Dynamic intermittent regulation method, device, equipment, storage medium and program product
By using a dynamic intermittent control method and intermittent control signals and system energy function criteria, the problems of severe wear and high maintenance costs of actuators in traditional continuous control are solved, achieving lower cost, longer life and more stable power system control.
Patent Information
- Application Number
- CN202610272844.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-06
- Publication Date
- 2026-06-26
Smart Images
Figure CN122292531A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of power technology, and in particular to a dynamic intermittent control method, apparatus, equipment, storage medium, and program product. Background Technology
[0002] In the field of safety and stability control of single-unit infinite bus power network systems, traditional technologies generally adopt control strategies based on continuous feedback, such as conventional automatic voltage regulators (AVRs) and power system stabilizers (PSS). These methods achieve stability by continuously monitoring and fine-tuning the system state (such as voltage, frequency, and power angle) over a time scale. However, from the perspectives of system structure, control flow, and execution logic, traditional continuous control schemes suffer from poor control performance in terms of structural losses, dynamic quality, and control efficiency. Summary of the Invention
[0003] Therefore, it is necessary to provide a dynamic intermittent control method, apparatus, device, storage medium, and program product that can effectively control the aforementioned technical problems.
[0004] Firstly, this application provides a dynamic intermittent control method, the method comprising:
[0005] Obtain the grid connection expectation value of a single-unit infinite bus power network system, as well as the actual state value of the single-unit infinite bus power network system;
[0006] Based on the expected grid connection value and the actual state value, intermittent control signals are output to control the action of the actuator; among them, the intermittent control signals are used to indicate the frequency of action through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
[0007] In one embodiment, before obtaining the expected grid connection value of the single-machine infinite bus power network system, the method further includes:
[0008] A model of a single-machine infinite bus power network system is obtained by modeling the single-machine infinite bus power network system.
[0009] Based on a single-unit infinite bus power network system model, the grid connection status of the single-unit infinite bus power network system is determined.
[0010] In one embodiment, the model of a single-machine infinite bus power network system is as follows:
[0011] ;
[0012] Where N is the number of generator sets, For the first The rotor power angle of each generator set for The derivative, For the first The rotor angular velocity of each generator set for The derivative, For the first Control inputs for each generator set This is the coupling matrix between generator sets. For rotational inertia, The electromagnetic torque of the generator set, For mechanical torque, is the damping coefficient.
[0013] In one embodiment, the actual state values include the generator set's rotor power angle and the generator set's rotor angular velocity;
[0014] Obtain the actual state values of a single-machine infinite bus power network system, including:
[0015] The generator set receives the rotor power angle from the position sensor of the single-unit infinite bus power network system; and receives the rotor angular velocity from the angular velocity sensor of the single-unit infinite bus power network system.
[0016] In one embodiment, based on the expected grid connection value and the actual state value, an intermittent control signal is output, including:
[0017] Based on the expected grid connection value, calculate the deviation between the expected grid connection value and the actual state value of the power network system.
[0018] Based on the expected grid connection value and the deviation value, calculate and adjust the rotor power angle and rotor angular velocity of the generator set in the single-unit infinite bus power network system.
[0019] In one embodiment, the method further includes:
[0020] Based on a single-machine infinite bus power network system model, the system energy function is obtained;
[0021] By introducing a criterion based on the system energy function, the intervention timing selection strategy is determined when a single-unit infinite bus power network system is in an unstable equilibrium range.
[0022] Secondly, this application also provides a dynamic intermittent control device, the device comprising:
[0023] The numerical acquisition module is used to acquire the grid connection expectation value of a single-unit infinite bus power network system, as well as the actual state value of the single-unit infinite bus power network system.
[0024] The control determination module is used to output intermittent control signals based on the expected grid connection value and the actual state value to control the action of the actuator. The intermittent control signals are used to indicate the frequency of action through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
[0025] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.
[0026] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.
[0027] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method.
