A method for judging the performance of a gas turbine TCA cooler based on historical data analysis

Abstract

The present invention discloses a method for judging the performance of a TCA cooler based on historical data analysis, including: obtaining and screening the historical data of gas turbine unit parameters to obtain data samples under normal operating conditions; performing correlation analysis on the data samples to obtain parameter correlation results; dividing the data samples into intervals according to the gas turbine load to obtain the minimum value of the inlet water flow of the TCA cooler in each interval; combining the designed value of the inlet water flow of the TCA cooler with its actual operating characteristics to obtain the minimum value of the inlet water flow of the TCA cooler under different gas turbine loads; and judging the performance of the TCA cooler according to the deviation between the real-time value and the minimum value of the inlet water flow of the TCA cooler. The present invention can monitor the change of the inlet water flow of the TCA cooler under different gas turbine load conditions, so as to judge the quality of the performance of the TCA cooler; and can give an alarm in time when the inlet water flow of the TCA cooler is abnormal, avoiding the turbine rotor and moving blades from working under the over-temperature state for a long time and reducing the service life of the turbine rotor and moving blades.

Description

Technical Field

[0001] The present invention relates to the technical field of gas turbine performance analysis, and particularly to a method for judging the performance of a TCA cooler of a gas turbine based on historical data analysis. Background Art

[0002] When a gas turbine operates normally, the turbine rotor and the turbine blades exposed to high-temperature gas must be cooled by turbine cooling air. The cooling air is extracted from the compressor air extraction port, cooled by the TCA cooler, and then sent to the front of the turbine rotor and blades. The TCA system is the turbine cooling air system. The performance of the TCA cooler of a gas turbine becomes an important basis for judging the working life of the turbine rotor and the moving blades in a high-temperature environment.

[0003] At present, the way for on-site operation and maintenance personnel to judge the performance of the TCA cooler is mainly to judge the performance of the TCA cooler based on the opening feedback of the inlet water temperature control valve of the TCA cooler in the TCS system and the design values provided by the TCA cooler manufacturer for the inlet water flow of the TCA cooler. However, due to the variable load and the influence of multiple parameter variables when the gas turbine unit participates in power grid peak shaving, the TCA cooler often deviates from the design working condition. At the same time, after the gas turbine unit has been operating for a long time, the design values of the original parameters will also shift, making it difficult to judge the performance of the TCA cooler and resulting in many false alarms in the TCS system. Summary of the Invention

[0004] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title, but such simplifications or omissions shall not be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that it is difficult to judge the performance of the TCA cooler and there are many false alarms in the TCS system when the TCA cooler deviates from the design working condition or when the design values of the original parameters shift after the gas turbine unit has been operating for a long time.

[0007] To solve the above technical problem, the present invention provides the following technical solution: A method for judging the performance of a TCA cooler of a gas turbine based on historical data analysis, including: obtaining and screening the historical data of the gas turbine unit parameters to obtain data samples under normal working conditions;

[0008] Performing a correlation analysis based on the data samples to obtain a strong correlation between the inlet water flow of the TCA cooler and the gas turbine load;

[0009] Divide the data samples according to the gas turbine load to obtain the minimum value of the inlet water flow of the TCA cooler in each interval;

[0010] Combine the designed value of the inlet water flow of the TCA cooler with its actual operating characteristics to obtain the minimum value of the inlet water flow of the TCA cooler under different gas turbine loads;

[0011] Judge the performance of the TCA cooler according to the deviation between the real-time value and the minimum value of the inlet water flow of the TCA cooler.

[0012] As a preferred scheme of the method for judging the performance of the gas turbine TCA cooler based on historical data analysis according to the present invention, wherein: the historical data of the gas turbine unit parameters includes:

[0013] The historical data of the gas turbine load, the inlet water pressure of the TCA cooler, the inlet water flow of the TCA cooler, the status of the TCA shut-off valve A, the status of the TCA shut-off valve B, the valve position of the TCA return water flow control valve on the HRSG side, the status of the TCA return water flow control valve on the COND side, and the TCA return water pressure on the HRSG side for a period of time.

