Natural ventilation direct air cooling system control method, system and electronic device

Abstract

The present application belongs to the technical field of generator set control, and relates to a control method and system of a natural ventilation direct air cooling system and an electronic device. According to the steam exhaust flow of the unit, the current ambient temperature, ambient wind speed, ambient wind direction, the state of the cooling triangle inlet valve of the air cooling system, and the current louver opening, the unit back pressure value is obtained in combination with the direct air cooling system big data model; the louver rough opening is obtained according to the unit optimal back pressure set value and the unit back pressure value; the louver opening is obtained according to the louver rough opening, the set value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet; and the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve are obtained according to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening and the current ambient temperature of the air cooling system. The present application can accurately adjust the opening of the louver, the state of the cooling triangle inlet valve and the state of the cooling triangle bypass valve.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of generator set control, and relates to a control method and system of a natural ventilation direct air cooling system and an electronic device. BACKGROUND

[0002] As a key component of the cooling link of a thermal power plant, the performance of a power station air cooling system directly affects the operation efficiency and stability of the power station. At present, there are three types of power station air cooling systems, namely, a direct air cooling system, an indirect air cooling system and a natural ventilation direct air cooling system.

[0003] The direct air cooling system has been widely used in many power stations due to its relatively simple structure and small footprint. It realizes cooling by direct contact heat exchange between air and steam, can efficiently complete heat transfer and meet the basic cooling demand of the power station. The indirect air cooling system reduces the pollution of air to the cooling medium to a certain extent and ensures the water quality of the cooling water due to the characteristic that the cooling medium does not directly contact with air, and plays an important role in some power stations with high water quality requirements. After years of development and optimization, the two systems have relatively mature technology and become the mainstream choice of the current power station air cooling system.

[0004] Although the natural ventilation direct air cooling system has potential advantages such as energy saving and low operation cost, it is currently only applied to a few small experimental power generating units. When the natural ventilation direct air cooling system is implemented in a large thermal power unit, the air cooling heat dissipation performance of the system is easily affected by the wind speed, wind direction and ambient temperature after the arrangement of the surrounding buildings of the cooling tower is determined. Especially in the case of low temperature in winter, the anti-freezing problem of each cooling triangle becomes the key to the safe and stable operation of the system. Too low temperature may cause the water in the cooling triangle to freeze, resulting in equipment damage, pipe rupture and other serious consequences, which not only affects the normal operation of the system, but also may cause safety accidents and bring huge economic losses to the power station. SUMMARY

[0005] The application aims to provide a control method, system and electronic device of a natural ventilation direct air cooling system to solve the technical problems that the air cooling heat dissipation performance of the natural ventilation direct air cooling system is easily affected by the wind speed, wind direction and ambient temperature when the system is applied in a large thermal power unit, and each cooling triangle is prone to supercooling or frost heaving in the case of low temperature.

[0006] In order to achieve the above-mentioned purpose, the application adopts the following technical solutions:

[0007] In a first aspect, the application provides a control method of a natural ventilation direct air cooling system, comprising the following steps:

[0008] According to the unit exhaust flow, the current ambient temperature, the ambient wind speed, the ambient wind direction, the state of the cooling triangle inlet valve and the current louver opening degree of the air cooling system, and the unit back pressure value is obtained by combining the direct air cooling system big data model;

[0009] According to the unit optimal back pressure set value and the unit back pressure value, the louver coarse opening degree is obtained.

[0010] According to the louver coarse opening degree, the set value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet, the louver opening degree is obtained.

[0011] According to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening degree and the current ambient temperature of the air cooling system, the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve are obtained.

[0012] In a second aspect, the present application provides a natural ventilation direct air cooling system control system, comprising:

[0013] The unit back pressure value acquisition module is used for obtaining the unit back pressure value according to the unit exhaust flow, the current ambient temperature, the ambient wind speed, the ambient wind direction, the state of the cooling triangle inlet valve and the current louver opening degree of the air cooling system, and combining the direct air cooling system big data model.

[0014] The louver coarse opening degree acquisition module is used for obtaining the louver coarse opening degree according to the unit optimal back pressure set value and the unit back pressure value.

[0015] The louver opening degree acquisition module is used for obtaining the louver opening degree according to the louver coarse opening degree, the set value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet.

[0016] The cooling triangle inlet valve state acquisition module is used for obtaining the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve according to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening degree and the current ambient temperature of the air cooling system.

[0017] In a third aspect, the present application provides an electronic device, comprising: a processor; a memory, the electronic device is used for storing computer program instructions; characterized by, when the computer program is executed, the control method of the natural ventilation direct air cooling system is realized.