[0028] The aforementioned dynamic intermittent control method, device, equipment, storage medium, and program product acquire the expected grid connection value and the actual state value of a single-unit infinite bus power network system. Based on the expected grid connection value and the actual state value, intermittent control signals are output to control the operation of the actuator. The intermittent control signals are used to indicate the frequency of operation through control commands, ensuring that the actuator remains silent when the single-unit infinite bus power network system is in a stable equilibrium range. This application, through its intermittent control signal generation mechanism, significantly reduces the frequency of control command operations, allowing the actuator to remain silent when the system is in a stable equilibrium range, only activating and applying effective control when necessary. This fundamentally reduces mechanical and electrical wear of the mechanism, significantly extends equipment lifespan, and lowers the system's total life-cycle maintenance costs. Attached Figure Description
[0029] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0030] Figure 1 This is a diagram illustrating the application environment of the dynamic intermittent control method in one embodiment;
[0031] Figure 2 This is a flowchart illustrating a dynamic intermittent control method in one embodiment;
[0032] Figure 3 This is a schematic diagram of a single-machine infinite bus power network system model in one embodiment;
[0033] Figure 4 In one embodiment A schematic diagram of the running trajectory;
[0034] Figure 5 In one embodiment A schematic diagram of the running trajectory;
[0035] Figure 6 In one embodiment A schematic diagram of the running trajectory;
[0036] Figure 7 In one embodiment A schematic diagram of the running trajectory;
[0037] Figure 8 This is a structural block diagram of a dynamic intermittent control device in one embodiment;
[0038] Figure 9 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0039] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0040] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.
[0041] Traditional technologies, at the system structure and hardware level, result in high actuator wear and high total lifecycle costs due to continuous control. Because their control logic requires instantaneous responses to even the smallest deviations, critical actuators such as the excitation system and speed controller are constantly in a state of high-frequency, low-amplitude operation. Frequent operation undoubtedly exacerbates the wear of mechanical parts and the electrical stress on power electronic components, thereby shortening equipment lifespan and increasing system maintenance frequency and replacement costs.
[0042] Secondly, at the level of control flow and dynamic performance, rigid continuous feedback is prone to "over-intervention" problems, impairing the dynamic quality of the system. Traditional control flow is a simple "sensor-response" closed loop, lacking intelligent judgment of the nature of disturbances. When the system is subjected to a small disturbance and begins to recover on its own, the continuous correction force of the controller may break the inherent damping characteristics of the system. Its reaction force produces an "overcorrection" effect, which may induce or aggravate the subsynchronous oscillation or low-frequency oscillation of the system, leading to overshoot and repeated fluctuations in the adjustment process, reducing the smoothness and reliability of the transient stability process.
[0043] Furthermore, at the level of control logic and resource efficiency, traditional methods lack precise decision-making mechanisms, leading to wasted control resources and limited adaptability. Continuous control cannot effectively distinguish between "decaying benign fluctuations" and "critical signals about to become unstable," resulting in a large amount of unnecessary control action being applied to harmless noise. This "uniform force application" mode not only wastes computing and communication resources but also prevents the controller from concentrating its most effective control force when truly facing the risk of instability due to prolonged "fatigue." In addition, its performance is highly dependent on continuous, low-latency data streams; in scenarios with limited communication conditions, its actual response speed and stability will significantly deteriorate.
[0044] Therefore, the inherent shortcomings of traditional continuous control technology in terms of structural losses, dynamic quality, and control efficiency have restricted its further development in modern power systems that pursue higher reliability, lower cost, and better dynamic performance.
[0045] Based on the aforementioned traditional technologies, this application's embodiments significantly reduce the frequency of control commands through an intermittent control signal generation mechanism. This allows the actuator to remain silent when the system is in a stable equilibrium range, only activating and applying effective control when necessary. By introducing an intelligent criterion based on the system energy function, a precise intervention timing selection strategy is proposed. This fundamentally reduces the mechanical and electrical wear of the mechanism, aiming to significantly extend the equipment's service life and reduce the system's total lifecycle maintenance costs.
