Helium temperature simulation method and device for whole-plant power coordination control system

Abstract

The present disclosure provides a kind of helium temperature simulation method and device of plant power coordination control system, method includes: make hot helium temperature controller carry out differential action, simulate to apply a negative reactivity disturbance;Adjust the differential time constant of hot helium temperature controller, obtain the response curve of process state variable in plant power coordination system under different differential time constant, obtain the response curve under differential action;According to the response curve under differential action, obtain optimal differential time constant.The present disclosure provides a kind of helium temperature simulation method of plant power coordination control system, when debugging hot helium temperature controller, according to the response curve of process state variable in plant power coordination system, obtain optimal differential time constant, proportional gain, in the complex large system of multiple input and multiple output, according to the coupling relationship between each control quantity and the controlled variable, establish debugging relationship, so that the result obtained by debugging meets the complex control process of high temperature gas cooled reactor.

Description

Technical Field

[0001] This disclosure belongs to the field of automatic control technology for high-temperature gas-cooled reactor engineering, specifically relating to a helium temperature simulation method and device for a plant-wide power coordination control system. Background Technology

[0002] The control system is a crucial component of a nuclear power plant, playing a vital role in its long-term, safe, and stable operation. Currently, no nuclear power plant control system can achieve coordinated control across the entire plant. The helium temperature control system for the plant-wide power coordination system in this project is the first of its kind in a domestic nuclear power plant. However, this also presents many challenges, including exploring and developing comprehensive commissioning methods and strategies, conducting feasible simulation verification tests to validate the rationality of the commissioning methods and reliability of key system equipment in the high-temperature gas-cooled reactor demonstration project, mastering the commissioning methods and operating characteristics of key system equipment, successfully completing the commissioning tasks of the high-temperature reactor demonstration project, ensuring its safe and reliable operation, and contributing to the commercialization of high-temperature reactors.

[0003] Because the high-temperature gas-cooled reactor demonstration project is a complex large-scale system with multiple inputs and multiple outputs, there are close coupling relationships between the control variables and the controlled variables. In view of the complex characteristics of its control process, the control strategy is based on the hierarchical control theory of large systems, forming a coordinated control system with a three-layer hierarchical control structure of power distribution control layer, coordination control layer and local control layer. Its coordinated control strategy and actuators are being applied to engineering practice for the first time. The commissioning of the hot helium temperature control system will be a completely new challenge. Therefore, how to achieve accurate control while avoiding frequent disturbances during the engineering commissioning process is a major problem at present. Summary of the Invention

[0004] This disclosure aims to at least solve one of the technical problems existing in the prior art, and to provide a method, apparatus, equipment and medium for simulating helium temperature in a plant-wide power coordination control system.

[0005] This disclosure provides a method for simulating helium temperature in a plant-wide power coordination control system, the method comprising:

[0006] The thermal helium temperature controller is made to perform a differential action to simulate the application of a negative reactive perturbation;

[0007] Adjust the differential time constant of the hot helium temperature controller to obtain the response curves of the process state variables in the whole plant power coordination system under different differential time constants, and obtain the response curves under differential action;

[0008] The optimal differential time constant is obtained from the response curve under the differential action.

[0009] Optionally, after obtaining the optimal differential time constant based on the response curve under the differential action, the process includes:

[0010] The hot helium temperature controller is made to perform proportional and derivative actions, and the derivative time constant of the hot helium temperature controller is made to be the optimal derivative time constant, and a disturbance of the hot helium temperature setpoint is applied.

[0011] Adjust the proportional gain of the hot helium temperature controller to obtain the response curves of the process state variables in the plant-wide power coordination system under different proportional gains, and obtain the response curves under proportional action and derivative action;

[0012] The optimal proportional gain is obtained based on the response curves under the proportional and differential actions.

[0013] Optionally, obtaining the optimal differential time constant based on the response curve under the differential action includes:

[0014] The optimal differential time constant is obtained based on at least one of the following: the anti-disturbance performance, the callback speed, and the oscillation of the response curve under the differential action.

[0015] Optionally, obtaining the optimal proportional gain based on the response curves under the proportional and differential actions includes:

[0016] The optimal proportional gain is obtained based on the callback speed and / or oscillation of the response curves under the proportional and differential actions.

[0017] Optionally, adjusting the differential time constant of the hot helium temperature controller includes:

[0018] The differential time constant of the hot helium temperature controller is set to a small value, and the differential time constant is gradually increased using a successive approximation method.

[0019] Optionally, adjusting the proportional gain of the hot helium temperature controller includes:

[0020] Set the proportional gain of the hot helium temperature controller to a small value and gradually increase the proportional gain.

[0021] Optionally, the simulation applies a negative reactive perturbation, including:

[0022] A small negative reactive disturbance was introduced by simulating the manual insertion of the compensation rod at maximum speed.

[0023] Optionally, applying a perturbation to a hot helium temperature setpoint includes:

[0024] Apply a positive or negative step change signal with a small amplitude of the hot helium temperature setpoint.

[0025] Optionally, the process state variables include at least one of the following: nuclear power setpoint correction, control rod drive mechanism drive signal, each control rod position, nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power. The response curve includes the open-loop dynamic response curve of the process state variables from initial to steady state.

[0026] Another aspect of this disclosure provides a helium temperature simulation device for a plant-wide power coordination control system, the device comprising:

[0027] The differential setting module is used to enable the thermal helium temperature controller to perform differential action, simulating the application of a negative reactive perturbation;

[0028] The differential action response curve acquisition module is used to adjust the differential time constant of the hot helium temperature controller, acquire the response curves of the process state variables in the whole plant power coordination system under different differential time constants, and obtain the response curve under differential action.

[0029] The differential time constant selection module is used to obtain the optimal differential time constant based on the response curve under the differential action.

