Control method and device of medium-low pressure cylinder communication valve, storage medium and electronic equipment

Abstract

The invention relates to a control method and device for a medium-low pressure cylinder communication valve, a storage medium and electronic equipment, and relates to the field of thermal power generation, and the method comprises the steps that target operation values of related operation parameters of the medium-low pressure cylinder communication valve under different working conditions are obtained, and the related operation parameters comprise the heating air exhaust pressure, the small machine valve opening degree and the small machine rotating speed; inputting the unit load and the target operation value into a dynamic fuzzy control neural network controller, obtaining an output result of the neural network controller, taking the output result as an opening degree reference value of the medium-low pressure cylinder communication valve, correcting the opening degree reference value based on fuzzy dynamic feedforward, and obtaining a corrected opening degree reference value of the medium-low pressure cylinder communication valve; and the corrected target opening degree value of the medium-low pressure cylinder communication valve is obtained, and the opening degree of the medium-low pressure cylinder communication valve is controlled according to the target opening degree value. According to the technical scheme, the target opening value of the medium-low pressure cylinder communication valve is determined based on the data mining and the output result of the neural network controller, the labor cost can be saved, and stable operation of a unit is guaranteed.

Description

Technical Field

[0001] The present disclosure relates to the field of thermal power generation, and in particular to a control method, device, storage medium and electronic equipment for a medium- and low-pressure cylinder connecting valve. Background Art

[0002] The medium- and low-pressure cylinder connecting valve is a special configuration of the steam turbine in a thermal power plant. It is mainly used to connect the medium-pressure cylinder and the low-pressure cylinder of the steam turbine. This configuration generally appears in large-capacity steam turbines, especially in thermal power generating units with supercritical and ultra-supercritical pressure levels. The overall thermal efficiency and flexibility of the steam turbine in the thermal power unit can be improved by configuring the medium- and low-pressure cylinder connecting valve. When the unit is operating with variable load, it is necessary to adjust the opening of the medium- and low-pressure cylinder connecting valve to change the amount of steam entering the low-pressure cylinder, thereby adjusting the output power of the steam turbine. In the prior art, the operating personnel generally make judgments and frequently perform operations such as parameter adjustment and equipment start and stop. The workload of the operating personnel in this process is large, and there are human subjective factors in the process, which increases the risk of safety problems during the operation of the unit. Summary of the invention

[0003] The purpose of the present disclosure is to provide a control method, device, storage medium and electronic equipment for a medium- and low-pressure cylinder connecting valve to solve the above-mentioned technical problems.

[0004] In order to achieve the above-mentioned object, according to a first aspect of an embodiment of the present disclosure, a control method for a medium- and low-pressure cylinder connecting valve is provided, which is applied to a thermal power unit, and the control method includes: Obtain target operating values ​​of relevant operating parameters of the medium and low pressure cylinder connecting valves under different working conditions; the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed; Inputting the unit load and the target operating value into a dynamic fuzzy control neural network controller, obtaining an output result of the neural network controller, and using the output result as an opening reference value of the medium and low pressure cylinder connecting valve; Correcting the reference opening value based on fuzzy dynamic feedforward, and obtaining the corrected target opening value of the medium and low pressure cylinder connecting valve; The opening of the medium- and low-pressure cylinder connecting valve is controlled according to the target opening value.

[0005] Optionally, the step of obtaining target operating values ​​of relevant operating parameters of the medium- and low-pressure cylinder connecting valves under different operating conditions includes: Selecting first historical operation data of relevant operation parameters of the medium and low pressure cylinder connecting valve under all working conditions from the historical operation data of the thermal power unit; Acquire second historical operation data of relevant operation parameters of the medium- and low-pressure cylinder connecting valve by performing data cleaning on the first historical operation data; the second historical operation data is operation data of the medium- and low-pressure cylinder connecting valve under steady-state conditions; The target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valves under the different operating conditions are determined in the second historical operating data; wherein the different operating conditions include different unit loads and different main steam pressures.

