Method, system, device and medium for deep peak shaving sliding pressure optimization of steam turbine unit

Abstract

The application provides a method, system, device and medium for deep peak shaving sliding pressure optimization of a steam turbine unit, comprising the following steps: calculating a first influence coefficient based on obtained design main steam temperature and actual operation main steam temperature; calculating a second influence coefficient based on obtained design reheat temperature and actual operation main steam temperature; determining a back pressure correction coefficient based on obtained design exhaust pressure, actual back pressure of unit operation and design blocked back pressure; correcting a sliding pressure curve based on the first influence coefficient, the second influence coefficient and the back pressure correction coefficient to obtain a corrected sliding pressure curve; and optimizing the main steam pressure based on the corrected sliding pressure curve, and optimizing the high exhaust pressure based on the pressure ratio k correction sliding pressure curve. The method corrects and optimizes the sliding pressure curve through the parameters of the steam turbine under deep peak shaving, and improves the operation efficiency of the steam turbine.

Description

Technical Field

[0001] The present invention belongs to the technical field of steam turbine energy conservation, and in particular to a method, system, equipment and medium for optimizing deep peak regulation and sliding pressure of a steam turbine unit. Background Art

[0002] Under the increasingly severe situation of energy constraints and economic development, tapping the energy-saving potential of coal-fired units and optimizing and controlling operating parameters are the inevitable choices for power plants to save energy and reduce consumption. Sliding pressure optimization is one of the commonly used optimization methods for power plant steam turbines. At present, sliding pressure optimization is to adjust the steam turbine unit through the sliding pressure curve, where the sliding pressure curve is P opt =aN+b, optimal main steam pressure P opt It is a linear function of the electric power N, and is the main steam pressure optimization curve of the operating parameters of the steam turbine unit, such as the main steam temperature, reheat temperature, exhaust pressure, etc. at the rated value, and the sliding pressure curve is fixed and provided by the steam turbine manufacturer; however, with the widespread access to new energy, steam turbine units often operate in deep peak regulation, and then under low load, during the actual use of the steam turbine unit, the actual operating main reheat steam temperature of the steam turbine unit cannot reach the rated value, and the difference between the actual operating main reheat air temperature and the rated value is large. Therefore, the main steam pressure and high exhaust pressure after optimization using the sliding pressure curve given by the steam turbine manufacturer have a large deviation from the optimal data of the steam turbine unit during deep peak regulation operation, and thus the correctness of the optimized sliding pressure point cannot be guaranteed, so that the steam turbine unit cannot reach the optimal state. Summary of the Invention

[0003] In order to solve the problem that when the existing steam turbine unit is in deep peak-shaving operation, the main steam pressure and high exhaust pressure after the sliding pressure curve optimization provided by the turbine plant deviate greatly from the optimal data of the steam turbine unit in deep peak-shaving operation, so that the steam turbine unit cannot reach the optimal state, the present invention provides a method, system, equipment and medium for optimizing the sliding pressure of the steam turbine unit in deep peak-shaving operation.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] The present invention proposes a method for optimizing the deep peak regulation sliding pressure of a steam turbine unit, comprising the following steps:

[0006] Based on the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient ;

[0007] Based on the obtained design reheat temperature and actual operating main steam temperature Calculate the second influence coefficient ;

[0008] Based on the obtained design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor ;

[0009] Based on the first influence coefficient The second influence coefficient and the back pressure correction factor The sliding pressure curve is corrected to obtain a corrected sliding pressure curve;

[0010] The main steam pressure is obtained based on the modified sliding pressure curve optimization Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure .

[0011] Preferably, the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient The calculation process is:

[0012]

[0013] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0014] Preferably, the obtained design reheat temperature and actual operating main steam temperature Calculate the second influence coefficient c The calculation process of 2 is:

[0015]

[0016] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0017] Preferably, the exhaust steam pressure is based on the design , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor ,include:

[0018] Based on the obtained design exhaust pressure and design blocking backpressure Calculate the reference back pressure ;

[0019] The actual back pressure of the unit will be obtained The exhaust steam pressure , the reference back pressure and the design blocks back pressure Compare and determine the back pressure correction coefficient .

