Gas turbine power station fuel consumption data correction method, device, equipment and medium

Abstract

The invention provides a gas turbine power station fuel consumption data correction method, device and equipment and a medium, and relates to the field of gas turbine power stations. The method comprises the following steps: collecting real-time operation data of the gas turbine power station; according to the real-time operation data, checking calculation of mass balance and energy balance is conducted on a gas turbine of the gas turbine power station, and a fuel consumption calculation value is obtained; and comparing the fuel consumption calculation value with a fuel consumption measurement value of a fuel flow measurement instrument to obtain a deviation result, and correcting the fuel consumption measurement value according to the deviation result.

Description

Technical Field

[0001] This application relates to the field of gas turbine power plants, and in particular to a method, apparatus, computer equipment, and readable storage medium for correcting fuel consumption data in gas turbine power plants. Background Technology

[0002] Gaseous fuels used in gas turbine power plants generally include natural gas, liquefied petroleum gas, associated petroleum gas, producer gas, blast furnace gas, coalbed methane, biogas, and hydrogen, while liquid fuels mainly include light oil, heavy oil, methanol, and ethanol. Accurate measurement of fuel consumption is crucial to the economic efficiency of the power plant operation; therefore, the measurement accuracy of flow measurement elements is extremely important.

[0003] The measurement of general liquid or gas flow rates can be achieved using various measuring methods or instruments, including differential pressure flow meters, volumetric flow meters, ultrasonic flow meters, turbine flow meters, vortex flow meters, and target flow meters. However, in actual measurement and monitoring processes, these flow measurement instruments often exhibit irregular random fluctuations in measurement results and long-term drift due to factors such as fluid flow rate fluctuations, fluid pressure fluctuations, unsteady fluid interference, measurement element errors, and signal transmission noise.

[0004] To avoid economic losses caused by decreased accuracy or drift in fuel flow measurement instruments, it is common practice to add multiple different types of metering instruments to the same pipeline. However, this also leads to increased costs, system complexity, and maintenance difficulties. Summary of the Invention

[0005] In view of this, this application provides a method, apparatus, computer equipment, and readable storage medium for correcting fuel consumption data in gas turbine power plants.

[0006] In a first aspect, embodiments of this application provide a method for correcting fuel consumption data in a gas turbine power plant, including:

[0007] Collect real-time operating data of the gas turbines in gas turbine power plants;

[0008] Based on the real-time operating data, the gas turbine is subjected to mass balance and energy balance verification calculations to obtain the calculated fuel consumption value.

[0009] The calculated fuel consumption value is compared with the fuel consumption measurement value from the fuel flow meter to obtain the deviation result, and the fuel consumption measurement value is corrected based on the deviation result.

[0010] The method described in the embodiments of this application may also have the following additional technical features:

[0011] Optionally, in the above technical solution, the real-time operating data includes: gas turbine power generation, gas turbine flue gas temperature, compressor outlet pressure and outlet temperature, gas working fluid composition, and fuel calorific value.

[0012] In any of the above technical solutions, optionally, the step of performing mass balance and energy balance verification calculations on the gas turbine based on the real-time operating data to obtain the calculated fuel consumption value includes:

[0013] S201, obtain the theoretical value of turbine exhaust flow rate under the current load of the gas turbine, and calculate the total heat at the turbine outlet based on the theoretical value of turbine exhaust flow rate, the gas turbine exhaust temperature, and the composition and thermal properties of the gas working fluid.

[0014] S202, the theoretical value of turbine work is calculated based on the turbine work model and the theoretical value of turbine exhaust flow rate;

[0015] S203, Based on the total heat at the turbine outlet and the theoretical value of the turbine's work, the total heat at the turbine inlet is calculated and used as the total heat at the combustion chamber outlet;

[0016] S204. Based on the theoretical value of the turbine exhaust flow rate and the iterative value of the fuel quantity, the compressor outlet flow rate is calculated, and based on the compressor outlet flow rate, the compressor outlet pressure and the outlet temperature, the total heat at the compressor outlet is obtained and used as the total heat at the combustion chamber inlet.

