first control feedback information and the second feedback information to obtain a comparison result, and generates strategy adjustment information according to the comparison result.

[0025] Optionally, in some embodiments, the gas turbine control device further includes: a first engineer station, a first operation station, a first history station, a first OPC station, a first control module and an IO module, and the first control module includes: a first control program, wherein:

[0026] The first engineer station is used to maintain the first control program;

[0027] The first operating station is used to control the start and stop of the gas turbine;

[0028] A first historical station, for storing historical operating data of the gas turbine;

[0029] A first OPC station is used for data transmission between the gas turbine control strategy mirror verification and analysis device and the gas turbine control device;

[0030] A first control module, used for controlling a first control program to execute a first control strategy to control the operation of the gas turbine;

[0031] IO module for data transmission between gas turbine control unit and gas turbine.

[0032] Optionally, in some embodiments, the first twin device further includes: a second engineer station, a second operation station, a second history station, a second OPC station, a second control module and a first edge computing device, and the second control module includes: a second control program, wherein:

[0033] The second engineer station is used to maintain the second control program;

[0034] The second operating station is used to control the start and stop of the digital twin model of the first gas turbine;

[0035] A second OPC station is used for data transmission between the gas turbine control strategy mirror verification and analysis device and the first twin device;

[0036] A second control module, configured to control the operation of the digital twin model of the first gas turbine based on the first control strategy;

[0037] The first edge computing device is used to update the model parameters of the first gas turbine digital twin model according to the model correction parameters.

[0038] Optionally, in some embodiments, the first edge computing device includes: a first edge computing sub-device, a second edge computing sub-device, and a third edge computing sub-device, wherein:

[0039] The first edge computing sub-device includes: a first host digital twin model of the gas turbine;

[0040] The second edge computing sub-device includes: a digital twin model of a first auxiliary machine of the gas turbine;

[0041] The third edge computing sub-device includes: a first electrical digital twin model of the gas turbine, wherein the first main engine digital twin model, the first auxiliary engine digital twin model and the first electrical digital twin model constitute the first gas turbine digital twin model.

[0042] Optionally, in some embodiments, the second twin device further includes: a third engineer station, a third operation station, a third history station, a third OPC station, a third control module and a second edge computing device, and the third control module includes: a third control program, wherein:

[0043] The third engineer station is used to maintain the third control program;

[0044] The third operation station is used to control the start and stop of the digital twin model of the second gas turbine;

[0045] A third OPC station is used for data transmission between the gas turbine control strategy mirror verification and analysis device and the second twin device;

[0046] a third control module, configured to control the operation of the digital twin model of the second gas turbine based on a second control strategy;

[0047] The second edge computing device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters.

[0048] Optionally, in some embodiments, the second edge computing device includes: a fourth edge computing sub-device, a fifth edge computing sub-device, and a sixth edge computing sub-device, wherein:

[0049] The fourth edge computing sub-device includes: a second host digital twin model of the gas turbine;

[0050] The fifth edge computing sub-device includes: a digital twin model of a second auxiliary machine of the gas turbine;

[0051] The sixth edge computing sub-device includes: a second electrical digital twin model of the gas turbine, wherein the second main engine digital twin model, the second auxiliary engine digital twin model and the second electrical digital twin model constitute the second gas turbine digital twin model.

[0052] Optionally, in some embodiments, the gas turbine control strategy mirror verification device further includes: a switch; wherein,

[0053] A switch is used for data transmission between the gas turbine control device, the first twin device and the second twin device.