[0046] This application aims to address the technical obstacles encountered in the paradigm shift from "continuous and uniform force application" to "precise force application at critical moments." The ultimate goal is to construct a new power system stability control system that is lower in cost, longer in lifespan, more stable in dynamic processes, and more intelligent in resource allocation. It should be noted that the beneficial effects or technical problems solved by the embodiments of this application are not limited to this one; they may also include other implicit or related problems, as detailed in the following description of the embodiments.
[0047] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.
[0048] The dynamic intermittent control method provided in this application embodiment can be applied to, for example... Figure 1 The application environment shown is described below. The single-unit infinite bus power network system is referred to simply as the power network system. Sensors can include, but are not limited to, position sensors and angular velocity sensors. For example, sensors can be used to collect relevant data from the single-unit infinite bus power network system. Furthermore, the actuator in this embodiment may include multiple actuators, such as excitation systems and speed controllers. This application does not limit the specific type of actuator.
[0049] The dynamic control controller, or simply the controller, is used to execute the dynamic intermittent control method of this application embodiment. Optionally, the controller can receive events generated by an event generator, such as disturbances, which cause the system to enter and be in an unstable equilibrium range, wherein the power network system can self-recover after being subjected to a disturbance. In this application embodiment, the power network system is in a stable equilibrium range when there is no disturbance.
[0050] In one exemplary embodiment, such as Figure 2 As shown, a dynamic intermittent control method is provided, which can be applied to... Figure 1 The following is an explanation using the dynamic adjustment controller (hereinafter referred to as the controller) as an example, including the following steps 202 to 204.
[0051] Step 202: Obtain the expected grid connection value of the single-unit infinite bus power network system and the actual state value of the single-unit infinite bus power network system.
[0052] The expected grid connection value (or simply expected value) refers to the expected grid connection value of the power network system under the given grid connection state of a single-unit infinite bus power network system model. Furthermore, the dynamic control controller can be initialized and relevant parameters set.
[0053] Specifically, the controller can acquire the expected grid connection value of a single-unit infinite bus power network system, as well as the actual state value of the single-unit infinite bus power network system. The actual state value can refer to the relevant values of the generator sets in the power network system. It is understood that the number of generator sets in this embodiment can be four, and this application is not limited to this.
[0054] Step 204: Based on the expected grid connection value and the actual state value, output intermittent control signals to control the operation of the actuator; wherein, the intermittent control signals are used to indicate the frequency of operation through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
[0055] Specifically, the controller can determine intermittent control signals based on the expected grid connection value and the actual state value to control the operation of the actuator; wherein, the intermittent control signals are used to indicate the frequency of operation through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
[0056] This application proposes a signal transmission scheme, designing an intermittent control signal generation mechanism for a single-unit infinite bus power network system, enabling it to activate and apply effective control only when necessary. Specifically, this intermittent control signal generation mechanism significantly reduces the frequency of control command actions, allowing the actuators to remain silent when the system is in a stable equilibrium range, activating and applying effective control only when required.
[0057] The aforementioned dynamic intermittent control method reduces mechanical and electrical wear and tear on the equipment, significantly extending its service life and lowering the system's total lifecycle maintenance costs. By addressing the technical obstacles encountered in the paradigm shift from "continuous uniform power delivery" to "precise power delivery at critical moments," a new power system stability control system with lower costs, longer lifespan, smoother dynamic processes, and more intelligent resource allocation can be constructed.
[0058] In one embodiment, before obtaining the expected grid connection value of the single-unit infinite bus power network system, the method further includes: modeling the single-unit infinite bus power network system to obtain a single-unit infinite bus power network system model; and determining the grid connection status of the single-unit infinite bus power network system based on the single-unit infinite bus power network system model.
