Gas turbine performance correction method and device based on fuel components
By constructing a fuel component correction function, decoupling key parameters, and obtaining target parameter values, the accuracy and versatility of gas turbine performance correction are solved, and efficient performance evaluation is achieved under different working conditions.
Patent Information
- Application Number
- CN202510362877.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-26
- Publication Date
- 2025-07-08
AI Technical Summary
In the prior art, the gas turbine performance correction method fails to effectively consider the coupling effect of multiple factors of fuel components, resulting in inaccurate correction and insufficient versatility, especially the differences under different loads and ambient temperatures are not fully considered.
By constructing a correction function based on fuel components, key parameters such as low-position calorific value, carbon-hydrogen ratio, nitrogen content and carbon dioxide content are decoupled, target parameter values are obtained, and performance parameters are corrected using sub-correction functions to consider the coupling impact of different environmental and load conditions.
It improves the accuracy and efficiency of performance correction of gas turbines, is suitable for performance assessments in different working conditions, and is widely applicable.
Smart Images
Figure CN120273824A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of gas turbines, and particularly relates to a method and device for correcting the performance of a gas turbine based on fuel components. Background Art
[0002] The operation of a gas turbine is comprehensively affected by various factors such as load, atmospheric environment, rotational speed / frequency, inlet and exhaust pressure losses, fuel temperature, and fuel components. Therefore, there are differences between the actual operating performance of the gas turbine and the performance under design conditions. When evaluating the performance of a gas turbine, it is often necessary to correct the actual operating performance of the gas turbine to the design conditions / performance guarantee conditions.
[0003] Among them, the influence of fuel component correction involves many variables and they are coupled with each other. For example, the same carbon-hydrogen ratio (C / H) can correspond to multiple fuel composition combinations, and the same lower heating value (Low Heating Value, abbreviated as LHV) can correspond to multiple carbon-hydrogen ratios. At the same time, the contents of nitrogen N2 and carbon dioxide CO2 will affect the lower heating value LHV, etc. In related technologies, the method for correcting the performance of a gas turbine based on fuel components often performs specific calculations through local fuel components, or performs simplified corrections considering some factors, with poor generality and without considering the influence differences under different operating conditions such as different loads and different ambient temperatures. Therefore, how to accurately and efficiently correct the performance of a gas turbine based on fuel components has become an urgent problem to be solved. Summary of the Invention
[0004] This application aims to solve at least one of the technical problems in the related technologies to some extent.
[0005] According to a first aspect of the present application, there is provided a method for correcting the performance of a gas turbine based on fuel components, including: obtaining the performance parameter to be corrected of the gas turbine, and obtaining the actual measured value of the performance parameter; obtaining the key parameters affecting the performance parameter, constructing a correction function for correcting the performance parameter according to the key parameters, decoupling the correction function to obtain sub-correction functions; obtaining the target parameter value for correcting the actual measured value of the performance parameter; and correcting the actual measured value of the performance parameter according to the sub-correction functions and the target parameter value to obtain the target value of the performance parameter.
[0006] According to a second aspect of the present application, there is provided a gas turbine performance correction device based on fuel components, including: a first acquisition module, configured to acquire the performance parameters to be corrected of the gas turbine and acquire the actual measured values of the performance parameters; a second acquisition module, configured to acquire the key parameters affecting the performance parameters, construct a correction function for correcting the performance parameters according to the key parameters, and decouple the correction function to obtain sub-correction functions; a third acquisition module, configured to acquire the target parameter values for correcting the actual measured values of the performance parameters; and a correction module, configured to correct the actual measured values of the performance parameters according to the sub-correction functions and the target parameter values to obtain the target values of the performance parameters.
[0007] The technical solutions provided in the embodiments of the present application at least include the following beneficial effects:
[0008] The present application provides a method for correcting the performance of a gas turbine based on fuel components. By correcting the actual measured values of the performance parameters according to the sub-correction functions and the target parameter values, the accuracy and efficiency of correcting the performance of the gas turbine are improved, and it has wide applicability. By acquiring the target values of the performance parameters of the gas turbine, the performance evaluation of different working conditions of the gas turbine can be carried out.
