Method, system, equipment and medium for adjusting efficiency of IGV optimized combined cycle unit of 6FA gas turbine

Abstract

The invention discloses a method, system, equipment and medium for adjusting the efficiency of a 6FA gas turbine IGV optimized combined cycle unit, and relates to the technical field of gas-steam combined cycle units, and the method comprises the steps that the operation state of the 6FA combined cycle unit is determined based on the current environment temperature and the load state of the unit; based on the state of an air inlet heating system and actual operation parameters, the IGV opening degree is properly adjusted; based on adjustment of the IGV opening degree, an efficiency optimization target of combustion pulsation amplitude safety is constructed; according to the method, by optimizing the IGV opening degree, the operation efficiency of the 6FA combined cycle unit under the specified load is improved, energy consumption is reduced, and economic benefits are improved; through the combustion stability control module, the stability of the combustion process can be ensured, too high combustion temperature or too large pulsation amplitude is avoided, and safe operation of a unit is ensured; the system can adapt to different environment temperatures and load states, parameters are adjusted according to actual conditions, and the system has good adaptability.

Description

Technical Field

[0001] The present invention relates to the technical field of gas-steam combined cycle units, and specifically to a method, system, equipment, and medium for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit. Background Art

[0002] The opening of the IGV during the operation of a 6FA gas turbine changes with the load as follows: when the 6FA gas turbine starts up to 40% load, the inlet guide vane IGV remains at the minimum opening of 49 degrees; when the gas turbine load is greater than 40% load, as the gas turbine load increases, the opening of the inlet guide vane IGV gradually increases, and when approaching the rated load, the IGV is fully opened to 86 degrees; generally, the full-load output of a gas turbine - steam turbine combined cycle decreases with the increase in ambient temperature. When the 6FA gas turbine load is greater than 40% load, the opening of the gas turbine IGV is correlated with the percentage of the unit load. When maintaining the same output of the unit, the percentage of the combined cycle load increases with the increase in ambient temperature, and the IGV opening also increases accordingly.

[0003] Currently, many pure condensing units in power plants operate at partial loads for a long time, especially at certain loads specified by the power grid. When new units are built, the performance guarantee points and assessment points of a 6FA gas turbine combined cycle are usually the full load of the unit. There are usually 1 - 2 performance assessment guarantee points for the unit, and the performance of the performance assessment and guarantee points, mainly including output and heat rate, is optimized; the parameter definitions of the performance assessment and guarantee points include ambient temperature, pressure and humidity, as well as fuel composition, steam parameters of the steam turbine, back pressure of the steam turbine, generator parameters, and cooling water parameters. Considering the economy of gas turbine equipment, for other operating conditions that are not at the performance guarantee points, the performance of the gas turbine and the combined cycle is usually not fully optimized. The partial load performance of the gas turbine - steam turbine combined cycle is obtained by performing off-design operation according to the settings of the performance guarantee points. Therefore, there is room for optimization in the partial load performance.

[0004] In addition, when the gas turbine operates for a period of time, obvious aging of the gas turbine components occurs; especially after the gas turbine undergoes a major overhaul and the high-temperature components are replaced, the performance will change significantly, and the combined cycle performance can be improved to a certain extent by adjusting the 6FA gas turbine IGV.

[0005] Since the gas turbine is a very complex system, the opening of the gas turbine IGV is related to multiple parameters such as ambient temperature, gas turbine load, gas consumption rate of the gas turbine, combustion temperature, and exhaust gas temperature. Therefore, the model for estimating the IGV opening is built on the industry-recognized Thermoflex software platform. Summary of the Invention

[0006] In view of the above existing problems, the present invention is proposed.

[0007] Therefore, the technical problem to be solved by the present invention is that the existing methods for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit have problems such as not being optimized for part-load operation, not considering the influence of the intake air heating system, and lacking model support, resulting in low unit efficiency, high operating costs, and large emissions. The present invention realizes the optimization of the efficiency of a 6FA combined cycle unit at a specified load through a technical solution of establishing an IGV opening estimation model, considering the influence of the intake air heating system, and adjusting the IGV opening according to actual operating parameters.

