A dynamic optimization method and system for the flow characteristic curve of a steam turbine valve

Abstract

The present application relates to a dynamic optimization method for the flow characteristic curve of a steam turbine valve, which includes the following steps: collecting the operation data of the steam turbine unit, and solving the flow characteristic curve of the steam turbine unit valve at different opening degrees; using the flow characteristic curve to formulate a flow optimization strategy for the steam turbine unit valve, and realizing the dynamic optimization of the flow characteristic curve of the steam turbine valve according to the flow optimization strategy. After the optimization is completed, the next optimization cycle will automatically start. The present application can achieve the goal of dynamically optimizing the flow characteristic curve of the valve.

Description

Technical Field

[0001] The present invention relates to the technical field of optimizing the flow characteristics of steam turbine valves, and particularly relates to a method and system for dynamically optimizing the flow characteristic curve of steam turbine valves. Background Technique

[0002] The flow characteristics of steam turbine valves have an important impact on the unit load regulation quality. The renovation of the flow part of the steam turbine unit and the maintenance of high-pressure regulating valves often cause the actual flow characteristics of the steam turbine unit valves to deviate from the flow characteristic function set in the DEH (Digital Electro-Hydraulic Control System of Steam Turbine), resulting in the deterioration of the unit's automatic generation control and primary frequency modulation regulation quality.

[0003] Optimizing the valve flow characteristic function through on-site tests, obtaining the actual flow characteristics of the valves through tests, and correcting the flow characteristic function set by the digital electro-hydraulic control system of the steam turbine unit according to the actual flow characteristics of the valves can achieve the optimization of the valve flow characteristics to a certain extent. However, on-site tests require dispatching approval, are time-consuming and laborious, and have poor timeliness. The flow characteristics of steam turbine valves change continuously during wear. After the unit has been operating for a period of time, the actual flow characteristics of the steam turbine valves change again, and the regulation quality of the unit deteriorates again. On the other hand, the dispatching center of the provincial power company rewards and assesses the units according to the automatic control performance indicators and the comprehensive indicators of primary frequency modulation assessment of thermal power units. A large amount of indicator data has been accumulated on the master station side of the dispatching center of the provincial power company. The indicator data contains the unit operation status information. At present, the indicator data is only used for rewards and assessments and has not been effectively and fully explored and utilized.

[0004] Therefore, how to provide a method for dynamically optimizing the flow characteristic curve of steam turbine valves is an urgent problem to be solved at present. Summary of the Invention

[0005] The embodiments of the present invention provide a method for dynamically optimizing the flow characteristic curve of steam turbine valves to solve the problem that the optimization effect of the actual flow characteristics of steam turbine unit valves in the prior art is not ideal. To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary part is not a general review, nor is it intended to identify key / important constituent elements or delineate the protection scope of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0006] In a first aspect, the present application provides a method for dynamically optimizing the flow characteristic curve of steam turbine valves, including the following steps:

[0007] Collect the operation data of the steam turbine unit and solve the flow characteristic curve of the steam turbine unit valves at different opening degrees;

[0008] Using the flow characteristic curve, formulate a flow optimization strategy for the steam turbine unit valves.

[0009] Optionally, the step of collecting the operation data of the steam turbine unit includes: collecting any one or several of the active power data set, main steam pressure data set, main steam temperature data set, exhaust steam pressure data set, exhaust steam temperature data set or valve opening data set of the steam turbine unit, and combining the collected data sets into a data matrix.

[0010] Optionally, the step of preprocessing the operation data of the collected steam turbine unit further includes: removing abnormal data, where the abnormal data includes any one or several of the data during the main fuel trip of the unit, the data during the load reduction due to auxiliary equipment failure, and / or the data during frequent valve jitter.

[0011] Optionally, the step of preprocessing the operation data of the collected steam turbine unit further includes: determining whether there is an overlap area in the steam turbine unit valves. When there is an overlap area, marking the overlap area as an overlapping section and the other areas as non-overlapping sections, deleting the data in the overlapping section, and reconnecting the data in the non-overlapping section together.

[0012] Optionally, the step of preprocessing the collected operation data further includes: calculating the main steam enthalpy value using the main steam pressure data set and the main steam temperature data set, calculating the exhaust steam enthalpy value of the steam turbine unit using the exhaust steam temperature data set and the exhaust steam pressure data set of the steam turbine unit, and calculating the main steam flow data set using the active power of the steam turbine unit, the absolute electrical efficiency, the main steam enthalpy value, and the exhaust steam enthalpy value of the steam turbine unit.

[0013] Optionally, the calculation formula for the main steam flow data set is as follows:

[0014]

[0015] where D is the main steam flow, in t / h; P is the active power of the steam turbine unit, in KW; h in is the main steam enthalpy value, in KJ / Kg; h out is the exhaust steam enthalpy value of the steam turbine unit, in KJ / Kg; η is the absolute electrical efficiency of the steam turbine unit, and its calculation formula is as follows:

[0016]

[0017] where h s is the isentropic expansion steam enthalpy value, in KJ / Kg; η m is the mechanical efficiency, taking 0.99; η e is the generator efficiency, taking 0.99.

[0018] Optionally, the step of solving the flow characteristic curve of the steam turbine valve at different opening degrees by using the preprocessed operation data includes:

[0019] Construct a main steam flow data set and a steam turbine valve opening data matrix, and use the three-point midpoint method to solve the flow characteristic curve of the steam turbine valve.

[0020] Optionally, the step of constructing the main steam flow data set and the steam turbine valve opening data matrix includes:

[0021] When the steam turbine valve is in single-valve mode, the constructed main steam flow data set and steam turbine valve opening data matrix are expressed as: [D v , GV1 v , where D v represents the calculated main steam flow data set, and GV1 v represents the valve opening data set;

[0022] The step of using the three-point midpoint method to solve the flow characteristic curve of the steam turbine valve includes:

[0023] Arrange the data points in the data matrix in ascending order according to the opening degree of the steam turbine valve;

[0024] Combine three adjacent points in the data matrix to form a combination, and obtain a combination set;

[0025] Take the median of three adjacent points to form a new point, and obtain a new data matrix;

[0026] Loop through the new data matrix using the grouped three-point midpoint method until the valve flow characteristic curve in the single-valve mode of the steam turbine unit is obtained.