[0006] Optionally, determining the target operating values ​​of the operating parameters related to the medium and low pressure cylinder connecting valves under the different operating conditions in the second historical operating data includes: Acquire first data of heating extraction pressure, small unit valve opening and small unit speed under each of the different working conditions; Removing outliers from the first data to obtain second data; The second data is averaged to obtain target operating values ​​of relevant operating parameters of the medium- and low-pressure cylinder connecting valves.

[0007] Optionally, before inputting the unit load and the target operating value into the dynamic fuzzy control neural network controller, the control method includes: The historical operation data of the thermal power unit is input into the neural network model for training to obtain the dynamic fuzzy control neural network controller.

[0008] Optionally, the correction of the opening reference value based on fuzzy dynamic feedforward includes: The opening reference value is corrected based on at least one of the integral error compensation of fuzzy dynamic feedforward, the deviation protection of fuzzy dynamic feedforward and the emergency condition judgment of fuzzy dynamic feedforward.

[0009] Optionally, the integral error compensation based on fuzzy dynamic feedforward corrects the opening reference value, including: Obtaining the first actual data of heating extraction pressure, small unit valve opening and small unit speed during the operation of the unit; Performing a difference process on the first actual data and the target operating value to obtain a difference between the two, and integrating the difference to obtain an integral value; When the integral value reaches a set threshold value, the opening reference value is corrected based on integral error compensation.

[0010] Optionally, the deviation protection based on fuzzy dynamic feedforward corrects the reference value of the opening, including: Acquire the second actual data of the small machine speed during the operation of the unit; Calculate the deviation between the second actual data and the target operating value of the small machine speed to obtain a deviation value between the two; When the deviation value reaches a set threshold, the opening reference value is corrected based on deviation protection.

[0011] Optionally, the emergency operating condition judgment based on fuzzy dynamic feedforward and the correction of the opening reference value include: Obtain the third actual data of the opening of the small machine valve during the operation of the unit; When the deviation value reaches the set threshold value and the third actual data is greater than or equal to the set small unit valve opening, it is determined that the unit is operating in an emergency condition; Under the emergency condition, the opening reference value is corrected.

[0012] According to a second aspect of an embodiment of the present disclosure, a control device for a medium- and low-pressure cylinder connecting valve is provided, which is applied to a thermal power unit, and the control device includes: The first acquisition module is used to obtain target operating values ​​of relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions; the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed; A second acquisition module is used to input the unit load and the target operation value into a dynamic fuzzy control neural network controller, obtain an output result of the neural network controller, and use the output result as an opening reference value of the medium and low pressure cylinder connecting valve; A correction module, used for correcting the opening reference value based on fuzzy dynamic feedforward, and obtaining the corrected target opening value of the medium and low pressure cylinder connecting valve; A control module is used to control the opening of the medium and low pressure cylinder connecting valve according to the target opening value.

[0013] According to a third aspect of an embodiment of the present disclosure, a non-temporary computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in any one of the first aspect of the embodiment of the present disclosure are implemented.

[0014] According to a fourth aspect of an embodiment of the present disclosure, there is provided an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of any one of the methods described in the first aspect of the embodiments of the present disclosure.

[0015] In the above technical scheme, the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions are obtained, and the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed. The unit load and the target operating value are input into the dynamic fuzzy control neural network controller, and the output result of the neural network controller is obtained. The output result is used as the opening reference value of the medium and low pressure cylinder connecting valve. The opening reference value is corrected based on fuzzy dynamic feedforward, and the target opening value of the medium and low pressure cylinder connecting valve after correction is obtained. The opening of the medium and low pressure cylinder connecting valve is controlled according to the target opening value. Through the above technical scheme, the target opening value of the medium and low pressure cylinder connecting valve is determined based on data mining and the output results of the neural network controller, and the opening value of the medium and low pressure cylinder connecting valve with high accuracy can be obtained and automatically controlled during the operation of the thermal power unit, which can reduce the operation amount of the operating operator to a certain extent, thereby saving labor costs and ensuring the stable operation of the unit.