[0017] S205, based on the total heat at the combustion chamber outlet and the total heat at the combustion chamber inlet, and combined with the heat carried by the fuel itself, the total heat released by fuel combustion is calculated using a combustion chamber combustion process calculation model;

[0018] S206, determine the first fuel consumption calculation value based on the total heat released by the combustion of the fuel and the calorific value of the fuel.

[0019] Optionally, in any of the above technical solutions, after S206, the method further includes:

[0020] S207, Based on the combustion process calculation model of the combustion chamber, the changes in the composition of the gas working fluid and the thermophysical data are corrected, and the compressor power consumption is calculated based on the compressor model. Combined with the power generation of the gas turbine, the theoretical value of the turbine work is corrected, and then the total heat at the combustion chamber outlet is corrected.

[0021] Repeat the iterative calculation process from S201 to S207 until the calculated value of the first fuel consumption converges, and obtain the converged value of the fuel consumption calculation, which is then used as the calculated value of the fuel consumption.

[0022] Optionally, in any of the above technical solutions, the method further includes:

[0023] The changes in the composition of the combustion working fluid and the thermal property data are calculated based on the atmospheric composition data, fuel composition data, thermophysical equations of each mixture working fluid, and the preliminary estimated ratio of inlet air flow and fuel consumption.

[0024] In any of the above technical solutions, optionally, the step of comparing the calculated fuel consumption value with the fuel consumption measurement value of the fuel flow measuring instrument to obtain a deviation result, and correcting the fuel consumption measurement value based on the deviation result, includes:

[0025] The raw data of the fuel consumption measurement values ​​of the fuel flow measuring instrument are processed by a data filtering algorithm;

[0026] The calculated fuel consumption value is compared with the measured fuel consumption value processed by the data filtering algorithm to obtain the deviation result, and the measured fuel consumption value is corrected according to the deviation result.

[0027] Optionally, in any of the above technical solutions, the method further includes:

[0028] The accuracy calibration result of the fuel flow measurement instrument is determined based on the deviation result; and / or,

[0029] Based on the deviation results and their historical trends, the accuracy variation of the fuel flow measurement instrument is determined.

[0030] Secondly, embodiments of this application provide a gas turbine power plant operation data correction device, comprising:

[0031] The data acquisition module is used to collect real-time operating data of the gas turbine in the gas turbine power plant;

[0032] The verification calculation module is used to perform mass balance and energy balance verification calculations on the gas turbine based on the real-time operating data, and obtain the calculated value of fuel consumption.

[0033] The comparison and correction module is used to compare the calculated fuel consumption value with the fuel consumption measurement value of the fuel flow measuring instrument, obtain the deviation result, and correct the fuel consumption measurement value according to the deviation result.

[0034] Thirdly, embodiments of this application provide a computer device including a processor and a memory, the memory storing programs or instructions that can run on the processor, the programs or instructions implementing the steps of the method as described in the first aspect when executed by the processor.

[0035] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method as described in the first aspect.

[0036] The gas turbine power plant fuel consumption data correction method, apparatus, computer equipment, and readable storage medium of this application realize soft measurement of fuel consumption parameters through verification calculation of the working fluid and energy balance of the gas turbine. It can intuitively reflect the fuel consumption of the gas turbine. By comparing with the fuel consumption measurement value of the fuel flow measuring instrument, it realizes online correction of the fuel consumption measurement value, reduces the problem of inaccurate fuel consumption measurement caused by the decrease in accuracy or drift of the fuel flow measuring instrument, and avoids the problems of increased cost, system complexity and maintenance trouble.

[0037] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0038] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0039] Figure 1 One of the flowcharts of the gas turbine power plant fuel consumption data correction method according to an embodiment of this application is shown;

[0040] Figure 2 The second schematic flowchart of the fuel consumption data correction method for gas turbine power plants according to an embodiment of this application is shown.