[0020] Preferably, the obtained design exhaust steam pressure and design blocking backpressure Calculate the reference back pressure The calculation process is:

[0021]

[0022] in, is the design exhaust pressure, Blocking back pressure is designed in.

[0023] Preferably, the actual back pressure of the unit is obtained The exhaust steam pressure , the reference back pressure and the design blocks back pressure Compare and determine the back pressure correction coefficient ,include:

[0024] like < < ,but ;

[0025] like < < ,but .

[0026] Preferably, based on the first influence coefficient The second influence coefficient and the back pressure correction factor The process of correcting the sliding pressure curve is:

[0027]

[0028] in, is the first influence coefficient, is the second influence coefficient, is the back pressure correction factor, is the electrical load, and is a determined coefficient.

[0029] The present invention proposes a system for optimizing deep peak regulation and sliding pressure of a steam turbine unit, comprising:

[0030] Input unit, configured as:

[0031] Used to input the design main steam temperature , Actual operating main steam temperature , Design reheat temperature , Actual operating main steam temperature , Design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure ;

[0032] The first processing unit is configured to:

[0033] For the design main steam temperature based on the and the actual operating main steam temperature Calculate the first influence coefficient ;

[0034] The second processing unit is configured to:

[0035] For the design reheat temperature based on the and the actual operating main steam temperature Calculate the second influence coefficient ;

[0036] The third processing unit is configured to:

[0037] For design exhaust pressure based on , the actual back pressure of the unit during operation and the design blocks back pressure Determining the Backpressure Correction Factor ;

[0038] The fourth processing unit is configured to:

[0039] For the first influence coefficient based on The second influence coefficient and the back pressure correction factor The sliding pressure curve is corrected to obtain a corrected sliding pressure curve;

[0040] The fifth processing unit is configured to:

[0041] Used to optimize the main steam pressure based on the modified sliding pressure curve Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure ;

[0042] Output unit, configured as:

[0043] Used to output the main steam pressure and the high discharge pressure .

[0044] The present invention proposes a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for optimizing deep peak-shaving and sliding pressure of a steam turbine unit are implemented.

[0045] The present invention proposes a computer-readable storage medium, comprising a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for optimizing deep peak-shaving and sliding pressure of a steam turbine unit.

[0046] Compared with the prior art, the present invention has the following beneficial technical effects:

[0047] The present invention proposes a method for optimizing the sliding pressure of a steam turbine unit for deep peak regulation. The method calculates the first influence coefficient by the difference between the design main steam temperature and the actual operating main steam temperature, effectively capturing the influence of the main steam temperature deviation from the design value on the performance of the steam turbine; obtains the second influence coefficient by comparing the design reheat temperature with the actual reheat temperature, details the change in the performance of the reheat system; determines the backpressure correction coefficient in combination with the design exhaust pressure, the actual backpressure of the unit and the design blocked backpressure, reflecting the comprehensive influence of the exhaust system state on the overall performance of the steam turbine; based on the first influence coefficient, the second influence coefficient and the backpressure correction coefficient, the original sliding pressure curve is targetedly corrected, so that the corrected sliding pressure curve can more flexibly adapt to the real-time changes of the turbine operating parameters, improve the thermal efficiency of the turbine, and ensure its stable operation under deep peak regulation conditions; the method is simple to implement and easy to control thermal engineering, reduces the operating heat consumption of the power plant, and keeps the thermal economy of the steam turbine unit in the best state at all times.

[0048] Furthermore, this method optimizes the high exhaust pressure corresponding to the main steam pressure through a preset pressure ratio, thereby ensuring the efficient operation of the turbine while taking into account the safe operation requirements of the feed water pump, so that the entire turbine system can achieve more coordinated and efficient operation during the deep peak regulation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flow chart of a method for optimizing the sliding pressure for deep peak regulation of a steam turbine unit;

[0050] Figure 2 A schematic diagram of a computer device provided by an embodiment of the present invention;

[0051] Figure 3 The block diagram of a chip provided according to one embodiment of the present invention is shown. DETAILED DESCRIPTION

[0052] In the following certain exemplary embodiments are simply described. As will be realized by those skilled in the art, the described embodiments can be modified in various different ways without departing from the spirit or scope thereof. Accordingly, the drawings and descriptions are to be regarded as illustrative in nature rather than restrictive.