[0027] Optionally, the step of constructing the main steam flow data set and the steam turbine valve opening data matrix further includes:

[0028] When the steam turbine valve is a sequence valve and the number of valves is M, construct the main steam flow data set and the steam turbine valve opening data matrix for each valve. This data matrix is expressed as:

[0029] [D v , GV1 v , GV2 v , GV3 v , GV4 v , and decompose it into [D v , GV1 v , [D v , GV2 v , [D v , GV3 v , …… [Dv , GVM v , and delete the data points with an opening degree of 0 in the data matrix corresponding to each valve. M is a positive integer greater than 1, where D v represents the calculated main steam flow rate data set, GV1 v , GV2 v , GV3 v , ……, GVM v are the opening degree data sets of valves 1 to valve M respectively.

[0030] Optionally, when the valves of the steam turbine unit are sequence valves and the number of valves is M, the steps of solving the flow characteristic curve of the steam turbine unit valves by using the three-point median method include:

[0031] Sort the data points in the data matrices [D v , GV1 v , [D v , GV2 v , [D v , GV3 v …… [D v , GVM v in ascending order according to their corresponding valve opening degrees;

[0032] Take three points from each data matrix corresponding to a valve to form a combination, and obtain a combination set;

[0033] Form a new point by taking the median of adjacent three points to obtain a new data matrix;

[0034] Use the grouped three-point median method on the new data matrix in a loop until the valve flow characteristic curves of all valves in the sequence valve mode of the steam turbine unit are obtained.

[0035] Optionally, the steps of solving the flow characteristic curve of the steam turbine unit valves by using the three-point median method further include: For the flow characteristic curve of the valve overlap section in the sequence valve mode of the steam turbine unit, use the data before optimization, combine the automatic generation control performance index and the primary frequency modulation comprehensive performance index to form a data matrix, and adjust and optimize the flow characteristic curve of the valve overlap section.

[0036] Optionally, the steps of combining the automatic generation control performance index and the primary frequency modulation comprehensive performance index to form a data matrix include: The automatic generation control performance index includes a regulation rate index data set, a regulation accuracy index data set, and a response time index data set. The primary frequency modulation comprehensive performance index includes an integral power contribution index data set. Combine the automatic generation control index and the primary frequency modulation related index to form a data matrix [K1 v , K2 v , K3 v , Qv , GV1 v , GV2 v , GV3 v , …… GVM v , K1 v is the dataset of the regulation rate index of the unit, K2 v is the dataset of the regulation accuracy index of the unit, K3 v is the dataset of the response time index of the unit, Q v is the dataset of the primary frequency regulation integral power contribution index.

[0037] Optionally, when the valves of the steam turbine unit are sequence valves and the number of valves is M, there are a total of M - 1 overlapping zones for the valves, namely overlapping zone 1, overlapping zone 2, …… overlapping zone (M - 1). When the automatic generation control index and / or the primary frequency regulation related index in any one of the overlapping zones from overlapping zone 1 to overlapping zone (M - 1) is unqualified, calculate the expansion coefficient of this overlapping zone, and use the expansion coefficient to adjust the range of this overlapping zone; when the automatic generation control index and the primary frequency regulation related index in any one of the overlapping zones from overlapping zone 1 to overlapping zone (M - 1) are both qualified, then the range of this overlapping zone remains unchanged, where M is a positive integer greater than 1.

[0038] In a second aspect, the present application provides a dynamic optimization system for the flow characteristic curve of the valves of a steam turbine unit, including an acquisition unit and a calculation unit, where:

[0039] The acquisition unit is used to acquire the operation data of the steam turbine unit and solve the flow characteristic curve of the valves of the steam turbine unit at different opening degrees;

[0040] The calculation unit is used to formulate a flow optimization strategy for the valves of the steam turbine unit by using the flow characteristic curve.

[0041] In a third aspect, the present application provides a medium, on which a program is stored, and when the program is executed by a processor, it implements the steps in the dynamic optimization method for the flow characteristic curve of the steam turbine valves as described in any one of the above.

[0042] In a fourth aspect, the present application provides a computer device, including a memory, a processor, and a program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps in the dynamic optimization method for the flow characteristic curve of the steam turbine valves as described in any one of the above.

[0043] The technical solution provided by the embodiments of the present invention may include the following beneficial effects:

[0044] This method can optimize the valve flow characteristic curve under normal operation of the unit, achieving the effect of on-site tests without conducting on-site tests. By continuously collecting and processing the data under the normal operation state of the unit, the goal of optimizing the valve flow characteristic curve can be achieved. In addition, this method fully exploits the valve operation state information hidden in the index data, enhancing the communication between the provincial dispatching center and the power plant and improving the utilization rate of index data. Moreover, since the operation data can be collected in real time, the next optimization cycle can be automatically started after one optimization is completed, realizing the dynamic optimization adjustment of the steam turbine unit valve flow characteristic curve, greatly improving the timeliness of optimization. The true flow characteristic of the unit valve changes slightly over time, and the valve flow characteristic curve can be continuously optimized online, avoiding the situation of poor regulating ability of the unit load caused by untimely optimization.

[0045] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present invention. Brief Description of the Drawings

[0046] The drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present invention and used together with the specification to explain the principles of the present invention.