[0041] Figure 3 A screenshot of the program operation interface of an embodiment of this application is shown;

[0042] Figure 4 A structural block diagram of a gas turbine power plant fuel consumption data correction device according to an embodiment of this application is shown;

[0043] Figure 5 A structural block diagram of a computer device according to an embodiment of this application is shown. Detailed Implementation

[0044] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0045] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0046] The following description, in conjunction with the accompanying drawings, details the fuel consumption data correction method, apparatus, computer equipment, and readable storage medium for gas turbine power plants provided in this application, through specific embodiments and application scenarios. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0047] This application provides a method for correcting fuel consumption data in a gas turbine power plant, such as... Figure 1 As shown, the method includes:

[0048] Step 101: Collect real-time operating data of the gas turbine in the gas turbine power plant.

[0049] In this step, real-time operating data of the gas turbine is collected from the gas turbine power plant's DCS (Distributed Control System) through appropriate communication interfaces and protocols. In one embodiment, the real-time operating data includes: gas turbine power generation, gas turbine flue gas temperature, compressor outlet pressure and temperature, gas working fluid composition, fuel calorific value, atmospheric temperature, and atmospheric humidity.

[0050] Step 102: Based on real-time operating data, perform mass balance and energy balance verification calculations on the gas turbine to obtain the calculated fuel consumption value.

[0051] In this step, based on the aforementioned real-time operating data, the gas turbine is subjected to verification calculations for mass balance and energy balance to obtain the total heat released by the combustion of fuel in the combustion chamber, and thus obtain the calculated value of fuel consumption.

[0052] In one embodiment of this application, based on real-time operating data, mass balance and energy balance verification calculations are performed on the gas turbine to obtain a calculated fuel consumption value, including:

[0053] S201, obtain the theoretical value of turbine exhaust flow rate under the current load of the gas turbine, and calculate the total heat at the turbine outlet based on the theoretical value of turbine exhaust flow rate, gas turbine exhaust temperature, and gas working fluid composition and thermal property data;

[0054] S202, the theoretical value of turbine work is calculated based on the turbine work model and the theoretical value of turbine exhaust flow rate;

[0055] S203, based on the total heat at the turbine outlet and the theoretical value of turbine work, the total heat at the turbine inlet is calculated and used as the total heat at the combustion chamber outlet;

[0056] S204. Based on the theoretical value of turbine exhaust flow rate and the iterative value of fuel quantity, the compressor outlet flow rate is calculated, and based on the compressor outlet flow rate, compressor outlet pressure and outlet temperature, the total heat at the compressor outlet is obtained and used as the total heat at the combustion chamber inlet.

[0057] S205, based on the total heat at the combustion chamber outlet and the total heat at the combustion chamber inlet, and combined with the heat carried by the fuel itself, the total heat released by fuel combustion is calculated using a combustion chamber combustion process calculation model;

[0058] S206, Determine the first fuel consumption calculation value based on the total heat released by fuel combustion and the calorific value of the fuel;

[0059] S207, based on the combustion process calculation model of the combustion chamber, corrects the changes in the composition and thermophysical properties of the working fluid of the gas, and calculates the power consumption of the compressor based on the compressor model, and combines the power generation of the gas turbine to correct the theoretical value of the turbine work, and further corrects the total heat at the combustion chamber outlet.

[0060] Repeat the iterative calculation process from S201 to S207 until the calculated first fuel consumption value converges, and obtain the converged fuel consumption value as the calculated fuel consumption value.

[0061] In this embodiment, such as Figure 2 As shown, firstly, using the gas turbine design data provided by the manufacturer, the theoretical value of the turbine exhaust flow rate under the current load is obtained through variable operating condition curve interpolation. Based on this theoretical value, the total heat output of the turbine is calculated from the gas turbine exhaust temperature and preliminary data on the composition and thermophysical properties of the gas working fluid.