[0009] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0010] The drawings are used to better understand the solution and do not constitute a limitation to the present application. Among them:
[0011] Figure 1 is a schematic flow chart of a method for correcting the performance of a gas turbine based on fuel components provided by an embodiment of the present application;
[0012] Figure 2 is a schematic diagram of the influence curve of the lower calorific value and power at a fixed carbon-hydrogen ratio provided by an embodiment of the present application;
[0013] Figure 3 is a schematic diagram of the influence curve of the lower calorific value and power at a fixed nitrogen content value and a fixed carbon dioxide content value provided by an embodiment of the present application;
[0014] Figure 4 is a schematic flow chart of another method for correcting the performance of a gas turbine based on fuel components provided by an embodiment of the present application;
[0015] Figure 5 is a schematic structural diagram of a gas turbine performance correction device based on fuel components provided by an embodiment of the present application. Specific Embodiments
[0016] The following describes exemplary embodiments of the present application with reference to the accompanying drawings. Various details of the embodiments of the present application are included to facilitate understanding, and they should be considered merely exemplary. Therefore, those of ordinary skill in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, descriptions of well-known functions and structures are omitted below for clarity and conciseness.
[0017] Hereinafter, embodiments are used to describe in detail the gas turbine performance correction method based on fuel components of the present application.
[0018] Figure 1 It is a schematic flowchart of the gas turbine performance correction method based on fuel components provided by the embodiments of the present application.
[0019] As Figure 1 shown, the gas turbine performance correction method based on fuel components proposed in this embodiment specifically includes the following steps:
[0020] S101. Obtain the performance parameters to be corrected of the gas turbine, and obtain the actual measured values of the performance parameters.
[0021] It should be noted that the present disclosure does not limit the performance parameters to be corrected of the gas turbine.
[0022] Optionally, the performance parameters to be corrected of the gas turbine can be one or more of the following: power, efficiency, exhaust gas temperature, exhaust gas flow rate.
[0023] Among them, power refers to the work done by the gas turbine per unit time.
[0024] Among them, efficiency refers to the ratio of the chemical energy in the fuel converted into mechanical energy or electrical energy by the gas turbine.
[0025] Among them, the exhaust gas temperature refers to the temperature of the exhaust gas discharged after the gas turbine combustion.
[0026] Among them, the exhaust gas flow rate refers to the amount of exhaust gas discharged after the gas turbine combustion.
[0027] In the embodiments of the present disclosure, after obtaining the performance parameters to be corrected, the performance parameters can be measured under actual measurement conditions to obtain the actual measured values of the performance parameters.
[0028] For example, if the performance parameter to be corrected of the gas turbine is power, the power is measured under actual measurement conditions to obtain the actual measured value P of the power meas .
[0029] S102. Obtain the key parameters that affect the performance parameters. According to the key parameters, construct a correction function for correcting the performance parameters, and decouple the correction function to obtain sub-correction functions.
[0030] It should be noted that the present disclosure does not limit the key parameters that affect the performance parameters.
[0031] Optionally, the key parameters that affect the performance parameters at least include the lower heating value LHV, the carbon-hydrogen ratio (C / H), the nitrogen N2 content value, and the carbon dioxide CO2 content value.
[0032] It should be noted that from the perspective of analyzing the impact on the performance of the gas turbine, the change of fuel components can be characterized by the lower heating value LHV, the carbon-hydrogen ratio (C / H), the nitrogen N2 content value, and the carbon dioxide CO2 content value. Among them, the nitrogen content value and the carbon dioxide content value only affect the lower heating value LHV, but do not affect the carbon-hydrogen ratio (C / H), and the carbon-hydrogen ratio and the lower heating value are coupled with each other.
[0033] In the embodiment of the present disclosure, after obtaining the key parameters, multiple groups of key parameters and actual measured values of the performance parameters can be used for fitting to construct a correction function for correcting the performance parameters.