[0047] Figure 1 is a schematic flow chart of dynamic optimization of the steam turbine unit valve flow characteristic curve shown according to an exemplary embodiment;

[0048] Figure 2 is a valve opening and main steam flow point diagram shown according to an exemplary embodiment;

[0049] Figure 3 is a schematic diagram of the valve flow characteristic curve shown according to an exemplary embodiment;

[0050] Figure 4 is a schematic structural diagram of a computer device shown according to an exemplary embodiment. Detailed Embodiments

[0051] The following description and the accompanying drawings fully disclose specific embodiments herein, enabling those skilled in the art to practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments herein includes the entire scope of the claims and all available equivalents of the claims. In this document, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a structure, device or equipment comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such structure, device or equipment. Without further limitation, an element defined by the statement "comprising one..." does not exclude the existence of additional identical elements in the structure, device or equipment comprising the said element. The various embodiments herein are described in a progressive manner, with each embodiment highlighting the differences from other embodiments. For the same or similar parts among the various embodiments, reference may be made to each other.

[0052] In this document, the orientation or positional relationships indicated by the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing this document 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, and thus should not be construed as a limitation on the present invention. In the description of this document, unless otherwise specified and defined, the terms "mounted", "connected", "coupled" shall be understood in a broad sense. For example, it may be a mechanical connection or an electrical connection, or may also be the communication inside two elements. It may be directly connected or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms may be understood according to specific circumstances.

[0053] In this document, unless otherwise stated, the term "plurality" means two or more.

[0054] In this document, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0055] In this document, the term "and / or" is a description of the associative relationship of an object, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B these three relationships.

[0056] Without conflict, the embodiments in the present invention and the features in the embodiments may be combined with each other.

[0057] As Figure 1 shown, a dynamic optimization method for the flow characteristic curve of a steam turbine valve includes the following steps:

[0058] Collect the operation data of the steam turbine unit, and solve the flow characteristic curve of the steam turbine unit valve at different opening degrees;

[0059] Use the flow characteristic curve to formulate a flow optimization strategy for the steam turbine unit valve.

[0060] In one embodiment, the step of collecting the operation data of the steam turbine unit: includes collecting any one or several of the active power data set, main steam pressure data set, main steam temperature data set, exhaust steam pressure data set, exhaust steam temperature data set or valve opening degree data set of the steam turbine unit, and combining the collected data sets into a data matrix.

[0061] In one embodiment, the step of collecting the operation data of the steam turbine unit includes: removing abnormal data, and the abnormal data includes any one or several of the data when the main fuel trip of the unit occurs, the data when the auxiliary equipment fails to reduce the load, and / or the data when the valve jitters frequently.

[0062] In one embodiment, the step of collecting the operation data of the steam turbine unit further includes: determining whether there is an overlap area in the steam turbine unit valve. When there is an overlap area, mark the overlap area as an overlapping section, and mark the other areas as non-overlapping sections, delete the overlapping section data, and reconnect the non-overlapping section data together.

[0063] In one embodiment, the step of preprocessing the collected operation data of the steam turbine unit further includes: calculating the main steam enthalpy value by using the main steam pressure data set and the main steam temperature data set, calculating the exhaust steam enthalpy value of the steam turbine unit by using the exhaust steam temperature data set and the exhaust steam pressure data set of the steam turbine unit, and calculating the main steam flow data set by using the active power, absolute electrical efficiency, main steam enthalpy value, and exhaust steam enthalpy value of the steam turbine unit.

[0064] In one embodiment, the calculation formula of the main steam flow data set is as follows:

[0065]

[0066] Wherein, D is the main steam flow, with the unit of t / h; P is the active power of the steam turbine unit, with the unit of KW; h in Main steam enthalpy value, with the unit of KJ / Kg; h out$h$ is the exhaust enthalpy value of the steam turbine unit, with the unit of KJ / Kg; $\eta$ is the absolute electrical efficiency of the steam turbine unit. The absolute electrical efficiency represents how much energy of the ideal specific enthalpy drop per 1 kg of steam is converted into electrical load. The calculation formula is as follows:

[0067]

[0068] Among them, $h$ s is the isentropic expansion steam enthalpy value, with the unit of KJ / Kg; $\eta$ m is the mechanical efficiency, taking 0.99; $\eta$ e is the generator efficiency, taking 0.99.

[0069] In one embodiment, the steps of solving the flow characteristic curve of the steam turbine unit at different valve openings by using the preprocessed operation data include the following steps: constructing a main steam flow data set and a steam turbine unit valve opening data matrix, and using the three-point sampling method to solve the flow characteristic curve of the steam turbine unit valve.

[0070] In one embodiment, when the steam turbine unit valve is in the single-valve mode, the operation data of the steam turbine unit in the single-valve mode is collected in real time or with a delay. The collection period is 1 s, and it can also be adjusted accordingly according to the operation conditions of the steam turbine unit. The data to be collected includes active power, main steam pressure, main steam temperature, steam turbine unit exhaust temperature, steam turbine unit exhaust pressure, and the opening data of the high-pressure regulating valve. Since all valve openings are the same in the single-valve operation mode of the steam turbine unit, the opening data of one of the valves can be taken.

[0071] The collected data is combined into a data matrix $[P$ v , $Y$ iv , $T$ iv , $Y$ ov , $T$ ov , $GV1$ v . $P$ v is the active power data set, $Y$ iv is the main steam pressure data set, $T$ iv is the main steam temperature data set, $Y$ ov is the steam turbine unit exhaust pressure data set, $T$ ov is the steam turbine unit exhaust temperature data set, $GV1$ v is the opening data set of the No. 1 high-pressure regulating valve.

[0072] The collected data is processed to remove abnormal data, where the abnormal data includes any one or several of the data during the main fuel trip of the unit, the data during the auxiliary equipment fault load reduction, and / or the data during the frequent valve jitter.