[0053] In the description of the present application, it is to be understood that the orientations or positional relationships indicated by the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", and the like are based on the orientations or positional relationships shown in the drawings, and are merely intended to facilitate the description of the present application and simplify the description, and therefore cannot be understood as indicating or implying that the devices or elements indicated must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0054] In addition, the terms "first", "second", "third", etc. are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly specified and limited.

[0055] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting", "fixing", and the like should be understood in a broad sense, for example, can be fixed connection, can also be detachable connection, or integral; can be mechanical connection, can also be electrical connection, or communication; can be direct connection, or indirect connection through intermediate medium; can be the communication or interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0056] In the present application, unless otherwise explicitly specified and limited, "on" or "under" of the first feature to the second feature can include that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, "on", "above" and "on" of the first feature to the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. "Below", "under" and "under" of the first feature to the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the horizontal height of the first feature is less than that of the second feature.

[0057] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0058] See also Figure 1 The present invention proposes a method for optimizing the deep peak-shaving sliding pressure of a steam turbine unit, comprising the following steps:

[0059] Get the design main steam temperature and actual operating main steam temperature ; By designing the main steam temperature and actual operating main steam temperature Calculate the first influence coefficient ;

[0060] The calculation process is:

[0061]

[0062] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0063] Get the design reheat temperature and actual operating main steam temperature , by designing the reheat temperature and actual operating main steam temperature Calculate the second influence coefficient ; Among them, the reheat temperature under deep peak regulation of the unit must be less than the design value, so <1.

[0064] The calculation process is:

[0065]

[0066] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0067] Based on the obtained design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor ;

[0068] Specifically, obtain the design exhaust pressure and design blocking backpressure , by designing the exhaust pressure and design blocking backpressure Calculate the reference back pressure ;

[0069] The calculation process is:

[0070]

[0071] in, is the design exhaust pressure, To design blocking back pressure;

[0072] Get the actual back pressure of the unit , the actual back pressure of the unit Respectively at the exhaust steam pressure , reference back pressure and design blocking backpressure Make a comparison;

[0073] like < < ,but ;

[0074] like < < ,but

[0075] Then the back pressure correction coefficient is determined .

[0076] Based on the first influence coefficient , the second influence coefficient and back pressure correction factor The sliding pressure curve is corrected to obtain a corrected sliding pressure curve;

[0077] The process of correcting the sliding pressure curve is:

[0078]

[0079] in, is the first influence coefficient, is the second influence coefficient, is the back pressure correction factor, is the electrical load, and The sliding pressure curve is provided by the turbine manufacturer. The conventional sliding pressure curve is , where the optimal main steam pressure It is a linear function of electric power N, where N is the electric load and a and b are determined coefficients.

[0080] Main steam pressure is obtained based on the modified sliding pressure curve optimization Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure Among them, the stability and reliability of the feedwater pump operation must be considered under deep peak regulation. Too low main steam pressure drop affects the output of the steam-driven feedwater pump. The ratio of the high-pressure cylinder exhaust pressure to the main steam pressure is set to k under the design state (for a given unit, this value is a constant). The main steam pressure is obtained by optimizing the modified sliding pressure curve. When the main steam pressure The corresponding high discharge pressure is .

[0081] The method for optimizing sliding pressure during deep peak-shaving of steam turbine units proposed in this invention is applicable to stable load conditions. When the load is increased or decreased, the main steam pressure is selected according to the original thermal logic. A scan is performed every ten minutes, and when the load change rate between the start and end times is less than 5%, the load is considered stable. This method causes the sliding pressure curve to change with the unit's deep peak-shaving parameters to guide unit operation. This method is simple to implement and easy to thermally control and edit. On the one hand, it reduces the operating heat consumption of the power plant, ensuring that the thermal economy of the entire plant is always in an optimal state. On the other hand, it is easy to edit logical control, thereby improving the automation level of the power plant.

[0082] The present invention proposes a system for optimizing the deep peak-shaving sliding pressure of a steam turbine unit. The system can be used to implement the above-mentioned method for optimizing the deep peak-shaving sliding pressure of a steam turbine unit. Specifically, the system for optimizing the deep peak-shaving sliding pressure of a steam turbine unit includes an input unit, a first processing unit, a second processing unit, a third processing unit, a fourth processing unit, a fifth processing unit and an output unit.