[0034] For example, if the key parameters are the lower heating value LHV, the carbon-hydrogen ratio (C / H), the nitrogen N2 content value, and the carbon dioxide CO2 content value, the correction function can be:
[0035] In the embodiment of the present disclosure, after obtaining the correction function, analyze the key parameters in the correction function, determine the combination of key parameters with a coupling relationship, and decouple the correction function according to the combination of key parameters to obtain sub-correction functions.
[0036] S103. Obtain the target parameter value for correcting the actual measured value of the performance parameter.
[0037] Among them, the target parameter value can be determined based on the performance requirements or optimization objectives of the gas turbine.
[0038] It should be noted that the present disclosure does not limit the target parameter value.
[0039] Optionally, the target parameter value at least includes the target lower heating value LHV0, the target carbon-hydrogen ratio (C / H0), the target nitrogen N2 content value, and the target carbon dioxide CO2 content value.
[0040] S104. According to the sub-correction function and the target parameter value, correct the actual measured value of the performance parameter to obtain the target value of the performance parameter.
[0041] In an embodiment of the present disclosure, after obtaining the sub-correction function and the target parameter value, the actual measured value of the performance parameter can be corrected according to the sub-correction function and the target parameter value to obtain the target value of the performance parameter.
[0042] Optionally, based on each target parameter value and the corresponding sub-correction function, the sub-correction coefficient corresponding to each target parameter value can be obtained, and based on the sub-correction coefficient corresponding to each target parameter value, the correction coefficient for correcting the actual measured value can be obtained.
[0043] The gas turbine performance correction method based on fuel components provided in this application obtains the performance parameter to be corrected of the gas turbine, obtains the actual measured value of the performance parameter, obtains the key parameters affecting the performance parameter, constructs a correction function for correcting the performance parameter according to the key parameters, decouples the correction function to obtain a sub-correction function, obtains the target parameter value for correcting the actual measured value of the performance parameter, corrects the actual measured value of the performance parameter according to the sub-correction function and the target parameter value to obtain the target value of the performance parameter, and corrects the actual measured value of the performance parameter according to the sub-correction function and the target parameter value, improving the accuracy and efficiency of correcting the performance of the gas turbine, having wide applicability, and through obtaining the target value of the performance parameter of the gas turbine, the performance evaluation of different working conditions of the gas turbine can be carried out.
[0044] Figure 2 It is a schematic flow chart of the gas turbine performance correction method based on fuel components provided in an embodiment of this application.
[0045] As Figure 2 shown, the gas turbine performance correction method based on fuel components proposed in this embodiment specifically includes the following steps:
[0046] S201. Obtain the performance parameter to be corrected of the gas turbine and obtain the actual measured value of the performance parameter.
[0047] S202. Obtain the key parameters affecting the performance parameter and construct a correction function for correcting the performance parameter according to the key parameters.
[0048] This step S201 - S202 can be implemented by any implementation method in the embodiments of this application, and will not be elaborated here.
[0049] S203. Analyze the key parameters in the correction function to determine the combination of key parameters with a coupling relationship.
[0050] For example, if the performance parameter is power, as Figure 3As shown, by equally spacing several values of carbon-hydrogen ratio C / H within the range of carbon-hydrogen ratio C / H, and then keeping the selected values of carbon-hydrogen ratio C / H unchanged respectively, the influence of the lower heating value LHV on power is calculated. Through Figure 3 the curves in
[0051] the following main conclusions can be drawn: (1) Under different carbon-hydrogen ratios C / H, the influence trend of the lower heating value LHV on the power of the gas turbine is basically the same; (2) Since the values of carbon-hydrogen ratio C / H are selected at equal intervals, under the same lower heating value LHV, the influence of carbon-hydrogen ratio C / H on the power of the gas turbine is linearly correlated with the difference of carbon-hydrogen ratio (C / H). Optionally, by further analyzing the main performance parameters such as efficiency, exhaust gas temperature, and exhaust gas flow rate, the above conclusions can also be obtained.