[0016] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment; Figure 2 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment; Figure 3 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment; Figure 4 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment; Figure 5 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment; Figure 6 is a block diagram of a control device for a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment; Figure 7 is a block diagram of an electronic device 700 according to an exemplary embodiment; Figure 8 is a block diagram of an electronic device 800 according to an exemplary embodiment. DETAILED DESCRIPTION

[0018] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0019] It should be noted that all actions of acquiring signals, information or data in the present disclosure are performed with authorization given by the owner of the corresponding device.

[0020] The medium- and low-pressure cylinder connecting valve is an important component of a large-capacity steam turbine. By connecting the medium-pressure cylinder and the low-pressure cylinder, the loss of steam in the intermediate reheating process can be reduced, thereby improving the thermal efficiency of the entire steam turbine. During the variable load operation of the unit, by adjusting the opening of the medium- and low-pressure cylinder connecting valve, the amount of steam entering the low-pressure cylinder can be changed, thereby adjusting the output power of the steam turbine. The control strategy of the medium- and low-pressure cylinder connecting valve is crucial to achieving an efficient, stable and reliable power generation process. In the existing actual operation process, there is often a problem of a large amount of operation for the staff due to the frequent operation of the medium- and low-pressure cylinder connecting valve, as well as the safety risks caused by the staff operating according to their own experience or subjective will, which affects the stable operation of the unit. The present disclosure provides a control method, device, storage medium and electronic device for a medium- and low-pressure cylinder connecting valve to solve the related technical problems existing in the prior art. The following is an explanation in conjunction with a specific embodiment.

[0021] Figure 1 is a flow chart of a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment, the method being applied to a thermal power unit, such as Figure 1 As shown, the control method includes the following steps.

[0022] In step S11, target operating values ​​of relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions are obtained; the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed.

[0023] Among them, the heating extraction pressure refers to the pressure when steam is extracted from the steam turbine for the heating system. This part of steam is usually extracted from the intermediate pressure cylinder or low pressure cylinder of the steam turbine. The selection of extraction pressure needs to be determined according to the needs of the heating system to ensure that sufficient heat is provided; the small machine usually refers to a small steam turbine used to drive auxiliary equipment, such as a feed water pump turbine. The small machine valve opening refers to the degree of opening of the valve that controls the steam flow entering the small steam turbine. The size of the small machine valve opening will affect the amount of steam entering the steam turbine, thereby affecting the speed and power output of the steam turbine; the small machine speed refers to the speed of the small steam turbine. The small machine speed will also affect the output power of the steam turbine. In order to maintain the stable operation and output power of the main steam turbine, it is necessary to adjust the opening of the intermediate and low pressure cylinder connecting valve to optimize the distribution of steam between the intermediate pressure cylinder and the low pressure cylinder.

[0024] In step S12, the unit load and the target operating value are input into a dynamic fuzzy control neural network controller, an output result of the neural network controller is obtained, and the output result is used as the opening reference value of the medium and low pressure cylinder connecting valve.

[0025] Among them, the dynamic fuzzy control neural network controller (DFCNNC) is a control strategy that combines dynamic system modeling, fuzzy logic control and artificial neural network. The controller is easy to understand and implement, can handle uncertainty and nonlinear problems, and has strong learning ability. By inputting parameters such as unit load, heating extraction pressure, small unit valve opening and small unit speed during unit operation into the dynamic fuzzy control neural network controller, the opening reference value of the medium and low pressure cylinder connecting valve can be obtained.

[0026] It can be understood that before inputting the unit load and the target operating value into the dynamic fuzzy control neural network controller, the control method also includes inputting the historical operating data of the thermal power unit into the neural network model for training to obtain the dynamic fuzzy control neural network controller.

