Method, system and equipment for optimizing deep peak shaving sliding pressure of turboset and medium

Abstract

The invention provides a method, a system, equipment and a medium for optimizing deep peak regulation sliding pressure of a turboset. The method comprises the following steps: calculating a first influence coefficient # imgabs2 # based on an obtained design main steam temperature # imgabs0 # and an actual operation main steam temperature # imgabs1 #; on the basis of the obtained design reheating temperature # imgabs3 # and the obtained actual operation main steam temperature # imgabs4 #, a second influence coefficient # imgabs5 # is obtained through calculation; a back pressure correction coefficient # imgabs9 # is determined on the basis of the obtained designed exhaust steam pressure # imgabs6 #, the unit operation actual back pressure # imgabs7 # and the designed blocking back pressure # imgabs8 #, wherein the designed exhaust steam pressure # imgabs6 #, the unit operation actual back pressure # imgabs7 # and the designed blocking back pressure # imgabs8 # are obtained; correcting the sliding pressure curve based on the first influence coefficient # imgabs10 #, the second influence coefficient # imgabs11 # and the back pressure correction coefficient # imgabs12 # to obtain a corrected sliding pressure curve; and main steam pressure # imgabs13 # is obtained based on the corrected sliding pressure curve optimization, and high exhaust pressure # imgabs14 # is obtained based on the corrected sliding pressure curve optimization of the pressure ratio k. According to the method, the sliding pressure curve is corrected and optimized through the parameters of the steam turbine under deep peak regulation, and the operation efficiency of the steam turbine is improved.

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 circumstances of increasingly severe energy constraints and economic development, tapping the energy-saving potential of coal-fired units and optimizing the control of 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, which 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 sources, steam turbine units often operate in deep peak regulation, and then under low load, the actual operating main reheat steam temperature of the steam turbine unit cannot reach the rated value during actual use of the steam turbine unit, 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 when operating in deep peak regulation, and 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 optimized by the turbine plant are greatly deviated 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 deep peak-shaving of the steam turbine unit.

[0004] To achieve the above object, the present invention provides the following technical solutions: The present invention proposes a method for optimizing the deep peak regulation sliding pressure of a steam turbine unit, comprising the following steps: 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 .

[0005] Preferably, the obtained design main steam temperature and actual operating main steam temperature Calculate the first influence coefficient The calculation process is:

[0006] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0007] Preferably, the design reheat temperature based on the obtained and actual operating main steam temperature Calculate the second influence coefficient c 2 The calculation process is:

[0008] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0009] 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: 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 .

[0010] Preferably, the design exhaust steam pressure based on the acquisition and design blocking backpressure Calculate the reference back pressure The calculation process is:

[0011] in, is the design exhaust pressure, Blocking back pressure is designed.

[0012] 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: like < < ,but ; like < < ,but .

[0013] 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:

[0014] 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.

[0015] The present invention proposes a system for optimizing deep peak load regulation and sliding pressure of a steam turbine unit, comprising: 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 as follows: For the design main steam temperature based on and the actual operating main steam temperature Calculate the first influence coefficient ; The second processing unit is configured as follows: 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 as follows: For the 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: For outputting the main steam pressure and the high discharge pressure .

[0016] 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, wherein the processor implements the steps of the above-mentioned method for optimizing deep peak-shaving and sliding pressure of a steam turbine unit when executing the computer program.

[0017] 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.

[0018] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention proposes a method for optimizing the sliding pressure of a steam turbine unit for deep peak regulation. The method calculates a 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 deviating from the design value on the performance of the steam turbine. The second influence coefficient is obtained by comparing the design reheat temperature with the actual reheat temperature, detailing the change in the performance of the reheat system. The backpressure correction coefficient is determined in combination with the design exhaust pressure, the actual backpressure of the unit and the design blocking 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 corrected in a targeted manner, so that the corrected sliding pressure curve can more flexibly adapt to the real-time changes of the turbine operating parameters, thereby improving the thermal efficiency of the turbine and ensuring its stable operation under deep peak regulation conditions. The method is simple to implement and easy to control thermal engineering, reduces the heat consumption of the power plant operation, and keeps the thermal economy of the steam turbine unit in the best state.

[0019] 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 steam turbine while taking into account the safe operation requirements of the feedwater pump, so that the entire steam turbine system can achieve more coordinated and efficient operation during the deep peak regulation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flow chart of a method for optimizing the deep peak load sliding pressure of a steam turbine unit; Figure 2 A schematic diagram of a computer device provided by an embodiment of the present invention; Figure 3 The block diagram of a chip provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0022] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0023] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0024] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0026] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0027] See also Figure 1 The present invention proposes a method for optimizing the deep peak regulation sliding pressure of a steam turbine unit, comprising the following steps: 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 ; The calculation process is:

[0028] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0029] 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.

[0030] The calculation process is:

[0031] in, is the design main steam temperature / ℃, It is the actual operating main steam temperature / ℃.

[0032] Based on the obtained design exhaust pressure , Actual back pressure of unit operation and design blocking backpressure Determining the Backpressure Correction Factor ; Specifically, obtain the design exhaust pressure and design blocking backpressure , by designing the exhaust pressure and design blocking backpressure Calculate the reference back pressure ; The calculation process is:

[0033] in, is the design exhaust pressure, To design blocking back pressure; Get the actual back pressure of the unit , the actual back pressure of the unit Exhaust steam pressure , Reference back pressure and design blocking backpressure Make a comparison; like < < ,but ; like < < ,but

[0034] Then the back pressure correction factor is determined .