[0052] S204. Decouple the correction function according to the key parameter combination to obtain sub-correction functions.
[0053] In the embodiment of the present disclosure, under the premise of maintaining relatively high accuracy, the carbon-hydrogen ratio C / H and the lower heating value LHV can be decoupled, that is, only the influence trend curves of 2 lower heating values (LHV) on the power of the gas turbine at the boundary values (maximum value and minimum value) of the fuel carbon-hydrogen ratio (C / H) need to be calculated, and the data covering all working conditions of carbon-hydrogen ratio (C / H) and lower heating value (LHV) can be obtained, that is the sub-correction function f(LHV) and the sub-correction function are obtained through decoupling and order reduction
[0054] For example, if the performance parameter is power, as Figure 4 shown, the fuel composition does not contain nitrogen N2 and carbon dioxide CO2 corresponding to the reference condition (NA). The nitrogen N2 content value and the carbon dioxide CO2 content value only affect the lower heating value LHV and do not affect the carbon-hydrogen ratio C / H. By keeping the fuel lower heating value (LHV) unchanged and equally spacing the nitrogen N2 content value and the carbon dioxide CO2 content value, through Figure 4 the curves in
[0055] the following main conclusions can be drawn: (1) The influence of the nitrogen N2 content value in the fuel composition on the power of the gas turbine is basically linearly correlated with the nitrogen N2 content value; (2) The influence of the carbon dioxide CO2 content value in the fuel composition on the power of the gas turbine is basically linearly correlated with the carbon dioxide CO2 content value.
[0056] In the embodiment of the present disclosure, by the correction function Decoupling and order reduction can be performed to obtain the sub-correction function f(LHV), the sub-correction function sub-correction function f(N2) and sub-correction function f(CO2).
[0057] It should be noted that since the gas turbine operation control strategies often vary under different environmental conditions (especially different environmental temperatures) and different load conditions, to achieve a relatively high-accuracy fuel component correction, the coupled effects of fuel components with environmental temperature and relative load must be considered.
[0058] In the embodiment of the present disclosure, the actual environmental temperature value and the actual relative load value of the gas turbine under actual measurement conditions can be obtained, the influence curve corresponding to the lower calorific value under the characteristic environmental temperature and the relative value of the characteristic load can be obtained, and interpolation is performed on the influence curve corresponding to the lower calorific value to obtain the sub-correction function corresponding to the lower calorific value under the actual environmental temperature value and the actual relative load value.
[0059] In the embodiment of the present disclosure, the influence curve corresponding to the hydrogen-carbon ratio under the characteristic environmental temperature and the relative value of the characteristic load is obtained, and interpolation is performed on the influence curve corresponding to the hydrogen-carbon ratio to obtain the sub-correction function corresponding to the hydrogen-carbon ratio value under the actual environmental temperature value and the actual relative load value.
[0060] Optionally, the influence curve corresponding to the lower calorific value under the characteristic environmental temperature and the relative value of the characteristic load and the influence curve corresponding to the lower calorific value under the characteristic environmental temperature and the relative value of the characteristic load can be obtained, and by means of interpolation, the sub-correction function corresponding to the lower calorific value under the actual environmental temperature value and the actual relative load value and the sub-correction function corresponding to the hydrogen-carbon ratio value under the actual environmental temperature value and the actual relative load value can be obtained.
[0061] Optionally, the ratio between the actual power of the gas turbine and the full-load power can be obtained to obtain the actual relative load value.
[0062] It should be noted that the full-load power P can be determined according to the following formula baseload :
[0063] P baseload = P baseload_ref ×f(p amb , T amb , RH amb , n speed ,…)
[0064] Wherein, P baseload is the full-load power, P baseload_ref is the reference power, p amb is the actual environmental pressure value, T amb is the actual environmental temperature value, RH ambis the relative humidity value of the actual environment, n speed is the actual rotational speed value of the gas turbine.