[0073] Since water vapor cannot be treated as an ideal gas, it is currently difficult to obtain accurate and practical equations directly applicable to engineering calculations for the study of the thermodynamic properties of steam, including parameters such as the equation of state, specific heat capacity, internal energy, enthalpy, and entropy, using pure theoretical methods or pure experimental methods. For the convenience of application, in engineering, the required steam thermodynamic parameters such as the enthalpy value of isentropic expansion steam can be obtained from the steam thermodynamic property database. Given the steam temperature t (°C) and pressure p (MPa), the steam enthalpy value (kJ / kg) can be automatically obtained from the steam thermodynamic property table.

[0074] After the above calculation and processing, the original data matrix of the collected operating data is simplified to [D v , GV1 v , where D v is the dataset of the main steam flow rate after calculation.

[0075] The steps to solve the flow characteristic curve of the steam turbine valve using the three-point midpoint method include the following steps:

[0076] Sort the data points in the data matrix [D v , GV1 v in ascending order according to the GV1 valve opening. Three adjacent points form a combination {(D v1 , GV1 v1 )(D v2 , GV1 v2 )(D v3 , GV1 v3 )}, (D v1 , GV1 v1 ) is the first point, (D v2 , GV1 v2 ) is the second point, (D v3 , GV1 v3 ) is the third point. Thus, a combination set can be obtained: {(D v1 , GV1 v1 )(D v2 , GV1 v2 )(D v3 , GV1 v3 )}, {(D v4 , GV1 v4 )(D v5 , GV1 v5 )(D v6 , GV1 v6 )}, …………………{(D vn , GV1 vn )(D vn+1 , GV1 vn+1 )(D vn+2 , GV1 vn+2)}。

[0077] For three adjacent points {(D vn , GV1 vn )(D vn+1 , GV1 vn+1 )(D vn+2 , GV1 vn+2 )}, after taking the median value, a new point is formed: (MID(D vn , D vn+1 , D vn+2 ), MID(GV1 vn , GV1 vn+1 , GV1 vn+2 ))), where MID is the median value function. After processing, a new data matrix can be obtained, and the number of data points in the new data matrix is one-third of the original.

[0078] The grouped three-point median method is cyclically used for the new data matrix. Each time the grouped three-point median method is used, the number of data points is reduced to one-third of the original until the valve flow characteristic curve of the GV1 valve in the single-valve operation mode of the unit can be obtained. The valve flow characteristic curve of the GV1 valve is the valve flow characteristic curve in the single-valve operation mode of the unit.

[0079] In one embodiment, for the single-valve mode, the flow optimization strategy includes taking the time required to successfully solve the relationship curve between the valve opening and the main steam flow as an optimization period. After this optimization, the next optimization period automatically starts to achieve the dynamic optimization adjustment of the steam turbine valve flow characteristic curve.

[0080] In one embodiment, when the valves of the steam turbine unit are in the multi-valve operation mode of the sequence valve method, such as the 4-valve method, the operation data of the steam turbine unit in the single-valve mode is collected in real time or with a delay. The collection period is 1 s, and it can also be adjusted accordingly according to the operation conditions of the steam turbine unit. The data to be collected includes active power, main steam pressure, main steam temperature, exhaust steam temperature of the steam turbine unit, exhaust steam pressure of the steam turbine unit, and the opening data of all high-pressure regulating valves. The data collection and processing steps are basically similar to the method disclosed in the above embodiment and will not be elaborated here. When there are 4 high-pressure regulating valves, the collected data is combined into the data matrix [P v , Y iv , T iv , Y ov , T ov , GV1 v , GV2 v , GV3 v , GV4 v , where P v is the active power data set, Y iv is the main steam pressure data set, T ivis the main steam temperature data set, Y ov is the exhaust steam pressure data set of the steam turbine unit, T ov is the exhaust steam temperature data set of the steam turbine unit, GV1 v is the opening data set of the No. 1 high-pressure regulating valve, GV2 v is the opening data set of the No. 2 high-pressure regulating valve, GV3 v is the opening data set of the No. 3 high-pressure regulating valve, GV4 v is the opening data set of the No. 4 high-pressure regulating valve.

[0081] Process the collected data to remove abnormal data, and the abnormal data includes any one or several of the data during the main fuel trip of the unit, the data during the auxiliary equipment fault load reduction, and / or the data during the frequent valve jitter.

[0082] Furthermore, segment and mark the data matrix. The data when the valve is in the overlapping area is marked as the overlapping section, and the other is marked as the non-overlapping section. Delete the overlapping section data and reconnect the non-overlapping section data together.

[0083] Since water vapor cannot be treated as an ideal gas, it is currently difficult to obtain accurate and practical equations that can be directly used in engineering calculations for the study of the thermodynamic properties of steam, including parameters such as the equation of state, specific heat capacity, internal energy, enthalpy, and entropy, by pure theoretical methods or pure experimental methods. For the convenience of application, engineering can obtain the required steam thermodynamic parameters such as the enthalpy value of isentropic expansion steam from the steam thermodynamic property database.

[0084] Given the main steam temperature and pressure, the main steam enthalpy value can be solved in real time; given the exhaust steam temperature and pressure of the steam turbine unit, the exhaust steam enthalpy value of the steam turbine unit can be solved in real time.

[0085] After obtaining the main steam flow rate, simplify the original data matrix into [D v ,GV1 v ,GV2 v ,GV3 v ,GV4 v , where D v is the calculated main steam flow rate data set.

[0086] Then split the simplified data matrix into [D v ,GV1 v , [D v ,GV2 v , [D v ,GV3 v , [D v ,GV4 v , and delete [D v ,GV1 vDelete the data points where the opening of the GV1 valve is 0 in [D v , GV2 v Delete the data points where the opening of the GV2 valve is 0 in [D v , GV3 v Delete the data points where the opening of the GV3 valve is 0 in [D v , GV4 v Delete the data points where the opening of the GV4 valve is 0 in [D. Thus, a data matrix composed of the opening of each valve and the main steam flow can be obtained, and make Figure 2 the scatter plot shown below.