[0018] Compared with the prior art, the present application has the following beneficial effects:

[0019] The application obtains the unit back pressure value according to the unit exhaust flow, the current ambient temperature, the ambient wind speed, the ambient wind direction, the state of the cooling triangle inlet valve and the current louver opening degree of the air cooling system, and combines the direct air cooling system big data model. Through comprehensive consideration of multiple factors, the current unit back pressure condition is calculated more accurately to provide key basic data for subsequent adjustment. According to the unit optimal back pressure set value and the unit back pressure value, the louver rough opening degree is obtained to establish the relationship between the actual back pressure and the optimal back pressure, which provides an initial and reasonable reference value for the accurate adjustment of the louver opening degree. On the basis of the louver rough opening degree, the louver opening degree is obtained according to the louver rough opening degree, the cooling triangle outlet temperature set value and the cooling triangle outlet temperature, so that the louver opening degree is adjusted more finely to better adapt to the actual temperature demand of the cooling triangle. According to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening degree and the current ambient temperature of the air cooling system, the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve are obtained to facilitate the accurate control of the steam flow into the cooling triangle and the bypass steam flow. The application can effectively solve the problem that the air cooling heat dissipation performance of the natural ventilation direct air cooling system is easily affected by the wind speed, the wind direction and the ambient temperature when applied in large-scale thermal power generating units, and can effectively solve the technical problem that each cooling triangle is prone to overcooling or frost heaving under low temperature conditions. According to the real-time environmental parameters and system operation parameters, the louver opening degree, the state of the cooling triangle inlet valve and the state of the cooling triangle bypass valve can be accurately adjusted to optimize the heat dissipation performance of the air cooling system, ensure the safe and stable operation of the system under various working conditions, and reduce the occurrence of safety accidents such as equipment damage and pipeline rupture.

[0020] The system of the application comprises a unit back pressure value acquisition module, a louver rough opening degree acquisition module, a louver opening degree acquisition module and a cooling triangle inlet valve state acquisition module. The unit back pressure value acquisition module is used to acquire the unit back pressure value according to the unit exhaust flow, the current ambient temperature, the ambient wind speed, the ambient wind direction, the state of the cooling triangle inlet valve and the current louver opening degree of the air cooling system, and combines the direct air cooling system big data model. The louver rough opening degree acquisition module is used to acquire the louver rough opening degree according to the unit optimal back pressure set value and the unit back pressure value. The louver opening degree acquisition module is used to acquire the louver opening degree according to the louver rough opening degree, the cooling triangle outlet temperature set value and the cooling triangle outlet temperature. The cooling triangle inlet valve state acquisition module is used to acquire the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve according to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening degree and the current ambient temperature of the air cooling system. The modules cooperate with each other to accurately adjust the louver opening degree, the state of the cooling triangle inlet valve and the state of the cooling triangle bypass valve according to the real-time environmental parameters and system operation parameters.

[0021] The electronic equipment can also accurately adjust the opening degree of the louver, the state of the cooling triangle inlet valve and the state of the cooling triangle bypass valve according to real-time environmental parameters and system operation parameters. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 Method flowchart of the embodiment of the present application;

[0023] Figure 2 System module diagram of the embodiment of the present application;

[0024] Figure 3 Direct air cooling system configuration schematic diagram of the embodiment of the present application;

[0025] Figure 4 Basic control logic diagram of the embodiment of the present application;

[0026] Figure 5 Direct air cooling system big data model establishment logic diagram of the embodiment of the present application;

[0027] Figure 6 Louver control logic diagram of the embodiment of the present application;

[0028] Figure 7 Switch valve control logic diagram of the embodiment of the present application.

[0029] Wherein: 1, steam turbine condenser; 2, unit back pressure measurement unit; 3, exhaust flow measurement unit; 4, condensate tank; 5, cooling triangle; 6, louver; 7, cooling triangle inlet valve; 8, cooling triangle bypass valve; 9, cooling triangle outlet temperature measurement unit; 10, cooling triangle inlet temperature measurement unit; 11, environmental temperature measurement unit; 12, environmental wind speed measurement unit; 13, environmental wind direction measurement unit. DETAILED DESCRIPTION

[0030] In order to enable personnel in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work should belong to the protection scope of the present application.

[0031] It is to be understood that the terms "first", "second", and the like, used in the description and the appended claims of this application, are used as identifiers for distinguished objects and are not necessarily to be construed as describing a particular chronological or sequential order. It is to be understood that the use of the terms first, second, etc., are merely intended to distinguish between two distinct objects for the purpose of use and description and are not necessarily intended to denote chronological or sequential order. Furthermore, use of the terms to include, and / or the like, are intended to cover a non-exclusive inclusion such that any process, method, article, or apparatus that includes a collection of steps or units are not necessarily limited to those steps or units that are explicitly listed, but can include other not explicitly listed steps or units.