[0027] In step S13, the reference opening value is corrected based on fuzzy dynamic feedforward, and the corrected target opening value of the medium and low pressure cylinder communication valve is obtained.

[0028] Among them, the correction method can include integral error compensation based on fuzzy dynamic feedforward, deviation protection of fuzzy dynamic feedforward and emergency condition judgment of fuzzy dynamic feedforward, etc.

[0029] In step S14, the opening of the medium- and low-pressure cylinder connecting valve is controlled according to the target opening value.

[0030] In the above technical scheme, the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions are obtained, and the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed. The unit load and the target operating value are input into the dynamic fuzzy control neural network controller, and the output result of the neural network controller is obtained. The output result is used as the opening reference value of the medium and low pressure cylinder connecting valve. The opening reference value is corrected based on fuzzy dynamic feedforward, and the target opening value of the medium and low pressure cylinder connecting valve after correction is obtained. The opening of the medium and low pressure cylinder connecting valve is controlled according to the target opening value. Through the above technical scheme, the target opening value of the medium and low pressure cylinder connecting valve is determined based on data mining and the output results of the neural network controller, and the opening value of the medium and low pressure cylinder connecting valve with high accuracy can be obtained and automatically controlled during the operation of the thermal power unit, which can reduce the operation amount of the operating operator to a certain extent, thereby saving labor costs and ensuring the stable operation of the unit.

[0031] Figure 2 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment. Figure 2 As shown, the step S11 of obtaining the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions may include the following steps: Step S111, selecting first historical operation data of relevant operation parameters of the medium and low pressure cylinder connecting valve under all working conditions from the historical operation data of the thermal power unit; Step S112, obtaining second historical operation data of relevant operation parameters of the medium- and low-pressure cylinder connecting valve by performing data cleaning on the first historical operation data; the second historical operation data is the operation data of the medium- and low-pressure cylinder connecting valve under steady-state conditions; Step S113, determining the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under the different operating conditions in the second historical operating data; wherein the different operating conditions include different unit loads and different main steam pressures.

[0032] For example, step S113 may include: (1) obtaining first data of heating extraction pressure, small unit valve opening, and small unit speed under each of the different working conditions; (2) obtaining second data after removing outliers from the first data; (3) The second data is averaged to obtain target operating values ​​of relevant operating parameters of the intermediate and low pressure cylinder connecting valve.

[0033] In a possible implementation manner, the process of acquiring the target operating value of the relevant operating parameter of the medium- and low-pressure cylinder connecting valve may include: The key parameters in the operation data of the thermal power unit are screened, and the historical data of the opening parameters of the medium and low pressure cylinder connecting valve under all working conditions are obtained. The steady-state operating conditions of the unit are determined according to the load fluctuation. The obtained historical data is cleaned to screen the steady-state operation data of the unit under all working conditions. Then, the steady-state operation data is mined according to the load, main steam pressure and other parameters. The historical data can be divided into multiple data packets according to the data mining results, and the central value of the heating extraction pressure, small machine valve opening and small machine speed data under each working condition is extracted (that is, the average is taken after removing the abnormal values), and the optimal database is established. The database contains the historical operating optimal values ​​under each working condition, and the data packet can be updated according to the working condition update of the unit, so as to improve the self-optimization ability of the control system. After obtaining the historical operating optimal values ​​of the relevant parameters, the unit load and the historical operating optimal values ​​are input into the dynamic fuzzy control neural network controller, and the output result can be used as the opening reference value of the medium and low pressure cylinder connecting valve.

[0034] Figure 3 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment. Figure 3 As shown, the correction of the opening reference value based on fuzzy dynamic feedforward in step S13 may include the following steps: Step S131, based on at least one of the integral error compensation of the fuzzy dynamic feedforward, the deviation protection of the fuzzy dynamic feedforward and the emergency condition judgment of the fuzzy dynamic feedforward, the reference value of the opening is corrected.