[0030] Another aspect of this disclosure provides an electronic device comprising:

[0031] One or more processors;

[0032] A storage unit is used to store one or more programs, which, when executed by one or more processors, enable the one or more processors to implement the helium temperature simulation method for a plant-wide power coordination control system described above.

[0033] Another aspect of this disclosure provides a computer-readable storage medium having a computer program stored thereon.

[0034] When the computer program is executed by the processor, it can realize the helium temperature simulation method for a plant-wide power coordination control system described above.

[0035] In the helium temperature simulation method, apparatus, equipment, and medium of the whole plant power coordination control system disclosed in this embodiment, during the commissioning of the hot helium temperature controller, the optimal differential time constant and proportional gain are obtained based on the response curve of the process state variables in the whole plant power coordination system. In a complex large system with multiple inputs and multiple outputs, such as a high-temperature gas-cooled reactor demonstration project, the commissioning relationship is established based on the close coupling relationship between each control variable and the controlled variable, so that the commissioning results can conform to the complex control process of the high-temperature gas-cooled reactor. This embodiment of the disclosure can simulate and verify the regulation characteristics of the whole plant power automatic control and regulation system controlling the helium temperature control system in advance, avoiding frequent disturbances to the unit during actual engineering applications, achieving accurate control, and enabling the commissioning results to more accurately control the effective operation of the high-temperature gas-cooled reactor. Attached Figure Description

[0036] Figure 1 A schematic block diagram of an example electronic device for implementing a helium temperature simulation method and apparatus for a plant-wide power coordination control system according to an embodiment of the present disclosure;

[0037] Figure 2 This is a schematic diagram of the working process of a thermal helium temperature controller in a plant-wide power coordination system control helium temperature control system according to another embodiment of this disclosure.

[0038] Figure 3 This is a flowchart illustrating a helium temperature simulation method for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0039] Figure 4 This is a flowchart illustrating a helium temperature simulation method for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0040] Figure 5 This is a simulation curve of the drive signal of the control rod transmission mechanism under the differential action of a closed-loop test of a helium temperature control system for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0041] Figure 6 This is a simulation curve of the nuclear power setpoint correction under the differential action of a closed-loop test of a helium temperature control system for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0042] Figure 7 This is a nuclear power simulation curve under the differential action of a closed-loop test of a helium temperature control system for a plant-wide power coordination control system, according to another embodiment of this disclosure.

[0043] Figure 8This is a simulation curve of the reactor outlet hot helium temperature under the differential action of a closed-loop test of a helium temperature simulation method for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0044] Figure 9 This is a simulation curve of the evaporator outlet steam temperature under the differential action of a closed-loop test of a helium temperature simulation method for a plant-wide power coordination control system, according to another embodiment of this disclosure.

[0045] Figure 10 This is a simulation curve of the output thermal power under the differential action of a closed-loop test of a helium temperature control system for a plant-wide power coordination control system, according to another embodiment of this disclosure.

[0046] Figure 11 This is a simulation curve of the drive signal of the control rod transmission mechanism under the proportional and differential actions in a closed-loop test of a helium temperature control system for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0047] Figure 12 This is a simulation curve of the nuclear power setpoint correction under proportional and differential action in a closed-loop test of a helium temperature control system for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0048] Figure 13 This is a closed-loop test diagram of the nuclear power simulation curves under the proportional and differential actions of a helium temperature control system for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0049] Figure 14 This is a simulation curve of the reactor outlet hot helium temperature under the proportional and differential actions in a closed-loop test of a helium temperature simulation method for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0050] Figure 15 This is a simulation curve of the evaporator outlet steam temperature under the proportional and derivative actions in a closed-loop test of a helium temperature simulation method for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0051] Figure 16 This is a simulation curve of the output thermal power under the proportional and derivative actions of a closed-loop test of a helium temperature control system for a plant-wide power coordination control system according to another embodiment of this disclosure.

[0052] Figure 17 This is a schematic diagram of the structure of a helium temperature simulation device for a plant-wide power coordination control system, according to another embodiment of this disclosure. Detailed Implementation

[0053] To enable those skilled in the art to better understand the technical solutions of this disclosure, the disclosure will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.

[0054] Unless otherwise specifically stated, the technical or scientific terms used in this disclosure should be understood in their ordinary sense by one of ordinary skill in the art to which this disclosure pertains. The terms "comprising" or "including," as used in this disclosure, do not limit the shapes, numbers, steps, actions, operations, components, elements, and / or groups thereof mentioned, nor do they exclude the appearance or inclusion of one or more other different shapes, numbers, steps, actions, operations, components, elements, and / or groups thereof, or the inclusion of these. In the description of this disclosure, "a plurality of" means two or more, unless otherwise expressly specified.

[0055] In some descriptions of the invention, unless otherwise expressly specified and limited, terms such as “installation,” “connection,” “linking,” or “fixing” are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect through an intermediate medium, which can be the internal connection of two elements or the interaction between two elements.

[0056] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this disclosure. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale, and techniques, methods, and devices known to those skilled in the art may not be discussed in detail; however, where appropriate, the illustrated techniques, methods, and devices should be considered part of the specification. In all the examples shown and discussed herein, any other specific example may have different values. It should be noted that similar symbols and letters in the following figures denote similar items; therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0057] Before discussing in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when an operation is completed, but it may also have additional steps not included in the figures. The process may correspond to a method, function, procedure, subroutine, subroutine, etc.

[0058] First, refer to Figure 1 This describes an example electronic device for implementing a helium temperature simulation method and apparatus for a plant-wide power coordination control system according to embodiments of the present disclosure.

[0059] like Figure 1 As shown, the electronic device 200 includes one or more processors 210, one or more storage devices 220, input devices 230, output devices 240, etc., and these components are interconnected via a bus system and / or other forms of connection mechanism 250. It should be noted that... Figure 1 The components and structures of the electronic device shown are merely exemplary and not limiting; the electronic device may also have other components and structures as needed.