[0014] As a preferred scheme of the method for judging the performance of the gas turbine TCA cooler based on historical data analysis according to the present invention, wherein: the obtaining of the data sample D under normal conditions includes:

[0015] Eliminate the data during the unit shutdown according to the gas turbine load;

[0016] According to the status of the TCA shut-off valve A and the TCA shut-off valve B, eliminate the data with the TCA inlet shut-off valve not opened and the inlet water flow of the TCA cooler being 0;

[0017] Eliminate the special condition data of the TCA cooling water returning to the condenser side according to the status of the TCA return water flow control valve on the COND side, and only retain the data of the TCA cooling water all returning to the boiler high-pressure steam drum;

[0018] Eliminate the data abnormal due to data acquisition reasons.

[0019] As a preferred scheme of the method for judging the performance of the gas turbine TCA cooler based on historical data analysis according to the present invention, wherein: the correlation analysis includes:

[0020] Based on the data sample D, the correlation between the gas turbine load, the inlet pressure of the TCA cooler, the return water pressure of the TCA on the HRSG side, the valve position of the TCA return water flow control valve on the HRSG side, and the inlet flow rate of the TCA cooler is analyzed. The analysis results show that there is a strong correlation between the inlet flow rate of the TCA cooler and the gas turbine load, the inlet pressure of the TCA cooler, the return water pressure of the TCA on the HRSG side, and the valve position of the TCA return water flow control valve on the HRSG side, with the correlation degrees being 0.9246, 0.9101, 0.8797, and 0.8195 respectively. Based on the correlation degree data, it can be known that the correlation between the inlet flow rate of the TCA cooler and the gas turbine load is the strongest.

[0021] As a preferred embodiment of the gas turbine TCA cooler performance judgment method based on historical data analysis of the present invention, wherein: the interval division of the data sample includes:

[0022] Based on the correlation analysis results, taking the gas turbine load with the highest correlation degree with the inlet flow rate of the TCA cooler as the benchmark, the data sample D is sorted in ascending order to obtain the sample Ds; and the gas turbine load in the sample Ds is divided into intervals.

[0023] As a preferred embodiment of the gas turbine TCA cooler performance judgment method based on historical data analysis of the present invention, wherein: the interval division of the gas turbine load in the sample Ds includes:

[0024] Starting from the minimum value of the gas turbine load, each interval has a size of 1 MW and is divided into intervals I 1 、I 2 …I n ; wherein, when dividing the intervals, if the size of the interval where the maximum value of the gas turbine load is located < 1 MW, then the actual size of the interval where the maximum value of the gas turbine load is located shall prevail.

[0025] As a preferred embodiment of the gas turbine TCA cooler performance judgment method based on historical data analysis of the present invention, wherein: obtaining the minimum value of the inlet flow rate of the TCA cooler in each interval includes:

[0026] In the interval I k , sort in ascending order according to the inlet flow rate of the TCA cooler, where 1 ≤ k ≤ n;

[0027] Screen the data of each interval after ascending sorting, and eliminate the data that does not conform to the changes in the inlet pressure of the TCA cooler, the return water pressure on the HRSG side of the TCA, and the valve position of the TCA return water flow control valve on the HRSG side to obtain the intervals I 1 ', I 2 ', …, I n ';

[0028] In the interval Ik Obtain the minimum value of the inlet water flow of the TCA cooler within.

[0029] As a preferred embodiment of the method for judging the performance of the gas turbine TCA cooler based on historical data analysis according to the present invention, wherein: the obtaining of the minimum value of the inlet water flow of the TCA cooler under different gas turbine loads includes:

[0030] Combined with the designed value of the inlet water flow of the TCA cooler provided by the equipment manufacturer and the actual operating characteristics of the TCA cooler, re-divide the gas turbine load into intervals.

[0031] As a preferred embodiment of the method for judging the performance of the gas turbine TCA cooler based on historical data analysis according to the present invention, wherein: the obtaining of the minimum value of the inlet water flow of the TCA cooler under different gas turbine loads further includes:

[0032] Calculate the minimum value of the inlet water flow of the TCA cooler within different gas turbine load intervals or the linear function relationship between the gas turbine load and the minimum value of the inlet water flow of the TCA cooler, so as to obtain the minimum value of the inlet water flow of the TCA cooler at different gas turbine loads.

