Control method for improving thermal efficiency of steam turbine

Abstract

The invention relates to the technical field of steam turbines, and discloses a control method for improving the thermal efficiency of a steam turbine, which comprises the following steps: dividing a to-be-controlled steam turbine into a plurality of sub-data acquisition areas, and obtaining real-time operation data of each sub-data acquisition area; processing the real-time operation data to obtain a real-time operation data set, and calculating an operation data integration coefficient; dividing the operation data integration coefficient according to the coefficient mean value and the coefficient variance, and calculating a comprehensive operation data integration coefficient; analyzing the historical thermal efficiency change record, and calculating a historical thermal efficiency control fluctuation coefficient; setting a correction coefficient, and correcting the comprehensive operation data integration coefficient to obtain a target comprehensive operation data integration coefficient; the initial control parameters are regulated and controlled, control parameters are obtained, the steam turbine to be controlled is controlled, overall operation data of the steam turbine are analyzed, then intelligent control over the steam turbine is achieved, and the thermal efficiency control precision and control efficiency of the steam turbine are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of steam turbines, and in particular to a control method for improving the thermal efficiency of a steam turbine. Background Art

[0002] The thermal efficiency of a steam turbine refers to the ratio of the energy extracted from the fuel oil to the energy consumed by the steam turbine. The thermal efficiency determines the energy utilization and economy of the steam turbine. Improving the thermal efficiency of the steam turbine can not only effectively reduce energy consumption and environmental pollution, but also has important economic and social significance. By implementing efficient control methods, it is expected that energy consumption costs can be significantly reduced, greenhouse gas emissions can be reduced, and enterprises can better cope with more stringent environmental protection standards in the future.

[0003] With the continuous growth of global energy demand and increasingly stringent environmental protection requirements, how to effectively improve the performance of steam turbines has become an urgent problem to be solved. Traditional steam turbine control systems mainly rely on a single data feedback mechanism to adjust the operating state, such as regulating the steam turbine according to pressure and then regulating the steam turbine according to temperature. This method is difficult to adapt to complex and changing operating conditions, resulting in the inability to achieve optimal operating efficiency. Therefore, it is particularly important to develop an intelligent control system that can monitor and adjust operating parameters in real time to adapt to different operating conditions. Summary of the invention

[0004] The embodiment of the present invention provides a control method for improving the thermal efficiency of a steam turbine, so as to solve the technical problem in the prior art that the overall operating data of the steam turbine cannot be analyzed, and the steam turbine cannot be intelligently controlled according to the overall operating data, resulting in low control accuracy and control efficiency of the thermal efficiency of the steam turbine.

[0005] In order to achieve the above object, the present invention provides a control method for improving the thermal efficiency of a steam turbine, comprising: Determine a steam turbine to be controlled, divide the steam turbine to be controlled into a plurality of sub-data collection areas, mark each sub-data collection area, and obtain real-time operation data of each sub-data collection area in real time; Performing the same type of classification processing on the real-time operation data of each sub-data collection area to obtain multiple real-time operation data sets, and calculating the operation data integration coefficient corresponding to each real-time operation data set; Determining coefficient means and coefficient variances of all operation data integration coefficients, dividing all operation data integration coefficients based on the coefficient means and the coefficient variances, and calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled based on the division result; Acquiring a historical thermal efficiency change record of the steam turbine to be controlled, parsing the historical thermal efficiency change record, and calculating a historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the parsing result; A correction coefficient is set based on the historical thermal efficiency control fluctuation coefficient, and the comprehensive operation data integration coefficient is corrected based on the correction coefficient to obtain a target comprehensive operation data integration coefficient of the steam turbine to be controlled; Initial control parameters of the controlled steam turbine are collected, and the initial control parameters are adjusted according to the target comprehensive operation data integration coefficient to obtain control parameters, and the steam turbine to be controlled is controlled according to the control parameters, wherein the initial control parameters include steam temperature and turbine back pressure.

[0006] Furthermore, when the real-time operation data of each sub-data collection area are classified into the same type to obtain multiple real-time operation data sets, and the operation data integration coefficient corresponding to each real-time operation data set is calculated, it includes: Calculating the data mean of the real-time running data set; The operation data integration coefficient corresponding to each real-time operation data set is calculated according to the following formula: ; Among them, e is the operation data integration coefficient corresponding to the real-time operation data set, c1 is the first calculation coefficient, f is the data mean, n is the number of real-time operation data in the real-time operation data set, a i is the i-th real-time operation data in the real-time operation data set, c2 is the second calculation coefficient, b max For all (fa i ), b min For all (fa i ) is the minimum value among .

