Method for estimating power of gas turbine

Abstract

The invention relates to the field of gas turbine power estimation, in particular to a gas turbine power estimation method, which comprises the following steps: acquiring environmental parameters, and drawing a performance curve under a standard working condition; the outlet pressure, actually measured on site, of the third high-pressure compressor is corrected to the standard atmospheric condition, and the outlet pressure of the fourth high-pressure compressor under the standard working condition is obtained; querying query output power corresponding to the outlet pressure of the fourth standard high-pressure compressor from the performance curve; and taking the query output power as a standard working condition power value corresponding to the outlet pressure of the fourth high-pressure compressor. According to the method, model construction and empirical coefficient optimization are carried out by collecting data of all effective working conditions in a full-load interval, so that the estimation method can comprehensively cover the complete operation state of the gas turbine from the lowest stable load to the rated load, and power estimation requirements under different working conditions are met; and adaptation limitation caused by local working condition data in a traditional method is avoided.

Description

Technical Field

[0001] This invention relates to the field of gas turbine power estimation, and more specifically to a method for estimating gas turbine power. Background Technology

[0002] As a core piece of equipment in the energy and power sector, the accurate estimation of the output power of gas turbines is crucial for equipment operation monitoring, maintenance decisions, and performance optimization. In practical applications, the operating environment of gas turbines is complex and variable, and dynamic fluctuations in parameters such as ambient temperature and atmospheric pressure can directly interfere with the accuracy of power measurement and estimation.

[0003] Traditional power estimation methods have significant limitations: some methods rely on large and complex field testing equipment, which involves cumbersome procedures and high testing costs, making it difficult to meet the needs of routine, low-cost power monitoring; some methods do not systematically correct environmental parameters or only use a single fixed empirical coefficient for curve fitting, resulting in performance curves that cannot truly reflect the inherent thermodynamic characteristics of gas turbines and leading to large estimation errors; at the same time, the selection of traditional empirical coefficients lacks scientific optimization logic and relies heavily on manual judgment, making it difficult to adapt to different operating conditions across the entire load range, and when measured parameters exceed the range of performance curve values, commonly used extrapolation methods lack rationality, further limiting the applicability of estimation methods.

[0004] Furthermore, the selection of existing fitting models does not incorporate multivariate statistical analysis, and the fitting effect is difficult to cover the complete operating state of the gas turbine from the minimum stable load to the rated load, which cannot meet the core requirements of power estimation accuracy and reliability in engineering practice. Summary of the Invention

[0005] This invention addresses the technical problems existing in the prior art by providing a method for estimating the power of a gas turbine.

[0006] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A method for estimating the power of a gas turbine, comprising the following steps: The method includes the following specific steps: S101. Measure the outlet pressure of the first high-pressure compressor under factory test based on the test bench, and measure the output power of the first gas turbine under factory test based on the hydraulic dynamometer, and obtain environmental parameters. S102. Correct the outlet pressure of the first high-pressure compressor and the output power of the first gas turbine under the factory test to the standard atmospheric conditions, obtain the outlet pressure of the second high-pressure compressor and the output power of the second gas turbine under the standard operating conditions, and plot the performance curve under the standard operating conditions. S103. The outlet pressure of the third high-pressure compressor measured on site is corrected to standard atmospheric conditions to obtain the outlet pressure of the fourth high-pressure compressor under standard operating conditions. S104. Take the performance curves under the standard operating conditions that have been drawn, and according to the outlet pressure of the fourth standard high-pressure compressor, find the output power corresponding to the outlet pressure of the fourth standard high-pressure compressor from the performance curves. S105. Use the output power as the standard operating power value corresponding to the outlet pressure of the fourth high-pressure compressor.

[0007] In a preferred embodiment, the environmental parameters in S101 include ambient temperature and atmospheric pressure. By using a multi-point acquisition and averaging method, no less than three environmental parameter measurement points are evenly arranged on the test bench to obtain the temperature and atmospheric pressure, and the average value is taken to obtain the ambient temperature and atmospheric pressure. The output power of the first gas turbine and the outlet pressure of the first high-pressure compressor are obtained through the sensor array deployed at the outlet of the high-pressure compressor and the built-in sensor array of the cement dynamometer.