[0083] The input unit is configured as follows:

[0084] Used to input the design main steam temperature , Actual operating main steam temperature , Design reheat temperature , Actual operating main steam temperature , Design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure ;

[0085] The first processing unit is configured to:

[0086] For the design main steam temperature based on the and the actual operating main steam temperature Calculate the first influence coefficient ;

[0087] The second processing unit is configured to:

[0088] For the design reheat temperature based on the and the actual operating main steam temperature Calculate the second influence coefficient ;

[0089] The third processing unit is configured to:

[0090] For design exhaust pressure based on , the actual back pressure of the unit during operation and the design blocks back pressure Determining the Backpressure Correction Factor ;

[0091] The fourth processing unit is configured to:

[0092] For the first influence coefficient based on The second influence coefficient and the back pressure correction factor The sliding pressure curve is corrected to obtain a corrected sliding pressure curve;

[0093] The fifth processing unit is configured to:

[0094] Used to optimize the main steam pressure based on the modified sliding pressure curve Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure ;

[0095] Output unit, configured as:

[0096] Used to output the main steam pressure and the high discharge pressure .

[0097] In another embodiment of the present invention, a computer device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the method for deep peak regulation and sliding pressure optimization of steam turbine units, including:

[0098] Based on the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient ; Based on the obtained design reheat temperature and actual operating main steam temperature Calculate the second influence coefficient ; Based on the obtained design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor Based on the first influence coefficient The second influence coefficient and the back pressure correction factor Modify the sliding pressure curve to obtain a modified sliding pressure curve; optimize the main steam pressure based on the modified sliding pressure curve Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure .

[0099] In another embodiment of the present invention, the present invention further provides a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the terminal device and, of course, extended storage media supported by the terminal device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (Non-Volatile Memory), such as at least one disk memory.

[0100] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the method for optimizing deep peak-shaving sliding pressure of a steam turbine unit in the above embodiment; the processor may load and execute the following steps:

[0101] Based on the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient ; Based on the obtained design reheat temperature and actual operating main steam temperature Calculate the second influence coefficient ; Based on the obtained design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor Based on the first influence coefficient The second influence coefficient and the back pressure correction factor Modify the sliding pressure curve to obtain a modified sliding pressure curve; optimize the main steam pressure based on the modified sliding pressure curve Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure .

[0102] See also Figure 2 The terminal device is a computer device. Computer device 60 in this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in memory 62 and executable by processor 61. When executed by processor 61, computer program 63 implements the method for calculating fluid composition in a reservoir-stimulated wellbore according to the embodiment. To avoid repetition, this description is omitted here. Alternatively, when executed by processor 61, computer program 63 implements the functions of various models / units in the system for calculating fluid composition in a reservoir-stimulated wellbore according to the embodiment. To avoid repetition, this description is omitted here.

[0103] The computer device 60 may be a desktop computer, a notebook computer, a PDA, a cloud server, or other computing devices. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. It will be understood by those skilled in the art that Figure 2 This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0104] The processor 61 may be a central processing unit (CPU), other general-purpose processors, central processing units (CPUs), graphics processors (GPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), other programmable logic devices, discrete gate or transistor logic devices, quantum computing-based data processing logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0105] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 60.

[0106] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is about to be output.

[0107] Any reference to memory, database, or other media used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0108] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0109] See also Figure 3 The terminal device is a chip. The chip 600 of this embodiment includes a processor 622, which may be one or more, and a memory 632 for storing a computer program executable by the processor 622. The computer program stored in the memory 632 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 622 may be configured to execute the computer program to perform the above-mentioned generalizable monocular absolute depth map estimation method.

[0110] In addition, the chip 600 may further include a power supply component 626 and a communication component 650. The power supply component 626 may be configured to perform power management of the chip 600, and the communication component 650 may be configured to implement communication, such as wired or wireless communication, of the chip 600. In addition, the chip 600 may further include an input / output interface 658. The chip 600 may operate based on an operating system stored in the memory 632.