[0008] To solve the above technical problems, the present invention provides the following technical solutions: A method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit, including determining the operating state of a 6FA combined cycle unit based on the current ambient temperature and the unit load state; moderately adjusting the IGV opening based on the state of the intake air heating system and actual operating parameters; constructing an efficiency optimization target with a safe combustion pulsation amplitude based on the adjusted IGV opening; The operating state of the 6FA combined cycle unit includes the unit operating state determined according to the ambient temperature, load, state of the intake air heating system, and actual operating parameters, and adjusting the IGV opening based on the unit operating state; Moderately adjusting the IGV opening includes constructing a non-linear relationship model between parameters such as ambient temperature, load, and exhaust gas temperature and the IGV opening, and combining the calculation results of the Thermoflex gas turbine model, and optimizing the IGV opening based on a multi-objective optimization algorithm; The non-linear relationship model between parameters and the IGV opening includes a non-linear mapping relationship between parameters such as ambient temperature, load, and exhaust gas temperature and the IGV opening established by mathematical methods, which is used to capture the complex non-linear relationship between parameters and the IGV opening; Constructing an efficiency optimization target with a safe combustion pulsation amplitude includes constructing a multi-objective optimization model with efficiency optimization as the target based on the operating state of the 6FA combined cycle unit and environmental parameters, and combining the Thermoflex gas turbine model and the safe threshold of the combustion pulsation amplitude, and constructing a dynamic adjustment strategy for the IGV opening based on a reinforcement learning algorithm.

[0009] As a preferred embodiment of the method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to the present invention, wherein: determining the operating state of the 6FA combined cycle unit includes reading the data of the ambient temperature sensor and the load sensor, judging the state of the intake air heating system based on the preset ambient temperature and load range, and inputting the state of the intake air heating system into the IGV adjustment logic.

[0010] As a preferred embodiment of the method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to the present invention, wherein: moderately adjusting the IGV opening includes selecting different IGV opening adjustment strategies based on the state of the intake air heating system.

[0011] As a preferred embodiment of the method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to the present invention, the selection of different IGV opening adjustment strategies includes: completely closing the intake air heating system, obtaining the opening value of the current compressor inlet guide vane, determining whether the current IGV opening is within the range of 40% to 99%, calculating the IGV correction value, and adjusting the IGV opening within the parameter safety range.

[0012] As a preferred embodiment of the method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to the present invention, the selection of different IGV opening adjustment strategies includes: the intake air heating system has not been completely closed, obtaining the opening value of the current compressor inlet guide vane, determining whether the current IGV opening is within the range of 15% to 40%, calculating and adjusting the IGV opening within the parameter safety range, and optimizing the intake air heating system.

[0013] As a preferred embodiment of the method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to the present invention, the construction of an efficiency optimization target with a safe combustion pulsation amplitude includes: setting a safe range of combustion pulsation amplitude, real-time monitoring of the combustion pulsation amplitude, analyzing the change trend of the combustion pulsation amplitude, and evaluating the stability of the combustion process.

[0014] As a preferred embodiment of the method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to the present invention, the construction of an efficiency optimization target with a safe combustion pulsation amplitude includes: optimizing the IGV opening adjustment strategy, establishing a multi-objective optimization model, and incorporating the combustion pulsation amplitude into the efficiency optimization target.

[0015] Another object of the present invention is to provide a system for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit, which can solve the problems of lack of systematic solutions, single IGV opening adjustment strategy, and insufficient combustion stability control in the current 6FA gas turbine combined cycle technology by appropriately adjusting the IGV opening.