[0008] In a preferred embodiment, after obtaining environmental parameters, the output power of the first gas turbine, and the outlet pressure of the first high-pressure compressor, step S102 calculates the temperature correction coefficient based on the gas turbine thermodynamic cycle theory and the ideal gas law, and calculates the pressure correction coefficient based on the proportional relationship between the intake air density and atmospheric pressure.

[0009] In a preferred embodiment, S102 further includes: The product of the obtained pressure correction coefficient and the outlet pressure of the first high-pressure compressor is used as a correction to obtain the outlet pressure of the second high-pressure compressor under standard operating conditions. The output power of the second gas turbine under standard operating conditions is obtained by multiplying the obtained temperature correction factor, pressure correction factor, and the output power of the first gas turbine.

[0010] In a preferred embodiment, before plotting the performance curve under standard operating conditions, the method further includes repeating steps S101 and S102, including: Collect the output power of the first gas turbine and the outlet pressure of the first high-pressure compressor under all effective operating conditions within the full load range, and give different empirical coefficients for each group of effective operating conditions. Calculate the pressure correction coefficient, temperature correction coefficient, outlet pressure of the second high-pressure compressor, and output power of the second gas turbine for each group of effective operating conditions. The least squares method was used to fit the output power of the second gas turbine and the outlet pressure of the second high-pressure compressor under each effective operating condition, and the fitting determination coefficient under each effective operating condition was calculated. The final empirical coefficient is selected as the coefficient of determination that maximizes the average value of the coefficient of determination for all effective working conditions and minimizes the coefficient of variation of the coefficient of determination for each group. Using the outlet pressure of the second high-pressure compressor as the abscissa and the output power of the second gas turbine as the ordinate, the optimal fitting model is selected based on multivariate statistical analysis to establish the performance curve under standard operating conditions.

[0011] In a preferred embodiment, S102 further includes: Based on the gas turbine thermodynamic cycle theory and the general characteristics of the compressor, the value of n is determined to be in the range of 0.8-1.5. Within the range of 0.8-1.5, different candidate empirical coefficients are randomly given for each effective operating condition. A candidate set of empirical coefficient values ​​is constructed according to the principle of equal step size, forming 171 consecutive candidate empirical coefficient values. For each candidate empirical coefficient value, based on the gas turbine thermodynamic cycle theory and the ideal gas law, the temperature correction coefficient and pressure correction coefficient for each effective operating condition of each candidate empirical coefficient are calculated. The product of the pressure correction coefficient and the outlet pressure of the first high-pressure compressor is used as the correction to obtain the outlet pressure of the second high-pressure compressor for each operating condition of each candidate empirical coefficient. The product of the obtained temperature correction coefficient, pressure correction coefficient and the output power of the first gas turbine is used to obtain the output power of the second gas turbine for each operating condition of each candidate empirical coefficient. The output power of the second gas turbine under each effective operating condition for each candidate empirical coefficient is extracted. Based on the fitting model, the outlet pressure of the second high-pressure compressor is substituted to calculate the predicted power value. The predicted power value of each effective operating condition is summed using the statistical averaging method to obtain the total predicted power value. The arithmetic mean, total sum of squares, and residual sum of squares are calculated to obtain the regression sum of squares. The fitting determination coefficient of each candidate empirical coefficient under each effective operating condition is calculated using the general definition formula. Calculate the arithmetic mean of the fitting coefficients of determination for each candidate empirical coefficient under each effective working condition, and calculate the coefficient of variation of the coefficient of determination for each candidate empirical coefficient under each effective working condition. The candidate empirical coefficient with the smallest coefficient of variation of the fitting coefficient of determination and the largest fitting coefficient of determination arithmetic mean is selected as the optimal empirical coefficient.