[0060] For example, the processor can effectively perform a series of operations such as data access, data storage, data processing, and data analysis on large-scale real-time data from multiple heterogeneous sources.

[0061] The processor 210 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0062] The storage device 220 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and a processor may execute the program instructions to implement the client functions (implemented by the processor) in the embodiments of this disclosure described below, and / or other desired functions. Various applications and various data may also be stored in the computer-readable storage medium, such as various data used and / or generated by the applications.

[0063] The input device 230 may be a device used by a user to input commands, and may include one or more of the following: keyboard, mouse, microphone, and touch screen.

[0064] The output device 240 can output various information (such as images or sounds) to the outside (e.g., a user) and may include one or more of a display, a speaker, etc.

[0065] For example, an example electronic device for implementing a helium temperature simulation method and apparatus for a plant-wide power coordination control system according to embodiments of the present disclosure can be implemented as a smartphone or tablet computer.

[0066] Below, we will refer to Figure 2 and Figure 3 This disclosure describes a helium temperature simulation method for a plant-wide power coordination control system according to an embodiment of the present disclosure.

[0067] It should be noted that in this embodiment, a hot helium temperature controller is used to control the helium temperature. This embodiment simulates how the plant-wide power coordination system controls the hot helium temperature controller to control the helium temperature. The simulation yields the optimal differential time constant and proportional gain of the hot helium temperature controller. Through this optimal differential time constant and optimal proportional gain, precise control of the helium temperature is achieved.

[0068] Figure 2 This example illustrates the workflow of a hot helium temperature controller, that is, its working principle. Specifically, in the main control loop, the hot helium temperature is initially set to T. cout The heating process is performed by selecting the A / M operating mode of the hot helium temperature controller, where A represents automatic mode and M represents manual mode. The dead zone of the hot helium temperature controller is set in automatic mode. Then, the proportional, integral, and derivative functions of the hot helium temperature controller are selected, and the deviation is set in automatic mode. Finally, a summation operation is performed to obtain the nuclear power setpoint n. r0 In the branch control loop, after heating, the temperature is raised or lowered by 25°C. This is followed by a NOT operation and then an AND operation. The result is then output to the hot helium temperature deviation normal module. The output of this module is then ANDed with the outputs of the automatic adjustment interlock module and the hot helium temperature adjustment module. This result is fed back to the main loop as the adjusted temperature T. In the main loop, the temperature is adjusted according to the adjusted temperature T using either automatic mode A or manual mode M. In another branch loop, the relative power level setpoint P is input. r0 On the one hand, this relative power level setpoint is converted into the input temperature T. cout (P r0This, in turn, affects the hot helium temperature setpoint T. cout0 This enables the heating operation of the main circuit. On the other hand, the relative power level setpoint acts on the summation operation in the main circuit, thereby indirectly correcting the nuclear power setpoint n. r0 .

[0069] like Figure 3 As shown, a helium temperature simulation method for a plant-wide power coordination control system includes:

[0070] S000: Enables the hot helium temperature controller to perform differential action, sets the differential time constant, disconnects the feedback loop of the hot helium temperature controller, applies a disturbance to the hot helium temperature setpoint, and obtains the response curve of the process state variable in the plant-wide power coordination system.

[0071] Specifically, this step includes:

[0072] S010: Perform initial settings for the hot helium temperature controller to enable its differential action. Specifically, the hot helium temperature controller is placed in the active state, keeping the pre-tuned proportional gain k_(n,p) and differential time constant T_(h,d) unchanged. By setting the proportional gain k_(n,p) to 0, the proportional feedback action of the hot helium temperature controller is disabled, allowing the controller to perform only differential action.

[0073] S020: Set the differential time constant. Specifically, set the differential time constant T_(h,d) to a relatively small value; for example, a relatively small value is 10. -2 Up to 10 -1 The parameter is on the order of magnitude, for example, 0.03, 0.01, or 0.3.

[0074] S030: Disconnect the feedback loop of the hot helium temperature controller. Specifically, while keeping the measured hot helium temperature value unchanged, disconnect the feedback loop of the hot helium temperature measurement value of the hot helium temperature controller.

[0075] S040: Apply a perturbation to the hot helium temperature setpoint. Specifically, apply a positive / negative step perturbation to the hot helium temperature setpoint with a small amplitude, where small amplitude means small compared to the current hot helium temperature setpoint, for example, 1°C or -1°C.

[0076] S050: Obtain the response curves of process state variables in the plant-wide power coordination system. Specifically, record the open-loop dynamic response curves from initial to steady state of important process state variables such as nuclear power setpoint correction, control rod drive mechanism drive signal, each control rod position, nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power.

[0077] It should be noted that step S000 is not necessary in a helium temperature simulation method for a plant-wide power coordination control system. However, using step S000 can improve the operation of the plant-wide power coordination system.

[0078] S100: Enables the hot helium temperature controller to perform a differential action, simulating the application of a negative reactive disturbance.

[0079] Specifically, in this step, firstly, the feedback loop of the hot helium temperature measurement value of the hot helium temperature controller is closed; then, by setting the proportional gain k_(n,p) to 0, the proportional feedback function of the hot helium temperature controller is turned off, so that the hot helium temperature controller only has differential function; finally, a negative reactive disturbance is simulated and applied to test the response of the process state variables in the plant-wide power coordination system. For example, the negative reactive disturbance can be -10pcm.

[0080] For example, simulating the application of a negative reactive perturbation includes introducing a small negative reactive perturbation by simulating the manual insertion of a compensation rod at maximum speed.

[0081] S200: Adjust the differential time constant of the hot helium temperature controller to obtain the response curves of the process state variables in the whole plant power coordination system under different differential time constants, and obtain the response curve under differential action.