[0054] A gas turbine control strategy mirror verification system is provided in an embodiment of the present disclosure, and the gas turbine control strategy mirror verification system includes: a gas turbine control device, a gas turbine control strategy mirror verification analysis device, and a first twin device and a second twin device of the gas turbine, the first twin device at least includes: a first gas turbine digital twin model, the second twin device at least includes: a second gas turbine digital twin model, wherein the gas turbine control device is used to generate a first control strategy and a second control strategy, control the operation of the gas turbine based on the first control strategy to obtain first operation data, control the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and send the first control strategy to the first twin device, send the second control strategy to the second twin device, and send the first control feedback information to the gas turbine control strategy mirror verification analysis device; the first twin device is used to receive the first control strategy sent by the gas turbine control device, and Based on the first control strategy, the operation of the first gas turbine digital twin model is controlled to obtain second operating data; the gas turbine control strategy mirror verification and analysis device is used to generate model correction parameters according to the first operating data and the second operating data, and send the model correction parameters to the second twin device; the second twin device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters, and control the operation of the second gas turbine digital twin model based on the second control strategy to obtain second control feedback information, and then the gas turbine control strategy mirror verification and analysis device generates strategy adjustment information for updating the second control strategy according to the first control feedback information and the second control feedback information. In this way, the full-condition long-term copy machine test of the gas turbine control strategy can be realized, the test credibility is high and the test condition range is wide, so that the gas turbine control strategy that passes the test has high reliability and can be directly applied to the actual production of gas turbines.

[0055] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0057] Figure 1 Schematic diagram of a gas turbine control strategy mirror verification system proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0058] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0059] Figure 1 Schematic diagram of a gas turbine control strategy mirror verification system proposed in an embodiment of the present disclosure.

[0060] like Figure 1 As shown, the gas turbine control strategy mirror verification system 10, the gas turbine control strategy mirror verification system 10 includes:

[0061] Gas turbine control device 101, first twin device 102 of gas turbine, gas turbine control strategy mirror verification and analysis device 103, second twin device 103 of gas turbine, the first twin device 102 at least includes: a first gas turbine digital twin model, the second twin device 104 at least includes: a second gas turbine digital twin model, wherein,

[0062] The gas turbine control device 101 is used to generate a first control strategy and a second control strategy, control the operation of the gas turbine based on the first control strategy to obtain first operating data, control the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and send the first control strategy to the first twin device, send the second control strategy to the second twin device, and send the first control feedback information to the gas turbine control strategy mirror verification and analysis device.

[0063] Among them, the first control strategy is the control strategy made by the gas turbine control device at the first time to control the operation of the gas turbine, and the second control strategy is the control strategy made by the gas turbine at the second time to control the operation of the gas turbine. Before the first time and the second time, the first control strategy and the second control strategy are different.

[0064] In the embodiment of the present disclosure, the first control strategy may be a control strategy of the gas turbine in a historical operation stage, and the second control strategy may refer to a control strategy to be verified, and there is no limitation on this.

[0065] When the gas turbine operates based on the first control strategy, the corresponding data generated by the gas turbine during operation is the first operating data, and the first operating data may be, for example, effective power, fuel consumption rate, etc., without limitation.

[0066] Among them, the first control feedback information can be used to describe the control effect of the second control strategy relative to the gas turbine. The first control feedback information can be, for example, a control deviation. For example, when the gas turbine is controlled to operate based on the second control strategy, the deviation between the control quantity described in the control strategy and the actual operating quantity of the gas turbine. For example, the second control strategy describes controlling the gas turbine to operate at a fuel consumption rate of 260g / (kW·h). During the process of controlling the gas turbine operation based on the second control strategy, the actual fuel consumption rate of the gas turbine is 248g / (kW·h). The deviation value between the two fuel consumption rates is the first control feedback information, and there is no limitation on this.

[0067] Among them, the gas turbine digital twin model should be able to fully simulate the actual gas turbine. The gas turbine host model should be established by using mechanism modeling, data-driven modeling and other methods, including compressor model, combustion chamber model, turbine model, rotor model, etc. The gas turbine auxiliary model should be established by using mechanism modeling, logic modeling and other methods, including fuel system model, lubricating oil system model, control oil system model, intake system model, etc. The gas turbine electrical model should be established by using mechanism modeling, logic modeling and other methods, including Sequential Function Chart (SFC) system model, excitation system model, generator system model, etc. The model includes the entire process system and all IO signals of the gas turbine.

[0068] In the embodiment of the present disclosure, the gas turbine control device 101 is used to generate a first control strategy and a second control strategy, control the operation of the gas turbine based on the first control strategy to obtain first operating data, control the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and send the first control strategy to the first twin device, send the second control strategy to the second twin device, and send the first control feedback information to the gas turbine control strategy mirror verification and analysis device.