[0065] In the embodiment of the present application, by increasing the environmental temperature value T amb_meas and the actual relative load value P relative , the final correction function can be By decoupling and reducing the order of the final correction function, the sub-correction function corresponding to the lower heating value f(LHV, T amb_meas , P relative ), the sub-correction function corresponding to the carbon-hydrogen ratio the sub-correction function f(CO2) corresponding to the carbon dioxide CO2 value and the sub-correction function f(N2) corresponding to the nitrogen content value N2 can be obtained.
[0066] S205. Obtain the target parameter value for correcting the actual measurement value of the performance parameter.
[0067] This step S25 can be implemented by any implementation manner in the embodiments of the present application, and will not be elaborated here.
[0068] S206. Obtain the correction coefficient for correcting the actual measurement value according to the target parameter value and the sub-correction function.
[0069] In the embodiment of the present disclosure, based on each target parameter value, obtain the sub-correction coefficient determined by each sub-correction function, and according to the sub-correction coefficient determined by each sub-correction function, obtain the correction coefficient for correcting the actual measurement value.
[0070] Optionally, for the target lower heating value LHV0, substitute LHV0, T amb_meas and P relative into the sub-correction function f(LHV, T amb_meas , P relative ), to obtain the sub-correction coefficient f(LHV0, T amb_meas , P relative ).
[0071] Optionally, for the target carbon-hydrogen ratio C / H0, obtain the absolute value ΔC / H0 of the difference between the target carbon-hydrogen ratio C / H0 and the actual carbon-hydrogen ratio C / H, and substitute ΔC / H0, LHV0, T amb_meas and P relative into the sub-correction function to obtain the sub-correction coefficient f(LHV0, ΔC / H0, T amb_meas , P relative ).
[0072] Optionally, for the target nitrogen N2 content value, the target nitrogen N2 content value can be set to 0, substitute N2 = 0 into the sub-correction function f(N2), and obtain the sub-correction coefficient f(N2 = 0).
[0073] Optionally, for the target carbon dioxide CO2 content value, the target carbon dioxide CO2 content value can be set to 0, substitute CO2 = 0 into the sub-correction function f(CO2), and obtain the sub-correction coefficient f(CO2 = 0).
[0074] Optionally, after obtaining the sub-correction coefficient corresponding to each target parameter value, the sub-correction coefficients can be summed, and the sum value is used as the correction coefficient for correcting the actual measurement value.
[0075] S207. Based on the correction coefficient, correct the actual measurement value to obtain the target value of the performance parameter.
[0076] In the embodiments of the present disclosure, after obtaining the correction coefficient, the actual measurement value can be corrected based on the correction coefficient to obtain the target value of the performance parameter.
[0077] For example, if the performance parameter is power, the actual measurement value can be corrected through the following formula to obtain the target value of the performance parameter:
[0078] P corr = P meas ×[f(LHV0, T amb_meas , P relative ) + f(LHV0, ΔC / H0, T amb_meas , P relative )
[0079] + f(N2 = 0) + f(CO2 = 0)]
[0080] Wherein, P meas is the actual measurement value of power, and P corr is the target value of power.
[0081] In summary, the gas turbine performance correction method based on fuel components provided by the present application obtains the performance parameters to be corrected of the gas turbine, obtains the actual measured values of the performance parameters, obtains the key parameters affecting the performance parameters, constructs a correction function for correcting the performance parameters according to the key parameters, analyzes the key parameters in the correction function, determines the combination of key parameters with a coupling relationship, decouples the correction function according to the combination of key parameters to obtain sub-correction functions, obtains the target parameter values for correcting the actual measured values of the performance parameters, obtains the correction coefficients for correcting the actual measured values according to the target parameter values and the sub-correction functions, and corrects the actual measured values based on the correction coefficients to obtain the target values of the performance parameters. Thus, the gas turbine performance correction method based on fuel components provided by the present disclosure covers the key parameters from the perspective of affecting gas turbine performance, including the lower calorific value, carbon-hydrogen ratio, nitrogen content value, and carbon dioxide content value, and considers the coupling relationship between the above key parameters, decouples using the idea of engineering simplification, realizes the order reduction and simplification of the correction function, and at the same time considers the coupling of the gas turbine under different environmental conditions and load conditions, realizes the correction for any working condition within the allowable operating environmental temperature range, fuel range, and load range of the gas turbine, and is applicable to the correction of performance parameters such as the power, efficiency, exhaust gas temperature, and exhaust gas flow rate of the gas turbine, and has a certain generality.