[0082] Specifically, in this step, the response curves of the process state variables in the whole plant power coordination system are recorded when the differential time constant T_(h,d) has different values, so as to obtain the response curves under the differential action.

[0083] For example, the process state variables in the plant-wide power coordination system include one or more of the following: nuclear power setpoint correction, control rod drive mechanism drive signal, each control rod position, nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power. In specific applications, the process state variables to be used can be selected according to the actual situation. The response curve includes the open-loop dynamic response curve of the process state variables from the initial state to the steady state.

[0084] S300: The optimal differential time constant is obtained from the response curve under differential action.

[0085] Specifically, in this step, the response curves of process state variables in the plant-wide power coordination system under different differential time constants are compared and analyzed. For example, visual observation or parameter comparison methods can be used to compare and analyze the response curves. Based on the results of the comparison and analysis, the response curve with the best performance is found, and the differential time constant corresponding to this response curve is taken as the optimal differential time constant. For example, in the comparison and analysis process, the response curves of a single process state variable can be used for comparison and analysis, or the response curves of multiple process state variables can be combined for comparison and analysis.

[0086] This disclosure discloses a method for simulating helium temperature in a plant-wide power coordination control system. During the commissioning of the hot helium temperature controller, the optimal differential time constant is obtained based on the response curves of the process state variables in the plant-wide power coordination system. In a complex large-scale system with multiple inputs and multiple outputs, such as a high-temperature gas-cooled reactor demonstration project, a commissioning relationship is established based on the close coupling relationship between each control variable and the controlled variable. This ensures that the commissioning results conform to the complex control process of the high-temperature gas-cooled reactor. The method allows for early simulation and verification of the regulation characteristics of the plant-wide power automatic control and regulation system controlling the helium temperature control system, avoiding frequent disturbances to the unit during actual engineering applications, achieving accurate control, and enabling the commissioning results to more accurately control the effective operation of the high-temperature gas-cooled reactor.

[0087] The following will combine Figure 4 The specific steps of the helium temperature simulation method for a plant-wide power coordination control system, as described in the embodiment, are further elaborated, specifically including:

[0088] S400: Enables the hot helium temperature controller to perform proportional and derivative actions, making the derivative time constant of the hot helium temperature controller the optimal derivative time constant, and applies a disturbance to the hot helium temperature setpoint.

[0089] Specifically, in this step, the proportional gain k_(n,p) and differential time constant T_(h,d) of the hot helium temperature controller are both set to non-zero values ​​so that the hot helium temperature controller can have both proportional and differential actions. At the same time, the differential time constant of the hot helium temperature controller is set to the optimal differential time constant obtained in step S300. In addition, a disturbance of the hot helium temperature setpoint is applied to test the response of the process state variables in the plant-wide power coordination system. For example, the disturbance of the hot helium temperature setpoint can be -1℃.

[0090] For example, applying a perturbation to a hot helium temperature setpoint includes applying a positive or negative step change signal of the hot helium temperature setpoint with a small amplitude, where small amplitude means small compared to the current hot helium temperature setpoint.

[0091] S500: Adjust the proportional gain of the hot helium temperature controller to obtain the response curves of process state variables in the plant power coordination system under different proportional gains, and obtain the response curves under proportional and derivative actions.

[0092] Specifically, in this step, the response curves of the process state variables in the plant power coordination system are recorded when the proportional gain k_(n,p) has different values, so as to obtain the response curves under proportional action and derivative action.

[0093] For example, the process state variables in the plant-wide power coordination system include one or more of the following: nuclear power setpoint correction, control rod drive mechanism drive signal, each control rod position, nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power. In specific applications, the process state variables to be used can be selected according to the actual situation. The response curve includes the open-loop dynamic response curve of the process state variables from the initial state to the steady state.

[0094] S600: The optimal proportional gain is obtained based on the response curves under proportional and differential action.

[0095] Specifically, in this step, the response curves of process state variables in the plant-wide power coordination system under optimal differential time constants and different proportional gains are compared and analyzed. For example, visual observation or parameter comparison methods can be used to compare and analyze the response curves. Based on the results of the comparison and analysis, the response curve with the best performance is found, and the proportional gain corresponding to this response curve is taken as the optimal proportional gain. For example, in the comparison and analysis process, the response curves of a single process state variable can be used for comparison and analysis, or the response curves of multiple process state variables can be combined for comparison and analysis.

[0096] Another embodiment of this disclosure discloses a helium temperature simulation method for a plant-wide power coordination control system. During the commissioning of the hot helium temperature controller, the optimal differential time constant and proportional gain are obtained based on the response curves of the process state variables in the plant-wide power coordination system. In a complex large-scale system with multiple inputs and multiple outputs, such as a high-temperature gas-cooled reactor demonstration project, a commissioning relationship is established based on the close coupling relationship between each control variable and the controlled variable. This ensures that the commissioning results conform to the complex control process of the high-temperature gas-cooled reactor. The method can simulate and verify the regulation characteristics of the plant-wide power automatic control and regulation system controlling the helium temperature control system in advance, avoiding frequent disturbances to the unit during actual engineering applications, achieving accurate control, and enabling the commissioning results to more accurately control the effective operation of the high-temperature gas-cooled reactor.

[0097] The following will further elaborate on a helium temperature simulation method for a plant-wide power coordination control system.

[0098] For example, in step S300, obtaining the optimal differential time constant based on the response curve under differential action includes:

[0099] The optimal differential time constant is obtained by considering at least one of the following factors in the response curve under differential action: disturbance rejection performance, callback speed, and oscillation. In other words, when comparing and analyzing the response curves of process state variables in the plant-wide power coordination system under different differential time constants, the response curve with good disturbance rejection performance and fast callback speed is selected, which is the response curve that overcomes disturbances quickly. At the same time, while considering the disturbance rejection performance, the oscillation of the response curve should also be taken into account, and response curves with excessive oscillation need to be eliminated.