[0032] The application will be further described in conjunction with the drawings:

[0033] Embodiment 1

[0034] Referring to Figure 1 The application discloses a control method of a natural ventilation direct air cooling system, comprising the following steps:

[0035] S1, according to the unit steam flow, the current ambient temperature, the ambient wind speed, the ambient wind direction, the state of the cooling triangle inlet valve and the current louver opening degree of the air cooling system, the unit back pressure value is obtained by combining the direct air cooling system big data model. By comprehensively considering various factors, the optimal back pressure value under the current boundary condition and working condition of the unit is calculated, which provides key basic data for subsequent adjustment, so that the subsequent operation can be based on accurate back pressure information, which helps to more accurately control the operation of the air cooling system.

[0036] In the embodiment of the application, the direct air cooling system big data model adopts a neural network or a support vector machine, the input of the direct air cooling system big data model is air cooling system historical data, and the output is a generator set back pressure value, and the specific process is as follows:

[0037] The air cooling system historical data is input into the initial direct air cooling system big data model to obtain the generator set back pressure value.

[0038] The unit back pressure historical value and the generator set back pressure value are subtracted and the absolute value is taken to obtain a second back pressure difference value.

[0039] If the second back pressure difference value is greater than or equal to a second back pressure difference set value, the direct air cooling system big data model is continuously trained.

[0040] If the second back pressure difference value is less than the second back pressure difference set value, the training of the direct air cooling system big data model is completed.

[0041] The air cooling system historical data includes unit exhaust flow, air cooling system historical ambient temperature, ambient wind speed, ambient wind direction, cooling triangle inlet valve state and louver opening degree.

[0042] S2, obtaining a louver rough opening degree according to the unit optimal back pressure setting value and the unit back pressure value.

[0043] In the embodiment of the application, the louver rough opening degree is obtained according to the unit optimal back pressure setting value and the unit back pressure value, comprising:

[0044] S21, obtaining a first back pressure difference value by subtracting the unit back pressure value from the unit optimal back pressure setting value and taking an absolute value, comprising:

[0045] obtaining a first correction value for fine tuning the unit optimal back pressure setting value;

[0046] performing summation operation on the unit optimal back pressure setting value and the first correction value to obtain an adjusted unit back pressure setting value;

[0047] performing subtraction operation on the adjusted unit back pressure setting value and the unit back pressure value and taking an absolute value to obtain the first back pressure difference value.

[0048] S22, if the first back pressure difference value is greater than or equal to a first back pressure difference setting value, adjusting the cooling triangle inlet valve state and the louver opening degree, obtaining a new unit back pressure value according to the adjusted cooling triangle inlet valve state and the louver opening degree and combining a direct air cooling system big data model, updating the first back pressure difference value according to the new unit back pressure value until the updated first back pressure difference value is less than the first back pressure difference setting value, and if the first back pressure difference value is less than the first back pressure difference setting value, taking the adjusted louver opening degree as the latest louver rough opening degree.

[0049] In the embodiment of the application, the adjusting of the cooling triangle inlet valve state and the louver opening degree comprises:

[0050] adopting polling to adjust the cooling triangle inlet valve state and increase the louver opening degree, or adopting permutation and combination to update the cooling triangle inlet valve state and the louver opening degree, or adopting genetic algorithm to randomly update the cooling triangle inlet valve state and the louver opening degree.

[0051] S3, obtaining the louver opening degree according to the louver coarse opening degree, the set value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet. On the basis of the louver coarse opening degree, further combining the cooling triangle outlet temperature related parameters, the opening degree of the louver 6 is further adjusted, so that the opening degree of the louver 6 can better adapt to the actual temperature demand of the cooling triangle 5, thereby more effectively adjusting the heat dissipation performance of the air cooling system, and ensuring that the temperature of the cooling triangle 5 is controlled within a reasonable range.

[0052] In the embodiment of the application, the louver opening degree is obtained according to the louver coarse opening degree, the set value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet, and comprises:

[0053] A second correction value is obtained, which is used to fine tune the set value of the cooling triangle outlet temperature;

[0054] The set value of the cooling triangle outlet temperature and the second correction value are summed to obtain a correction value of the cooling triangle outlet temperature;

[0055] According to the correction value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet after the PID controller operation, the fine adjustment opening degree of the louver is obtained.

[0056] The louver opening degree is obtained according to the louver coarse opening degree and the fine adjustment opening degree of the louver.

[0057] S4, obtaining the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve according to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening degree and the current ambient temperature of the air cooling system. The application comprehensively considers multiple parameters closely related to the operation of the cooling triangle 5 to determine the final state of the cooling triangle inlet valve 7 and the cooling triangle bypass valve 8, so as to facilitate accurate control of the steam amount entering the cooling triangle 5 and the bypass steam flow, further optimize the operation of the air cooling system, and ensure that the system can work stably and efficiently under different environmental conditions.