[0016] As a preferred embodiment of the system for optimizing the efficiency of a combined cycle unit by adjusting the IGV of a 6FA gas turbine according to the present invention, the system includes an operating state recognition module, an IGV opening optimization module, and a combustion stability control module. The operating state recognition module is responsible for monitoring and acquiring key operating parameters such as the ambient temperature Tamb, the unit load MWx, and the status of the intake air heating system in real time, and accurately identifying the operating state of the unit according to the preset logical judgment rules. The IGV opening optimization module is used to calculate the IGV correction value and adjust the IGV opening according to the result of the operating state recognition module, in combination with the calculation results of the Thermoflex gas turbine model, on-site test data, and actual operating parameters. The combustion stability control module is used to monitor the combustion pulsation amplitude in real time and evaluate the stability of the combustion process according to the preset safety range. When the combustion pulsation amplitude exceeds the safety range, the module will timely adjust the IGV opening adjustment strategy to perform combustion adjustment.

[0017] A computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the method for optimizing the efficiency of a combined cycle unit by adjusting the IGV of a 6FA gas turbine.

[0018] A computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor, it implements the steps of the method for optimizing the efficiency of a combined cycle unit by adjusting the IGV of a 6FA gas turbine.

[0019] The beneficial effects of the present invention: The method for optimizing the efficiency of a combined cycle unit by adjusting the IGV of a 6FA gas turbine provided by the present invention, at the ambient temperature Tamb, when the 6FA combined cycle unit operates at the specified load MWx, increases the gas turbine exhaust gas temperature Texh by reducing the IGV opening, thereby improving the operating efficiency of the 6FA combined cycle unit at the specified load MWx; at the ambient temperature Tamb, when the 6FA combined cycle unit operates at the specified load MWx, reduces the gas turbine exhaust gas temperature Texh by increasing the IGV opening, thereby improving the operating efficiency of the 6FA combined cycle unit at the specified load MWx. The present invention can effectively improve the operating efficiency of the 6FA combined cycle unit at the specified load, reduce energy consumption, and improve economic benefits by optimizing the IGV opening, adjust the IGV opening according to the characteristics of the 6FA gas turbine and the actual operating state of the unit, and perform dynamic adjustment according to the ambient temperature and the gas turbine load to achieve the optimization of unit operation. Description of the Drawings

[0020] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0021] Figure 1 It is the overall flowchart of the method for adjusting the efficiency of the 6FA gas turbine IGV optimization combined cycle unit provided by the first embodiment of the present invention. Specific embodiments

[0022] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the specific embodiments of the present invention in detail with reference to the drawings of the specification. Obviously, the described embodiments are some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] Embodiment 1, referring to Figure 1 , which is an embodiment of the present invention, provides a method for adjusting the efficiency of the 6FA gas turbine IGV optimization combined cycle unit, including:

[0024] S1: Based on the current ambient temperature and the unit load status, determine the operating status of the 6FA combined cycle unit.

[0025] Furthermore, determining the operating status of the 6FA combined cycle unit includes reading the data of the ambient temperature sensor and the load sensor, confirming the real-time ambient temperature Tamb and the unit load MWx data, judging the status of the intake air heating system based on the preset ambient temperature and load range, and inputting the status of the intake air heating system into the IGV adjustment logic. When the intake air heating system is closed, the IGV opening is reduced; when the intake air heating system is opened, the IGV opening is increased.

[0026] It should be noted that determining the operating status of the 6FA combined cycle unit includes establishing a relationship model between the ambient temperature, load, and the status of the intake air heating system, dynamically adjusting the preset ambient temperature and load range based on the influence of the gas turbine exhaust temperature and steam pressure operating parameters on the status of the intake air heating system, and adaptively optimizing the control of the IGV opening based on the deep learning-based reinforcement learning algorithm and the method of simulating the gas turbine operating environment and training the intelligent agent.

[0027] It should also be noted that by establishing a deep learning relationship model between the ambient temperature, load, and the state of the intake air heating system, and combining an innovative method of comprehensive multi-parameter analysis and dynamic adjustment of the preset range, the accurate judgment of the operating state of the 6FA combined cycle unit and the fine control of the IGV opening are realized, effectively improving the operating efficiency of the unit and the intelligent level of the control system.