[0100] For example, in step S600, obtaining the optimal proportional gain based on the response curves under proportional and derivative actions includes:

[0101] The optimal proportional gain is obtained by considering the pullback speed and / or oscillation of the response curves under proportional and derivative actions. In other words, when comparing and analyzing the response curves of process state variables in the plant-wide power coordination system under the optimal derivative time constant and different proportional gains, the response curve with the fast pullback speed is selected. At the same time, while considering the pullback speed, the oscillation of the response curve is also taken into account, and response curves with excessive oscillation need to be eliminated.

[0102] For example, adjusting the differential time constant of the hot helium temperature controller in step S200 includes:

[0103] Set the differential time constant T_(h,d) of the hot helium temperature controller to a relatively small value, for example, a relatively small value of 10. -2 Up to 10 -1 The parameter is set to an order of magnitude, for example, 0.03, 0.01, or 0.3. Then, using a successive approximation method, the value of the differential time constant T_(h,d) is gradually increased, thereby adjusting the differential time constant of the hot helium temperature controller. It should be noted that the above method is only an example; the differential time constant can also be initially set to a relatively large value and then gradually decreased, or a random number can be used to assign a value to the differential time constant.

[0104] For example, adjusting the proportional gain of the hot helium temperature controller in step S500 includes:

[0105] Set the proportional gain k_(n,p) of the hot helium temperature controller to a relatively small value, for example, a relatively small value of 10. -2 Up to 10 -1The parameter is set to an order of magnitude, for example, 0.01, 0.1, or 0.5. Then, using a successive approximation method, the proportional gain k_(n,p) is gradually increased to accelerate the convergence of the measured value to the set value. However, oscillations and instability caused by an excessively large gain k_(n,p) must be avoided, thereby achieving the adjustment of the proportional gain of the hot helium temperature controller. It should be noted that the above method is only an example. Alternatively, the proportional gain can be set to a relatively large value first, and then the value of the proportional gain can be gradually decreased. Random numbers can also be used to assign values ​​to the proportional gain.

[0106] Another embodiment of this disclosure discloses a helium temperature simulation method for a plant-wide power coordination control system. During the debugging of the hot helium temperature controller, the selection methods for the optimal differential time constant and optimal proportional gain are further defined. The optimal differential time constant is selected using a combination of disturbance rejection performance and oscillation performance, and the proportional gain is selected using a combination of callback speed and oscillation performance. This improves the selection accuracy of the optimal differential time constant and optimal proportional gain, thereby obtaining parameters that better control the helium temperature. Adjusting the differential time constant and proportional gain using a stepwise increase method better realizes the simulation process and facilitates subsequent data recording and comparative analysis. Introducing a small negative reactive disturbance by simulating the manual insertion of the compensation rod at maximum speed better simulates the operation of the plant-wide power coordination system, allowing the obtained helium temperature control parameters to better couple with the operating state of the nuclear power plant. Using a disturbance with a small hot helium temperature setpoint allows for better detection of the subsequent callback speed, thereby selecting more suitable control parameters, namely the optimal differential time constant and optimal proportional gain.

[0107] For example, in this embodiment, Figures 5 to 10 This is a simulation curve of a thermal helium temperature control system under differential action, representing a simulation method for helium temperature in a plant-wide power coordination control system. Figures 5 to 10 In the configuration, the parameter settings include:

[0108] Taking the 100% RFP power level test as an example, the closed-loop simulation verification of the hot helium temperature control system is carried out, where RFP represents the reactor power.

[0109] Negative reactive perturbation: Apply a negative reactive force of -10 pcm;

[0110] Proportional gain k_(n,p): Setting it to 0 disables proportional feedback and only reflects the derivative effect;

[0111] The differential time constant T_(h,d) is set to D = 0.03; D = 0.1; D = 0.3; and D = 3, respectively, to adjust the differential time constant of the hot helium temperature controller. It should be noted that D is the differential time constant T_(h,d).

[0112] For example, in this embodiment, the process state variables selected in the plant-wide power coordination system include the control rod drive mechanism drive signal, the nuclear power setpoint correction (hot helium controller output), the nuclear power, the reactor outlet hot helium temperature, the evaporator outlet steam temperature, and the output thermal power. Figures 5 to 10 These are the open-loop dynamic response curves of the above process state variables from initial to steady state under different differential time constants.

[0113] like Figure 5 As shown, applying a negative reactivity of -10 pcm will cause the nuclear power measurement to fall below the set nuclear power value. As the nuclear power measurement decreases, the control rods move upwards. The curves show that a larger differential time constant results in a stronger differential action, a larger control rod amplitude, and a faster response time to overcome disturbances. However, an excessively strong differential time constant can cause system oscillations. The curve with D=3 shows excessive oscillation. Whether this parameter is appropriate needs to be analyzed in conjunction with the nuclear power curve. Here, pcm is the unit of reactivity.

[0114] like Figure 6 As shown, applying a negative reactivity of -10 pcm will cause the measured nuclear power value to be lower than the set nuclear power value. This decrease in nuclear power will lower the hot helium temperature. When the set hot helium temperature remains constant, the input to the hot helium temperature control will deviate, causing the output of the hot helium temperature controller to rise, with the aim of adjusting the temperature back to the set value. The curve shows that a larger differential time constant indicates a stronger differential action, resulting in a larger amplitude of control rod movement and a faster disturbance rejection time. Fluctuations in the hot helium temperature also cause a larger amplitude of change in the output of the hot helium temperature controller, meaning a larger correction amount for the nuclear power setpoint. However, an excessively strong differential time constant can cause system oscillations. The curve with D=3 shows excessive oscillation. Whether this parameter is appropriate needs to be analyzed in conjunction with the nuclear power curve.