[0035] It can be understood that in order to improve the control accuracy, the numerical value can be corrected by superimposing multiple fuzzy dynamic feedforward values ​​on the basis of the opening reference value to obtain a corrected target opening value, wherein the correction method can include integral error compensation based on fuzzy dynamic feedforward, deviation protection of fuzzy dynamic feedforward and emergency operating condition judgment of fuzzy dynamic feedforward, etc.

[0036] Figure 4 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment. Figure 4 As shown, the integral error compensation based on fuzzy dynamic feedforward described in step S131, to correct the opening reference value, may include the following steps: Step S1311, obtaining first actual data of heating extraction pressure, small unit valve opening and small unit speed during the operation of the unit.

[0037] Step S1312: perform a difference process on the first actual data and the target operating value to obtain a difference between the two, and perform an integration process on the difference to obtain an integral value.

[0038] In step S1313, when the integral value reaches a set threshold, the opening reference value is corrected based on integral error compensation.

[0039] It is understandable that, considering the complex working conditions and dynamic characteristics of the thermal power unit, the integral error compensation based on fuzzy dynamic feedforward is added on the basis of the opening reference value. For example, the opening reference value of the medium and low pressure cylinder connecting valve is used as the output of the control system, and the heating extraction pressure, small machine valve opening and small machine speed action value of the actual system are obtained, and the difference is made with the corresponding target operation value and then integrated. When the error accumulates to a certain extent, the opening reference value of the medium and low pressure cylinder connecting valve is corrected.

[0040] Figure 5 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment. Figure 5 As shown, the deviation protection based on fuzzy dynamic feedforward described in step S131, to correct the reference value of the opening, may include the following steps: Step S1314, obtaining second actual data of the rotation speed of the small machine during the operation of the unit; Step S1315, performing deviation calculation between the second actual data and the target operating value of the small machine speed to obtain a deviation value between the two; In step S1316, when the deviation value reaches a set threshold, the opening reference value is corrected based on deviation protection.

[0041] For example, the deviation between the historical optimal value of the small machine speed and the real-time small machine speed of the unit is calculated. When the deviation accumulates to a certain extent, the fuzzy dynamic feedforward deviation protection is triggered to make a certain correction to the opening of the medium and low pressure cylinder connecting valve. The correction can also include the fuzzy dynamic feedforward deviation protection of the small machine speed, the opening of the small machine valve and the heating extraction pressure.

[0042] Figure 5 is a flow chart showing a method for controlling a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment. Figure 5 As shown, the emergency condition judgment based on fuzzy dynamic feedforward described in step S131, and the correction of the opening reference value, may include the following steps: Step S1317, obtaining third actual data of the opening of the valve of the small unit during the operation of the unit; Step S1318, when the deviation value reaches the set threshold value and the third actual data is greater than or equal to the set small unit valve opening, it is determined that the unit is operating in an emergency condition; Step S1319: Under the emergency condition, the opening reference value is corrected.

[0043] It is understandable that based on the safety needs of the special working conditions of the unit, an emergency judgment based on fuzzy dynamic feedforward is added. When the speed deviation of the small unit is large and the valve opening of the small unit is large, it can be determined that the system is in an emergency condition, triggering an emergency judgment based on fuzzy dynamic feedforward, and making emergency corrections to the medium and low pressure cylinder connecting valves.