[0028] S2: Moderately adjust the IGV opening based on the state of the intake air heating system and the actual operating parameters.

[0029] Furthermore, moderately adjusting the IGV opening includes selecting different IGV opening adjustment strategies based on the state of the intake air heating system.

[0030] It should be noted that selecting different IGV opening adjustment strategies includes: when the intake air heating system is completely closed, reading the data of the IGV opening sensor to obtain the current IGV opening value, obtaining the opening value of the current compressor inlet guide vane, judging whether the current IGV opening is within the preset safety range of 40% to 99%, and calculating the IGV correction value based on the actual operating parameters of the ambient temperature, load, and exhaust gas temperature, as well as the calculation results of the Thermoflex gas turbine model, expressed as:

[0031] ΔIGV = k * [(a * Tamb + b * MWx + c) - Texh_current]

[0032] Where k is the IGV opening correction coefficient, Tamb is any ambient temperature, MWx is the specified load value, Texh_current is the current exhaust gas temperature, a is the ambient temperature coefficient, b is the load coefficient, c is a constant term, adjust the IGV opening within the parameter safety range, apply the calculated IGV correction value to the current IGV opening, and limit it according to the preset safety range.

[0033] It should be noted that selecting different IGV opening adjustment strategies includes: when the intake air heating system is not completely closed, reading the data of the IGV opening sensor to obtain the opening value of the current compressor inlet guide vane, judging whether the current IGV opening is within the preset safety range of 15% to 40%, calculating and adjusting the IGV opening within the parameter safety range, optimizing the intake air heating system, calculating the IGV opening adjustment amount based on the actual operating parameters of the ambient temperature, load, exhaust gas temperature, and intake air heating system flow rate, as well as the calculation results of the Thermoflex gas turbine model, limiting it according to the preset safety range, and optimizing the operating parameters of the intake air heating system.

[0034] It should also be noted that moderately adjusting the IGV opening includes establishing an IGV opening adjustment model, automatically calculating the IGV opening adjustment amount based on the actual operating parameters and the calculation results of the Thermoflex gas turbine model, and performing safety range limitation; based on the unit operating status, efficiency change, and simulation and on-site tests, adaptively adjusting the IGV opening adjustment parameters and optimizing the IGV opening adjustment strategy.

[0035] It should also be noted that based on establishing a deep learning relationship model between the ambient temperature, load, and the state of the intake air heating system, combining multi-parameter comprehensive analysis, dynamically adjusting the preset range, deep learning the IGV opening adjustment model, parameter adaptive adjustment mechanism, and optimization strategy, the accurate judgment of the operating status of the 6FA combined cycle unit and the fine control of the IGV opening are realized, effectively improving the unit operating efficiency and the intelligent level of the control system, enhancing the control efficiency and accuracy, adapting to different operating conditions, and having significant economic and environmental benefits.

[0036] S3: Based on adjusting the IGV opening, construct an efficiency optimization target with a safe combustion pulsation amplitude.

[0037] Furthermore, constructing an efficiency optimization target with a safe combustion pulsation amplitude includes setting a safe range for the combustion pulsation amplitude, defining a safety threshold for the combustion pulsation amplitude based on the on-site environment, considering the differences in the safe range under different loads and operating conditions, establishing a dynamic safe range model, using sensors to collect combustion pulsation amplitude data in real time, monitoring the change of the combustion pulsation amplitude in real time, analyzing the change trend of the combustion pulsation amplitude, and evaluating the stability of the combustion process.

[0038] It should be noted that constructing an efficiency optimization target with a safe combustion pulsation amplitude includes optimizing the IGV opening adjustment strategy, incorporating the combustion pulsation amplitude into the objective function of the IGV opening adjustment, establishing a multi-objective optimization model, and using an optimization algorithm to incorporate the combustion pulsation amplitude into the efficiency optimization target.