[0115] like Figure 7 As shown, applying a negative reactivity of -10 pcm causes the nuclear power measurement to fall below the set nuclear power value. As the measured nuclear power decreases, the control rod moves upward. The larger the derivative time constant, the stronger the derivative action, and consequently, the larger the control rod's amplitude. The curve shows that a stronger derivative action results in a faster response of the nuclear power measurement and a smaller deviation from the set nuclear power value, meaning a more significant effect in suppressing the decrease in nuclear power. Considering the overshoot of the nuclear power measurement returning to the set nuclear power value, a parameter of D = 0.03 is suitable. This results in a shorter duration of decrease in the measured nuclear power value after the disturbance and a faster return to a stable state. Excessive derivative causes system oscillations.

[0116] like Figure 8As shown, applying a negative reactivity of -10 pcm causes the nuclear power measurement to fall below the set nuclear power value. As the measured nuclear power decreases, the nuclear power controller issues a command to raise the control rod. The larger the differential time constant, the greater the corresponding control rod movement. The curves show that the stronger the differential action, the smaller the temperature drop of the hot helium. This indicates that a relatively rapid raising of the control rod can effectively suppress the temperature drop of the hot helium. However, if the differential action is too strong, the system takes a long time to reach a steady state. When D = 3, the duration of the hot helium temperature drop is the shortest, followed by significant oscillations, and the time to reach steady state is the longest. When D = 0.03, the duration of the hot helium temperature drop is the longest, but the time to reach steady state is the shortest.

[0117] like Figure 9 As shown, applying a negative reactivity of -10 pcm causes the nuclear power measurement to fall below the set nuclear power value. As the nuclear power measurement decreases, the nuclear power controller issues a command to raise the control rod. The larger the differential time constant, the greater the corresponding control rod movement. The curve shows that the stronger the differential action, the smaller the drop in evaporator outlet steam temperature. This indicates that a relatively rapid increase in the control rod can effectively suppress the decrease in evaporator outlet steam temperature. However, if the differential action is too strong, the system takes a long time to reach a steady state. When D = 3, the duration of the evaporator outlet steam temperature drop is the shortest, followed by significant oscillations, and the time to reach steady state is the longest. When D = 0.03, the duration of the evaporator outlet steam temperature drop is the longest, but the time to reach steady state is the shortest.

[0118] like Figure 10 As shown, applying a negative reactivity of -10 pcm causes the nuclear power measurement to fall below the set nuclear power value. As the measured nuclear power decreases, the nuclear power controller issues a command to raise the control rod. The larger the differential time constant, the greater the corresponding control rod movement. The curve shows that a stronger differential action results in a smaller decrease in output thermal power. This indicates that a relatively rapid raising of the control rod can effectively suppress the decrease in output thermal power. However, an excessively strong differential action leads to a longer time for the system to reach a steady state. When D = 3, the duration of the output thermal power decrease is the shortest, followed by significant oscillations and the longest time to reach steady state. When D = 0.03, the duration of the output thermal power decrease is the longest, but the time to reach steady state is the shortest.

[0119] In summary, the disturbance is a negative reactivity of -10 pcm; the proportional gain is 0; and the differential time constants are D = 0.03; D = 0.1; D = 0.3; D = 3. Simulations were performed sequentially on the control rod drive mechanism drive signal, the nuclear power setpoint correction (hot helium controller output), nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power to obtain the open-loop dynamic response curves from initial to steady state. Based on comprehensive data analysis, D = 0.03 is more suitable, that is, the optimal differential time constant is 0.03.

[0120] It should be noted that the simulation verification in this embodiment is only an example. That is to say, the selection and analysis process of experimental parameters are only examples and do not limit the simulation verification to using only the above methods.

[0121] For example, in this embodiment, Figures 11 to 16 Simulation curves of a thermal helium temperature control system under proportional and derivative actions, representing a simulation method for helium temperature in a plant-wide power coordination control system. Figures 11 to 16 In the configuration, the parameter settings include:

[0122] Taking the 100% RFP power level test as an example, the thermal helium temperature control system was simulated and tested.

[0123] Disturbance to the hot helium temperature setpoint: Apply a hot helium temperature setpoint of -1℃;

[0124] The differential time constant T_(h,d) is 0.03, which is the optimal differential time constant obtained in the previous text.

[0125] The proportional gain k_(n,p) is P = 0.01, P = 0.1, and P = 0.5, respectively, to adjust the proportional gain of the hot helium temperature controller. It should be noted that P is the proportional gain k_(n,p).

[0126] In this embodiment, since both the differential time constant and the proportional gain are non-zero values, the hot helium temperature control system exhibits both differential and proportional effects.

[0127] For example, in this embodiment, the process state variables selected in the plant-wide power coordination system include the control rod drive mechanism drive signal, the nuclear power setpoint correction (hot helium controller output), the nuclear power, the reactor outlet hot helium temperature, the evaporator outlet steam temperature, and the output thermal power. Figures 11 to 16 These are the open-loop dynamic response curves of the above process state variables from initial to steady state under different differential time constants.

[0128] like Figure 11 As shown, when a hot helium temperature setpoint of -1℃ is applied, the output of the hot helium temperature controller decreases accordingly, i.e., the nuclear power setpoint decreases, and a command to lower the control rod is issued. From the curve, it can be seen that with a fixed differential action, the larger the proportional gain, the stronger the proportional action, and the larger the amplitude of the control rod's downward and then upward movement. That is, when P=0.5, there is obvious oscillation; when P=0.01, the system callback is slow and does not meet the adjustment requirements; that is, when P=0.1, it is relatively suitable.