[0007] Further, when all the operation data integration coefficients are divided based on the coefficient mean and the coefficient variance, and the comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated based on the division result, it includes: Extracting all running data integration coefficients greater than or equal to the coefficient mean, and constructing a first integration coefficient set; Extracting all running data integration coefficients that are greater than or equal to the coefficient variance, and constructing a second integration coefficient set; Determine whether the first integration coefficient and the second integration coefficient have an intersection, and if so, repeatedly extract the intersection operation data integration coefficients, and non-repeatedly extract the remaining operation data integration coefficients; constructing a third integration coefficient set according to the extracted operation data integration coefficients; If not, performing non-repetitive extraction on the operation data integration coefficients corresponding to the first integration coefficient and the second integration coefficient; constructing a third integration coefficient set according to the extracted operation data integration coefficients; Calculating a second coefficient mean of the third integration coefficient set, and dividing all operation data integration coefficients in the third integration coefficient set that are less than the second coefficient mean into a fourth integration coefficient set; dividing all the operation data integration coefficients in the third integration coefficient set that are greater than or equal to the second coefficient mean into a fifth integration coefficient set; Performing curve fitting on the operation data integration coefficients in the fourth integration coefficient set to obtain a first integration coefficient fitting curve; Performing curve fitting on the operation data integration coefficients in the fifth integration coefficient set to obtain a second integration coefficient fitting curve; The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the first integration coefficient fitting curve and the second integration coefficient fitting curve.

[0008] Further, when calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled according to the first integration coefficient fitting curve and the second integration coefficient fitting curve, it includes: Determine the curve slope corresponding to each operation data integration coefficient on the first integration coefficient fitting curve, and extract the first maximum curve slope; Determining a maximum operation data integration coefficient and a minimum operation data integration coefficient on the first integration coefficient fitting curve, and calculating a coefficient difference between the maximum operation data integration coefficient and the minimum operation data integration coefficient; Calculating the product value between the first maximum curve slope and the coefficient difference and using it as the first sub-comprehensive operation data integration coefficient of the steam turbine to be controlled; Determine the curve slope corresponding to each operation data integration coefficient on the second integration coefficient fitting curve, and extract the second maximum curve slope; determining a second maximum operation data integration coefficient and a second minimum operation data integration coefficient on the second integration coefficient fitting curve, and calculating a second coefficient difference between the second maximum operation data integration coefficient and the second minimum operation data integration coefficient; Calculating a second product value between the slope of the second maximum curve and the second coefficient difference and using the second product value as a second sub-comprehensive operation data integration coefficient of the steam turbine to be controlled; The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the first sub-comprehensive operation data integration coefficient and the second sub-comprehensive operation data integration coefficient.

[0009] Further, when calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled according to the first sub-comprehensive operation data integration coefficient and the second sub-comprehensive operation data integration coefficient, it includes: The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the following formula: ; Among them, g is the comprehensive operation data integration coefficient of the steam turbine to be controlled, h1 is the first sub-comprehensive operation data integration coefficient, p1 is the weight corresponding to the first sub-comprehensive operation data integration coefficient, h2 is the second sub-comprehensive operation data integration coefficient, and p2 is the weight corresponding to the second sub-comprehensive operation data integration coefficient.

[0010] Further, when obtaining the historical thermal efficiency change record of the steam turbine to be controlled, parsing the historical thermal efficiency change record, and calculating the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the parsing result, it includes: Compare each historical thermal efficiency change record with a preset thermal efficiency, and if the historical thermal efficiency change record is less than the preset thermal efficiency, generate an abnormal thermal efficiency mark for the corresponding historical thermal efficiency change record; If the historical thermal efficiency change record is greater than or equal to the preset thermal efficiency, a stable thermal efficiency mark is generated for the corresponding historical thermal efficiency change record; Calculate the difference between each historical thermal efficiency change record generating an abnormal thermal efficiency mark and the historical thermal efficiency of the preset thermal efficiency; Counting the number of abnormal marks corresponding to the abnormal thermal efficiency mark, and counting the number of stable marks corresponding to the stable thermal efficiency mark; The historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled is calculated according to the historical thermal efficiency difference, the abnormal mark number and the stable mark number.

[0011] Further, when calculating the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled according to the historical thermal efficiency difference, the abnormal mark number and the stable mark number, it includes: The historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled is calculated according to the following formula: ; Among them, q is the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled, s1 is the third calculation coefficient, t1 is the number of abnormal marks, t2 is the number of stable marks, s2 is the fourth calculation coefficient, and w u is the ith historical thermal efficiency difference, w max is the maximum historical thermal efficiency difference.