[0039] It should also be noted that constructing an efficiency optimization target with a safe combustion pulsation amplitude, incorporating the combustion pulsation amplitude into the objective function of the IGV opening adjustment, establishing a multi-objective optimization model, realizing the fine control of the gas turbine combustion process, improving the operating efficiency of the gas turbine, reducing the emissions of pollutants such as nitrogen oxides, and achieving a win-win situation of economic and environmental benefits.

[0040] Embodiment 2, an embodiment of the present invention, provides a method for adjusting the efficiency of the 6FA gas turbine IGV optimized combined cycle unit. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0041] First, prepare two 6FA combined cycle units of the same model, both equipped with the MK6e control system. Conduct a comprehensive inspection and maintenance on the two units to ensure that the units are in the best operating condition. Establish a 6FA gas turbine model on the Thermoflex platform and calibrate the parameters according to the actual situation of the units. Develop a detailed experimental plan, determine the experimental ambient temperature, unit load, and the adjustment range of the IGV opening. Uniformly adjust the unit load to 90 MW.

[0042] Define turning off the gas turbine inlet heating system completely as Plan 1. Turn off the gas turbine inlet heating system. In the range of 40 - 99% of the IGV opening, gradually reduce the IGV opening according to the optimization strategy, with an adjustment amplitude of 0.5% each time. Record parameters such as the exhaust gas temperature Texh, the reference combustion temperature TTRF1, and the combustion pulsation value after each adjustment. When the exhaust gas temperature Texh rises to the target value (0 - 5.6 °C) and the combustion parameters are within the safe range, record the IGV opening and the unit efficiency at this time.

[0043] Define the gas turbine inlet heating system being in the on state as Plan 2. Keep the gas turbine inlet heating system in the on state. In the range of 15 - 40% of the IGV opening, gradually increase the IGV opening according to the optimization strategy, with an adjustment amplitude of 0.5% each time. Record parameters such as the exhaust gas temperature Texh, the reference combustion temperature TTRF1, and the combustion pulsation value after each adjustment. When the exhaust gas temperature Texh drops to the target value (0 - 5.6 °C) and the combustion parameters are within the safe range, record the IGV opening and the unit efficiency at this time.

[0044] Table 1 Comparison of changes in unit efficiency

[0045]

[0046] Secondly, in both experimental plans, the unit efficiency was improved by adjusting the IGV opening. In Plan 1, the IGV opening decreased by 3.57% and the unit efficiency increased by 0.28%. In Plan 2, the IGV opening increased by 2.14% and the unit efficiency increased by 0.15%. By adjusting the IGV opening, the change in the gas turbine exhaust gas temperature Texh can be controlled. Table 1 shows that the increase in the exhaust gas temperature Texh is positively correlated with the increase in the unit efficiency.

[0047] In addition, the traditional IGV control logic of the 6FA gas turbine mainly adjusts according to the load, without considering the influence of the ambient temperature, the unit operating state, and the inlet heating system, resulting in a relatively low unit efficiency at partial loads. Through the deep learning algorithm, the multi-objective optimization algorithm, and the Thermoflex gas turbine model of the present invention, the refined control of the IGV opening can be achieved, and dynamic adjustment can be made according to different operating conditions, effectively improving the unit efficiency, reducing energy consumption, and pollutant emissions.

[0048] Finally, through the deep learning algorithm, the present invention can more accurately predict the impact of IGV opening adjustment on the unit performance, optimize the IGV opening adjustment strategy, improve the unit efficiency. Through the multi-objective optimization algorithm, the extraction air volume of the intake air heating system and the unit efficiency can be incorporated into the objective function of the IGV opening adjustment to achieve multi-objective optimization and further reduce the unit energy consumption.

[0049] This experiment verifies the effectiveness of the present invention in optimizing the efficiency of the 6FA combined cycle unit by adjusting the IGV opening under partial load. The present invention is innovative, can effectively improve the unit efficiency, reduce energy consumption and pollutant emissions, and has significant application value.

[0050] Embodiment 3 is an embodiment of the present invention, which provides a system for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit, including an operating state recognition module, an IGV opening optimization module, and a combustion stability control module.