[0087] Use the grouped three-point midpoint method to solve the flow characteristic curve of the valve. The steps are as follows:

[0088] For the data matrix [D v , GV1 v reorder the data points in it according to the increasing opening of the GV1 valve. Every three adjacent points form a combination {(D v1 , GV1 v1 )(D v2 , GV1 v2 )(D v3 , GV1 v3 )}, (D v1 , GV1 v1 ) is the first point, (D v2 , GV1 v2 ) is the second point, (D v3 , GV1 v3 ) is the third point. Thus, a set of combinations can be obtained: {(D v1 , GV1 v1 )(D v2 , GV1 v2 )(D v3 , GV1 v3 )}, {(D v4 , GV1 v4 )(D v5 , GV1 v5 )(D v6 , GV1 v6 )}, …………………{(D vn , GV1 vn )(D vn+1 , GV1 vn+1 )(D vn+2 , GV1 vn+2 )}.

[0089] For three adjacent points {(D vn , GV1 vn )(D vn+1 , GV1 vn+1)(D vn+2 , GV1 vn+2 )} After taking the median value, a new point is formed: (MID(D vn , D vn+1 , D vn+2 ), MID(GV1 vn , GV1 vn+1 , GV1 vn+2 ))). MID is the median value function. After processing, a new data matrix can be obtained, and the number of data points in the new data matrix is one-third of the original.

[0090] The grouped three-point median method is used cyclically on the new data matrix. Each time the grouped three-point median method is used, the number of data points is reduced to one-third of the original until the valve flow characteristic curve of the GV1 valve under the unit's sequential valve operation mode as shown in Figure 3 can be obtained, and the obtained flow characteristic curve has no overlapping section.

[0091] The grouped three-point median method is used cyclically on the data matrix [D v , GV2 v until the valve flow characteristic curve of the GV2 valve can be obtained, and the obtained flow characteristic curve has no overlapping section.

[0092] The grouped three-point median method is used cyclically on the data matrix [D v , GV3 v until the valve flow characteristic curve of the GV3 valve can be obtained, and the obtained flow characteristic curve has no overlapping section.

[0093] The grouped three-point median method is used cyclically on the data matrix [D v , GV4 v until the valve flow characteristic curve of the GV4 valve can be obtained, and the obtained flow characteristic curve has no overlapping section.

[0094] Thus, the flow characteristic curves of 4 high-pressure regulating valves can be obtained, but the flow characteristic curves obtained above do not include the flow characteristics when the valve opening is in the overlapping area.

[0095] Under the sequential valve mode, the flow characteristic curve of the valve overlapping section is optimized on the basis of the original unit parameters, and the flow characteristic curve of the valve overlapping section is adjusted and optimized according to the automatic control performance index and the primary frequency modulation comprehensive performance index of the thermal power unit.

[0096] Collect the automatic control performance index data and the primary frequency modulation comprehensive performance index data from the provincial dispatching main station side. The automatic control-related data that needs to be collected includes the automatic control adjustment rate index, the adjustment accuracy index, and the response time index. The primary frequency modulation-related index that needs to be collected is the integral power contribution index. Combine them into the data matrix [K1v , K2 v , K3 v , Q v , GV1 v , GV2 v , GV3 v , GV4 v , K1 v is the data set of the unit regulation rate index, K2 v is the data set of the unit regulation accuracy index, K3 v is the data set of the unit response time index, Q v is the data set of the integral power contribution index of primary frequency modulation.

[0097] The valve opening has a small flow rate and poor linearity in the overlap area, which is an important reason for the poor performance of the unit's automatic control and primary frequency modulation regulation. When the valve is in the overlap area position, the primary frequency modulation and automatic control responses of the unit often do not meet the requirements. For a unit with 4 high-pressure regulating valves, there are 3 overlap areas in the sequence valve mode, namely overlap area one, overlap area two, and overlap area three. The index data of the valve in the overlap area are extracted from the data matrix, and the valve overlap area is calculated using the index data. The range of the valve overlap area is adjusted according to the expansion coefficient.

[0098] If the primary frequency modulation or automatic control regulation of the unit in overlap area one is unqualified, the expansion coefficient m1 of overlap area one is calculated based on the index data and combined with expert experience, and the range of overlap area one is adjusted according to m1; if the primary frequency modulation and automatic control regulation of the unit in overlap area one meet the requirements, the range of overlap area one remains unchanged.

[0099] If the primary frequency modulation or automatic control regulation of the unit in overlap area two is unqualified, the expansion coefficient m2 of overlap area two is calculated based on the index data and combined with expert experience, and the range of overlap area two is adjusted according to m2; if the primary frequency modulation and automatic control regulation of the unit in overlap area two meet the requirements, the range of overlap area two remains unchanged.

[0100] If the primary frequency modulation or automatic control regulation of the unit in overlap area three is unqualified, the expansion coefficient m3 of overlap area three is calculated based on the index data and combined with expert experience, and the range of overlap area three is adjusted according to m3; if the primary frequency modulation and automatic control regulation of the unit in overlap area three meet the requirements, the range of overlap area three remains unchanged.

[0101] After the range of the valve overlap area is expanded, when the flow rate of the upper-stage valve is small in the later stage, the lower-stage valve can open earlier, which can improve the flow linearity of the valve overlap area, thereby optimizing the flow characteristic curve of the valve overlap area in the sequence valve mode.