[0129] like Figure 12As shown, when a hot helium temperature setpoint of -1℃ is applied, the output of the hot helium temperature controller decreases accordingly. The curve shows that with a fixed derivative action, a larger proportional gain results in a stronger proportional action, leading to a larger downward-then-upward adjustment range and a larger correction to the nuclear power setpoint. Specifically, significant oscillations occur when P = 0.5. When P = 0.01, the system's callback is slow and does not meet the adjustment requirements. Therefore, P = 0.1 is relatively suitable.

[0130] like Figure 13 As shown, applying a hot helium temperature setpoint of -1℃ causes the output of the hot helium temperature controller to decrease, i.e., the nuclear power setpoint decreases, triggering a descent control rod command and causing a decrease in nuclear power. The curves show that an excessively large proportional gain and strong proportional action can cause oscillations in the nuclear power measurement, while an excessively small proportional gain and weak proportional action can result in prolonged deviations from the nuclear power setpoint and poor suppression of nuclear power fluctuations. Considering the overshoot of the nuclear power measurement returning to the nuclear power setpoint, a parameter of P = 0.1 is suitable, resulting in a shorter duration of decrease in the nuclear power measurement after the disturbance and a faster return to a stable state. Both excessively large and excessively small proportional gains are unsuitable.

[0131] like Figure 14 As shown, applying a hot helium temperature setpoint of -1℃ causes the output of the hot helium temperature controller to decrease, i.e., the nuclear power setpoint decreases. This triggers a descent control rod action command, causing a decrease in nuclear power and ultimately a decrease in the hot helium temperature. The curves show that an excessively large proportional gain and strong proportional action can cause oscillations in the hot helium temperature, while an excessively small proportional gain and weak proportional action result in poor system feedback and fail to meet regulation requirements. Considering the stable state of the hot helium temperature, a parameter of P = 0.1 is suitable. Under this parameter adjustment, the hot helium temperature remains very stable after applying a disturbance, meeting the expected requirements.

[0132] like Figure 15 As shown, applying a hot helium temperature setpoint of -1℃ causes the output of the hot helium temperature controller to decrease, i.e., the nuclear power setpoint decreases. This triggers a command to lower the control rod, causing a decrease in nuclear power and ultimately a drop in the evaporator outlet steam temperature. The curves show that an excessively large proportional gain and strong proportional action can cause oscillations in the evaporator outlet steam temperature, while a small proportional gain and weak proportional action result in poor system feedback and fail to meet regulation requirements. Considering the stable state of the evaporator outlet steam temperature, a parameter of P = 0.1 is suitable. Under this parameter adjustment, the evaporator outlet steam temperature remains very stable after applying a disturbance, meeting the expected requirements.

[0133] like Figure 16As shown, applying a hot helium temperature setpoint of -1℃ causes the output of the hot helium temperature controller to decrease, i.e., the nuclear power setpoint decreases. This triggers a descent control rod action command, causing a decrease in nuclear power and ultimately a decrease in output thermal power. The curves show that an excessively large proportional gain and strong proportional action can cause oscillations in the output thermal power, while a small proportional gain and weak proportional action result in poor system feedback and fail to meet regulation requirements. Considering the stable state of the output thermal power, a parameter of P = 0.1 is suitable. Under this parameter adjustment, the output thermal power after applying a disturbance is very stable and meets the expected requirements.

[0134] In summary, the disturbance is an application of -10 pcm of negative reactivity and a hot helium temperature setpoint of -1 °C; the differential time constant is 0.03, and the proportional gains are P = 0.01, P = 0.1, and P = 0.5, respectively. Simulations were performed on the control rod drive mechanism drive signal, the nuclear power setpoint correction (hot helium controller output), nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power, obtaining open-loop dynamic response curves from initial to steady state. Comprehensive data analysis shows that P = 0.1 and D = 0.03 are suitable, resulting in the smoothest overall curve; that is, the optimal proportional gain is 0.1. Furthermore, under this disturbance, the PD element (proportional and differential action) has a faster response time and smaller, more precise control rod movement amplitude compared to the D element (differential action). In other words, the optimal differential time constant is 0.03, and the optimal proportional gain is 0.1, which better controls the helium temperature control system and more accurately controls the effective operation of the high-temperature gas-cooled reactor.

[0135] It should be noted that the simulation verification in this embodiment is only an example. That is to say, the selection and analysis process of experimental parameters are only examples and do not limit the simulation verification to using only the above methods.

[0136] The following will refer to Figure 17 A helium temperature simulation device for a plant-wide power coordination control system, according to another embodiment of this disclosure, is described.

[0137] For example, such as Figure 17 As shown, the helium temperature simulation device 100 for the whole plant power coordination control system includes:

[0138] The differential setting module 110 is used to enable the thermal helium temperature controller to perform differential action, simulating the application of a negative reactive disturbance.

[0139] The differential action response curve acquisition module 120 is used to adjust the differential time constant of the hot helium temperature controller, acquire the response curves of the process state variables in the whole plant power coordination system under different differential time constants, and obtain the response curve under differential action.

[0140] The differential time constant selection module 130 is used to obtain the optimal differential time constant based on the response curve under differential action.

[0141] The proportional and derivative setting module 140 is used to enable the hot helium temperature controller to perform proportional and derivative actions, to make the derivative time constant of the hot helium temperature controller the optimal derivative time constant, and to apply a disturbance to the hot helium temperature setpoint.

[0142] The proportional and derivative action response curve acquisition module 150 is used to adjust the proportional gain of the hot helium temperature controller, acquire the response curves of process state variables in the whole plant power coordination system under different proportional gains, and obtain the response curves under proportional and derivative actions.

[0143] The proportional gain selection module 160 is used to obtain the optimal proportional gain based on the response curves under proportional and differential action.