[0062] Secondly, based on the turbine work model and the theoretical value of turbine exhaust flow rate, the theoretical value of turbine work is calculated. Then, based on the theoretical value of turbine work and the total heat at the turbine outlet, the total heat at the turbine inlet is calculated and used as the total heat at the combustion chamber outlet.

[0063] Next, based on the theoretical value of turbine exhaust flow rate and the iterative value of fuel quantity, the compressor outlet flow rate is obtained. Combined with the compressor outlet pressure and outlet temperature, the total heat at the compressor outlet is obtained and used as the total heat at the combustion chamber inlet.

[0064] Next, based on the total heat at the combustion chamber outlet and the total heat at the combustion chamber inlet, and considering the influence of the heat carried by the fuel itself, the total heat released by fuel combustion is obtained from the combustion process calculation model. Then, based on the calorific value of the fuel, the preliminary calculated value of fuel consumption, also known as the first calculated value of fuel consumption, is obtained.

[0065] Next, based on the combustion process calculation model in the combustion chamber, the changes in the working fluid composition and thermophysical property data of the gas are corrected. Then, the compressor power consumption is calculated based on the compressor model, and combined with the gas turbine power generation, the theoretical value of turbine work is corrected, and consequently, the total heat at the combustion chamber outlet is corrected.

[0066] Finally, repeat the above iterative calculation process until all values ​​converge, thereby obtaining the converged value of fuel consumption calculation, which is then used as the fuel consumption calculation value.

[0067] It should be noted that the initial value of the fuel quantity iteration value, that is, the value at the time of the first iteration, is a given value within a preset range. In subsequent iterations, the fuel quantity iteration value, which is also the first calculated fuel consumption value, is the converged value of the fuel consumption calculation after the first calculated fuel consumption value converges.

[0068] In this embodiment, the fuel consumption is calculated iteratively based on changes in the working fluid composition and fuel composition data, fuel calorific value data, etc. During this process, the calculation results are iteratively corrected by the changes in the composition and thermophysical properties of the working fluid during combustion in the combustion chamber, as well as the theoretical value of turbine work done, significantly improving the accuracy of soft-sensor calculations of fuel consumption.

[0069] In one embodiment of this application, the method further includes: calculating the changes in the composition and thermal properties of the combustion working fluid based on atmospheric composition data entering the combustion chamber, fuel composition data, thermophysical equations of each mixture working fluid, and a preliminary estimate of the ratio of inlet air flow rate to fuel consumption.

[0070] In this embodiment, by establishing a suitable combustion process calculation model for the combustion chamber, the composition changes and thermal properties of the working fluid before and after the combustion chamber are preliminarily calculated using atmospheric composition data, fuel composition data, thermophysical equations of each mixture working fluid, and the preliminary estimated ratio of inlet air flow and fuel consumption. This yields the composition and thermal properties of the combustion working fluid after combustion, which serve as the basis for calculating the working fluid and energy balance.

[0071] Step 103: Compare the calculated fuel consumption value with the fuel consumption measurement value from the fuel flow meter to obtain the deviation result, and correct the fuel consumption measurement value based on the deviation result.

[0072] In one embodiment of this application, comparing the calculated fuel consumption value with the fuel consumption measurement value from a fuel flow meter to obtain a deviation result, and correcting the fuel consumption measurement value based on the deviation result, includes:

[0073] The raw data of fuel consumption measurements from fuel flow meters are processed using a data filtering algorithm.

[0074] The calculated fuel consumption value is compared with the measured fuel consumption value processed by the data filtering algorithm to obtain the deviation result, and the measured fuel consumption value is corrected according to the deviation result.

[0075] In this embodiment, considering the various high-order random fluctuations and dynamic delays in the real-time fuel consumption measurement, directly comparing the measured and calculated values ​​would result in inconsistent deviations, making a direct comparison difficult. Therefore, the raw fuel consumption measurement data is processed using a data filtering algorithm. First-order or second-order inertial filtering can be selected based on the characteristics of the measuring instrument and the fluctuation of the measured values.