[0102] In one embodiment, when the valves of the steam turbine unit are operating in a multi-valve operation mode of the sequence valve method, such as when operating in the M sequence valve methods, where M is a positive integer greater than 1 and not equal to 4, the operating data of the steam turbine unit in the single-valve mode is collected in real time or with a delay. The collection period is 1 s, and it can also be adjusted accordingly according to the operating conditions of the steam turbine unit. The data to be collected includes active power, main steam pressure, main steam temperature, exhaust steam temperature of the steam turbine unit, exhaust steam pressure of the steam turbine unit, and the opening data of all high-pressure regulating valves. The data collection and processing steps are basically the same as the method disclosed in the above single-valve mode operation embodiment, and will not be elaborated here. When there are M high-pressure regulating valves, the collected data is combined into a data matrix [P v ,Y iv ,T iv ,Y ov ,T ov ,GV1 v ,GV2 v ,GV3 v ,……GVM v , where P v is the active power data set, Y iv is the main steam pressure data set, T iv is the main steam temperature data set, Y ov is the exhaust steam pressure data set of the steam turbine unit, T ov is the exhaust steam temperature data set of the steam turbine unit, GV1 v is the opening data set of the No. 1 high-pressure regulating valve, GV2 v is the opening data set of the No. 2 high-pressure regulating valve, GV3 v is the opening data set of the No. 3 high-pressure regulating valve, ……GVM v is the opening data set of the No. M high-pressure regulating valve.

[0103] When the valves of the steam turbine unit are sequence valves and the number of valves is M, the steps for solving the flow characteristic curve of the steam turbine unit valves by the three-point midpoint method include the following steps:

[0104] Sort the data points in the data matrices [D v ,GV1 v , [D v ,GV2 v , [D v ,GV3 v , ……[D v ,GVM v in ascending order according to their corresponding valve openings, where D v represents the calculated main steam flow data set;

[0105] Take three points from each data matrix corresponding to each valve to form a combination, and obtain a combination set;

[0106] Take the median of three adjacent points to form a new point, obtaining a new data matrix;

[0107] Use the grouped three-point median method cyclically on the new data matrix until the valve flow characteristic curves of all valves in the turbine unit under the sequence valve mode are obtained.

[0108] Among them, the steps of using the three-point median method to solve the flow characteristic curve of the turbine unit valve also include: continuing to use the data before optimization for the flow characteristic curve of the valve overlapping section in the turbine unit sequence valve mode, using the automatic generation control performance index and the primary frequency modulation comprehensive performance index to form a data matrix, and adjusting and optimizing the flow characteristic curve of the valve overlapping section.

[0109] The automatic generation control performance index includes a regulation rate index data set, a regulation accuracy index data set, and a response time index data set. The primary frequency modulation comprehensive performance index includes an integral power contribution index data set. Combine the automatic generation control index and the primary frequency modulation related index into a data matrix [K1 v ,K2 v ,K3 v ,Q v ,GV1 v ,GV2 v ,GV3 v ,……GVM v , where K1 v is the regulation rate index data set of the unit, K2 v is the regulation accuracy index data set of the unit, K3 v is the response time index data set of the unit, and Q v is the integral power contribution index data set of primary frequency modulation.

[0110] When the turbine unit valve is a sequence valve and the number of valves is M, there are a total of M - 1 overlapping zones for the valves, namely overlapping zone 1, overlapping zone 2, …… overlapping zone (M - 1). When any of the automatic generation control index and / or primary frequency modulation related index in overlapping zone 1 to overlapping zone (M - 1) is unqualified, calculate the expansion coefficient of this overlapping zone, and use the expansion coefficient to adjust the range of this overlapping zone; when both the automatic generation control index and the primary frequency modulation related index in any of overlapping zone 1 to overlapping zone (M - 1) are qualified, then the range of this overlapping zone remains unchanged.

[0111] If the primary frequency modulation or automatic generation control regulation of the unit in overlapping zone one is unqualified, calculate the expansion coefficient m1 of overlapping zone one according to the index data and combined with expert experience, and adjust the range of overlapping zone one according to m1; if in overlapping zone one, the primary frequency modulation and automatic generation control regulation of the unit meet the requirements, then the range of overlapping zone one remains unchanged.

[0112] If the primary frequency regulation or automatic generation control regulation of the unit within the second overlapping area is unqualified, the expansion coefficient m2 of the second overlapping area is calculated based on the index data and combined with expert experience, and the range of the second overlapping area is adjusted according to m2; if the primary frequency regulation and automatic generation control regulation of the unit within the second overlapping area meet the requirements, the range of the second overlapping area remains unchanged.

[0113] If the primary frequency regulation or automatic generation control regulation of the unit within the third overlapping area is unqualified, the expansion coefficient m3 of the third overlapping area is calculated based on the index data and combined with expert experience, and the range of the third overlapping area is adjusted according to m3; if the primary frequency regulation and automatic generation control regulation of the unit within the third overlapping area meet the requirements, the range of the third overlapping area remains unchanged.

[0114] Until it is determined that the primary frequency regulation or automatic generation control regulation of the unit within the (M - 1) overlapping area is unqualified, the expansion coefficient m of the third overlapping area is calculated based on the index data and combined with expert experience M-1 According to m M-1 The range of the (M - 1) overlapping area is adjusted; or if the primary frequency regulation and automatic generation control regulation of the unit within the (M - 1) overlapping area meet the requirements, the range of the third overlapping area remains unchanged.

[0115] In one embodiment, for the sequential valve mode of multiple valves, the flow optimization strategy includes that after the range of the valve overlapping area is expanded, when the flow rate of the upper - level valve is small in the later stage, the lower - level valve can be opened earlier, which can improve the linearity of the flow rate in the valve overlapping area, thereby realizing the optimization of the flow rate characteristic curve in the sequential valve mode.

[0116] This method can optimize the valve flow rate characteristic curve under the normal operation of the unit. Without conducting on - site tests, it can achieve the effect of on - site tests. By continuously collecting and processing the data under the normal operation state of the unit, the goal of optimizing the valve flow rate characteristic curve can be achieved.

[0117] In one embodiment, a dynamic optimization system for the valve flow rate characteristic curve of a steam turbine unit is provided, including a collection unit and a calculation unit, where: the collection unit is used to collect the operation data of the steam turbine unit and solve the flow rate characteristic curve of the steam turbine unit at different valve openings;

[0118] The calculation unit is used to formulate a flow optimization strategy for the valves of the steam turbine unit by using the flow rate characteristic curve.