[0069] Optionally, in some embodiments, the gas turbine control device 101 also includes: a first engineer station 1011, a first operation station 1012, a first history station 1013, a first OLE for process control (OLE for Process Control, OPC) station 1014, a first control module 1015 and an IO module 1016, wherein the first control module includes: a first control program, wherein the first engineer station is used to maintain the first control program; the first operation station is used to control the start and stop of the gas turbine; the first history station is used to store the historical operation data of the gas turbine; the first OPC station is used to transmit data between the gas turbine control strategy mirror verification and analysis device and the gas turbine control device; the first control module is used to control the first control program to execute the first control strategy to control the operation of the gas turbine; and the IO module is used to transmit data between the gas turbine control device and the gas turbine.

[0070] That is to say, the gas turbine control device can send the first control strategy to the gas turbine based on the IO module, and send the first control feedback information to the gas turbine control strategy mirror verification and analysis device based on the first OPC station.

[0071] Optionally, the gas turbine control strategy mirror verification device 10 further includes: a switch 105; wherein the switch 105 is used for data transmission between the gas turbine control device 101, the first twin device 102 and the second twin device 104.

[0072] That is, the gas turbine control device can send the first control strategy to the first twin device 102 based on the switch, and send the second control strategy to the second twin device.

[0073] The first twin device 102 is used to receive the first control strategy sent by the gas turbine control device, and control the operation of the first gas turbine digital twin model based on the first control strategy to obtain second operation data;

[0074] Among them, when the digital twin model of the first gas turbine is controlled to operate based on the first control strategy, the corresponding data generated by the gas turbine during the operation is the second operating data. The second operating data can be, for example: effective power, fuel consumption rate, etc., without any limitation.

[0075] Optionally, in some embodiments, the first twin device 102 also includes: a second engineer station 1021, a second operation station 1022, a second history station 1023, a second OPC station 1024, a second control module 1025 and a first edge computing device 1026, the second control module includes: a second control program, wherein the second engineer station is used to maintain the second control program; the second operation station is used to control the start and stop of the first gas turbine digital twin model; the second OPC station is used to transmit data between the gas turbine control strategy mirror verification and analysis device and the first twin device; the second control module is used to control the operation of the first gas turbine digital twin model based on the first control strategy; the first edge computing device is used to update the model parameters of the first gas turbine digital twin model according to the model correction parameters.

[0076] Optionally, in some embodiments, the first edge computing device 1026 includes: a first edge computing sub-device, a second edge computing sub-device, and a third edge computing sub-device, wherein the first edge computing sub-device includes: a first main engine digital twin model of the gas turbine; the second edge computing sub-device includes: a first auxiliary engine digital twin model of the gas turbine; the third edge computing sub-device includes: a first electrical digital twin model of the gas turbine, wherein the first main engine digital twin model, the first auxiliary engine digital twin model and the first electrical digital twin model constitute the first gas turbine digital twin model.

[0077] The gas turbine control strategy mirror verification and analysis device 103 is used to generate a model correction parameter based on the first operating data and the second operating data, and send the model correction parameter to the second twin device;

[0078] Among them, the model correction parameters can be used to correct the model parameters of the gas turbine digital twin model in the twin device.

[0079] Optionally, in some embodiments, see Figure 1 , the gas turbine control strategy mirror verification and analysis device 103 includes: a steady-state performance analysis module 1031, a dynamic performance analysis module 1032 and a model parameter adjustment module 1033;

[0080] Among them, the model correction parameters are generated according to the first operating data and the second operating data, including: the steady-state performance analysis module compares the first operating data and the second operating data to obtain a steady-state deviation; the dynamic performance analysis module compares the first operating data and the second operating data to obtain a dynamic deviation; the model parameter adjustment module generates the model correction parameters according to the steady-state deviation and the dynamic deviation.