[0059] Specifically, this application can model a single-machine infinite bus power network system, thereby obtaining a single-machine infinite bus power network system model, such as... Figure 3 The image shows a single-unit infinite bus power network system model constructed according to an embodiment of this application. Exemplarily, the single-unit infinite bus power network system model can be constructed based on relevant data and control inputs of the generator set. The single-unit infinite bus power network system model may include an infinite bus and generator set 1 to generator sets. (Generator) ).
[0060] Furthermore, the grid connection status of a single-unit infinite bus power network system can be determined based on the single-unit infinite bus power network system model.
[0061] In some embodiments, the model of a single-machine infinite bus power network system is as follows:
[0062] ;
[0063] Where N is the number of generator sets, For the first The rotor power angle of each generator set for The derivative, For the first The rotor angular velocity of each generator set for The derivative, For the first Control inputs for each generator set This is the coupling matrix between generator sets. For rotational inertia, The electromagnetic torque of the generator set, For mechanical torque, is the damping coefficient.
[0064] Specifically, N represents the number of generator sets; for example, N = 4. Regarding the... The rotor power angle of a generator set can be understood as the phase difference between the generator's excitation electromotive force and the bus voltage.
[0065] It can be understood that the grid connection state of a single-machine infinite bus power network system is given as follows:
[0066] ;
[0067] Among them, the expected values for grid connection of the power network system are set. and ; for The derivative, for The derivative of .
[0068] In one embodiment, the actual state values include the rotor power angle and rotor angular velocity of the generator set; obtaining the actual state values of the single-unit infinite bus power network system includes: receiving the rotor power angle of the generator set collected by the position sensor of the single-unit infinite bus power network system; and receiving the rotor angular velocity of the generator set collected by the angular velocity sensor of the single-unit infinite bus power network system.
[0069] Specifically, data can be collected from position sensors and angular velocity sensors in a single-unit infinite bus power network. and It is then transmitted to the controller via the communication module.
[0070] In one embodiment, outputting intermittent control signals based on the expected grid connection value and the actual state value includes: calculating the deviation between the expected grid connection value and the actual state value of the power network system based on the expected grid connection value; and calculating and adjusting the rotor power angle and rotor angular velocity of the generator set in the single-unit infinite bus power network system based on the expected grid connection value and the deviation value.
[0071] Specifically, based on the set grid connection expectation value and The deviation between the expected grid connection value and the actual state value of the power network system can be calculated using the following formula:
[0072] ;
[0073] in, This refers to the rotor power angle error. This refers to the rotor angular velocity error. for The derivative, for The derivative of .
[0074] Furthermore, the power network system is adjusted based on the expected value and the deviation value. and As shown in the following formula: ;
[0075] in, To control the gain, and Representing the controller's first The number of work cycles and rest cycles can be determined by the following conditions: ;in, This indicates the lower bound of the selected condition. It is an exponential function. , , , This is the threshold parameter.
[0076] Regarding the system energy function in the embodiments of this application, in one embodiment, the method further includes: obtaining the system energy function based on a single-machine infinite bus power network system model; and determining the intervention timing selection strategy when the single-machine infinite bus power network system is in an unstable equilibrium range by introducing a criterion based on the system energy function.
[0077] Specifically, the effectiveness of the control strategy can be proven using an energy function of the following form: .
[0078] Furthermore, it can be calculated time derivative As shown in the following formula:
[0079] ;
[0080] analyze time, As shown in the following formula:
[0081] ;
[0082] Through mathematical induction, it can be concluded that the single-machine infinite bus power network system is stable under the dynamic intermittent control method of the embodiments of this application.
[0083] This application proposes a dynamic intermittent control method for a single-unit infinite bus power network system, comprising two parts: signal transmission scheme design and energy function design. The signal transmission method includes designing an intermittent control signal generation mechanism for the single-unit infinite bus power network system, enabling it to activate and apply effective control only when necessary. The energy function design involves constructing the system energy function based on a mathematical model of the single-unit infinite bus power network system and designing a precise intervention timing selection strategy. This can effectively extend equipment lifespan and reduce mechanical and electrical wear.