[0051] Wherein S4: The operating state recognition module includes an ambient temperature monitoring sub-module, a load monitoring sub-module, an intake air heating system state monitoring sub-module, and a logic judgment sub-module.

[0052] Furthermore, the ambient temperature monitoring sub-module is used to monitor the current ambient temperature Tamb and input it into the system; the load monitoring sub-module is used to monitor the load MWx of the current 6FA combined cycle unit and input it into the system; the intake air heating system state monitoring sub-module is used to monitor the state of the intake air heating system IBH of the 6FA gas turbine and judge whether it is completely closed; the logic judgment sub-module judges whether the current operating state is completely closed according to the ambient temperature, load and intake air heating system state.

[0053] It should be noted that the ambient temperature monitoring sub-module, the load monitoring sub-module and the intake air heating system state monitoring sub-module are in a parallel relationship. They independently monitor the ambient temperature, load and intake air heating system state respectively, and output the results to the logic judgment sub-module.

[0054] It should also be noted that the operating state recognition module receives the result of the operating state generated by the logic judgment sub-module based on the data and information provided by other sub-modules, and transmits the final operating state result to the IGV opening optimization module.

[0055] S5: The IGV opening optimization module includes a Thermoflex model calculation sub-module and an IGV control logic correction sub-module.

[0056] Furthermore, the Thermoflex model calculation sub-module is used to identify information such as the ambient temperature and load output by the module according to the operating state, perform calculations on the Thermoflex software platform, and obtain the optimized IGV opening value; the IGV control logic correction sub-module corrects the calculation results of the Thermoflex model according to the information output by the operating state identification module.

[0057] It should be noted that the Thermoflex model calculation sub-module and the IGV control logic correction sub-module are in a sequential relationship. The Thermoflex model calculation sub-module first calculates the IGV opening value, and then the IGV control logic correction sub-module corrects the IGV opening value and outputs the final result to the main module.

[0058] It should also be noted that the IGV opening optimization module receives the final optimized IGV opening value transmitted by the Thermoflex model calculation sub-module and the IGV control logic correction sub-module, and transmits the final optimized IGV opening value to the combustion stability control module.

[0059] S6: The combustion stability control module includes a combustion temperature monitoring sub-module, a combustion pulsation monitoring sub-module, and a combustion adjustment sub-module.

[0060] Furthermore, the combustion temperature monitoring sub-module is used to monitor the reference combustion temperature TTRF1 of the gas turbine to ensure that TTRF1 does not exceed the design value; the combustion pulsation monitoring sub-module is used to monitor the combustion pulsation amplitude of the gas turbine to ensure that the combustion pulsation amplitude is within the safe range; the combustion adjustment sub-module is used to perform combustion adjustment as needed when the combustion temperature or pulsation amplitude exceeds the safe range to ensure the stability of the combustion process.

[0061] It should be noted that the combustion temperature monitoring sub-module, the combustion pulsation monitoring sub-module, and the combustion adjustment sub-module are in a parallel relationship, independently monitoring the combustion temperature and pulsation amplitude respectively, and performing combustion adjustment as needed to ensure the stability of the combustion process.

[0062] It should also be noted that the combustion temperature monitoring sub-module and the combustion pulsation monitoring sub-module output the monitoring results to the combustion adjustment sub-module, and the combustion adjustment sub-module judges whether combustion adjustment is needed according to this information.

[0063] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., all kinds of media that can store program codes.

[0064] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device.