[0081] In the disclosed embodiment, a gas turbine digital twin model adaptive correction method is used. According to the deviation between the digital twin model and the actual gas turbine key parameters, an extended Kalman filter method is used to obtain correction parameters of the gas turbine digital twin model, including compressor flow characteristic correction coefficient, compressor efficiency characteristic correction coefficient, combustion chamber efficiency correction coefficient, combustion chamber pressure drop correction coefficient, turbine flow characteristic correction coefficient, turbine efficiency characteristic correction coefficient, turbine cooling extraction flow correction coefficient, mechanical efficiency correction coefficient, etc., without limitation.

[0082] Optionally, in some embodiments, the gas turbine control strategy mirror verification and analysis device 103 also includes: an early warning module 1034, a database 1035, a packaging module 1036, an edge computing device deployment module 1037 and a parameter container 1038, wherein the early warning module is used to generate early warning information when the steady-state deviation is greater than the steady-state deviation threshold, and / or the dynamic deviation is greater than the dynamic deviation threshold; the database is used to store steady-state deviations, dynamic deviations and early warning information; the packaging module is used to encapsulate model correction parameters; the parameter container is used to store the encapsulated model correction parameters; the edge computing device deployment module is used to obtain the model correction parameters from the parameter container and distribute the model correction parameters to the first twin device and the second twin device.

[0083] Among them, the early warning information is used to prompt that the gas turbine characteristics represented by the digital twin model are different from the actual gas turbine.

[0084] That is to say, in the embodiment of the present disclosure, the operation of the actual gas turbine and the first gas turbine digital twin model can be controlled separately based on the first control strategy to obtain corresponding operating data, and then the deviation between the operating data can be combined to obtain model parameters for correcting the gas turbine digital twin model, so that the gas turbine digital twin model can be adjusted based on the model correction parameters, so that the adjusted gas turbine digital twin model can be consistent with the characteristics of the actual gas turbine, thereby avoiding the deviation effect on strategy verification caused by the inconsistency between the model and the actual gas turbine.

[0085] The second twin device 104 is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters, and control the operation of the second gas turbine digital twin model based on the second control strategy to obtain second control feedback information, and then the gas turbine control strategy mirror verification and analysis device generates strategy adjustment information for updating the second control strategy based on the first control feedback information and the second control feedback information.

[0086] Optionally, in some embodiments, the second twin device 104 also includes: a third engineer station 1041, a third operation station 1042, a third history station 1043, a third OPC station 1044, a third control module 1045 and a second edge computing device 1046, and the third control module includes: a third control program, wherein the third engineer station is used to maintain the third control program; the third operation station is used to control the start and stop of the second gas turbine digital twin model; the third OPC station is used to transmit data between the gas turbine control strategy mirror verification and analysis device and the second twin device; the third control module is used to control the operation of the second gas turbine digital twin model based on the second control strategy; the second edge computing device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters.

[0087] Optionally, in some embodiments, the second edge computing device 1046 includes: a fourth edge computing sub-device, a fifth edge computing sub-device and a sixth edge computing sub-device, wherein the fourth edge computing sub-device includes: a second main engine digital twin model of the gas turbine; the fifth edge computing sub-device includes: a second auxiliary engine digital twin model of the gas turbine; the sixth edge computing sub-device includes: a second electrical digital twin model of the gas turbine, wherein the second main engine digital twin model, the second auxiliary engine digital twin model and the second electrical digital twin model constitute a second gas turbine digital twin model.

[0088] In the embodiment of the present disclosure, after determining the model correction parameters for correcting the model parameters of the gas turbine digital twin model, the model parameters of the second gas turbine digital twin model can be updated based on the model correction parameters, so that the second gas turbine digital twin model can be kept consistent with the actual gas turbine, and the verification process of the second control strategy can be performed jointly with the second gas turbine digital twin model and the actual gas turbine.

[0089] Among them, the second control feedback information can be used to describe the control effect of the second control strategy relative to the second gas turbine digital twin model. The second control feedback information can be, for example, a control deviation. For example, when the second gas turbine digital twin model is controlled to operate based on the second control strategy, the deviation between the control quantity described in the control strategy and the actual operating quantity of the second gas turbine digital twin model is not limited to this.

[0090] The strategy adjustment information may be used to update the second control strategy.