[0076] The calculated fuel consumption value is compared with the measured fuel consumption value after data filtering. Based on the deviation between the two values, the accuracy of the fuel consumption measuring element (i.e., the fuel flow measuring instrument) is calibrated online.

[0077] In one embodiment of this application, the method further includes:

[0078] The accuracy calibration results of the fuel flow measurement instrument are determined based on the deviation results; and / or,

[0079] Based on the deviation results and their historical trends, the accuracy variation of the fuel flow measurement instrument is determined.

[0080] In this embodiment, the accuracy calibration results of the fuel flow measurement instrument can be evaluated based on the deviation results, the accuracy of the fuel flow measurement instrument can be determined, and reasonable suggestions or early warning information can be given.

[0081] Furthermore, based on the deviation results and their historical trends, the accuracy changes of the fuel flow measurement instrument can be assessed, and the necessity of maintenance can be determined.

[0082] In this embodiment, by verifying and calculating the working fluid and energy balance of the gas turbine, a soft measurement of fuel consumption parameters is achieved. This can intuitively reflect the fuel consumption of the gas turbine. By comparing the fuel consumption measurement value with that of the fuel flow measuring instrument, online correction of the fuel consumption measurement value is achieved. This reduces the problem of inaccurate fuel consumption measurement caused by the decrease in accuracy or drift of the fuel flow measuring instrument, while avoiding the problems of increased cost, system complexity and maintenance trouble.

[0083] This application requires, based on the specific conditions of the gas turbine power plant, the cooperation of professionals in thermal control, operation and maintenance, and other related fields to perform tasks such as data communication, system configuration, interface configuration, and front-end display. Figure 3 The image shows the interface for correcting fuel consumption data in a gas turbine power plant. Technical support from the relevant manufacturer may be required if necessary.

[0084] After the deployment work is completed, it is necessary to carry out tasks such as checking the measuring points, processing data, debugging algorithms, and calibrating models based on the actual operation of the gas turbine, until it can operate normally and calculate the correct results.

[0085] After the algorithm program runs normally, and after a period of observation and evaluation, if the algorithm is stable, the data does not show any abnormalities such as drift or oscillation, and the program calculation results are basically consistent with the actual gas turbine operation and maintenance statistics, it can be used as an auxiliary correction method for fuel consumption.

[0086] As a specific implementation of the above-mentioned gas turbine power plant operation data correction method, this application provides a gas turbine power plant operation data correction device. For example... Figure 4 As shown, the gas turbine power plant operation data correction device 400 includes: a data acquisition module 401, a verification calculation module 402, and a comparison correction module 403.

[0087] Among them, the data acquisition module 401 is used to collect real-time operating data of the gas turbine of the gas turbine power plant;

[0088] The verification calculation module 402 is used to perform verification calculations on the mass balance and energy balance of the gas turbine based on real-time operating data, and obtain the calculated value of fuel consumption.

[0089] The comparison and correction module 403 is used to compare the calculated fuel consumption value with the fuel consumption measurement value of the fuel flow measuring instrument, obtain the deviation result, and correct the fuel consumption measurement value according to the deviation result.

[0090] Furthermore, real-time operating data includes: gas turbine power generation, gas turbine flue gas temperature, compressor outlet pressure and temperature, gas working fluid composition, and fuel calorific value.

[0091] Furthermore, the working process of the verification calculation module 402 specifically includes:

[0092] S201, obtain the theoretical value of turbine exhaust flow rate under the current load of the gas turbine, and calculate the total heat at the turbine outlet based on the theoretical value of turbine exhaust flow rate, gas turbine exhaust temperature, and gas working fluid composition and thermal property data;

[0093] S202, the theoretical value of turbine work is calculated based on the turbine work model and the theoretical value of turbine exhaust flow rate;

[0094] S203, based on the total heat at the turbine outlet and the theoretical value of turbine work, the total heat at the turbine inlet is calculated and used as the total heat at the combustion chamber outlet;

[0095] S204. Based on the theoretical value of turbine exhaust flow rate and the iterative value of fuel quantity, the compressor outlet flow rate is calculated, and based on the compressor outlet flow rate, compressor outlet pressure and outlet temperature, the total heat at the compressor outlet is obtained and used as the total heat at the combustion chamber inlet.