[0058] In the embodiment of the application, if the ambient temperature is less than the ambient temperature set value, the difference between the cooling triangle inlet temperature and the cooling triangle outlet temperature is greater than the temperature difference set value, and the louver opening degree is greater than the opening degree set value, a cooling triangle inlet valve closing instruction and a cooling triangle bypass valve opening instruction are generated, otherwise, a cooling triangle inlet valve opening instruction and a cooling triangle bypass valve closing instruction are generated.

[0059] The application can effectively solve the problem that the heat dissipation performance of the natural ventilation direct air cooling system is easily affected by the operation condition of the unit, the wind speed, the wind direction and the ambient temperature when the natural ventilation direct air cooling system is applied in a large-scale thermal power unit, and can effectively solve the technical problem that the cooling triangle 5 is prone to supercooling or frost heaving under low temperature conditions. According to the real-time environmental parameters and system operation parameters, the opening degree of the louver 6, the state of the cooling triangle inlet valve 7 and the state of the cooling triangle bypass valve 8 can be accurately adjusted, so that the heat dissipation performance of the air cooling system is optimized, the safe and stable operation of the system under various conditions is ensured, the occurrence of safety accidents such as equipment damage and pipeline rupture is reduced, the economic loss of the power station is reduced, and the operation efficiency and stability of the power station are improved.

[0060] Referring to Figure 2 Based on the above method, the application further discloses a control system of a natural ventilation direct air cooling system, which comprises:

[0061] A unit back pressure value acquisition module is configured to acquire a unit back pressure value according to a unit steam exhaust flow, an ambient temperature, an ambient wind speed, an ambient wind direction, a state of a cooling triangle inlet valve and a current louver opening degree, and in combination with a direct air cooling system big data model.

[0062] A louver coarse opening degree acquisition module is configured to acquire a louver coarse opening degree according to a unit optimal back pressure set value and the unit back pressure value.

[0063] A louver opening degree acquisition module is configured to acquire a louver opening degree according to the louver coarse opening degree, a set value of a cooling triangle outlet temperature and a temperature of the cooling triangle outlet.

[0064] A cooling triangle inlet valve state acquisition module is configured to acquire a final state of a cooling triangle inlet valve and a final state of a cooling triangle bypass valve according to a cooling triangle outlet temperature, a cooling triangle inlet temperature, a louver opening degree and an ambient temperature of the air cooling system.

[0065] The modules of the system can cooperate with each other to accurately adjust the opening degree of the louver, the state of the cooling triangle inlet valve and the state of the cooling triangle bypass valve according to real-time environmental parameters and system operation parameters.

[0066] Embodiment 2

[0067] The application aims to combine a typical natural ventilation direct air cooling system process system, and specifically propose a complete control method to ensure the system performance under different boundary conditions and the anti-freezing effect of the system under extreme winter conditions, ensure the safe and stable operation of the power station, and help the popularization of the natural ventilation direct air cooling system technology.

[0068] The control method for a natural ventilation direct air-cooled system provided by this invention is beneficial for achieving stable operation of the direct air-cooled system, ensuring efficient operation of the system under various operating conditions and boundary conditions, and ensuring safe operation of the system under extreme operating conditions and boundary conditions.

[0069] See Figure 3 The natural ventilation direct air-cooling system of this invention includes a steam turbine condenser 1, a cooling triangle 5, a condensate tank 4, louvers 6, a cooling triangle inlet valve 7, a cooling triangle bypass valve 8, a unit back pressure measurement unit 2, an exhaust steam flow measurement unit 3, a cooling triangle outlet temperature measurement unit 9, a cooling triangle inlet steam temperature measurement unit 10, an ambient temperature measurement unit 11, an ambient wind speed measurement unit 12, and an ambient wind direction measurement unit 13. Among them, Figure 3 In the diagram, M represents an electric actuator, TE represents a temperature sensor, PT represents a pressure transmitter, FT represents a flow meter, WS represents an ambient wind speed sensor, and WT represents an ambient wind direction sensor.

[0070] Unit back pressure measurement unit 2 is used to monitor unit back pressure; exhaust steam flow measurement unit 3 is used to obtain unit exhaust steam flow; cooling triangle outlet temperature measurement unit 9 is used to monitor cooling triangle outlet temperature (cooling triangle outlet condensate temperature); cooling triangle inlet steam temperature measurement unit 10 is used to monitor cooling triangle inlet steam temperature; ambient temperature measurement unit 11 is used to monitor ambient temperature; ambient wind speed measurement unit 12 is used to monitor ambient wind speed; ambient wind direction measurement unit 13 is used to monitor ambient wind direction.