[0111] The foregoing merely illustrates the principles of the application and application of its leading features. This application is not limited to the exact details shown above, and various modifications can be made to the embodiments described without departing from the spirit or scope of the application. Accordingly, no matter from which point of view, the embodiments should be considered as exemplary and non-limiting, and the scope of the application is defined by the claims appended hereto rather than by the description preceding them, thus all changes falling within the meaning and range of equivalency of the claims' elements are intended to be embraced therein. No reference sign in the claims shall be construed as limiting the claim being referenced.

[0112] Furthermore, it should be understood that although the description above is based on embodiments, not every embodiment contains only one independent technical solution, and the description above is only for the sake of clarity, and those skilled in the art should consider the description as a whole, and the technical solutions in each embodiment can be properly combined to form other embodiments that those skilled in the art can understand. The above is only to illustrate the technical idea of the present application, and cannot limit the protection scope of the present application. Any modification made on the basis of the technical idea of the present application and technical solutions shall fall within the protection scope of the claims of the present application.

Claims

1. A method for optimizing deep peak-shaving sliding pressure of a steam turbine unit, characterized in that: The following steps are involved: Based on the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient ; Based on the obtained design reheat temperature and actual operating main steam temperature Calculate the second influence coefficient ; Based on the obtained design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor ; Based on the first influence coefficient The second influence coefficient and the back pressure correction factor The sliding pressure curve is corrected to obtain a corrected sliding pressure curve; The main steam pressure is obtained based on the modified sliding pressure curve optimization Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure ; Wherein, the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient The calculation process is: in, is the design main steam temperature / ℃, is the actual operating main steam temperature / ℃; The obtained design reheat temperature and actual operating main steam temperature Calculate the second influence coefficient c The calculation process of 2 is: in, is the design main steam temperature / ℃, is the actual operating main steam temperature / ℃; Based on the design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor ,include: Based on the obtained design exhaust pressure and design blocking backpressure Calculate the reference back pressure ; The actual back pressure of the unit will be obtained The exhaust steam pressure , the reference back pressure and the design blocks back pressure Compare and determine the back pressure correction coefficient ; The obtained design exhaust pressure and design blocking backpressure Calculate the reference back pressure The calculation process is: in, is the design exhaust pressure, To design blocking back pressure; The actual back pressure of the unit will be obtained The exhaust steam pressure , the reference back pressure and the design blocks back pressure Compare and determine the back pressure correction coefficient ,include: like < < ,but ; like < < ,but ; Based on the first influence coefficient The second influence coefficient and the back pressure correction factor The process of correcting the sliding pressure curve is: in, is the first influence coefficient, is the second influence coefficient, is the back pressure correction factor, is the electrical load, and is a determined coefficient.

2. A system for optimizing deep peak-shaving sliding pressure of a steam turbine unit, which implements the method for optimizing deep peak-shaving sliding pressure of a steam turbine unit according to claim 1, characterized in that: include: Input unit, configured as: Used to input the design main steam temperature , Actual operating main steam temperature , Design reheat temperature , Actual operating main steam temperature , Design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure ; The first processing unit is configured to: For the design main steam temperature based on the and the actual operating main steam temperature Calculate the first influence coefficient ; The second processing unit is configured to: For the design reheat temperature based on the and the actual operating main steam temperature Calculate the second influence coefficient ; The third processing unit is configured to: For design exhaust pressure based on , the actual back pressure of the unit during operation and the design blocks back pressure Determining the Backpressure Correction Factor ; The fourth processing unit is configured to: For the first influence coefficient based on The second influence coefficient and the back pressure correction factor The sliding pressure curve is corrected to obtain a corrected sliding pressure curve; The fifth processing unit is configured to: Used to optimize the main steam pressure based on the modified sliding pressure curve Based on the preset pressure ratio k, the modified sliding pressure curve is optimized to obtain the high exhaust pressure corresponding to the main steam pressure ; Output unit, configured as: Used to output the main steam pressure and the high discharge pressure .

3. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for optimizing deep peak-shaving sliding pressure of a steam turbine unit according to claim 1 are implemented.

4. A computer-readable storage medium, characterized in that The method comprises a computer program, which, when executed by a processor, implements the steps of the method for optimizing deep peak-shaving sliding pressure of a steam turbine unit according to claim 1.

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