[0012] In a preferred embodiment, step S103 uses the temperature correction coefficient, pressure correction coefficient, and optimal empirical coefficient used in step S102 to calculate the field temperature correction coefficient and field pressure correction coefficient, and obtains the fourth high-pressure compressor outlet pressure under standard operating conditions based on the field measured outlet pressure of the third high-pressure compressor.

[0013] In a preferred embodiment, when the outlet pressure of the fourth high-pressure compressor under standard operating conditions exceeds the range of the performance curve, the following setting is also included: The linear extrapolation method is used for calculation. The difference between the outlet pressure of the fourth high-pressure compressor and the outlet pressure of the first high-pressure compressor is multiplied by the slope of the performance curve at the outlet pressure of the first high-pressure compressor. The sum of the product and the outlet pressure of the first high-pressure compressor is the output power to be queried.

[0014] When the outlet pressure of the fourth high-pressure compressor under standard operating conditions is less than the range of the performance curve, the linear extrapolation method is used for calculation. The difference between the outlet pressure of the first high-pressure compressor and the outlet pressure of the fourth high-pressure compressor is multiplied by the slope of the performance curve at the outlet pressure of the first high-pressure compressor. The sum of the product and the outlet pressure of the first high-pressure compressor is the output power to be queried.

[0015] The beneficial effects of this invention are: by collecting data from all effective operating conditions within the full load range for model construction and empirical coefficient optimization, the estimation method can comprehensively cover the complete operating state of the gas turbine from the minimum stable load to the rated load, adapt to the power estimation needs under different operating conditions, and avoid the adaptation limitations caused by local operating condition data in traditional methods.

[0016] By acquiring environmental parameters through multi-point averaging, random errors at single measurement points are effectively reduced. Temperature and pressure correction coefficients are calculated based on the gas turbine thermodynamic cycle theory and the ideal gas law, which systematically eliminates the interference of environmental parameter fluctuations on the estimation results. The optimal fitting model is selected by combining least squares fitting and multivariate statistical analysis. At the same time, the performance curve is accurately matched to the inherent characteristics of the gas turbine by constructing an empirical coefficient candidate set and screening with dual indicators, which greatly reduces the power estimation error. Attached Figure Description

[0017] Figure 1 This is a flowchart of the present invention; Figure 2 This is a flowchart illustrating the process when the empirical coefficient of the present invention is 1 / 2. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] This embodiment provides a method for estimating the power of a gas turbine, comprising the following steps: The method includes the following specific steps: S101. Measure the outlet pressure of the first high-pressure compressor under factory test based on the test bench, and measure the output power of the first gas turbine under factory test based on the hydraulic dynamometer, and obtain environmental parameters. S102. Correct the outlet pressure of the first high-pressure compressor and the output power of the first gas turbine under the factory test to the standard atmospheric conditions, obtain the outlet pressure of the second high-pressure compressor and the output power of the second gas turbine under the standard operating conditions, and plot the performance curve under the standard operating conditions. S103. The outlet pressure of the third high-pressure compressor measured on site is corrected to standard atmospheric conditions to obtain the outlet pressure of the fourth high-pressure compressor under standard operating conditions. S104. Take the performance curves under the standard operating conditions that have been drawn, and according to the outlet pressure of the fourth standard high-pressure compressor, find the output power corresponding to the outlet pressure of the fourth standard high-pressure compressor from the performance curves. S105. Use the output power as the standard operating power value corresponding to the outlet pressure of the fourth high-pressure compressor.

[0020] The environmental parameters in S101 include ambient temperature and atmospheric pressure. By using a multi-point acquisition and averaging method, no less than three environmental parameter measurement points are evenly arranged on the test bench to obtain the temperature and atmospheric pressure, and the average value is taken to obtain the ambient temperature and atmospheric pressure. The output power of the first gas turbine and the outlet pressure of the first high-pressure compressor are obtained through the sensor array deployed at the outlet of the high-pressure compressor and the built-in sensor array of the cement dynamometer.