[0084] To further illustrate the present application, a specific example is provided below. The dynamic adjustment and control scheme of this application may include the following steps:
[0085] Step 1.1: Set the desired grid connection values for the power network system and Initialize the dynamic adjustment controller and set the control gain. and threshold parameters , , , .
[0086] Step 1.2: Collect data from position sensors and angular velocity sensors of the single-unit infinite bus power network system. and It is then transmitted to the controller via the communication module.
[0087] Step 1.3: Based on the set grid connection expectation values and The deviation between the expected grid connection value and the actual state value of the power network system is calculated as follows:
[0088] ;
[0089] in, This refers to the rotor power angle error. This represents the rotor angular velocity error.
[0090] Step 1.4: Calculate and adjust the power network system based on the expected value and the deviation value. and As shown in the following formula:
[0091] ;
[0092] in, and Representing the controller's first The number of work cycles and rest cycles can be determined by the following conditions:
[0093] ;
[0094] in, This indicates the lower bound of the selected condition. It is an exponential function. , , , This is the threshold parameter.
[0095] The proof of the effectiveness of the control strategy is as follows:
[0096] The energy function can be selected in the following forms: .
[0097] Furthermore, it can be calculated time derivative As shown in the following formula:
[0098] ;
[0099] analyze time, As shown in the following formula:
[0100] ;
[0101] Through mathematical induction, it can be concluded that a single-machine infinite bus power network system is stable under the dynamic intermittent control method designed in this invention.
[0102] Furthermore, after simulation verification, the simulation curves are shown below: Figure 4 As shown The trajectory of the movement, such as Figure 5 As shown The trajectory of the movement, such as Figure 6 As shown The trajectory of the movement, such as Figure 7 As shown The trajectory of its movement. From Figure 4 and Figure 5 As can be seen from the embodiments of this application, the dynamic control method can effectively ensure the power grid system and Consistency. From Figure 6 and Figure 7 It can be seen from this that and Compared with expected value and The error eventually tends to 0.
[0103] This application proposes an intermittent control signal generation mechanism, significantly reducing the frequency of control commands. This allows the actuator to remain silent when the system is in a stable equilibrium range, only activating and applying effective control when necessary. Furthermore, this application introduces an intelligent criterion based on the system energy function to design a precise intervention timing selection strategy. This reduces mechanical and electrical wear on the mechanism, aiming to significantly extend equipment lifespan and lower the system's total lifecycle maintenance costs.
[0104] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.
[0105] Based on the same inventive concept, this application also provides a dynamic intermittent control device for implementing the dynamic intermittent control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the dynamic intermittent control device provided below can be found in the limitations of the dynamic intermittent control method described above, and will not be repeated here.
[0106] In one exemplary embodiment, such as Figure 8 As shown, a dynamic intermittent control device is provided, comprising:
[0107] The numerical acquisition module 901 is used to acquire the grid connection expectation value of a single-unit infinite bus power network system and the actual state value of the single-unit infinite bus power network system.
[0108] The control determination module 902 is used to output intermittent control signals based on the expected grid connection value and the actual state value to control the action of the actuator; wherein, the intermittent control signal is used to indicate the frequency of action through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
[0109] In one embodiment, the apparatus further includes: a modeling module for modeling a single-unit infinite bus power network system to obtain a single-unit infinite bus power network system model; and a grid connection status determination module for determining the grid connection status of the single-unit infinite bus power network system based on the single-unit infinite bus power network system model.
[0110] In one embodiment, the model of a single-machine infinite bus power network system is as follows:
[0111] ;
[0112] Where N is the number of generator sets, For the first The rotor power angle of each generator set for The derivative, For the first The rotor angular velocity of each generator set for The derivative, For the first Control inputs for each generator set This is the coupling matrix between generator sets. For rotational inertia, The electromagnetic torque of the generator set, For mechanical torque, is the damping coefficient.