[0096] S205, based on the total heat at the combustion chamber outlet and the total heat at the combustion chamber inlet, and combined with the heat carried by the fuel itself, the total heat released by fuel combustion is calculated using a combustion chamber combustion process calculation model;

[0097] S206, determine the first fuel consumption calculation value based on the total heat released by fuel combustion and the calorific value of the fuel.

[0098] Furthermore, the working process of the verification calculation module 402 also includes:

[0099] S207, based on the combustion process calculation model of the combustion chamber, corrects the changes in the composition and thermophysical properties of the working fluid of the gas, and calculates the power consumption of the compressor based on the compressor model, and combines the power generation of the gas turbine to correct the theoretical value of the turbine work, and further corrects the total heat at the combustion chamber outlet.

[0100] Repeat the iterative calculation process from S201 to S207 until the calculated first fuel consumption value converges, and obtain the converged fuel consumption value as the calculated fuel consumption value.

[0101] Furthermore, the verification calculation module 402 is also used to: calculate the changes in the composition and thermal properties of the combustion working fluid based on the atmospheric composition data entering the combustion chamber, the fuel composition data, the thermophysical property equations of each mixture working fluid, and the preliminary estimated ratio of inlet air flow and fuel consumption.

[0102] Furthermore, the comparison and correction module 403 is specifically used for:

[0103] The raw data of fuel consumption measurements from fuel flow meters are processed using a data filtering algorithm.

[0104] The calculated fuel consumption value is compared with the measured fuel consumption value processed by the data filtering algorithm to obtain the deviation result, and the measured fuel consumption value is corrected according to the deviation result.

[0105] Furthermore, the device also includes: a precision calibration module, used for:

[0106] The accuracy calibration results of the fuel flow measurement instrument are determined based on the deviation results; and / or,

[0107] Based on the deviation results and their historical trends, the accuracy variation of the fuel flow measurement instrument is determined.

[0108] The gas turbine power plant operation data correction device 400 in this embodiment can be a computer device or a component within a computer device, such as an integrated circuit or a chip. The computer device can be a terminal or other devices besides a terminal. The gas turbine power plant operation data correction device 400 provided in this embodiment can achieve... Figure 1 and Figure 2 The various processes implemented in the embodiment of the gas turbine power plant operation data correction method will not be described again here to avoid repetition.

[0109] This application also provides a computer device, such as... Figure 5 As shown, the computer device 500 includes a processor 501 and a memory 502. The memory 502 stores programs or instructions that can run on the processor 501. When the program or instructions are executed by the processor 501, they implement the various steps of the above-described gas turbine power plant operation data correction method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0110] The memory 502 can be used to store software programs and various data. The memory 502 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 502 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 502 in this embodiment includes, but is not limited to, these and any other suitable types of memory.

[0111] Processor 501 may include one or more processing units; optionally, processor 501 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 501.

[0112] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described gas turbine power plant operation data correction method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0113] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0114] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method of correcting fuel consumption data of a combustion engine power plant, characterized by, The method comprises the following steps: collecting real-time operation data of a gas turbine of a gas turbine power plant; performing a mass balance and an energy balance check calculation on the gas turbine according to the real-time operation data to obtain a fuel consumption calculation value; comparing the fuel consumption calculation value with a fuel consumption measurement value of a fuel flow measuring instrument to obtain a deviation result, and correcting the fuel consumption measurement value according to the deviation result.