[0119] In one embodiment, a dynamic optimization device for the valve flow rate characteristic curve of a steam turbine unit is provided. The device is configured to collect the operation data of the steam turbine unit, solve the flow rate characteristic curve of the steam turbine unit at different valve openings, and formulate a flow characteristic optimization strategy for the valves by using the flow rate characteristic curve of the steam turbine unit valves, so as to dynamically optimize the valve flow rate characteristic curve.

[0120] In one embodiment, a device for dynamically optimizing the valve flow characteristic curve of a steam turbine unit is provided, which realizes the dynamic optimization of the valve flow characteristic curve of the steam turbine unit according to the steps in the method for dynamically optimizing the valve flow characteristic curve of the steam turbine unit in any of the above embodiments.

[0121] In one embodiment, a system for dynamically optimizing the valve flow characteristic curve of a steam turbine unit is provided, which realizes the dynamic optimization of the valve flow characteristic curve of the steam turbine unit according to the steps in the method for dynamically optimizing the valve flow characteristic curve of the steam turbine valve in any of the above embodiments.

[0122] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as Figure 4 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0123] Those skilled in the art can understand that Figure 4 the structure shown in

[0124] is only a block diagram of some structures related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0125] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0126] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0127] It should be noted that the above description is only some embodiments of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the (but not limited to) technical features with similar functions disclosed in the present application.

[0128] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain environments, multitasking and parallel processing may be advantageous. Similarly, although a number of specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present application. Certain features described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment can also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0129] Although the subject matter has been described in language specific to structural features and / or method logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. A dynamic optimization method for the flow characteristic curve of a steam turbine valve, characterized in that It includes the following steps: Collect the operation data of the steam turbine unit, including: collecting any one or several of the active power data set, main steam pressure data set, main steam temperature data set, exhaust steam pressure data set, exhaust steam temperature data set or valve opening data set of the steam turbine unit, and combining the collected data sets into a data matrix; calculating the main steam enthalpy value using the main steam pressure data set and the main steam temperature data set, calculating the exhaust steam enthalpy value of the steam turbine unit using the exhaust steam temperature data set and the exhaust steam pressure data set of the steam turbine unit, and calculating the main steam flow data set using the active power of the steam turbine unit, the absolute electrical efficiency, the main steam enthalpy value, and the exhaust steam enthalpy value of the steam turbine unit; Solve the flow characteristic curves of the steam turbine unit valves at different opening degrees, including: constructing the main steam flow data set and the steam turbine unit valve opening data matrix, and using the three-point midpoint method to solve the flow characteristic curves of the steam turbine unit valves; Formulate the flow optimization strategy for the steam turbine unit valves using the said flow characteristic curves.

2. The dynamic optimization method for the flow characteristic curve of the steam turbine valve according to claim 1, characterized in that The step of collecting the operation data of the steam turbine unit further includes: removing abnormal data, where the abnormal data includes any one or several of the data during the main fuel trip of the unit, the data during the auxiliary equipment fault load reduction, or the data during the frequent valve jitter.

3. The dynamic optimization method for the flow characteristic curve of the steam turbine valve according to claim 1, characterized in that The step of collecting the operation data of the steam turbine unit further includes: determining whether there is an overlapping area in the steam turbine unit valves. When there is an overlapping area, mark the overlapping area as the overlapping section, and mark the others as non-overlapping sections, delete the data in the overlapping section, and reconnect the data in the non-overlapping section together.

4. The dynamic optimization method for the flow characteristic curve of the steam turbine valve according to claim 1, characterized in that The calculation formula of the main steam flow data set is as follows: （1）； Among them, D is the main steam flow rate, with the unit of t / h; P is the active power of the steam turbine unit, with the unit of KW; h in is the main steam enthalpy value, with the unit of KJ / Kg; h out is the exhaust steam enthalpy value of the steam turbine unit, with the unit of KJ / Kg; η is the absolute electrical efficiency of the steam turbine unit, and its calculation formula is as follows: （2）； Among them, h s is the enthalpy value of the isentropic expansion steam, with the unit of KJ / Kg; η m is the mechanical efficiency, taking 0.99; η e is the generator efficiency, taking 0.

99.

5. The dynamic optimization method for the steam turbine valve flow characteristic curve according to claim 1, characterized in that, The step of constructing the main steam flow data set and the steam turbine unit valve opening data matrix includes: When the valves of the steam turbine unit are in the single-valve mode, the main steam flow data set and the steam turbine unit valve opening data matrix are constructed as: [D v , GV1 v , where D v represents the calculated main steam flow data set, and GV1 v represents the valve opening data set; The step of using the three-point midpoint method to solve the flow characteristic curves of the steam turbine unit valves includes: Arrange the data points in the data matrix in ascending order according to the opening degree of the steam turbine unit valves; Form a combination by taking three adjacent points in the data matrix to obtain a combination set; Take the median value of three adjacent points to form a new point to obtain a new data matrix; Use the grouped three-point midpoint method for the new data matrix in a loop until the valve flow characteristic curve in the single-valve mode of the steam turbine unit is obtained.

6. The dynamic optimization method for the flow characteristic curve of the steam turbine valve according to claim 1, wherein The step of constructing the main steam flow data set and the steam turbine unit valve opening data matrix further includes: When the valves of the steam turbine unit are sequence valves and the number of valves is M, construct the main steam flow data set for each valve and the steam turbine unit valve opening data matrix, which is represented as: [D v ,GV1 v ,GV2 v ,GV3 v ,GV4 v . Decompose it into [D v ,GV1 v . [D v ,GV2 v . [D v ,GV3 v . …… [D v ,GVM v . And delete the data points with an opening of 0 in the data matrix corresponding to each valve. M is a positive integer greater than 1, where D v represents the calculated main steam flow data set, and GV1 v ,GV2 v ,GV3 v , ……,GVM v are the opening data sets of valves 1 to valve M respectively.