[0033] As a preferred embodiment of the method for judging the performance of the gas turbine TCA cooler based on historical data analysis according to the present invention, wherein: the judging of the performance of the TCA cooler includes:

[0034] If the deviation δ < the preset value and lasts for the preset duration, the performance of the TCA cooler is abnormal;

[0035] Wherein, the deviation δ = the real-time value of the inlet water flow of the TCA cooler - the minimum value of the inlet water flow of the TCA cooler under the current gas turbine load.

[0036] The beneficial effects of the present invention: The present invention can monitor the change of the inlet water flow of the TCA cooler during the operation of the gas turbine in real time under different gas turbine load conditions, so as to judge the quality of the performance of the TCA cooler; it can timely remind the operator to make adjustments when the inlet water flow of the TCA cooler is abnormal, and avoid the turbine rotor and moving blades from working under the over-temperature state for a long time, thereby reducing the service life of the turbine rotor and moving blades. Description of the Drawings

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts. Among them:

[0038] Figure 1Schematic diagram of the basic process of a method for judging the performance of a gas turbine TCA cooler based on historical data analysis provided by an embodiment of the present invention;

[0039] Figure 2 Schematic diagram of a piecewise function of the minimum inlet water flow of the TCA cooler in different gas turbine load segments of a method for judging the performance of a gas turbine TCA cooler based on historical data analysis provided by an embodiment of the present invention;

[0040] Figure 3 Schematic diagram of the mechanism rule model of a method for judging the performance of a gas turbine TCA cooler based on historical data analysis provided by an embodiment of the present invention. Detailed implementation manners

[0041] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention with reference to the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0043] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude each other with other embodiments.

[0044] The present invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of the present invention, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general scale, and the schematic diagrams are only examples and should not limit the protection scope of the present invention here. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0045] Meanwhile, in the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper, lower, inner, and outer" is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0046] Unless otherwise clearly defined and limited in the present invention, the terms "installed, connected, and coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, and can also be indirectly connected through an intermediate medium, or can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] Embodiment 1

[0048] Referring to Figures 1 - 2 , an embodiment of the present invention provides a method for judging the performance of a gas turbine TCA cooler based on historical data analysis, including:

[0049] S1: Obtain and screen the historical data of the gas turbine unit parameters to obtain data samples under normal operating conditions;

[0050] It should be noted that in this embodiment, the historical data of the gas turbine unit parameters for a period of time is obtained through the data interface system of the gas turbine control system (TCS) or the plant-level monitoring information system (SIS system). The data distribution is shown in Table 1, and the data volume is greater than 100,000;

[0051] Table 1 Historical data distribution table

[0052]

[0053]

[0054] Furthermore, the relevant parameters involved in the historical data include: gas turbine load, TCA cooler inlet pressure, TCA cooler inlet flow rate, TCA shut-off valve A status, TCA shut-off valve B status, valve position of the TCA return water flow control valve (HRSG side), TCA return water flow control valve status (COND side), and TCA return water pressure (HRSG side).

[0055] Furthermore, screening the historical data includes:

[0056] First, eliminate the data during the unit shutdown period through the gas turbine load;

[0057] Then, based on the states of TCA shut-off valve A and TCA shut-off valve B, eliminate the data where the TCA inlet shut-off valve is not open and the TCA cooler inlet flow rate is 0.

[0058] Next, based on the state of the TCA return water flow control valve (COND side), eliminate the special operating condition data of the TCA cooling return water to the condenser side, and only retain the data where all the TCA cooling return water returns to the boiler high-pressure steam drum.

[0059] Finally, eliminate the abnormal data caused by data acquisition reasons such as measurement point drift, and finally obtain the data sample D under normal operating conditions.

[0060] S2: Conduct a correlation analysis based on the data sample to obtain a strong correlation between the TCA cooler inlet flow rate and the gas turbine load.

[0061] Furthermore, through data analysis means, analyze the correlation between the gas turbine load, the TCA cooler inlet pressure, the TCA return water pressure (HRSG side), the valve position of the TCA return water flow control valve (HRSG side), and the TCA cooler inlet flow rate based on the data sample D; the analysis results show that the TCA cooler inlet flow rate has correlations with the gas turbine load, the TCA cooler inlet pressure, the TCA return water pressure (HRSG side), and the valve position of the TCA return water flow control valve (HRSG side), and the correlation degrees are 0.9246, 0.9101, 0.8797, and 0.8195 respectively, as shown in Table 2.