[0071] Based on the above-mentioned natural ventilation direct air-cooling system, this invention proposes a control method for the natural ventilation direct air-cooling system. When the unit is running, the steam discharged from the turbine condenser 1 is transported through pipelines to the cooling triangle 5 below the generator cooling tower. Combined with the cooling triangle steam inlet valve 7 and louvers 6, the back pressure of the thermal power plant turbine generator unit is regulated. At the same time, the cooling triangle outlet temperature of each cooling triangle 5 is taken into account to prevent the condensate of each cooling triangle 5 from becoming too cold, and to prevent the cooling triangle 5 from freezing and blocking under extreme winter conditions, thus ensuring the economy and safety of the unit.

[0072] The control method of the natural ventilation direct air cooling system of the present invention is as follows:

[0073] First, a big data model of the direct air-cooled system is established using actual operating data of the generator set. Then, an optimization algorithm is built and implemented in the generator set control system. Through iterative adjustments to the state of the cooling triangular inlet valve and the louver opening, the state of the cooling triangular inlet valve and the louver opening that optimize the back pressure of the thermal power generator set are finally obtained.

[0074] S10, the control system takes the state and the louver opening degree of the cooling triangle admission valve as the input of the direct air cooling system big data model by presetting the state and the louver opening degree of the cooling triangle admission valve, simultaneously taking the environmental temperature, the environmental wind speed, the environmental wind direction and the like as other inputs of the direct air cooling system big data model, and outputting the unit back pressure value after the operation of the direct air cooling system big data model.

[0075] Referring to Figure 4 In the embodiment of the present application, the adjusted unit back pressure set value is obtained by summing the unit optimal back pressure set value and the first correction value A1, and the first correction value A1 is a value input by an operator, so as to facilitate the operator to fine tune the unit optimal back pressure set value. The first back pressure difference value is obtained by taking the absolute value of the result of the subtraction operation between the adjusted unit back pressure set value and the unit back pressure value output by the direct air cooling system big data model. The first back pressure difference value is compared with the first back pressure difference set value 0.5. When the first back pressure difference value is greater than or equal to 0.5, the output end of the conversion module T1 selects the input of the N end, and the output of the conversion module T1 is 1, so as to trigger the opening degree updating module to update the state and the louver opening degree of each cooling triangle admission valve. The updated result is taken as the new input of the direct air cooling system big data model, and the iterative operation is performed in this way. At the same time, the output end of the conversion module T2 selects the input of the N end, and the cooling triangle admission valve 7 and the louver 6 maintain the previous opening degree output command. Until the first back pressure difference value is less than 0.5, the state and the louver opening degree of each cooling triangle admission valve are further updated.

[0076] In the embodiment of the present application, the opening degree updating module can update the state and the louver opening degree of the cooling triangle admission valve by polling adjustment of the state of the cooling triangle admission valve and increase of the louver opening degree, or by permutation and combination, or by random update of the state and the louver opening degree of the cooling triangle admission valve by using the genetic algorithm, so as to find the optimal state and louver opening degree of the cooling triangle admission valve.

[0077] When the first back pressure difference value is less than the first back pressure difference set value 0.5, the output end of the conversion module T1 selects the input of the Y end, and the output of T1 is 0. At this time, the opening degree updating module does not update the state and the louver opening degree of each cooling triangle admission valve, and the output end of the conversion module T2 selects the input of the Y end. At this time, the state and the louver opening degree of each cooling triangle admission valve are the optimal opening degree.

[0078] In the embodiment of the present application, the establishment process of the direct air cooling system big data model is as follows:

[0079] The direct air cooling system big data model in the application adopts advanced neural network, support vector machine and other algorithm theories, takes historical ambient temperature, historical ambient wind speed, historical ambient wind direction, historical state of the cooling triangle inlet valve and historical louver opening degree of the air cooling system as input, takes the generator set back pressure value as output, is trained through a large amount of operation data, and is continuously corrected in the internal parameters of the big data model to ensure the accuracy and reliability of the direct air cooling system big data model.

[0080] As shown in Figure 5 The unit exhaust flow, historical ambient temperature, historical ambient wind speed, historical ambient wind direction, historical state of the cooling triangle inlet valve and historical louver opening degree are taken as the input of the direct air cooling system big data model, and the generator set back pressure value is obtained. The unit back pressure history value measured by the unit back pressure measurement unit 2 is subtracted from the generator set back pressure value, the result after the subtraction operation is subjected to absolute value operation, and the second back pressure difference value is obtained. The time stamp corresponding to the unit back pressure history value corresponds to the time stamp of the air cooling system historical data. The second back pressure difference value is compared with the second back pressure difference set value 0.3. In actual operation, the second back pressure difference set value 0.3 can also be adjusted appropriately according to the actual situation. When the second back pressure difference value is greater than or equal to 0.3, it means that the accuracy of the direct air cooling system big data model deviates greatly from the actual process system parameters, the model parameter update is triggered, the model is continuously trained, and the output of the conversion module T selects the input 0 of the Y end as the output. The output value is 0, indicating that the direct air cooling system (NDC, Natural Draft Condenser) big data model is not available.