7. The dynamic optimization method for the steam turbine valve flow characteristic curve according to claim 6, characterized in that, When the steam turbine unit valve is a sequence valve and the number of valves is M, the step of using the three-point midpoint method to solve the flow characteristic curves of the steam turbine unit valves includes: Sort the data points in the data matrices [D v , GV1 v , [D v , GV2 v , [D v , GV3 v ... [D v , GVM v in ascending order according to their corresponding valve openings; Take three points from the data matrix corresponding to each valve to form a combination to obtain a combination set; Take the median value of three adjacent points to form a new point to obtain a new data matrix; Use the grouped three-point midpoint method for the new data matrix in a loop until the valve flow characteristic curves of all valves in the sequence valve mode of the steam turbine unit are obtained.

8. The dynamic optimization method for the flow characteristic curve of a steam turbine valve according to claim 6, characterized in that The step of using the three-point midpoint method to solve the flow characteristic curves of the steam turbine unit valves further includes: using the data before optimization for the flow characteristic curves of the valve overlapping section in the sequence valve mode of the steam turbine unit, combining the automatic generation control performance index and the primary frequency modulation comprehensive performance index into a data matrix, and adjusting and optimizing the flow characteristic curves of the valve overlapping section.

9. The dynamic optimization method for the steam turbine valve flow characteristic curve according to claim 8, characterized in that, The steps of combining the automatic generation control performance index and the primary frequency regulation comprehensive performance index into a data matrix include: the automatic generation control performance index includes a regulation rate index data set, a regulation accuracy index data set, and a response time index data set, and the primary frequency regulation comprehensive performance index includes an integral power contribution index data set. Combining the automatic generation control performance index and the primary frequency regulation related index into a data matrix [K1 v , K2 v , K3 v , Q v , GV1 v , GV2 v , GV3 v , …… GVM v , where K1 v is the regulation rate index data set of the unit, K2 v is the regulation accuracy index data set of the unit, K3 v is the response time index data set of the unit, and Q v is the integral power contribution index data set of primary frequency regulation.

10. The dynamic optimization method for the steam turbine valve flow characteristic curve according to claim 9, characterized in that When the valves of the steam turbine unit are sequence valves and the number of valves is M, there are a total of M - 1 overlapping regions for the valves, namely overlapping region 1, overlapping region 2, …… overlapping region (M - 1). When the automatic generation control performance index and / or the primary frequency regulation related index in any one of the overlapping regions from overlapping region 1 to overlapping region (M - 1) is unqualified, calculate the expansion coefficient of this overlapping region, and use the expansion coefficient to adjust the range of this overlapping region; when both the automatic generation control performance index and the primary frequency regulation related index in any one of the overlapping regions from overlapping region 1 to overlapping region (M - 1) are qualified, the range of this overlapping region remains unchanged, where M is a positive integer greater than 1.

11. A dynamic optimization system for the valve flow characteristic curve of a steam turbine unit, characterized in that, It includes a collection unit and a calculation unit, where: The collection unit is used to collect the operation data of the steam turbine unit, including: collecting any one or several of the active power data set, main steam pressure data set, main steam temperature data set, exhaust steam pressure data set, exhaust steam temperature data set or valve opening data set of the steam turbine unit, and combining the collected data sets into a data matrix; calculating the main steam enthalpy value using the main steam pressure data set and the main steam temperature data set, calculating the exhaust steam enthalpy value of the steam turbine unit using the exhaust steam temperature data set and the exhaust steam pressure data set of the steam turbine unit, and calculating the main steam flow data set using the active power, absolute electrical efficiency, main steam enthalpy value, and exhaust steam enthalpy value of the steam turbine unit. It is also used to solve the flow characteristic curve at different valve openings of the steam turbine unit, including: constructing the main steam flow data set and the valve opening data matrix of the steam turbine unit, and using the three-point sampling method to solve the flow characteristic curve of the steam turbine unit. The calculation unit is used to formulate a flow optimization strategy for the valves of the steam turbine unit using the flow characteristic curve.

12. The dynamic optimization system for the flow characteristic curve of the valves of a steam turbine unit according to claim 11, characterized in that In the collection unit, the step of collecting the operation data of the steam turbine unit further includes: removing abnormal data, where the abnormal data includes any one or several of the data during the main fuel trip of the unit, the data during the auxiliary equipment fault load reduction, or the data during the frequent jitter of the valve.

13. The dynamic optimization system for the flow characteristic curve of the valves of a steam turbine unit according to claim 11, characterized in that In the collection unit, the step of collecting the operation data of the steam turbine unit further includes: determining whether there is an overlapping region for the valves of the steam turbine unit. When there is an overlapping region, mark the overlapping region as an overlapping section, and mark the others as non-overlapping sections, delete the data of the overlapping section, and reconnect the data of the non-overlapping section together.

14. The dynamic optimization system for the flow characteristic curve of the valves of a steam turbine unit according to claim 11, characterized in that In the collection unit, the calculation formula for the main steam flow data set is as follows: （1）； Among them, D is the main steam flow rate, with the unit of t / h; P is the active power of the steam turbine unit, with the unit of KW; h in is the main steam enthalpy value, with the unit of KJ / Kg; h out is the exhaust steam enthalpy value of the steam turbine unit, with the unit of KJ / Kg; η is the absolute electrical efficiency of the steam turbine unit, and its calculation formula is as follows: （2）； Among them, h s is the enthalpy value of isentropic expansion steam, with the unit of KJ / Kg; η m is the mechanical efficiency, taking 0.99; η e is the generator efficiency, taking 0.

99.

15. A medium on which a program is stored, characterized in that, When the program is executed by the processor, it implements the steps in the dynamic optimization method for the flow characteristic curve of the steam turbine valve as described in any one of claims 1 to 10.

16. An apparatus, comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the dynamic optimization method for the flow characteristic curve of the steam turbine valve as described in any one of claims 1 to 10.

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