[0062] Table 2 Analysis Results of Parameter Correlations

[0063]

[0064] As can be seen from the above table, the correlation between the TCA cooler inlet flow rate and the gas turbine load is the strongest.

[0065] It should be noted that since the states of TCA shut-off valve A and TCA shut-off valve B are digital signals, and the state of the TCA return water flow control valve (COND side) is normally closed, therefore, no correlation analysis of parameters is carried out.

[0066] S3: According to the gas turbine load, divide the data sample into intervals and obtain the minimum value of the TCA cooler inlet flow rate in each interval.

[0067] It should be noted that based on the correlation analysis results, it can be seen that the correlation between the TCA cooler inlet flow rate and the gas turbine load is the strongest. Therefore, the gas turbine load is selected as the benchmark to process the data sample D.

[0068] Furthermore, sort the data sample D in ascending order based on the gas turbine load to obtain the sample Ds.

[0069] Further, divide the gas turbine load in the sample Ds into intervals. Starting from the minimum gas turbine load, each interval has a size of 1 MW to obtain interval I 1 、I 2 …I n ;

[0070] It should be noted that when dividing the intervals, if the maximum gas turbine load falls within an interval less than 1 MW, the size of this interval shall be based on the actual size.

[0071] Further, within the interval I k (1 ≤ k ≤ n), sort in ascending order based on the inlet water flow rate of the TCA cooler; then screen the data sorted in ascending order for each interval to obtain interval I 1 '、I 2 '…I n ';

[0072] It should be noted that the re-screening of the data based on the inlet water flow rate of the TCA cooler is to eliminate the data that does not conform to the inlet pressure of the TCA cooler, the return water pressure of the TCA (HRSG side), and the valve position change of the TCA return water flow control valve (HRSG side).

[0073] Further, within the interval I k '(1 ≤ k ≤ n), find the minimum value of the inlet water flow rate of the TCA cooler;

[0074] It should be noted that within the interval I k '(1 ≤ k ≤ n), find the minimum value of the inlet water flow rate of the TCA cooler respectively, so as to obtain the minimum value of the inlet water flow rate of the TCA cooler in different gas turbine load segments.

[0075] S4: Combine the designed value of the inlet water flow rate of the TCA cooler with its actual operating characteristics to obtain the minimum value of the inlet water flow rate of the TCA cooler under different gas turbine loads;

[0076] Further, combine the designed value of the inlet water flow rate of the TCA cooler provided by the equipment manufacturer with the actual operating characteristics of the TCA cooler. Based on the principle of gas turbine load interval division by the manufacturer when the TCA cooler leaves the factory, re-divide the gas turbine load intervals, and perform a linear fitting on the minimum value of the inlet water flow rate of the TCA cooler in each interval to obtain the calculation method of the minimum value of the inlet water flow rate of the TCA cooler in different gas turbine load intervals, as shown in Table 3, and then obtain the minimum value of the inlet water flow rate of the TCA cooler at different gas turbine loads, as Figure 2 shown.

[0077] Table 3 Calculation method of the minimum value of the inlet water flow rate of the TCA cooler under different gas turbine load intervals

[0078] Gas turbine load range (MW) Minimum inlet flow rate of TCA cooler (t / h) s＝0～130 q＝35 s＝130～150 q = 0.1s + 22 s＝150～200 q = 0.16s + 13 s＝200～260 q = 0.283s - 11.667 s＝260～290 q = 0.1s + 36 s ≥ 290 q＝65

[0079] It should be noted that the re - division of the interval is combined with the actual on - site operation conditions and the principle of the manufacturer's division of the gas turbine load interval at the time of equipment factory delivery; in each interval of the gas turbine load divided by the manufacturer at the time of equipment factory delivery, there is a good first - order linear relationship between the inlet water flow of the TCA cooler and the gas turbine load. Therefore, the minimum value of the inlet water flow of the TCA cooler at different gas turbine loads can be obtained through the first - order linear relationship between the inlet water flow of the TCA cooler and the gas turbine load.