[0082] To implement the above embodiments, the present embodiment provides a gas turbine performance correction device based on fuel components. Figure 5 It is a schematic structural diagram of a gas turbine performance correction device based on fuel components provided by an embodiment of the present application.
[0083] As Figure 5 shown, the gas turbine performance correction device 1000 based on fuel components includes: a first acquisition module 110, a second acquisition module 120, a third acquisition module 130, and a correction module 140.
[0084] The first acquisition module 110 is configured to acquire the performance parameters to be corrected of the gas turbine and acquire the actual measured values of the performance parameters;
[0085] The second acquisition module 120 is configured to acquire the key parameters affecting the performance parameters, construct a correction function for correcting the performance parameters according to the key parameters, and decouple the correction function to obtain sub-correction functions;
[0086] The third acquisition module 130 is configured to acquire the target parameter values for correcting the actual measured values of the performance parameters;
[0087] A correction module 140 is configured to correct the actual measured value of the performance parameter according to the sub-correction function and the target parameter value to obtain the target value of the performance parameter.
[0088] In one embodiment of the present application, the performance parameter is one or more of the following: power, efficiency, flue gas temperature, flue gas flow rate; the key parameters at least include: lower calorific value, carbon-hydrogen ratio, nitrogen content value, and carbon dioxide content value; the target parameter values at least include: target lower calorific value, target carbon-hydrogen ratio, target nitrogen content value, and target carbon dioxide content value.
[0089] In one embodiment of the present application, the second acquisition module 120 is further configured to: analyze the key parameters in the correction function to determine a combination of key parameters with a coupling relationship; decouple the correction function according to the combination of key parameters to obtain the sub-correction function.
[0090] In one embodiment of the present application, the device 1000 is further configured to: acquire the actual ambient temperature value and the actual relative load value of the gas turbine under actual measurement conditions; acquire the influence curve of the lower calorific value corresponding to the characteristic ambient temperature and the characteristic relative value; interpolate the influence curve corresponding to the lower calorific value to obtain the sub-correction function corresponding to the lower calorific value under the actual ambient temperature value and the actual relative load value.
[0091] In one embodiment of the present application, the device 1000 is further configured to: acquire the influence curve of the carbon-hydrogen ratio corresponding to the characteristic ambient temperature and the characteristic relative value; interpolate the influence curve corresponding to the carbon-hydrogen ratio to obtain the sub-correction function corresponding to the carbon-hydrogen ratio value under the actual ambient temperature value and the actual relative load value.
[0092] In one embodiment of the present application, the correction module 140 is further configured to: obtain a correction coefficient for correcting the actual measured value according to the target parameter value and the sub-correction function; correct the actual measured value based on the correction coefficient to obtain the target value of the performance parameter.
[0093] In one embodiment of the present application, the correction module 140 is further configured to: obtain a sub-correction coefficient determined by each sub-correction function based on each target parameter value; obtain the correction coefficient for correcting the actual measured value according to the sub-correction coefficient determined by each sub-correction function.