[0021] After obtaining environmental parameters, the output power of the first gas turbine, and the outlet pressure of the first high-pressure compressor, S102 calculates the temperature correction coefficient based on the gas turbine thermodynamic cycle theory and the ideal gas law, and calculates the pressure correction coefficient based on the proportional relationship between the intake air density and atmospheric pressure.

[0022] S102 further includes: The product of the obtained pressure correction coefficient and the outlet pressure of the first high-pressure compressor is used as a correction to obtain the outlet pressure of the second high-pressure compressor under standard operating conditions. The output power of the second gas turbine under standard operating conditions is obtained by multiplying the obtained temperature correction factor, pressure correction factor, and the output power of the first gas turbine.

[0023] Before plotting the performance curve under standard operating conditions, the method further includes repeating steps S101 and S102, including: Collect the output power of the first gas turbine and the outlet pressure of the first high-pressure compressor under all effective operating conditions within the full load range, and give different empirical coefficients for each group of effective operating conditions. Calculate the pressure correction coefficient, temperature correction coefficient, outlet pressure of the second high-pressure compressor, and output power of the second gas turbine for each group of effective operating conditions. The least squares method was used to fit the output power of the second gas turbine and the outlet pressure of the second high-pressure compressor under each effective operating condition, and the fitting determination coefficient under each effective operating condition was calculated. The final empirical coefficient is selected as the coefficient of determination that maximizes the average value of the coefficient of determination for all effective working conditions and minimizes the coefficient of variation of the coefficient of determination for each group. Using the outlet pressure of the second high-pressure compressor as the abscissa and the output power of the second gas turbine as the ordinate, the optimal fitting model is selected based on multivariate statistical analysis to establish the performance curve under standard operating conditions.

[0024] Collecting the first gas turbine output power and the first high-pressure compressor outlet pressure under all effective operating conditions across the entire load range is based on the requirement for full-condition coverage of the gas turbine's thermodynamic characteristics. Only by covering complete data from the minimum stable load to the rated load can we ensure that the empirical coefficients are suitable for all operating states of the unit and avoid the limitations of coefficients caused by local operating condition data. Giving different empirical coefficients for each set of effective operating conditions is essentially a universal extension verification.

[0025] The subsequent calculations of pressure correction coefficient, temperature correction coefficient, outlet pressure of the second high-pressure compressor, and output power of the second gas turbine are based on the core principle of uniformly correcting the original test data under different ambient temperatures and atmospheric pressures to standard operating conditions, eliminating the interference of environmental parameter fluctuations on performance parameters, and ensuring that the corrected parameters can truly reflect the inherent characteristics of the gas turbine.

[0026] S102 further includes: Based on the gas turbine thermodynamic cycle theory and the general characteristics of the compressor, the value of n is determined to be in the range of 0.3-1.0. Within the range of 0.3-1.0, different candidate empirical coefficients are randomly given for each effective operating condition. A candidate set of empirical coefficient values ​​is constructed according to the principle of equal step size, forming 171 consecutive candidate empirical coefficient values. For each candidate empirical coefficient value, based on the gas turbine thermodynamic cycle theory and the ideal gas law, the temperature correction coefficient and pressure correction coefficient for each candidate empirical coefficient under each effective operating condition are calculated. The product of the pressure correction coefficient and the outlet pressure of the first high-pressure compressor is used as the correction to obtain the outlet pressure of the second high-pressure compressor under each operating condition for each candidate empirical coefficient. The product of the obtained temperature correction coefficient, pressure correction coefficient and the output power of the first gas turbine is used to obtain the output power of the second gas turbine under each operating condition for each candidate empirical coefficient. The output power of the second gas turbine under each effective operating condition for each candidate empirical coefficient is extracted. Based on the fitting model, the outlet pressure of the second high-pressure compressor is substituted to calculate the predicted power value. The predicted power value of each effective operating condition is summed using the statistical averaging method to obtain the total predicted power value. The arithmetic mean, total sum of squares, and residual sum of squares are calculated to obtain the regression sum of squares. The fitting determination coefficient of each candidate empirical coefficient under each effective operating condition is calculated using the general definition formula. Calculate the arithmetic mean of the fitting coefficients of determination for each candidate empirical coefficient under each effective working condition, and calculate the coefficient of variation of the coefficient of determination for each candidate empirical coefficient under each effective working condition. The candidate empirical coefficient with the smallest coefficient of variation of the fitting coefficient of determination and the largest fitting coefficient of determination arithmetic mean is selected as the optimal empirical coefficient.