[0012] Furthermore, when a correction coefficient is set based on the historical thermal efficiency control fluctuation coefficient, and the comprehensive operation data integration coefficient is corrected based on the correction coefficient to obtain a target comprehensive operation data integration coefficient of the steam turbine to be controlled, the method includes: Presetting a first preset historical thermal efficiency control fluctuation coefficient and a second preset historical thermal efficiency control fluctuation coefficient; Presetting a first preset correction coefficient, a second preset correction coefficient, and a third preset correction coefficient; When the historical thermal efficiency control fluctuation coefficient is less than the first preset historical thermal efficiency control fluctuation coefficient, the product value of the first preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled; When the historical thermal efficiency control fluctuation coefficient is greater than or equal to the first preset historical thermal efficiency control fluctuation coefficient and less than the second preset historical thermal efficiency control fluctuation coefficient, the product value of the second preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled; When the historical thermal efficiency control fluctuation coefficient is greater than or equal to the second preset historical thermal efficiency control fluctuation coefficient, the product value of the third preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled.

[0013] Furthermore, when collecting the initial control parameters of the steam turbine, and adjusting the initial control parameters according to the target comprehensive operation data integration coefficient to obtain the control parameters, it includes: Presetting a first preset target comprehensive operation data integration coefficient and a second preset target comprehensive operation data integration coefficient; Presetting a first preset ascending control parameter, a second preset ascending control parameter and a third preset ascending control parameter; Presetting a first preset descent control parameter, a second preset descent control parameter, and a third preset descent control parameter; When the target comprehensive operation data integration coefficient is less than the first preset target comprehensive operation data integration coefficient, the product value of the first preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the first preset falling control parameter and the steam turbine back pressure is calculated as the steam turbine back pressure control parameter; When the target comprehensive operation data integration coefficient is greater than or equal to the first preset target comprehensive operation data integration coefficient, and less than the second preset target comprehensive operation data integration coefficient, the product value of the second preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the second preset falling control parameter and the steam turbine back pressure is calculated as the steam turbine back pressure control parameter; When the target comprehensive operating data integration coefficient is greater than or equal to the second preset target comprehensive operating data integration coefficient, the product value of the third preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the third preset falling control parameter and the turbine back pressure is calculated as the turbine back pressure control parameter.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a control method for improving the thermal efficiency of a steam turbine. The method comprises the following steps: dividing a steam turbine to be controlled into a plurality of sub-data collection areas, acquiring real-time operation data of each sub-data collection area; processing the real-time operation data to obtain a real-time operation data set, and calculating an operation data integration coefficient; dividing the operation data integration coefficient according to a coefficient mean and a coefficient variance, and calculating a comprehensive operation data integration coefficient; analyzing historical thermal efficiency change records, and calculating a historical thermal efficiency control fluctuation coefficient; setting a correction coefficient, and correcting the comprehensive operation data integration coefficient, and obtaining a target comprehensive operation data integration coefficient; regulating initial control parameters, and obtaining control parameters, and controlling the steam turbine to be controlled, and realizing intelligent control of the steam turbine by analyzing the overall operation data of the steam turbine, thereby ensuring the control accuracy and control efficiency of the steam turbine thermal efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A schematic flow chart of a control method for improving the thermal efficiency of a steam turbine in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0016] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0017] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0019] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0021] like Figure 1 As shown, an embodiment of the present invention discloses a control method for improving the thermal efficiency of a steam turbine, comprising: S110: determining a steam turbine to be controlled, dividing the steam turbine to be controlled into a plurality of sub-data collection areas, marking each sub-data collection area, and acquiring real-time operation data of each sub-data collection area in real time; In this embodiment, the number of deployed sub-data collection areas is 20, which can be evenly deployed according to the volume of the steam turbine to be controlled.

[0022] In this embodiment, the real-time operation data includes current, voltage, temperature, flow, vibration frequency, etc.

[0023] S120: performing the same type of classification processing on the real-time operation data of each sub-data collection area to obtain multiple real-time operation data sets, and calculating the operation data integration coefficient corresponding to each real-time operation data set; In some embodiments of the present application, when the real-time operation data of each sub-data collection area is subjected to the same type of classification processing to obtain multiple real-time operation data sets, and the operation data integration coefficient corresponding to each real-time operation data set is calculated, it includes: Calculating the data mean of the real-time running data set; The operation data integration coefficient corresponding to each real-time operation data set is calculated according to the following formula: ; Among them, e is the operation data integration coefficient corresponding to the real-time operation data set, c1 is the first calculation coefficient, f is the data mean, n is the number of real-time operation data in the real-time operation data set, a i is the i-th real-time operation data in the real-time operation data set, c2 is the second calculation coefficient, b max For all (fa i ), b min For all (fa i ) is the minimum value among .