[0091] In the embodiment of the present disclosure, after the second twin device 104 updates the model parameters of the second gas turbine digital twin model according to the model correction parameters, and controls the operation of the second gas turbine digital twin model based on the second control strategy to obtain second control feedback information, the gas turbine control strategy mirror verification and analysis device can generate strategy adjustment information for updating the second control strategy based on the first control feedback information and the second control feedback information.

[0092] Optionally, in some embodiments, the gas turbine control strategy mirror verification and analysis device 103 also includes: a control strategy analysis module 1039; wherein, strategy adjustment information for updating the second control strategy is generated based on the first control feedback information and the second control feedback information, including: the control strategy analysis module compares the first control feedback information and the second feedback information to obtain a comparison result, and generates the strategy adjustment information based on the comparison result.

[0093] In the disclosed embodiment, the gas turbine control strategy mirror verification system includes: a gas turbine control device, a gas turbine control strategy mirror verification and analysis device, and a first twin device and a second twin device of the gas turbine, the first twin device at least includes: a first gas turbine digital twin model, the second twin device at least includes: a second gas turbine digital twin model, wherein the gas turbine control device is used to generate a first control strategy and a second control strategy, control the operation of the gas turbine based on the first control strategy to obtain first operation data, control the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and send the first control strategy to the first twin device, send the second control strategy to the second twin device, and send the first control feedback information to the gas turbine control strategy mirror verification and analysis device; the first twin device is used to receive the first control strategy sent by the gas turbine control device, and control the gas turbine based on the first control strategy. Control the operation of the first gas turbine digital twin model to obtain second operating data; a gas turbine control strategy mirror verification and analysis device is used to generate model correction parameters according to the first operating data and the second operating data, and send the model correction parameters to the second twin device; the second twin device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters, and control the operation of the second gas turbine digital twin model based on the second control strategy to obtain second control feedback information, and then the gas turbine control strategy mirror verification and analysis device generates strategy adjustment information for updating the second control strategy according to the first control feedback information and the second control feedback information. In this way, the full-condition long-term copy machine test of the gas turbine control strategy can be achieved, the test credibility is high, and the test condition range is wide, so that the gas turbine control strategy that passes the test has high reliability and can be directly applied to the actual production of gas turbines.

[0094] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0095] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

[0096] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0097] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0098] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0099] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0100] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0101] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0102] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0103] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A gas turbine control strategy mirror verification system, characterized in that: The system comprises: a gas turbine control device, a gas turbine control strategy mirror verification and analysis device, and a first twin device and a second twin device of the gas turbine, wherein the first twin device comprises at least: a first gas turbine digital twin model, and the second twin device comprises at least: a second gas turbine digital twin model, wherein: The gas turbine control device is used to generate a first control strategy and a second control strategy, control the operation of the gas turbine based on the first control strategy to obtain first operation data, control the operation of the gas turbine based on the second control strategy to obtain first control feedback information, and send the first control strategy to the first twin device, send the second control strategy to the second twin device, and send the first control feedback information to the gas turbine control strategy mirror verification and analysis device; The first twin device is used to receive the first control strategy sent by the gas turbine control device, and control the operation of the first gas turbine digital twin model based on the first control strategy to obtain second operation data; The gas turbine control strategy mirror verification and analysis device is used to generate a model correction parameter based on the first operating data and the second operating data, and send the model correction parameter to the second twin device; The second twin device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters, and control the operation of the second gas turbine digital twin model based on the second control strategy to obtain second control feedback information, and then the gas turbine control strategy mirror verification and analysis device generates strategy adjustment information for updating the second control strategy based on the first control feedback information and the second control feedback information.

2. The system according to claim 1, characterized in that The gas turbine control strategy mirror verification and analysis device comprises: a steady-state performance analysis module, a dynamic performance analysis module and a model parameter adjustment module; The step of generating a model correction parameter according to the first operating data and the second operating data includes: The steady-state performance analysis module compares the first operating data with the second operating data to obtain a steady-state deviation; The dynamic performance analysis module compares the first operation data with the second operation data to obtain a dynamic deviation; The model parameter adjustment module generates the model correction parameter according to the steady-state deviation and the dynamic deviation.