[0027] Furthermore, an empirical coefficient candidate set is constructed according to the principle of equal step size and randomly assigned to each group of effective operating conditions. The core principle is to avoid adaptation deviations caused by a single fixed coefficient through continuous and comprehensive value coverage. The calculation of the temperature correction coefficient strictly follows the gas turbine thermodynamic cycle theory and the ideal gas law. Its essence is to quantify the impact of ambient temperature deviating from the standard value on the gas turbine power. The pressure correction coefficient is based on the linear influence of atmospheric pressure on the compressor intake density. Together, they constitute the core logic of parameter standardization.

[0028] Multiplying the pressure correction factor by the outlet pressure of the first high-pressure compressor and the temperature and pressure correction factors by the output power of the first gas turbine essentially removes the interference of fluctuations in ambient temperature and atmospheric pressure, and maps the original test data uniformly to standard operating conditions. The resulting outlet pressure of the second high-pressure compressor and the output power of the second gas turbine truly reflect the inherent parameter relationships determined by the gas turbine's own structure and thermodynamic cycle characteristics.

[0029] The output power of the second gas turbine corresponding to each candidate empirical coefficient is extracted. The outlet pressure of the second high-pressure compressor is then substituted into the fitting model to obtain the predicted power value. The core principle is to quantify the inherent quantitative relationship between the two through the model. The statistical averaging method is used to calculate the sum and arithmetic mean of the predicted power values ​​to reduce the impact of random noise from a single set of data on the calculation results, ensuring the reliability of subsequent sum of squares calculations. The calculation of the total sum of squares aims to characterize the total dispersion of the actual output power of the second gas turbine. The residual sum of squares quantifies the prediction bias of the fitting model, while the regression sum of squares reflects the explanatory power of the fitting curve for the dispersion of the actual data. The logical connection among these three provides a statistical basis for the calculation of the coefficient of determination. The coefficient of determination for each operating condition is calculated according to the general definition formula. Essentially, this is to evaluate the accuracy of the fitting model corresponding to the candidate empirical coefficients through quantitative indicators, providing an objective and quantifiable basis for subsequent coefficient selection, which meets the document's requirements for data validity and fitting accuracy.

[0030] S103 uses the temperature correction coefficient, pressure correction coefficient, and optimal empirical coefficient used in S102 to calculate the on-site temperature correction coefficient and on-site pressure correction coefficient, and obtains the fourth high-pressure compressor outlet pressure under standard operating conditions based on the on-site measured outlet pressure of the third high-pressure compressor.

[0031] When the outlet pressure of the fourth high-pressure compressor under standard operating conditions exceeds the range of the performance curve, the following settings are also included: The linear extrapolation method is used for calculation. The difference between the outlet pressure of the fourth high-pressure compressor and the outlet pressure of the first high-pressure compressor is multiplied by the slope of the performance curve at the outlet pressure of the first high-pressure compressor. The sum of the product and the outlet pressure of the first high-pressure compressor is the output power to be queried.

[0032] When the outlet pressure of the fourth high-pressure compressor under standard operating conditions is less than the range of the performance curve, the linear extrapolation method is used for calculation. The difference between the outlet pressure of the first high-pressure compressor and the outlet pressure of the fourth high-pressure compressor is multiplied by the slope of the performance curve at the outlet pressure of the first high-pressure compressor. The sum of the product and the outlet pressure of the first high-pressure compressor is the output power to be queried.