[0024] In this embodiment, the temperature of each sub-data collection area is extracted to construct a real-time operation data set, in which the temperature is of the same type.

[0025] The beneficial effect of the above technical solution is that the present invention calculates the operation data integration coefficient corresponding to each real-time operation data set, which can preliminarily reflect the operation status of the steam turbine and lay the foundation for the thermal efficiency control of the steam turbine.

[0026] S130: determining coefficient means and coefficient variances of all operation data integration coefficients, dividing all operation data integration coefficients based on the coefficient means and the coefficient variances, and calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled based on the division result; In some embodiments of the present application, when all the operation data integration coefficients are divided based on the coefficient mean and the coefficient variance, and the comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated based on the division result, it includes: Extracting all running data integration coefficients greater than or equal to the coefficient mean, and constructing a first integration coefficient set; Extracting all running data integration coefficients that are greater than or equal to the coefficient variance, and constructing a second integration coefficient set; Determine whether the first integration coefficient and the second integration coefficient have an intersection, and if so, repeatedly extract the intersection operation data integration coefficients, and non-repeatedly extract the remaining operation data integration coefficients; constructing a third integration coefficient set according to the extracted operation data integration coefficients; If not, performing non-repetitive extraction on the operation data integration coefficients corresponding to the first integration coefficient and the second integration coefficient; constructing a third integration coefficient set according to the extracted operation data integration coefficients; Calculating a second coefficient mean of the third integration coefficient set, and dividing all operation data integration coefficients in the third integration coefficient set that are less than the second coefficient mean into a fourth integration coefficient set; dividing all the operation data integration coefficients in the third integration coefficient set that are greater than or equal to the second coefficient mean into a fifth integration coefficient set; Performing curve fitting on the operation data integration coefficients in the fourth integration coefficient set to obtain a first integration coefficient fitting curve; Performing curve fitting on the operation data integration coefficients in the fifth integration coefficient set to obtain a second integration coefficient fitting curve; The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the first integration coefficient fitting curve and the second integration coefficient fitting curve.

[0027] In this embodiment, if the first integration coefficient is 1, 2, 4, 6, 8 and the second integration coefficient is 4, 6, 8, repeated extraction refers to extracting 4, 6, 8, 4, 6, 8, and non-repeated extraction refers to 1, 2. The third integration coefficient set is 4, 6, 8, 4, 6, 8, 1, 2. If there is no intersection, the operation data integration coefficients corresponding to the first integration coefficient and the second integration coefficient are non-repeatedly extracted, and the third integration coefficient set is 1, 2, 4, 6, 8. The above is shown by example.

[0028] The beneficial effect of the above technical solution is that the present invention calculates the comprehensive operation data integration coefficient of the controlled steam turbine according to the first integration coefficient fitting curve and the second integration coefficient fitting curve, which can ensure the calculation accuracy of the comprehensive operation data integration coefficient.

[0029] In some embodiments of the present application, when calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled according to the first integration coefficient fitting curve and the second integration coefficient fitting curve, it includes: Determine the curve slope corresponding to each operation data integration coefficient on the first integration coefficient fitting curve, and extract the first maximum curve slope; Determining a maximum operation data integration coefficient and a minimum operation data integration coefficient on the first integration coefficient fitting curve, and calculating a coefficient difference between the maximum operation data integration coefficient and the minimum operation data integration coefficient; Calculating the product value between the first maximum curve slope and the coefficient difference and using it as the first sub-comprehensive operation data integration coefficient of the steam turbine to be controlled; Determine the curve slope corresponding to each operation data integration coefficient on the second integration coefficient fitting curve, and extract the second maximum curve slope; determining a second maximum operation data integration coefficient and a second minimum operation data integration coefficient on the second integration coefficient fitting curve, and calculating a second coefficient difference between the second maximum operation data integration coefficient and the second minimum operation data integration coefficient; Calculating a second product value between the slope of the second maximum curve and the second coefficient difference and using the second product value as a second sub-comprehensive operation data integration coefficient of the steam turbine to be controlled; The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the first sub-comprehensive operation data integration coefficient and the second sub-comprehensive operation data integration coefficient.