[0144] Another embodiment of this disclosure discloses a helium temperature simulation device for a plant-wide power coordination control system. During the commissioning of the hot helium temperature controller, the optimal differential time constant and proportional gain are obtained based on the response curves of the process state variables in the plant-wide power coordination system. In a complex large-scale system with multiple inputs and multiple outputs, such as a high-temperature gas-cooled reactor demonstration project, a commissioning relationship is established based on the close coupling relationship between each control variable and the controlled variable. This ensures that the commissioning results conform to the complex control process of the high-temperature gas-cooled reactor. The device can simulate and verify the regulation characteristics of the plant-wide power automatic control and regulation system controlling the helium temperature control system in advance, avoiding frequent disturbances to the unit during actual engineering applications, achieving accurate control, and enabling the commissioning results to more accurately control the effective operation of the high-temperature gas-cooled reactor.

[0145] Furthermore, this embodiment also discloses an electronic device, including:

[0146] One or more processors;

[0147] A storage unit is used to store one or more programs, which, when executed by one or more processors, enable the one or more processors to implement the helium temperature simulation method for a plant-wide power coordination control system described above.

[0148] Furthermore, this embodiment also discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, can implement the helium temperature simulation method for a plant-wide power coordination control system described above.

[0149] The computer-readable medium may be included in the apparatus, device, or system disclosed herein, or it may exist independently.

[0150] In data processing, video stream data, image data, database data, and statistical results data are processed using data processing tools appropriate to their respective data types. For data management, integrated management tools are employed, enabling the creation of a unified data management catalog, index, and standards. The incoming data is processed and stored in stages, with full-cycle correlation and analysis.

[0151] The computer-readable storage medium may be any tangible medium that contains or stores a program, and may be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device. More specific examples include, but are not limited to, electrical connections having one or more wires, portable computer disks, hard disks, optical fibers, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0152] The computer-readable storage medium may also include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code, specific examples of which include, but are not limited to, electromagnetic signals, optical signals, or any suitable combination thereof.

[0153] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0154] It is understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of this disclosure, and this disclosure is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of this disclosure, and these modifications and improvements are also considered to be within the scope of protection of this disclosure.

Claims

1. A method for simulating helium temperature in a plant-wide power coordination control system, characterized in that, The method includes: By setting the proportional gain of the hot helium temperature controller to zero, the proportional action of the hot helium temperature controller is turned off, and the hot helium temperature controller is made to perform differential action, simulating the application of a negative reactive perturbation. Adjust the differential time constant of the hot helium temperature controller to obtain the response curves of the process state variables in the whole plant power coordination system under different differential time constants, and obtain the response curves under differential action; The optimal differential time constant is obtained from the response curve under the differential action. After obtaining the optimal differential time constant based on the response curve under the differential action, the process includes: The hot helium temperature controller is made to perform proportional and derivative actions, and the derivative time constant of the hot helium temperature controller is made to be the optimal derivative time constant, and a disturbance of the hot helium temperature setpoint is applied. Adjust the proportional gain of the hot helium temperature controller to obtain the response curves of the process state variables in the whole plant power coordination system under different proportional gains, and obtain the response curves under proportional action and derivative action; The optimal proportional gain is obtained based on the response curves under the proportional and differential actions.

2. The helium temperature simulation method for a plant-wide power coordination control system according to claim 1, characterized in that, The process of obtaining the optimal differential time constant based on the response curve under the differential action includes: The optimal differential time constant is obtained based on at least one of the following: the anti-disturbance performance, the callback speed, and the oscillation of the response curve under the differential action.

3. The helium temperature simulation method for a plant-wide power coordination control system according to claim 1, characterized in that, The process of obtaining the optimal proportional gain based on the response curves under the proportional and differential actions includes: The optimal proportional gain is obtained based on the callback speed and / or oscillation of the response curves under the proportional and differential actions.

4. The helium temperature simulation method for a plant-wide power coordination control system according to claim 1, characterized in that, The adjustment of the differential time constant of the hot helium temperature controller includes: The differential time constant of the hot helium temperature controller is set to a small value, and the differential time constant is gradually increased using a successive approximation method.

5. The helium temperature simulation method for a plant-wide power coordination control system according to claim 1, characterized in that, The adjustment of the proportional gain of the hot helium temperature controller includes: Set the proportional gain of the hot helium temperature controller to a small value and gradually increase the proportional gain.

6. The helium temperature simulation method for a plant-wide power coordination control system according to claim 1, characterized in that, The simulation applies a negative reactive perturbation, including: A small negative reactive disturbance was introduced by simulating the manual insertion of the compensation rod at maximum speed.

7. The helium temperature simulation method for a plant-wide power coordination control system according to claim 1, characterized in that, The perturbation of applying a hot helium temperature setpoint includes: Apply a positive or negative step change signal with a small amplitude of the hot helium temperature setpoint.

8. A helium temperature simulation method for a plant-wide power coordination control system according to any one of claims 1 to 7, characterized in that, The process state variables include at least one of the following: nuclear power setpoint correction, control rod drive mechanism drive signal, each control rod position, nuclear power, reactor outlet hot helium temperature, evaporator outlet steam temperature, and output thermal power. The response curve includes the open-loop dynamic response curve of the process state variables from initial to steady state.

9. A helium temperature simulation device for a plant-wide power coordination control system, characterized in that, The apparatus used in the helium temperature simulation method for a plant-wide power coordination control system according to any one of claims 1 to 8 includes: The differential setting module is used to disable the proportional action of the hot helium temperature controller by setting the proportional gain of the hot helium temperature controller to zero, thereby enabling the hot helium temperature controller to perform differential action and simulating the application of a negative reactive perturbation. The differential action response curve acquisition module is used to adjust the differential time constant of the hot helium temperature controller, acquire the response curves of the process state variables in the whole plant power coordination system under different differential time constants, and obtain the response curve under differential action. The differential time constant selection module is used to obtain the optimal differential time constant based on the response curve under the differential action.

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