[0044] In the above technical scheme, the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions are obtained, and the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed. The unit load and the target operating value are input into the dynamic fuzzy control neural network controller, and the output result of the neural network controller is obtained. The output result is used as the opening reference value of the medium and low pressure cylinder connecting valve. The opening reference value is corrected based on fuzzy dynamic feedforward, and the target opening value of the medium and low pressure cylinder connecting valve after correction is obtained. The opening of the medium and low pressure cylinder connecting valve is controlled according to the target opening value. Through the above technical scheme, the target opening value of the medium and low pressure cylinder connecting valve is determined based on data mining and the output results of the neural network controller, and the opening value of the medium and low pressure cylinder connecting valve with high accuracy can be obtained and automatically controlled during the operation of the thermal power unit, which can reduce the operation amount of the operating operator to a certain extent, thereby saving labor costs and ensuring the stable operation of the unit.

[0045] Figure 6 is a block diagram of a control device for a medium- and low-pressure cylinder connecting valve according to an exemplary embodiment, the control device is applied to a thermal power unit, such as Figure 6 As shown, the control device 600 includes: a first acquisition module 610 , a second acquisition module 620 , a correction module 630 and a control module 640 .

[0046] The first acquisition module 610 is used to obtain target operating values ​​of relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions; the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed; The second acquisition module 620 is used to input the unit load and the target operation value into the dynamic fuzzy control neural network controller, obtain the output result of the neural network controller, and use the output result as the opening reference value of the medium and low pressure cylinder connecting valve; The correction module 630 is used to correct the opening reference value based on fuzzy dynamic feedforward and obtain the corrected target opening value of the medium and low pressure cylinder connecting valve; The control module 640 is used to control the opening of the medium and low pressure cylinder connecting valve according to the target opening value.

[0047] Optionally, the first acquisition module 610 includes a screening submodule, a data cleaning submodule and a determination submodule; The screening submodule is used to screen the first historical operation data of the relevant operation parameters of the medium and low pressure cylinder connecting valve under all working conditions from the historical operation data of the thermal power unit; The data cleaning submodule is used to obtain second historical operation data of the relevant operation parameters of the medium and low pressure cylinder connecting valve by performing data cleaning on the first historical operation data; the second historical operation data is the operation data of the medium and low pressure cylinder connecting valve under steady state conditions; The determination submodule is used to determine the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under the different operating conditions in the second historical operating data; wherein the different operating conditions include different unit loads and different main steam pressures.

[0048] Optionally, the determination submodule is further used to: Acquire first data of heating extraction pressure, small unit valve opening and small unit speed under each of the different working conditions; Removing outliers from the first data to obtain second data; The second data is averaged to obtain target operating values ​​of relevant operating parameters of the medium- and low-pressure cylinder connecting valve.

[0049] Optionally, the control device further comprises a training module, which is used to: The historical operation data of the thermal power unit is input into the neural network model for training to obtain the dynamic fuzzy control neural network controller.

[0050] Optionally, the correction module 630 is further used to: The opening reference value is corrected based on at least one of the integral error compensation of the fuzzy dynamic feedforward, the deviation protection of the fuzzy dynamic feedforward and the emergency condition judgment of the fuzzy dynamic feedforward.

[0051] Optionally, the correction module 630 includes: an acquisition submodule, a processing submodule and a correction submodule; The acquisition submodule is used to acquire first actual data of heating extraction pressure, small unit valve opening and small unit speed during the operation of the unit; The processing submodule is used to perform a difference process between the first actual data and the target operating value to obtain a difference between the two, and perform an integration process on the difference to obtain an integral value; The correction submodule is used to correct the opening reference value based on the integral error compensation when the integral value reaches a set threshold.

[0052] Optionally, the correction module 630 further includes a deviation calculation submodule; The acquisition submodule is also used to acquire the second actual data of the rotation speed of the small machine during the operation of the unit; The deviation calculation submodule is used to calculate the deviation between the second actual data and the target operating value of the small machine speed to obtain a deviation value between the two; The correction submodule is further used to correct the opening reference value based on deviation protection when the deviation value reaches a set threshold.