[0030] In this embodiment, the method for determining the slope will not be described in detail here.

[0031] The beneficial effect of the above technical solution is that the present invention obtains the first sub-comprehensive operation data integration coefficient and the second sub-comprehensive operation data integration coefficient by calculation, which can lay a foundation for the calculation of the comprehensive operation data integration coefficient and provide data support.

[0032] In some embodiments of the present application, when calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled according to the first sub-comprehensive operation data integration coefficient and the second sub-comprehensive operation data integration coefficient, it includes: The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the following formula: ; Among them, g is the comprehensive operation data integration coefficient of the steam turbine to be controlled, h1 is the first sub-comprehensive operation data integration coefficient, p1 is the weight corresponding to the first sub-comprehensive operation data integration coefficient, h2 is the second sub-comprehensive operation data integration coefficient, and p2 is the weight corresponding to the second sub-comprehensive operation data integration coefficient.

[0033] S140: acquiring a historical thermal efficiency change record of the steam turbine to be controlled, analyzing the historical thermal efficiency change record, and calculating a historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the analysis result; In some embodiments of the present application, when obtaining the historical thermal efficiency change record of the steam turbine to be controlled, parsing the historical thermal efficiency change record, and calculating the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the parsing result, it includes: Compare each historical thermal efficiency change record with a preset thermal efficiency, and if the historical thermal efficiency change record is less than the preset thermal efficiency, generate an abnormal thermal efficiency mark for the corresponding historical thermal efficiency change record; If the historical thermal efficiency change record is greater than or equal to the preset thermal efficiency, a stable thermal efficiency mark is generated for the corresponding historical thermal efficiency change record; Calculate the difference between each historical thermal efficiency change record generating an abnormal thermal efficiency mark and the historical thermal efficiency of the preset thermal efficiency; Counting the number of abnormal marks corresponding to the abnormal thermal efficiency mark, and counting the number of stable marks corresponding to the stable thermal efficiency mark; The historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled is calculated according to the historical thermal efficiency difference, the abnormal mark number and the stable mark number.

[0034] In this embodiment, the historical thermal efficiency change record includes the thermal efficiencies of multiple steam turbines.

[0035] The beneficial effect of the above technical scheme is: the present invention calculates the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the historical thermal efficiency difference, the number of abnormal marks and the number of stable marks. The historical thermal efficiency control fluctuation coefficient can reflect the historical thermal efficiency control situation of the steam turbine, thereby further ensuring the comprehensiveness of the control of the thermal efficiency of the steam turbine.

[0036] In some embodiments of the present application, when calculating the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled according to the historical thermal efficiency difference, the abnormal mark number and the stable mark number, it includes: The historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled is calculated according to the following formula: ; Among them, q is the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled, s1 is the third calculation coefficient, t1 is the number of abnormal marks, t2 is the number of stable marks, s2 is the fourth calculation coefficient, and w u is the ith historical thermal efficiency difference, w max is the maximum historical thermal efficiency difference.

[0037] S150: setting a correction coefficient based on the historical thermal efficiency control fluctuation coefficient, and correcting the comprehensive operation data integration coefficient based on the correction coefficient to obtain a target comprehensive operation data integration coefficient of the steam turbine to be controlled; In some embodiments of the present application, when a correction coefficient is set based on the historical thermal efficiency control fluctuation coefficient, and the comprehensive operation data integration coefficient is corrected based on the correction coefficient to obtain a target comprehensive operation data integration coefficient of the steam turbine to be controlled, the method includes: Presetting a first preset historical thermal efficiency control fluctuation coefficient and a second preset historical thermal efficiency control fluctuation coefficient; Presetting a first preset correction coefficient, a second preset correction coefficient, and a third preset correction coefficient; When the historical thermal efficiency control fluctuation coefficient is less than the first preset historical thermal efficiency control fluctuation coefficient, the product value of the first preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled; When the historical thermal efficiency control fluctuation coefficient is greater than or equal to the first preset historical thermal efficiency control fluctuation coefficient and less than the second preset historical thermal efficiency control fluctuation coefficient, the product value of the second preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled; When the historical thermal efficiency control fluctuation coefficient is greater than or equal to the second preset historical thermal efficiency control fluctuation coefficient, the product value of the third preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled.

[0038] In this embodiment, the first preset historical thermal efficiency control fluctuation coefficient is smaller than the second preset historical thermal efficiency control fluctuation coefficient. The first preset historical thermal efficiency control fluctuation coefficient is preferably 0.6, and the second preset historical thermal efficiency control fluctuation coefficient is preferably 0.8.