[0080] S5: Judge the performance of the TCA cooler according to the deviation between the real - time value and the minimum value of the inlet water flow of the TCA cooler;

[0081] It should be noted that the calculation formula for the deviation δ between the real - time value and the minimum value of the inlet water flow of the TCA cooler is: δ = real - time value of the inlet water flow of the TCA cooler - minimum value of the inlet water flow of the TCA cooler under the current gas turbine load.

[0082] Furthermore, when δ < the preset value and lasts for the preset duration, it indicates that the inlet water flow of the TCA cooler is abnormal, and then it is judged that the performance of the TCA cooler is abnormal.

[0083] It should be noted that in the present invention, by analyzing historical data, the relationship between the gas turbine load and the inlet water flow of the TCA cooler is found; the gas turbine load is divided into intervals to find the minimum value of the inlet water flow of the TCA cooler at different gas turbine loads, calculate the deviation between the real - time value and the minimum value of the inlet water flow of the TCA cooler, and judge whether there is an abnormality in the inlet water flow of the TCA cooler, so as to quickly judge whether there is an abnormality in the performance of the TCA cooler.

[0084] Embodiment 2

[0085] Refer to Figure 3 , which is an embodiment of the present invention, provides a verification test for the method of judging the performance of the gas turbine TCA cooler based on historical data analysis. To verify and explain the technical effects adopted in this method, in this embodiment, the method of monitoring the performance of the TCA cooler by the gas turbine TCS system is compared with the method of monitoring the performance of the TCA cooler of the present invention for a comparative test, and the experimental results are compared by means of scientific demonstration to verify the real effects of the present invention.

[0086] Regarding the judgment of the performance of the TCA cooler, in the TCS system, it mainly depends on the deviation between the real-time values of "the opening feedback of the water temperature control valve at the inlet of the TCA cooler" and "the water inlet flow of the TCA cooler" and the design values (provided by the manufacturer of the TCA cooler). However, when the gas turbine unit participates in the power grid peak shaving, due to the changing load and the influence of multiple parameter variables, the TCA cooler often deviates from the designed operating conditions; at the same time, after the gas turbine unit has been operating for a long time, there will also be a deviation in the design values of the original parameters, making it difficult to judge the performance of the TCA cooler and resulting in many false alarms in the TCS system.

[0087] The method of the present invention analyzes historical data to find the relationship between the gas turbine load and the water inlet flow of the TCA cooler, divides multiple gas turbine load segments, and considers setting the alarm limit values of the water inlet flow of the TCA cooler under different operating conditions.

[0088] It is found in on-site applications that the accuracy rate of the abnormal performance alarm of the TCA cooler based on the TCS system is much lower than that of the method of the present invention. Since the alarm limit values of the TCS system are fixed and the TCA cooler will be affected by the load and other factors during operation, the alarm limit values of the TCS system cannot match the actual application scenarios, thus failing to achieve the function of accurate alarm; while the method of the present invention can adjust the alarm limit values based on different operating conditions, which enables timely and accurate alarm when the water inlet flow of the TCA cooler is abnormal.

[0089] Through the application of the two methods in the real scenario, it is found that the alarm accuracy of this method is high and the false alarm rate is much lower than that of the TCS system; at the same time, it can detect the abnormal performance of the TCA cooler faster than the TCS system. Among them, the comparison data of the two methods are shown in Tables 4 and 5.

[0090] Table 4 Comparison of the application effects of the TCS system and this method

[0091]

[0092] Table 5 Comparison test data of the TCS system and this method

[0093] TCS system The method of the present invention Total number of tests 17 12 Number of correct alarms 11 12 Proportion of correct alarm times 64.7％ 100％ Number of false alarms 6 0 Proportion of false alarm times 35.3％ 0

[0094] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis, characterized in that, it includes: Obtain and screen the historical data of gas turbine unit parameters to obtain data samples under normal operating conditions; Conduct a correlation analysis based on the data samples to obtain a strong correlation between the inlet water flow of the TCA cooler and the gas turbine load; According to the gas turbine load, divide the data samples into intervals to obtain the minimum value of the inlet water flow of the TCA cooler in each interval; Combine the design value of the inlet water flow of the TCA cooler with its actual operating characteristics to obtain the minimum value of the inlet water flow of the TCA cooler under different gas turbine loads; Judge the performance of the TCA cooler according to the deviation between the real-time value and the minimum value of the inlet water flow of the TCA cooler; The obtaining of the minimum value of the inlet water flow of the TCA cooler under different gas turbine loads includes: Combine the design value of the inlet water flow of the TCA cooler provided by the equipment manufacturer and the actual operating characteristics of the TCA cooler to re-divide the gas turbine load into intervals; Calculate the minimum value of the inlet water flow of the TCA cooler in different gas turbine load intervals or the linear function relationship between the gas turbine load and the minimum value of the inlet water flow of the TCA cooler, so as to obtain the minimum value of the inlet water flow of the TCA cooler at different gas turbine loads.

2. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis according to claim 1, characterized in that: The historical data of the gas turbine unit parameters includes: Historical data of gas turbine load, inlet water pressure of TCA cooler, inlet water flow of TCA cooler, status of TCA shut-off valve A, status of TCA shut-off valve B, valve position of TCA return water flow control valve on the HRSG side, status of TCA return water flow control valve on the COND side, and TCA return water pressure on the HRSG side for a period of time.

3. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis according to claim 2, characterized in that, The obtaining of the data sample D under normal operating conditions includes: Eliminate the data during the unit shutdown period according to the gas turbine load; According to the status of TCA shut-off valve A and TCA shut-off valve B, eliminate the data with the TCA inlet shut-off valve not opened and the inlet water flow of the TCA cooler being 0; Eliminate the special operating condition data of the TCA cooling water returning to the condenser side according to the status of the TCA return water flow control valve on the COND side, and only retain the data with all the TCA cooling water returning to the boiler high-pressure steam drum; Eliminate the abnormal data caused by data acquisition reasons.

4. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis according to claim 1 or 3, characterized in that, The correlation analysis includes: Based on the data sample D, the correlations between the gas turbine load, the inlet pressure of the TCA cooler, the return water pressure of the TCA on the HRSG side, the valve position of the TCA return water flow control valve on the HRSG side, and the inlet flow rate of the TCA cooler are analyzed. The obtained analysis results show that there is a strong correlation between the inlet flow rate of the TCA cooler and the gas turbine load, the inlet pressure of the TCA cooler, the return water pressure of the TCA on the HRSG side, and the valve position of the TCA return water flow control valve on the HRSG side, with the correlation degrees being 0.9246, 0.9101, 0.8797, and 0.8195 respectively. Based on the correlation degree data, it can be known that the correlation between the inlet flow rate of the TCA cooler and the gas turbine load is the strongest.

5. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis as claimed in claim 4, characterized in that the interval division of the data sample includes: Based on the correlation analysis result, taking the gas turbine load with the highest correlation degree with the inlet flow rate of the TCA cooler as the benchmark, the data sample D is sorted in ascending order to obtain the sample Ds; and the gas turbine load in the sample Ds is divided into intervals.

6. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis as claimed in claim 5, characterized in that the division of the gas turbine load in the sample Ds into intervals includes: Starting from the minimum value of the gas turbine load, each interval has a size of 1 MW and is divided into Interval I 1 , I 2 …I n ; among them, when dividing the intervals, if the size of the interval where the maximum value of the gas turbine load is located < 1 MW, then the actual size of the interval where the maximum value of the gas turbine load is located shall prevail.

7. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis as claimed in claim 6, characterized in that obtaining the minimum value of the inlet flow rate of the TCA cooler in each interval includes: In the interval I k sort in ascending order according to the inlet water flow rate of the TCA cooler, where 1 ≤ k ≤ n; Screen the data of each interval after ascending order, and eliminate the data that do not conform to the changes in the inlet water pressure of the TCA cooler, the TCA return water pressure on the HRSG side, and the valve position of the TCA return water flow control valve on the HRSG side, to obtain Interval I 1 ', I 2 ', …, I n '; Within the interval I k ', obtain the minimum value of the inlet flow rate of the TCA cooler.

8. A method for judging the performance of a gas turbine TCA cooler based on historical data analysis as claimed in claim 7, characterized in that judging the performance of the TCA cooler includes: If the deviation δ < the preset value and lasts for the preset duration, the performance of the TCA cooler is abnormal; wherein, the deviation δ = the real-time value of the inlet flow rate of the TCA cooler - the minimum value of the inlet flow rate of the TCA cooler under the current gas turbine load.

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