[0035] 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; The process of correcting the sliding pressure curve is:

[0036] in, is the first influence coefficient, is the second influence coefficient, is the back pressure correction factor, is the electrical load, and is the determined coefficient. The sliding pressure curve is provided by the turbine manufacturer. The conventional sliding pressure curve is , where the optimum main steam pressure is It is a linear function of electric power N, where N is the electric load and a and b are determined coefficients.

[0037] Optimization of main steam pressure based on 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 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 modifying the sliding pressure curve. When the main steam pressure The corresponding high discharge pressure is .

[0038] The method for optimizing the sliding pressure of deep peak regulation of steam turbine units proposed in the present invention is suitable for the state of stable load. 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. When the load change rate between the start and end time is less than 5%, the load is considered stable. This method allows the sliding pressure curve to change with the change of the deep peak regulation parameters of the unit to guide the operation of the unit. The method is simple to implement and easy to thermally control and edit. On the one hand, it reduces the heat consumption of the power plant operation, so that the thermal economy of the entire plant is always in the best state. On the other hand, it is easy to edit the logic control and improve the automation level of the power plant.

[0039] The present invention proposes a system for optimizing deep peak-shaving and sliding pressure of a steam turbine unit. The system can be used to implement the above-mentioned method for optimizing deep peak-shaving and sliding pressure of a steam turbine unit. Specifically, the system for optimizing deep peak-shaving and 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.

[0040] The input unit is 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 as follows: For the design main steam temperature based on and the actual operating main steam temperature Calculate the first influence coefficient ; The second processing unit is configured as follows: 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 as follows: For the 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: For outputting the main steam pressure and the high discharge pressure .

[0041] 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, and is 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: 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 Correct the sliding pressure curve to obtain a corrected sliding pressure curve; optimize the main steam pressure based on the corrected 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] In another embodiment of the present invention, the present invention also 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 the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and 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-VolatileMemory), such as at least one disk memory.

[0043] One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the method for optimizing deep peak load and sliding pressure of a steam turbine unit in the above embodiment; one or more instructions in the computer-readable storage medium may be loaded and executed by a processor as follows: 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 Correct the sliding pressure curve to obtain a corrected sliding pressure curve; optimize the main steam pressure based on the corrected 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 .

[0044] See also Figure 2The terminal device is a computer device. The computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the method for calculating the composition of fluid in the reservoir transformation wellbore in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the calculation system for the composition of fluid in the reservoir transformation wellbore in the embodiment are implemented. To avoid repetition, it is not described one by one here.

[0045] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 2 It 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.

[0046] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, central processing units, graphics processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, data processing logic based on quantum computing, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0047] 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.

[0048] 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 to be output.

[0049] Any reference to a memory, database or other medium used in the embodiments provided in the present application may include at least one of a non-volatile and a volatile memory. Non-volatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, a high-density embedded non-volatile memory, a resistive random access memory (ReRAM), a magnetic random access memory (MRAM), a ferroelectric random access memory (FRAM), a phase change memory (PCM), a graphene memory, etc. Volatile memory may include a random access memory (RAM) or an external cache memory, etc. As an illustration and not limitation, RAM may be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), etc.

[0050] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0051] See also Figure 3 , the terminal device is a chip, and 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 execute the above-mentioned generalizable monocular absolute depth map estimation method.

[0052] In addition, the chip 600 may further include a power supply component 626 and a communication component 650, wherein 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, for example, 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.

[0053] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0054] In addition, it should be understood that although this specification is described in accordance with the implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art. The above content is only to illustrate the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution according to the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A method for optimizing deep peak load 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 .

2. The method for optimizing deep peak load sliding pressure of a steam turbine unit according to claim 1, characterized in that: Based on 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 / ℃, It is the actual operating main steam temperature / ℃.

3. The method for optimizing deep peak load sliding pressure of a steam turbine unit according to claim 1, characterized in that: 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 / ℃, It is the actual operating main steam temperature / ℃.

4. The method for optimizing deep peak load sliding pressure of a steam turbine unit according to claim 1, characterized in that: 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 .

5. The method for optimizing deep peak load sliding pressure of a steam turbine unit according to claim 4, characterized in that: The design exhaust pressure based on the obtained and design blocking backpressure Calculate the reference back pressure The calculation process is: in, is the design exhaust pressure, Blocking back pressure is designed.

6. The method for optimizing the deep peak load sliding pressure of a steam turbine unit according to claim 1, characterized in that: 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 .

7. The method for optimizing the deep peak load sliding pressure of a steam turbine unit according to claim 1, characterized in that: 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.

8. A system for optimizing the deep peak load and sliding pressure of a steam turbine unit, 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 as follows: For the design main steam temperature based on and the actual operating main steam temperature Calculate the first influence coefficient ; The second processing unit is configured as follows: 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 as follows: For the 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: For outputting the main steam pressure and the high discharge pressure .

9. 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 the processor implements the steps of the method for optimizing the deep peak regulation and sliding pressure of a steam turbine unit as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: It includes a computer program, which, when executed by a processor, implements the steps of the method for optimizing the deep peak-shaving sliding pressure of a steam turbine unit as described in any one of claims 1 to 7.

Images