[0081] When the second back pressure difference value is less than 0.3, it means that the accuracy of the direct air cooling system big data model deviates from the actual process system parameters and meets the actual demand, and the model parameter does not need to be updated, and the model training is not performed. At this time, the output of the conversion module T selects the input 1 of the N end as the output, and the output value is 1, indicating that the direct air cooling system big data model is available, indicating that the model training is completed, and the model can meet the demand of the control method optimization application of the application, and the effect of the application is best.

[0082] S20, the control method of the louver and the related switch valve is as follows:

[0083] The control principle of the louver 6, the cooling triangle inlet valve 7 and the cooling triangle bypass valve 8 of the application is to ensure the safety and stability of the unit equipment first, and then the economy of the whole system operation, and ensure the best back pressure of the thermal power generator set. The control instruction of the louver 6 and the cooling triangle inlet valve 7 is corrected by combining the state of the cooling triangle inlet valve and the coarse opening degree of the louver and the requirements of fine adjustment and anti-freezing protection.

[0084] Referring toFigure 6 The set value of the cooling triangle outlet temperature is summed with the second correction value A2 to obtain a correction value of the cooling triangle outlet temperature, the correction value of the cooling triangle outlet temperature is input as the set value SP port of the PID controller (Proportional Integral Derivative), and the second correction value A2 can be adjusted by the power plant operator in combination with the actual operation, and the main role is to leave the flexibility of the power plant operator for free operation. The temperature of the cooling triangle outlet is filtered through the LEADLAG (Lead-Lag) block and input as the process value PV port of the PID controller, and the main role of the LEADLAG block is to ensure the stability and reliability of the measured value. The correction value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet are operated through the PID controller to obtain the opening degree of the fine adjustment of the louvers, and the opening degree of the fine adjustment of the louvers and the coarse opening degree of the louvers are operated through the summation block to obtain the opening degree of the louvers as the final opening degree instruction of the louvers 6, so as to ensure the best adjustment of each cooling triangle.

[0085] Referring to Figure 7 The main function of the control logic related to the cooling triangle inlet valve 7 and the cooling triangle bypass valve 8 is to prevent the freezing of the cooling triangle in winter. The ambient temperature is compared with the ambient temperature set value A3 to obtain whether the ambient temperature is less than the ambient temperature set value A3, and when it is less than the ambient temperature set value A3, the output of the comparison module is 1, and when the ambient temperature is greater than or equal to the ambient temperature set value A3, the output of the comparison module is 0. Generally, the ambient temperature set value A3 can be 5°C. The output after the comparison of the ambient temperature with the ambient temperature set value A3 is the first input of the AND block (AND operation), and when the three inputs of the AND block are all 1, the output of the AND block is 1, otherwise it is 0.

[0086] Referring to Figure 7 The cooling triangle outlet temperature and the cooling triangle inlet temperature are operated through the subtraction block, and compared with the temperature difference set value A4, and when the value after the operation of the subtraction block is greater than the temperature difference set value A4, the output of the comparison module is 1, and when the value after the operation of the subtraction block is less than or equal to the temperature difference set value A4, the output of the comparison module is 0. Generally, the temperature difference set value A4 can be 75°C. The output after the comparison of the value after the operation of the subtraction block with the temperature difference set value A4 is the second input of the AND block, and when the three inputs of the AND block are all 1, the output of the AND block is 1, otherwise it is 0.

[0087] Referring to Figure 7The value of the louver opening degree is compared with the value of the louver opening degree setting value A5, when the louver opening degree is greater than the louver opening degree setting value A5, the output of the comparison module is 1, when the louver opening degree is less than the louver opening degree setting value A5, the output of the comparison module is 0, generally, the louver opening degree setting value A5 can be 95%, and the output after the comparison between the louver opening degree and the louver opening degree setting value A5 is taken as the third input of the AND block;

[0088] When the three inputs of the AND block are all 1, the output is taken as a protection trigger condition for triggering the cooling triangle inlet valve 7 and the cooling triangle bypass valve 8 actuator, at this time, the cooling triangle inlet valve 7 is closed, the cooling triangle bypass valve 8 is opened, and the cooling triangle does not pass steam and water medium.

[0089] The advanced neural network, support vector machine and other algorithm theories are adopted, the environmental temperature, the environmental wind speed, the environmental wind direction, the louver opening degree and the cooling triangle inlet valve state are taken as inputs, and the generator set back pressure value is taken as output, a large amount of operation data is trained, the internal parameters of the big data model are continuously corrected, so that the accuracy and reliability of the direct air cooling system big data model are ensured.