[0053] Optionally, the correction module 630 further includes a judgment submodule; The acquisition submodule is also used to acquire the third actual data of the opening of the small unit valve during the operation of the unit; The judgment submodule is used to judge that the unit is operating in an emergency condition when the deviation value reaches a set threshold and the third actual data is greater than or equal to a set small unit valve opening; The correction submodule is also used to correct the opening reference value under the emergency condition.

[0054] In the above technical scheme, the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions are obtained, and the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed. The unit load and the target operating value are input into the dynamic fuzzy control neural network controller, and the output result of the neural network controller is obtained. The output result is used as the opening reference value of the medium and low pressure cylinder connecting valve. The opening reference value is corrected based on fuzzy dynamic feedforward, and the target opening value of the medium and low pressure cylinder connecting valve after correction is obtained. The opening of the medium and low pressure cylinder connecting valve is controlled according to the target opening value. Through the above technical scheme, the target opening value of the medium and low pressure cylinder connecting valve is determined based on data mining and the output results of the neural network controller, and the opening value of the medium and low pressure cylinder connecting valve with high accuracy can be obtained and automatically controlled during the operation of the thermal power unit, which can reduce the operation amount of the operating operator to a certain extent, thereby saving labor costs and ensuring the stable operation of the unit.

[0055] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0056] Figure 7 FIG. 7 is a block diagram of an electronic device 700 according to an exemplary embodiment. Figure 7 As shown, the electronic device 700 may include: a processor 701 , a memory 702 . The electronic device 700 may also include one or more of a multimedia component 703 , an input / output (I / O) interface 704 , and a communication component 705 .

[0057] The processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the control method of the medium and low pressure cylinder connecting valve. The memory 702 is used to store various types of data to support the operation of the electronic device 700. For example, these data may include instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, which is used to receive external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the above-mentioned other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0058] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned control method of the medium and low pressure cylinder connecting valves.

[0059] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the control method of the medium-low pressure cylinder connecting valve described above are implemented. For example, the computer-readable storage medium may be the memory 702 including the program instructions, and the program instructions may be executed by the processor 701 of the electronic device 700 to complete the control method of the medium-low pressure cylinder connecting valve described above.

[0060] Figure 8 8 is a block diagram of an electronic device 800 according to an exemplary embodiment. For example, the electronic device 800 may be provided as a server. Figure 8 The electronic device 800 includes a processor 822, which may be one or more, and a memory 832 for storing a computer program executable by the processor 822. The computer program stored in the memory 832 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 822 may be configured to execute the computer program to perform the control method of the medium and low pressure cylinder communication valve.

[0061] In addition, the electronic device 800 may further include a power supply component 826 and a communication component 850, wherein the power supply component 826 may be configured to perform power management of the electronic device 800, and the communication component 850 may be configured to implement communication of the electronic device 800, for example, wired or wireless communication. In addition, the electronic device 800 may further include an input / output (I / O) interface 858. The electronic device 800 may operate based on an operating system stored in the memory 832.

[0062] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the control method of the medium and low pressure cylinder connecting valves described above are implemented. For example, the non-transitory computer-readable storage medium may be the memory 832 including the program instructions, and the program instructions may be executed by the processor 822 of the electronic device 800 to complete the control method of the medium and low pressure cylinder connecting valves described above.

[0063] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above-mentioned control method of the medium and low pressure cylinder connecting valve when executed by the programmable device.

[0064] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0065] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0066] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A control method for a medium- and low-pressure cylinder connecting valve, characterized in that: Applied to thermal power generation units, the control method includes: Obtain target operating values ​​of relevant operating parameters of the medium and low pressure cylinder connecting valves under different working conditions; the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed; Inputting the unit load and the target operating value into a dynamic fuzzy control neural network controller, obtaining an output result of the neural network controller, and using the output result as an opening reference value of the medium and low pressure cylinder connecting valve; Correcting the reference opening value based on fuzzy dynamic feedforward, and obtaining the corrected target opening value of the medium and low pressure cylinder connecting valve; The opening of the medium- and low-pressure cylinder connecting valve is controlled according to the target opening value.