2. The method according to claim 1, wherein the real-time operation data comprises a gas turbine power generation power, a gas turbine exhaust flue gas temperature, a compressor outlet pressure and outlet temperature, a gas working medium composition, and a fuel heat value.

3. The method of claim 2, wherein, the mass balance and energy balance check calculation on the gas turbine according to the real-time operation data to obtain the fuel consumption calculation value comprises: S201, obtaining a theoretical value of a turbine exhaust flue gas flow under a current load of the gas turbine, and calculating a turbine outlet total heat based on the theoretical value of the turbine exhaust flue gas flow, the gas turbine exhaust flue gas temperature, and the gas working medium composition and thermophysical property data; S202, calculating a theoretical value of turbine work based on a turbine work model and the theoretical value of the turbine exhaust flue gas flow; S203, calculating a turbine inlet total heat based on the turbine outlet total heat and the theoretical value of turbine work, and taking the turbine inlet total heat as a combustor outlet total heat; S204, calculating a compressor outlet flow based on the theoretical value of the turbine exhaust flue gas flow and a fuel quantity iteration value, and obtaining a compressor outlet total heat based on the compressor outlet flow, the compressor outlet pressure and outlet temperature, and taking the compressor outlet total heat as a combustor inlet total heat; S205, calculating a total heat released by fuel combustion based on the combustor outlet total heat and the combustor inlet total heat, and combining heat carried by the fuel itself through a combustor combustion process calculation model; S206, determining a first fuel consumption calculation value based on the total heat released by fuel combustion and the fuel heat value.

4. The method of claim 3, wherein, After S206, the method further comprises: S207, correcting the change of the gas working medium composition and the thermophysical property data based on the combustor combustion process calculation model, calculating compressor work consumption based on a compressor model, correcting the theoretical value of turbine work in combination with the gas turbine power generation power, and further correcting the combustor outlet total heat; repeating the iteration calculation process of S201 to S207 until the first fuel consumption calculation value converges to obtain a fuel consumption calculation convergence value as the fuel consumption calculation value.

5. The method of claim 3, wherein, The method further comprises: calculating the change of the gas working medium composition and the thermophysical property data based on atmospheric composition data entering the combustor, fuel composition data, thermophysical property equations of each mixture working medium, and a proportion of the preliminarily estimated inlet air flow and fuel consumption.

6. The method of claim 1, wherein, the comparison of the fuel consumption calculation value with the fuel consumption measurement value of the fuel flow measuring instrument to obtain the deviation result, and the correction of the fuel consumption measurement value according to the deviation result comprises: performing data filtering algorithm processing on raw data of the fuel consumption measurement value of the fuel flow measurement instrument; comparing the fuel consumption calculation value with the fuel consumption measurement value after data filtering algorithm processing to obtain a deviation result, and correcting the fuel consumption measurement value according to the deviation result.

7. The method of claim 1, wherein, The method further comprises: determining a precision calibration result of the fuel flow measurement instrument according to the deviation result; and / or determining a precision change of the fuel flow measurement instrument based on the deviation result and a historical change trend of the deviation result.

8. A device for correcting operation data of a combustion engine power plant, characterized in that comprises: a data acquisition module configured to acquire real-time operation data of a gas turbine of a gas turbine power station; a verification calculation module configured to perform mass balance and energy balance verification calculation on the gas turbine according to the real-time operation data to obtain a fuel consumption calculation value; a comparison and correction module configured to compare the fuel consumption calculation value with a fuel consumption measurement value of a fuel flow measurement instrument to obtain a deviation result, and correct the fuel consumption measurement value according to the deviation result.

9. A computer device, comprising: comprises a processor and a memory, the memory storing a program or instructions running on the processor, and the program or instructions, when executed by the processor, implement the steps of the gas turbine power station operation data correction method according to any one of claims 1 to 7.

10. A readable storage medium, on which a program or instructions are stored, characterized in that, The program or instructions, when executed by the processor, implement the steps of the gas turbine power station operation data correction method according to any one of claims 1 to 7.

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