[0090] The direct air cooling system big data model is used to build an implementation optimization algorithm in the generator set control system, the state of the cooling triangle inlet valve and the louver opening degree are iteratively adjusted, and finally the state of the cooling triangle inlet valve and the louver opening degree that make the back pressure of the thermal power generator set optimal are obtained.

[0091] After the optimization operation of the direct air cooling system big data model, the set value and the actual measured value of the outlet temperature of each cooling triangle are finely adjusted, and the optimization operation result and the calculation result of fine adjustment are comprehensively taken as the final instruction of the cooling triangle louver, so that the economy of unit operation is ensured.

[0092] When the thermal power generator set is operated in winter, the environmental temperature, the inlet and outlet temperatures of each cooling triangle 5, the opening degree of each louver 6 and other information are comprehensively judged, and finally the priority action instruction of each cooling triangle inlet valve 7 and cooling triangle bypass valve 8 is generated, so that the safety of each cooling triangle 5 of the direct air cooling system under winter working condition is ensured.

[0093] The present application divides the circumferential direction of the cooling tower into six to nine regions for the typical natural ventilation direct air cooling system, uses a large amount of data in the unit operation process, uses the direct air cooling system big data model, and realizes the efficient, safe and stable operation of the direct air cooling system under various working conditions and boundary conditions.

[0094] The present application can realize accurate control of the outlet condensate water temperature of each cooling triangle, realize accurate adjustment of the condensate water supercooling degree in the system, and effectively improve the economy in the operation process of the power plant.

[0095] The application can effectively guarantee the safe and stable operation of the direct air cooling system under winter conditions, and guarantee the safety of the entire system equipment.

[0096] An electronic device comprises a processor, a memory for storing computer program instructions, and a control method for a natural ventilation direct air cooling system when the computer program is executed.

[0097] A storage medium stores computer program instructions, and when the computer program instructions are loaded and executed by a processor, the processor executes a control method for a natural ventilation direct air cooling system.

[0098] A computer program product comprises computer instructions for instructing a computer to execute a control method for a natural ventilation direct air cooling system.

[0099] Those skilled in the art will appreciate that embodiments of the application can be provided as methods, systems, or computer program products. Therefore, the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) having computer-usable program code embodied therein.

[0100] The application is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce an apparatus that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for performing the function specified by one or more blocks

[0101] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product comprising instruction means that implement the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for performing the function specified by one or more blocks

[0102] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are performed on the computer or other programmable data processing devices to generate a computer implemented process, so that the instructions executed on the computer or other programmable data processing devices provide a process for implementing the flowchart Figure 1 one flow or multiple flows and / or the functions specified in the block Figure 1 one block or multiple blocks.

[0103] 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 according to the technical idea of the present application on the basis of the technical scheme falls within the protection scope of the present application.

Claims

1. A control method of a natural draft direct air-cooling system, characterized by, The method comprises the following steps: According to the unit steam flow, the current ambient temperature, the ambient wind speed, the ambient wind direction, the state of the cooling triangle inlet valve, and the current louver opening, and combining the direct air cooling system big data model, the unit back pressure value is obtained; According to the unit optimal back pressure set value and the unit back pressure value, the louver coarse opening is obtained, including: The difference between the unit optimal back pressure set value and the unit back pressure value is obtained, and the absolute value is taken to obtain the first back pressure difference value; If the first back pressure difference value is greater than or equal to the first back pressure difference set value, the state of the cooling triangle inlet valve and the louver opening are adjusted, the new unit back pressure value is obtained according to the adjusted state of the cooling triangle inlet valve and the louver opening, and the direct air cooling system big data model is combined, the first back pressure difference value is updated according to the new unit back pressure value, until the updated first back pressure difference value is less than the first back pressure difference set value; If the first back pressure difference value is less than the first back pressure difference set value, the adjusted louver opening is taken as the louver coarse opening; According to the louver coarse opening, the set value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet, the louver opening is obtained, including: A second correction value is obtained for fine tuning the set value of the cooling triangle outlet temperature; The set value of the cooling triangle outlet temperature and the second correction value are summed to obtain the corrected value of the cooling triangle outlet temperature; According to the corrected value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet after the PID controller operation, the opening of the louver fine adjustment is obtained; According to the louver coarse opening and the louver fine adjustment opening, the louver opening is obtained; According to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the louver opening and the current ambient temperature of the air cooling system, the final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve are obtained.

2. The control method of the natural draft direct air-cooling system according to claim 1, characterized by, The difference between the unit optimal back pressure set value and the unit back pressure value is obtained, and the absolute value is taken to obtain the first back pressure difference value, including: A first correction value is obtained for fine tuning the unit optimal back pressure set value; The unit optimal back pressure set value and the first correction value are summed to obtain the adjusted unit back pressure set value; The adjusted unit back pressure set value and the unit back pressure value are subtracted and the absolute value is taken to obtain the first back pressure difference value.