[0065] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAMs), read-only memories (ROMs), erasable programmable read-only memories (EPROMs or flash memories), fiber optic devices, and portable compact disc read-only memories (CDROMs). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0066] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques well known in the art or a combination thereof can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit, characterized in that, Including: Determine the operating state of the 6FA combined cycle unit based on the current ambient temperature and unit load status; Moderately adjust the IGV opening based on the intake air heating system status and actual operating parameters; Based on the adjusted IGV opening, construct an efficiency optimization target with a safe combustion pulsation amplitude; The operating state of the 6FA combined cycle unit includes the unit working state determined according to the ambient temperature, load, intake air heating system status, and actual operating parameters, and adjust the IGV opening based on the unit working state; Moderately adjusting the IGV opening includes constructing a non-linear relationship model between the ambient temperature, load, exhaust gas temperature, and IGV opening, and combining the calculation results of the Thermoflex gas turbine model, and optimizing the IGV opening based on a multi-objective optimization algorithm; The non-linear relationship model between the parameters and the IGV opening includes a non-linear mapping relationship between the ambient temperature, load, exhaust gas temperature, and IGV opening established by mathematical methods, which is used to capture the complex non-linear relationship between the parameters and the IGV opening; Constructing an efficiency optimization target with a safe combustion pulsation amplitude includes constructing a multi-objective optimization model with efficiency optimization as the goal based on the operating state of the 6FA combined cycle unit and environmental parameters, combining the Thermoflex gas turbine model and the safe threshold of the combustion pulsation amplitude, and constructing a dynamic adjustment strategy for the IGV opening based on the reinforcement learning algorithm.

2. The method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to claim 1, wherein: The determining the operating state of the 6FA combined cycle unit includes, Read the data of the ambient temperature sensor and the load sensor, judge the intake air heating system status based on the preset ambient temperature and load range, and use the intake air heating system status to input the IGV adjustment logic.

3. The method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to claim 1 or 2, characterized in that: The moderately adjusting the IGV opening includes, Select different IGV opening adjustment strategies based on the intake air heating system status.

4. The method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to claim 3, wherein: The selecting different IGV opening adjustment strategies includes, When the intake air heating system is completely closed, obtain the opening value of the current compressor inlet guide vane, judge whether the current IGV opening is within the range of 40% to 99%, calculate the IGV correction value, and adjust the IGV opening within the parameter safety range.

5. The method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to claim 4, characterized in that: The selecting different IGV opening adjustment strategies includes, When the intake air heating system is not completely closed, obtain the opening value of the current compressor inlet guide vane, judge whether the current IGV opening is within the range of 15% to 40%, calculate and adjust the IGV opening within the parameter safety range, and optimize the intake air heating system.

6. The method for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit according to claim 5, characterized in that: The constructing an efficiency optimization target with a safe combustion pulsation amplitude includes, Set a safe range for the combustion pulsation amplitude, monitor the combustion pulsation amplitude in real time, analyze the change trend of the combustion pulsation amplitude, and evaluate the stability of the combustion process.

7. The method for adjusting the efficiency of a combined cycle unit by optimizing the IGV of a 6FA gas turbine as claimed in claim 6, wherein: The constructing an efficiency optimization target with a safe combustion pulsation amplitude includes, Optimize the IGV opening adjustment strategy, establish a multi-objective optimization model, and incorporate the combustion pulsation amplitude into the efficiency optimization target.

8. A system for adjusting the IGV of a 6FA gas turbine to optimize the efficiency of a combined cycle unit, characterized in that: Including an operating state identification module, an IGV opening optimization module, and a combustion stability control module; The operating state identification module is responsible for real-time monitoring and obtaining the ambient temperature Tamb, the unit load MWx, and the intake air heating system status, and accurately identifying the operating state of the unit according to the preset logical judgment rules; The IGV opening optimization module is used to calculate the IGV correction value according to the results of the operation status identification module, combined with the calculation results of the Thermoflex gas turbine model, on-site test data and actual operation parameters, and adjust the IGV opening; The combustion stability control module is used to monitor the combustion pulsation amplitude in real time, evaluate the stability of the combustion process according to the preset safety range. When the combustion pulsation amplitude exceeds the safety range, the module will timely adjust the IGV opening adjustment strategy for combustion adjustment.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for adjusting the efficiency of the combined cycle unit with IGV optimization of the 6FA gas turbine according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for adjusting the efficiency of the combined cycle unit with IGV optimization of the 6FA gas turbine according to any one of claims 1 to 7.

Images