[0033] In some specific implementations, the optimal empirical coefficient is set to 0.5. The following detailed explanation of the gas turbine power estimation steps uses an optimal empirical coefficient of 0.5 as an example: Step 1: Using the gas turbine factory test parameters, obtain the high-pressure compressor outlet pressure P under the ambient temperature and atmospheric pressure during the gas turbine test. 02 With gas turbine power Ne a1 ; Step 2: Based on the ambient temperature T during the experiment a Atmospheric pressure P a Calculate the correction factor , .

[0034] The specific parameters are based on the gas turbine thermodynamic cycle theory and the ideal gas law, and are as follows: 1) Temperature correction factor 2) Pressure correction factor Step 3: Test the outlet pressure P of the high-pressure compressor. 02 High-pressure compressor outlet pressure correction value P 02a : ; Power correction value Ne during the test a2 : ; Redraw Ne a2 With P 02a The curves and relationships.

[0035] Step 4: Based on the ambient temperature and atmospheric pressure during the operation of the gas turbine, determine the high-pressure compressor pressure P during operation. 02b， Calculate the correction factor at this time. , The correction value P of the high-pressure compressor on site was obtained. 02c : ; Step 5: Using the performance curve from Step 3, calculate P by referring to the curve or fitting formula. 02c The corresponding power Ne c。

[0036] Step 6: Estimate the actual power of the gas turbine as Ne d : .

Claims

1. A method for estimating the power of a gas turbine, characterized in that, The method includes the following specific steps: S101. Measure the outlet pressure of the first high-pressure compressor under factory test based on the test bench, and measure the output power of the first gas turbine under factory test based on the hydraulic dynamometer, and obtain environmental parameters. S102. Correct the outlet pressure of the first high-pressure compressor and the output power of the first gas turbine under the factory test to the standard atmospheric conditions, obtain the outlet pressure of the second high-pressure compressor and the output power of the second gas turbine under the standard operating conditions, and plot the performance curve under the standard operating conditions. S103. The outlet pressure of the third high-pressure compressor measured on site is corrected to standard atmospheric conditions to obtain the outlet pressure of the fourth high-pressure compressor under standard operating conditions. S104. Take the performance curves under the standard operating conditions that have been drawn, and according to the outlet pressure of the fourth standard high-pressure compressor, find the output power corresponding to the outlet pressure of the fourth standard high-pressure compressor from the performance curves. S105. Use the output power as the standard operating power value corresponding to the outlet pressure of the fourth high-pressure compressor.

2. The method for estimating the power of a gas turbine according to claim 1, characterized in that, The environmental parameters in S101 include ambient temperature and atmospheric pressure. The temperature and atmospheric pressure are obtained by means of a multi-point acquisition and averaging method, with no less than three environmental parameter measurement points evenly arranged on the test bench. The average value is then taken to obtain the ambient temperature and atmospheric pressure. The output power of the first gas turbine and the outlet pressure of the first high-pressure compressor are obtained through the sensor array deployed at the outlet of the high-pressure compressor and the built-in sensor array of the cement dynamometer.

3. The method for estimating the power of a gas turbine according to claim 2, characterized in that, After obtaining environmental parameters, the output power of the first gas turbine, and the outlet pressure of the first high-pressure compressor, S102 calculates the temperature correction coefficient based on the gas turbine thermodynamic cycle theory and the ideal gas law, and calculates the pressure correction coefficient based on the proportional relationship between the intake air density and atmospheric pressure.

4. The method for estimating the power of a gas turbine according to claim 3, characterized in that, S102 further includes: The product of the obtained pressure correction coefficient and the outlet pressure of the first high-pressure compressor is used as a correction to obtain the outlet pressure of the second high-pressure compressor under standard operating conditions. The output power of the second gas turbine under standard operating conditions is obtained by multiplying the obtained temperature correction factor, pressure correction factor, and the output power of the first gas turbine.