3. The control method of the natural draft direct air-cooling system according to claim 1, characterized by, The state of the cooling triangle inlet valve and the louver opening are adjusted, including: The state of the cooling triangle inlet valve and the louver opening are adjusted by polling, or The state of the cooling triangle inlet valve and the louver opening are updated in a permutation and combination manner, or The state of the cooling triangle inlet valve and the louver opening are randomly updated by using genetic algorithm.

4. The control method of the natural draft direct air-cooling system according to claim 1, characterized by, The direct air cooling system big data model adopts neural network or support vector machine, and the input of the direct air cooling system big data model is air cooling system historical data, and the output is generator unit back pressure value; The air cooling system historical data includes unit steam flow, air cooling system historical ambient temperature, ambient wind speed, ambient wind direction, state of cooling triangle inlet valve and louver opening.

5. The control method of the natural draft direct air-cooling system according to claim 4, characterized by, The direct air cooling system big data model is trained by using neural network or support vector machine, taking air cooling system historical data as input and taking generator unit back pressure value as output, including: Input the air cooling system historical data into the initial direct air cooling system big data model to obtain a generator set back pressure value; Subtract the unit back pressure historical value from the generator set back pressure value and take an absolute value to obtain a second back pressure difference value; If the second back pressure difference value is greater than or equal to a second back pressure difference set value, continue to train the direct air cooling system big data model; If the second back pressure difference value is less than the second back pressure difference set value, complete the training of the direct air cooling system big data model.

6. The control method of the natural draft direct air-cooling system according to claim 1, wherein The final state of the cooling triangle inlet valve and the final state of the cooling triangle bypass valve are obtained according to the cooling triangle outlet temperature, the cooling triangle inlet temperature, the ambient temperature and the louver opening degree, comprising: If the ambient temperature is less than an ambient temperature set value, and the difference between the cooling triangle inlet temperature and the cooling triangle outlet temperature is greater than a temperature difference set value, and the louver opening degree is greater than an opening degree set value, generate a cooling triangle inlet valve closing instruction and a cooling triangle bypass valve opening instruction, otherwise, generate a cooling triangle inlet valve opening instruction and a cooling triangle bypass valve closing instruction.

7. A control system for a naturally ventilated direct air-cooling system, characterized by Comprising: The unit back pressure value acquisition module is configured to obtain a unit back pressure value according to a unit exhaust flow, a current ambient temperature, an ambient wind speed, an ambient wind direction, a state of a cooling triangle inlet valve and a current louver opening degree, and in combination with the direct air cooling system big data model; The louver coarse opening degree acquisition module is configured to obtain a louver coarse opening degree according to a unit optimal back pressure set value and the unit back pressure value, comprising: Subtract the unit optimal back pressure set value from the unit back pressure value and take an absolute value to obtain a first back pressure difference value; If the first back pressure difference value is greater than or equal to a first back pressure difference set value, adjust the state of the cooling triangle inlet valve and the louver opening degree, obtain a new unit back pressure value in combination with the direct air cooling system big data model according to the adjusted state of the cooling triangle inlet valve and the louver opening degree, update the first back pressure difference value according to the new unit back pressure value, and continue until the updated first back pressure difference value is less than the first back pressure difference set value; If the first back pressure difference value is less than the first back pressure difference set value, the adjusted louver opening degree is taken as the louver coarse opening degree; The louver opening degree acquisition module is configured to obtain a louver opening degree according to the louver coarse opening degree, a set value of a cooling triangle outlet temperature and a temperature of the cooling triangle outlet, comprising: Obtain a second correction value for fine tuning the set value of the cooling triangle outlet temperature; Sum the set value of the cooling triangle outlet temperature and the second correction value to obtain a corrected value of the cooling triangle outlet temperature; According to the corrected value of the cooling triangle outlet temperature and the temperature of the cooling triangle outlet after the PID controller operation, an opening degree of fine adjustment of the louver is obtained; According to the louver coarse opening degree and the opening degree of fine adjustment of the louver, the louver opening degree is obtained; The cooling triangle inlet valve state acquisition module is configured to obtain a final state of a cooling triangle inlet valve and a final state of a cooling triangle bypass valve according to a cooling triangle outlet temperature, a cooling triangle inlet temperature, a louver opening degree and a current ambient temperature of an air cooling system.

8. An electronic device comprising: The processor; memory, the electronic device is used for storing computer program instructions; characterized in that, for executing the computer program, the control method of the natural ventilation direct air cooling system as claimed in any one of claims 1-6 is realized.

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