[0039] In this embodiment, the first preset correction coefficient is smaller than the second preset correction coefficient, which is smaller than the third preset correction coefficient. The first preset correction coefficient is preferably 0.95, the second preset correction coefficient is preferably 1.05, and the third preset correction coefficient is preferably 1.15.

[0040] The beneficial effect of the above technical solution is: the present invention selects a preset correction coefficient through the historical thermal efficiency control fluctuation coefficient, the first preset historical thermal efficiency control fluctuation coefficient and the second preset historical thermal efficiency control fluctuation coefficient, and then adjusts the comprehensive operation data integration coefficient, thereby further ensuring the comprehensiveness and accuracy of the calculation of the comprehensive operation data integration coefficient and avoiding calculation errors.

[0041] S160: Collecting initial control parameters of the controlled steam turbine, and adjusting the initial control parameters according to the target comprehensive operation data integration coefficient to obtain control parameters, and controlling the steam turbine to be controlled according to the control parameters, wherein the initial control parameters include steam temperature and turbine back pressure.

[0042] In some embodiments of the present application, when collecting the initial control parameters of the control steam turbine and adjusting the initial control parameters according to the target comprehensive operation data integration coefficient to obtain the control parameters, it includes: Presetting a first preset target comprehensive operation data integration coefficient and a second preset target comprehensive operation data integration coefficient; Presetting a first preset ascending control parameter, a second preset ascending control parameter and a third preset ascending control parameter; Presetting a first preset descent control parameter, a second preset descent control parameter, and a third preset descent control parameter; When the target comprehensive operation data integration coefficient is less than the first preset target comprehensive operation data integration coefficient, the product value of the first preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the first preset falling control parameter and the steam turbine back pressure is calculated as the steam turbine back pressure control parameter; When the target comprehensive operation data integration coefficient is greater than or equal to the first preset target comprehensive operation data integration coefficient, and less than the second preset target comprehensive operation data integration coefficient, the product value of the second preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the second preset falling control parameter and the steam turbine back pressure is calculated as the steam turbine back pressure control parameter; When the target comprehensive operating data integration coefficient is greater than or equal to the second preset target comprehensive operating data integration coefficient, the product value of the third preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the third preset falling control parameter and the turbine back pressure is calculated as the turbine back pressure control parameter.

[0043] In this embodiment, the first preset target comprehensive operation data integration coefficient is smaller than the second preset target comprehensive operation data integration coefficient. The first preset target comprehensive operation data integration coefficient is preferably 8, and the second preset target comprehensive operation data integration coefficient is preferably 12.

[0044] In this embodiment, the first preset rise control parameter is less than the second preset rise control parameter which is less than the third preset rise control parameter. The first preset rise control parameter is preferably 1.15, the second preset rise control parameter is preferably 1.25, and the third preset rise control parameter is preferably 1.35.

[0045] In this embodiment, the first preset descent control parameter is smaller than the second preset descent control parameter which is smaller than the third preset descent control parameter. The first preset descent control parameter is preferably 0.75, the second preset descent control parameter is preferably 0.85, and the third preset descent control parameter is preferably 0.95.

[0046] The beneficial effect of the above technical solution is that the present invention can achieve precise regulation of steam temperature and turbine back pressure by setting the rising control parameters of steam temperature and the falling control parameters of turbine back pressure, avoiding manual adjustment and the occurrence of errors, which can not only ensure the stable improvement of turbine thermal efficiency, but also avoid energy waste.

[0047] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0048] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0049] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control method for improving the thermal efficiency of a steam turbine, characterized in that: include: Determine a steam turbine to be controlled, divide the steam turbine to be controlled into a plurality of sub-data collection areas, mark each sub-data collection area, and obtain real-time operation data of each sub-data collection area in real time; Performing the same type of classification processing on the real-time operation data of each sub-data collection area to obtain multiple real-time operation data sets, and calculating the operation data integration coefficient corresponding to each real-time operation data set; Determining coefficient means and coefficient variances of all operation data integration coefficients, dividing all operation data integration coefficients based on the coefficient means and the coefficient variances, and calculating the comprehensive operation data integration coefficient of the steam turbine to be controlled based on the division result; Acquiring a historical thermal efficiency change record of the steam turbine to be controlled, parsing the historical thermal efficiency change record, and calculating a historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the parsing result; A correction coefficient is set based on the historical thermal efficiency control fluctuation coefficient, and the comprehensive operation data integration coefficient is corrected based on the correction coefficient to obtain a target comprehensive operation data integration coefficient of the steam turbine to be controlled; Initial control parameters of the controlled steam turbine are collected, and the initial control parameters are adjusted according to the target comprehensive operation data integration coefficient to obtain control parameters, and the steam turbine to be controlled is controlled according to the control parameters, wherein the initial control parameters include steam temperature and turbine back pressure.