3. The system according to claim 2, characterized in that The gas turbine control strategy image verification and analysis device also includes: an early warning module, a database, a packaging module, an edge computing device deployment module and a parameter container, wherein: The early warning module is used to generate early warning information when the steady-state deviation is greater than a steady-state deviation threshold, and / or the dynamic deviation is greater than a dynamic deviation threshold; The database is used to store the steady-state deviation, the dynamic deviation and the warning information; The packaging module is used to package the model correction parameters; The parameter container is used to store the encapsulated model correction parameters; The edge computing device deployment module is used to obtain the model correction parameters from the parameter container and distribute the model correction parameters to the first twin device and the second twin device.

4. The system according to claim 3, characterized in that The gas turbine control strategy mirror verification and analysis device further comprises: a control strategy analysis module; The step of generating strategy adjustment information for updating the second control strategy according to the first control feedback information and the second control feedback information includes: The control strategy analysis module compares the first control feedback information and the second feedback information to obtain a comparison result, and generates the strategy adjustment information according to the comparison result.

5. The system according to claim 1, wherein: The gas turbine control device further includes: a first engineer station, a first operation station, a first history station, a first OPC station, a first control module and an IO module. The first control module includes: a first control program, wherein: The first engineer station is used to maintain the first control program; The first operating station is used to control the start and stop of the gas turbine; The first historical station is used to store historical operating data of the gas turbine; The first OPC station is used for data transmission between the gas turbine control strategy mirror verification and analysis device and the gas turbine control device; The first control module is used to control the first control program to execute the first control strategy to control the operation of the gas turbine; The IO module is used for data transmission between the gas turbine control device and the gas turbine.

6. The system according to claim 1, characterized in that The first twin device further includes: a second engineer station, a second operation station, a second history station, a second OPC station, a second control module and a first edge computing device, wherein the second control module includes: a second control program, wherein: The second engineer station is used to maintain the second control program; The second operating station is used to control the start and stop of the digital twin model of the first gas turbine; The second OPC station is used for data transmission between the gas turbine control strategy mirror verification and analysis device and the first twin device; The second control module is used to control the operation of the first gas turbine digital twin model based on the first control strategy; The first edge computing device is used to update the model parameters of the first gas turbine digital twin model according to the model correction parameters.

7. The system according to claim 6, characterized in that The first edge computing device includes: a first edge computing sub-device, a second edge computing sub-device and a third edge computing sub-device, wherein: The first edge computing sub-device includes: a first host digital twin model of the gas turbine; The second edge computing sub-device includes: a first auxiliary machine digital twin model of the gas turbine; The third edge computing sub-device includes: a first electrical digital twin model of the gas turbine, wherein the first main engine digital twin model, the first auxiliary engine digital twin model and the first electrical digital twin model constitute the first gas turbine digital twin model.

8. The system of claim 1, wherein: The second twin device further includes: a third engineer station, a third operation station, a third history station, a third OPC station, a third control module and a second edge computing device, and the third control module includes: a third control program, wherein: The third engineer station is used to maintain the third control program; The third operating station is used to control the start and stop of the digital twin model of the second gas turbine; The third OPC station is used for data transmission between the gas turbine control strategy mirror verification and analysis device and the second twin device; The third control module is used to control the operation of the second gas turbine digital twin model based on the second control strategy; The second edge computing device is used to update the model parameters of the second gas turbine digital twin model according to the model correction parameters.

9. The system according to claim 8, characterized in that The second edge computing device includes: a fourth edge computing sub-device, a fifth edge computing sub-device and a sixth edge computing sub-device, wherein: The fourth edge computing sub-device includes: a second host digital twin model of the gas turbine; The fifth edge computing sub-device includes: a digital twin model of a second auxiliary machine of the gas turbine; The sixth edge computing sub-device includes: a second electrical digital twin model of the gas turbine, wherein the second main engine digital twin model, the second auxiliary engine digital twin model and the second electrical digital twin model constitute the second gas turbine digital twin model.

10. The system according to any one of claims 1 to 9, characterized in that: The gas turbine control strategy mirror verification device further includes: a switch; wherein, The switch is used for data transmission between the gas turbine control device, the first twin device and the second twin device.

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