2. The control method according to claim 1, characterized in that: The step of obtaining target operating values ​​of relevant operating parameters of the medium- and low-pressure cylinder connecting valves under different working conditions includes: Selecting first historical operation data of relevant operation parameters of the medium and low pressure cylinder connecting valve under all working conditions from the historical operation data of the thermal power unit; Acquire second historical operation data of the relevant operation parameters of the medium- and low-pressure cylinder connecting valve by performing data cleaning on the first historical operation data; the second historical operation data is the operation data of the medium- and low-pressure cylinder connecting valve under steady-state conditions; The target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valves under the different operating conditions are determined in the second historical operating data; wherein the different operating conditions include different unit loads and different main steam pressures.

3. The control method according to claim 2, characterized in that: The step of determining the target operating values ​​of the operating parameters related to the medium and low pressure cylinder connecting valves under the different operating conditions in the second historical operating data includes: Acquire first data of heating extraction pressure, small unit valve opening and small unit speed under each of the different working conditions; Removing outliers from the first data to obtain second data; The second data is averaged to obtain target operating values ​​of relevant operating parameters of the medium- and low-pressure cylinder connecting valves.

4. The control method according to claim 1, characterized in that: Before inputting the unit load and the target operating value into the dynamic fuzzy control neural network controller, the control method includes: The historical operation data of the thermal power unit is input into the neural network model for training to obtain the dynamic fuzzy control neural network controller.

5. The control method according to claim 1, characterized in that: The method of correcting the opening reference value based on fuzzy dynamic feedforward includes: The opening reference value is corrected based on at least one of the integral error compensation of fuzzy dynamic feedforward, the deviation protection of fuzzy dynamic feedforward and the emergency condition judgment of fuzzy dynamic feedforward.

6. The control method according to claim 5, characterized in that: The integral error compensation based on fuzzy dynamic feedforward corrects the opening reference value, including: Obtaining the first actual data of heating extraction pressure, small unit valve opening and small unit speed during the operation of the unit; Performing a difference process on the first actual data and the target operating value to obtain a difference between the two, and integrating the difference to obtain an integral value; When the integral value reaches a set threshold value, the opening reference value is corrected based on integral error compensation.

7. The control method according to claim 5, characterized in that: The deviation protection based on fuzzy dynamic feedforward corrects the reference value of the opening, including: Acquire the second actual data of the small machine speed during the operation of the unit; Calculate the deviation between the second actual data and the target operating value of the small machine speed to obtain a deviation value between the two; When the deviation value reaches a set threshold, the opening reference value is corrected based on deviation protection.

8. The control method according to claim 5 or 7, characterized in that: The emergency operating condition judgment based on the fuzzy dynamic feedforward and the correction of the opening reference value include: Obtain the third actual data of the valve opening of the small unit during the operation of the unit; When the deviation value reaches the set threshold value and the third actual data is greater than or equal to the set small unit valve opening, it is determined that the unit is operating in an emergency condition; Under the emergency condition, the opening reference value is corrected.

9. A control device for a medium- and low-pressure cylinder connecting valve, characterized in that: Applied to a thermal power unit, the control device comprises: The first acquisition module is used to obtain the target operating values ​​of the relevant operating parameters of the medium and low pressure cylinder connecting valve under different working conditions; the relevant operating parameters include heating extraction pressure, small machine valve opening and small machine speed; A second acquisition module is used to input the unit load and the target operation value into a dynamic fuzzy control neural network controller, obtain an output result of the neural network controller, and use the output result as an opening reference value of the medium and low pressure cylinder connecting valve; A correction module, used for correcting the reference opening value based on fuzzy dynamic feedforward, and obtaining the corrected target opening value of the medium and low pressure cylinder connecting valve; A control module is used to control the opening of the medium and low pressure cylinder connecting valve according to the target opening value.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

11. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 8.

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