[0113] In one embodiment, the actual state values include the rotor power angle and the rotor angular velocity of the generator set; the value acquisition module 901 is used to receive the rotor power angle of the generator set collected by the position sensor of the single-unit infinite bus power network system; and to receive the rotor angular velocity of the generator set collected by the angular velocity sensor of the single-unit infinite bus power network system.
[0114] In one embodiment, the root control determination module 902 is used to calculate the deviation between the expected grid connection value and the actual state value of the power network system based on the expected grid connection value; and to calculate and adjust the rotor power angle and rotor angular velocity of the generator set of the single-unit infinite bus power network system according to the expected grid connection value and the deviation value.
[0115] In one embodiment, the device further includes: an energy function introduction module, used to obtain the system energy function based on a single-machine infinite bus power network system model; and to determine the intervention timing selection strategy when the single-machine infinite bus power network system is in an unstable equilibrium range by introducing a criterion based on the system energy function.
[0116] Each module in the aforementioned dynamic intermittent control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.
[0117] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 9 As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores model data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a dynamic intermittent control method.
[0118] Those skilled in the art will understand that the structure shown in the figure for dynamic intermittent control is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0119] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.
[0120] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.
[0121] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.
[0122] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.
[0123] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0124] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A dynamic intermittent control method, characterized in that, The method includes: Obtain the expected grid connection value of the single-machine infinite bus power network system, as well as the actual state value of the single-machine infinite bus power network system; Based on the expected grid connection value and the actual state value, intermittent control signals are output to control the operation of the actuator; wherein, the intermittent control signals are used to indicate the frequency of operation through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
2. The method according to claim 1, characterized in that, Before obtaining the expected grid connection values for a single-machine infinite bus power network system, the method further includes: A model of a single-machine infinite bus power network system is obtained by modeling the single-machine infinite bus power network system. Based on the single-machine infinite bus power network system model, the grid connection status of the single-machine infinite bus power network system is determined.
3. The method according to claim 2, characterized in that, The model of the single-machine infinite bus power network system is as follows: ； Where N is the number of generator sets, For the first The rotor power angle of each generator set for The derivative, For the first The rotor angular velocity of each generator set for The derivative, For the first Control inputs for each generator set This is the coupling matrix between generator sets. For rotational inertia, The electromagnetic torque of the generator set, For mechanical torque, is the damping coefficient.
4. The method according to claim 1, characterized in that, The actual state values include the rotor power angle and rotor angular velocity of the generator set; Obtaining the actual state values of the single-machine infinite bus power network system includes: Receive the rotor power angle of the generator set collected by the position sensor of the single-unit infinite bus power network system; And receive the rotor angular velocity of the generator set from the angular velocity sensor of the single-unit infinite bus power network system.
5. The method according to any one of claims 1 to 4, characterized in that, Based on the expected grid connection value and the actual state value, an intermittent control signal is output, including: Based on the expected grid connection value, calculate the deviation between the expected grid connection value and the actual state value of the power network system; Based on the expected grid connection value and the deviation value, the rotor power angle and rotor angular velocity of the generator set in the single-unit infinite bus power network system are calculated and adjusted.
6. The method according to claim 1, characterized in that, The method further includes: Based on the single-machine infinite bus power network system model, the system energy function is obtained; By introducing a criterion based on the system energy function, an intervention timing selection strategy is determined when the single-machine infinite bus power network system is in an unstable equilibrium range.
7. A dynamic intermittent control device, characterized in that, The device includes: The numerical acquisition module is used to acquire the grid connection expectation value of the single-machine infinite bus power network system, as well as the actual state value of the single-machine infinite bus power network system. The control determination module is used to output intermittent control signals based on the expected grid connection value and the actual state value to control the action of the actuator; wherein, the intermittent control signals are used to indicate the frequency of action through control commands, so that the actuator remains silent when the single-machine infinite bus power network system is in a stable equilibrium range.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.