2. The control method for improving the thermal efficiency of a steam turbine according to claim 1, characterized in that: When the real-time operation data of each sub-data collection area are classified and processed into the same type to obtain multiple real-time operation data sets, and the operation data integration coefficient corresponding to each real-time operation data set is calculated, it includes: Calculating the data mean of the real-time running data set; The operation data integration coefficient corresponding to each real-time operation data set is calculated according to the following formula: ； Among them, e is the operation data integration coefficient corresponding to the real-time operation data set, c1 is the first calculation coefficient, f is the data mean, n is the number of real-time operation data in the real-time operation data set, a i is the i-th real-time operation data in the real-time operation data set, c2 is the second calculation coefficient, b max For all (fa i ), b min For all (fa i ) is the minimum value among .

3. The control method for improving the thermal efficiency of a steam turbine according to claim 1, characterized in that: When all the operation data integration coefficients are divided based on the coefficient mean and the coefficient variance, and the comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated based on the division result, it includes: Extracting all running data integration coefficients greater than or equal to the coefficient mean, and constructing a first integration coefficient set; Extracting all running data integration coefficients that are greater than or equal to the coefficient variance, and constructing a second integration coefficient set; Determine whether the first integration coefficient and the second integration coefficient have an intersection, and if so, repeatedly extract the intersection operation data integration coefficients, and non-repeatedly extract the remaining operation data integration coefficients; constructing a third integration coefficient set according to the extracted operation data integration coefficients; If not, performing non-repetitive extraction on the operation data integration coefficients corresponding to the first integration coefficient and the second integration coefficient; constructing a third integration coefficient set according to the extracted operation data integration coefficients; Calculating a second coefficient mean of the third integration coefficient set, and dividing all operation data integration coefficients in the third integration coefficient set that are less than the second coefficient mean into a fourth integration coefficient set; dividing all the operation data integration coefficients in the third integration coefficient set that are greater than or equal to the second coefficient mean into a fifth integration coefficient set; Performing curve fitting on the operation data integration coefficients in the fourth integration coefficient set to obtain a first integration coefficient fitting curve; Performing curve fitting on the operation data integration coefficients in the fifth integration coefficient set to obtain a second integration coefficient fitting curve; The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the first integration coefficient fitting curve and the second integration coefficient fitting curve.

4. The control method for improving the thermal efficiency of a steam turbine according to claim 3, characterized in that: When calculating the integrated operation data integration coefficient of the steam turbine to be controlled according to the first integration coefficient fitting curve and the second integration coefficient fitting curve, it includes: Determine the curve slope corresponding to each operation data integration coefficient on the first integration coefficient fitting curve, and extract the first maximum curve slope; Determining a maximum operation data integration coefficient and a minimum operation data integration coefficient on the first integration coefficient fitting curve, and calculating a coefficient difference between the maximum operation data integration coefficient and the minimum operation data integration coefficient; Calculating the product value between the first maximum curve slope and the coefficient difference and using it as the first sub-comprehensive operation data integration coefficient of the steam turbine to be controlled; Determine the curve slope corresponding to each operation data integration coefficient on the second integration coefficient fitting curve, and extract the second maximum curve slope; determining a second maximum operation data integration coefficient and a second minimum operation data integration coefficient on the second integration coefficient fitting curve, and calculating a second coefficient difference between the second maximum operation data integration coefficient and the second minimum operation data integration coefficient; Calculating a second product value between the slope of the second maximum curve and the second coefficient difference and using the second product value as a second sub-comprehensive operation data integration coefficient of the steam turbine to be controlled; The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the first sub-comprehensive operation data integration coefficient and the second sub-comprehensive operation data integration coefficient.

5. The control method for improving the thermal efficiency of a steam turbine according to claim 4, characterized in that: When calculating the integrated operation data integration coefficient of the steam turbine to be controlled according to the first sub-integrated operation data integration coefficient and the second sub-integrated operation data integration coefficient, the method includes: The comprehensive operation data integration coefficient of the steam turbine to be controlled is calculated according to the following formula: ； Among them, g is the comprehensive operation data integration coefficient of the steam turbine to be controlled, h1 is the first sub-comprehensive operation data integration coefficient, p1 is the weight corresponding to the first sub-comprehensive operation data integration coefficient, h2 is the second sub-comprehensive operation data integration coefficient, and p2 is the weight corresponding to the second sub-comprehensive operation data integration coefficient.