5. The method for estimating the power of a gas turbine according to claim 1, characterized in that, Before plotting the performance curve under standard operating conditions, the method further includes repeating steps S101 and S102, including: Collect the output power of the first gas turbine and the outlet pressure of the first high-pressure compressor under all effective operating conditions within the full load range, and give different empirical coefficients for each group of effective operating conditions. Calculate the pressure correction coefficient, temperature correction coefficient, outlet pressure of the second high-pressure compressor, and output power of the second gas turbine for each group of effective operating conditions. The least squares method was used to fit the output power of the second gas turbine and the outlet pressure of the second high-pressure compressor under each effective operating condition, and the fitting determination coefficient under each effective operating condition was calculated. The final empirical coefficient is selected as the coefficient of determination that maximizes the average value of the coefficient of determination for all effective working conditions and minimizes the coefficient of variation of the coefficient of determination for each group. Using the outlet pressure of the second high-pressure compressor as the abscissa and the output power of the second gas turbine as the ordinate, the optimal fitting model is selected based on multivariate statistical analysis to establish the performance curve under standard operating conditions.

6. The method for estimating the power of a gas turbine according to claim 5, characterized in that, S102 further includes: Given different candidate empirical coefficients for each effective operating condition, construct a candidate set of empirical coefficient values ​​according to the principle of equal step size to form continuous candidate empirical coefficient values. Based on the gas turbine thermodynamic cycle theory and the ideal gas law, calculate the temperature correction coefficient and pressure correction coefficient for each candidate empirical coefficient under each effective operating condition. Use the product of the pressure correction coefficient and the outlet pressure of the first high-pressure compressor as the correction to obtain the outlet pressure of the second high-pressure compressor under each operating condition for each candidate empirical coefficient. And use the product of the obtained temperature correction coefficient, pressure correction coefficient and the output power of the first gas turbine to obtain the output power of the second gas turbine under each operating condition for each candidate empirical coefficient. The output power of the second gas turbine under each effective operating condition for each candidate empirical coefficient is extracted. Based on the fitting model, the outlet pressure of the second high-pressure compressor is substituted to calculate the predicted power value. The predicted power value of each effective operating condition is summed using the statistical averaging method to obtain the total predicted power value. The arithmetic mean, total sum of squares, and residual sum of squares are calculated to obtain the regression sum of squares. The fitting determination coefficient of each candidate empirical coefficient under each effective operating condition is calculated using the general definition formula. Calculate the arithmetic mean of the fitting coefficients of determination for each candidate empirical coefficient under each effective working condition, and calculate the coefficient of variation of the coefficient of determination for each candidate empirical coefficient under each effective working condition. The candidate empirical coefficient with the smallest coefficient of variation of the fitting coefficient of determination and the largest fitting coefficient of determination arithmetic mean is selected as the optimal empirical coefficient.

7. The method for estimating the power of a gas turbine according to claim 6, characterized in that, S103 uses the temperature correction coefficient, pressure correction coefficient, and optimal empirical coefficient used in S102 to calculate the on-site temperature correction coefficient and on-site pressure correction coefficient, and obtains the fourth high-pressure compressor outlet pressure under standard operating conditions based on the on-site measured outlet pressure of the third high-pressure compressor.

8. The method for estimating the power of a gas turbine according to claim 1, characterized in that, When the outlet pressure of the fourth high-pressure compressor under standard operating conditions exceeds the range of the performance curve, the following settings are also included: The linear extrapolation method is used for calculation. The difference between the outlet pressure of the fourth high-pressure compressor and the outlet pressure of the first high-pressure compressor is multiplied by the slope of the performance curve at the outlet pressure of the first high-pressure compressor. The sum of the product and the outlet pressure of the first high-pressure compressor is the output power to be queried. When the outlet pressure of the fourth high-pressure compressor under standard operating conditions is less than the range of the performance curve, the linear extrapolation method is used for calculation. The difference between the outlet pressure of the first high-pressure compressor and the outlet pressure of the fourth high-pressure compressor is multiplied by the slope of the performance curve at the outlet pressure of the first high-pressure compressor. The sum of the product and the outlet pressure of the first high-pressure compressor is the output power to be queried.

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