[0094] The gas turbine performance correction device based on fuel components provided by the present application, and the gas turbine performance correction method based on fuel components provided by the present application. By obtaining the performance parameters to be corrected of the gas turbine, obtaining the actual measured values of the performance parameters, obtaining the key parameters affecting the performance parameters, constructing a correction function for correcting the performance parameters according to the key parameters, decoupling the correction function to obtain sub-correction functions, obtaining the target parameter values for correcting the actual measured values of the performance parameters, correcting the actual measured values of the performance parameters according to the sub-correction functions and the target parameter values to obtain the target values of the performance parameters, and correcting the actual measured values of the performance parameters according to the sub-correction functions and the target parameter values, the accuracy and efficiency of correcting the gas turbine performance are improved, and it has wide applicability. By obtaining the target values of the performance parameters of the gas turbine, the performance evaluation of different operating conditions of the gas turbine can be carried out.
[0095] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present application can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and no limitation is made herein.
[0096] The above specific embodiments do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.
Claims
1. A gas turbine performance correction method based on fuel components, characterized in that, The method includes: Obtaining the performance parameters of the gas turbine to be corrected, and obtaining the actual measured values of the performance parameters; Obtaining the key parameters affecting the performance parameters, constructing a correction function for correcting the performance parameters according to the key parameters, and decoupling the correction function to obtain sub-correction functions; Obtaining the target parameter values for correcting the actual measured values of the performance parameters; Correcting the actual measured values of the performance parameters according to the sub-correction functions and the target parameter values to obtain the target values of the performance parameters.
2. The method according to claim 1, characterized in that, The performance parameters are one or more of the following: power, efficiency, exhaust gas temperature, exhaust gas flow rate; The key parameters at least include: lower calorific value, hydrocarbon ratio, nitrogen content value, and carbon dioxide content value; the target parameter values at least include: target lower calorific value, target hydrocarbon ratio, target nitrogen content value, and target carbon dioxide content value.
3. The method according to claim 2, wherein The decoupling of the correction function to obtain sub-correction functions includes: Analyzing the key parameters in the correction function to determine the combinations of key parameters with coupling relationships; Decoupling the correction function according to the combinations of key parameters to obtain the sub-correction functions.
4. The method according to claim 3, wherein The method further includes: Obtaining the actual ambient temperature value and the actual relative load value of the gas turbine under the actual measurement conditions; Obtaining the influence curve of the lower calorific value corresponding to the characteristic ambient temperature and the characteristic relative value; Interpolating the influence curve corresponding to the lower calorific value to obtain the sub-correction function corresponding to the lower calorific value under the actual ambient temperature value and the actual relative load value.
5. The method according to claim 4, wherein The method further includes: Obtaining the influence curve of the hydrocarbon ratio corresponding to the characteristic ambient temperature and the characteristic relative value; Interpolating the influence curve corresponding to the hydrocarbon ratio to obtain the sub-correction function corresponding to the hydrocarbon ratio value under the actual ambient temperature value and the actual relative load value.
6. The method according to any one of claims 1 to 5, characterized in that The correcting the actual measured values of the performance parameters according to the sub-correction functions and the target parameter values to obtain the target values of the performance parameters includes: Obtaining a correction coefficient for correcting the actual measured values according to the target parameter values and the sub-correction functions; Correcting the actual measured values based on the correction coefficient to obtain the target values of the performance parameters.
7. The method according to claim 6, wherein The obtaining a correction coefficient for correcting the actual measured values according to the target parameter values and the sub-correction functions includes: Based on each target parameter value, obtaining sub-correction coefficients determined by each sub-correction function; Obtaining the correction coefficient for correcting the actual measured values according to the sub-correction coefficients determined by each sub-correction function.
8. A gas turbine performance correction device based on fuel components, characterized in that, The device includes: A first obtaining module, configured to obtain the performance parameters of the gas turbine to be corrected, and obtain the actual measured values of the performance parameters; A second obtaining module, configured to obtain the key parameters affecting the performance parameters, construct a correction function for correcting the performance parameters according to the key parameters, and decouple the correction function to obtain sub-correction functions; A third acquisition module, configured to acquire a target parameter value for correcting an actual measured value of the performance parameter; A correction module, configured to correct the actual measured value of the performance parameter according to the sub-correction function and the target parameter value to obtain a target value of the performance parameter.
9. An electronic device, comprising: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the method according to any one of claims 1-7.