6. The control method for improving the thermal efficiency of a steam turbine according to claim 1, characterized in that: When obtaining the historical thermal efficiency change record of the steam turbine to be controlled, parsing the historical thermal efficiency change record, and calculating the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled based on the parsing result, the method includes: Compare each historical thermal efficiency change record with a preset thermal efficiency, and if the historical thermal efficiency change record is less than the preset thermal efficiency, generate an abnormal thermal efficiency mark for the corresponding historical thermal efficiency change record; If the historical thermal efficiency change record is greater than or equal to the preset thermal efficiency, a stable thermal efficiency mark is generated for the corresponding historical thermal efficiency change record; Calculate the difference between each historical thermal efficiency change record generating an abnormal thermal efficiency mark and the historical thermal efficiency of the preset thermal efficiency; Counting the number of abnormal marks corresponding to the abnormal thermal efficiency mark, and counting the number of stable marks corresponding to the stable thermal efficiency mark; The historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled is calculated according to the historical thermal efficiency difference, the abnormal mark number and the stable mark number.

7. The control method for improving the thermal efficiency of a steam turbine according to claim 6, characterized in that: When calculating the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled according to the historical thermal efficiency difference, the abnormal mark quantity and the stable mark quantity, it includes: The historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled is calculated according to the following formula: ； Among them, q is the historical thermal efficiency control fluctuation coefficient of the steam turbine to be controlled, s1 is the third calculation coefficient, t1 is the number of abnormal marks, t2 is the number of stable marks, s2 is the fourth calculation coefficient, and w u is the ith historical thermal efficiency difference, w max is the maximum historical thermal efficiency difference.

8. The control method for improving the thermal efficiency of a steam turbine according to claim 1, characterized in that: When a correction coefficient is set based on the historical thermal efficiency control fluctuation coefficient, and the comprehensive operation data integration coefficient is corrected based on the correction coefficient to obtain a target comprehensive operation data integration coefficient of the steam turbine to be controlled, the method includes: Presetting a first preset historical thermal efficiency control fluctuation coefficient and a second preset historical thermal efficiency control fluctuation coefficient; Presetting a first preset correction coefficient, a second preset correction coefficient, and a third preset correction coefficient; When the historical thermal efficiency control fluctuation coefficient is less than the first preset historical thermal efficiency control fluctuation coefficient, the product value of the first preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled; When the historical thermal efficiency control fluctuation coefficient is greater than or equal to the first preset historical thermal efficiency control fluctuation coefficient and less than the second preset historical thermal efficiency control fluctuation coefficient, the product value of the second preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled; When the historical thermal efficiency control fluctuation coefficient is greater than or equal to the second preset historical thermal efficiency control fluctuation coefficient, the product value of the third preset correction coefficient and the comprehensive operation data integration coefficient is calculated and used as the target comprehensive operation data integration coefficient of the steam turbine to be controlled.

9. The control method for improving the thermal efficiency of a steam turbine according to claim 1, characterized in that: When collecting the initial control parameters of the control steam turbine and adjusting the initial control parameters according to the target comprehensive operation data integration coefficient to obtain the control parameters, it includes: Presetting a first preset target comprehensive operation data integration coefficient and a second preset target comprehensive operation data integration coefficient; Presetting a first preset ascending control parameter, a second preset ascending control parameter and a third preset ascending control parameter; Presetting a first preset descent control parameter, a second preset descent control parameter, and a third preset descent control parameter; When the target comprehensive operation data integration coefficient is less than the first preset target comprehensive operation data integration coefficient, the product value of the first preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the first preset falling control parameter and the steam turbine back pressure is calculated as the steam turbine back pressure control parameter; When the target comprehensive operation data integration coefficient is greater than or equal to the first preset target comprehensive operation data integration coefficient, and less than the second preset target comprehensive operation data integration coefficient, the product value of the second preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the second preset falling control parameter and the steam turbine back pressure is calculated as the steam turbine back pressure control parameter; When the target comprehensive operating data integration coefficient is greater than or equal to the second preset target comprehensive operating data integration coefficient, the product value of the third preset rising control parameter and the steam temperature is calculated as the steam temperature control parameter, and the product value of the third preset falling control parameter and the turbine back pressure is calculated as the turbine back pressure control parameter.

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