Control method and device of intelligent excitation system, computer equipment and storage medium

Abstract

The invention relates to a control method and device of an intelligent excitation system, computer equipment and a storage medium. The method comprises the following steps: acquiring real-time operation data of each candidate control cabinet in the intelligent excitation system; the candidate control cabinets comprise at least two power cabinets and field suppression cabinets; according to the real-time operation data, executing a main node election operation on each candidate control cabinet, and determining a control right priority of each candidate control cabinet according to a sequence that each candidate control cabinet is elected to be a main node by the main node election operation; determining a target control cabinet from each candidate control cabinet in the intelligent excitation system according to the control right priority under the condition that an excitation regulation cabinet in the intelligent excitation system breaks down; and transferring a main control node of the intelligent excitation system from the excitation adjusting cabinet to the target control cabinet so as to control the operation of the intelligent excitation system through the target control cabinet. By adopting the method, the operation reliability of the intelligent excitation system can be improved when the system breaks down.

Description

Technical Field

[0001] The present application relates to the technical field of generator control, and in particular to a control method, device, computer equipment, computer-readable storage medium and computer program product for an intelligent excitation system. Background Art

[0002] The excitation system is an important part of the generator. By adjusting the excitation current of the generator rotor, the output voltage and power of the generator are controlled to ensure the voltage stability and safe operation of the power system. In the power system, the stable operation of the excitation system is crucial to ensure the security, frequency stability and rapid response of the power grid. With the widespread application of artificial intelligence technology in the power system, the intelligent excitation system can achieve precise control of the excitation current of the generator through digitalization, automation and intelligent technology. It can monitor the operating status of the generator in real time, and adaptively adjust the excitation current according to the needs and working conditions of the power system to maintain the stability of the output voltage and power of the generator, while improving the safety, stability and reliability of the system. In the traditional control method of the intelligent excitation system, when a system failure occurs, the system will transfer the online control right to the pre-set, highest priority intelligent power cabinet. However, the transfer of online control rights according to the pre-set priority may result in the control right being mistakenly transferred to the power cabinet that is already in a sub-healthy or potential fault state, resulting in reduced operating reliability of the intelligent excitation system when the system fails. Summary of the invention

[0003] Based on this, it is necessary to provide a control method, device, computer equipment, computer-readable storage medium and computer program product for an intelligent excitation system that can improve the operating reliability of the intelligent excitation system when a system failure occurs in order to solve the above technical problems.

[0004] In a first aspect, the present application provides a control method for an intelligent excitation system, comprising:

[0005] Acquire real-time operation data of each candidate control cabinet in the intelligent excitation system; the candidate control cabinets include at least two power cabinets and a demagnetization cabinet;

[0006] According to the real-time operation data, a master node election operation is performed on each of the candidate control cabinets, and the control priority of each of the candidate control cabinets is determined according to the order in which each of the candidate control cabinets is elected as a master node by the master node election operation;

[0007] In the event of a failure of the excitation regulating cabinet in the intelligent excitation system, a target control cabinet is determined from the candidate control cabinets in the intelligent excitation system according to the control priority; the target control cabinet is the candidate control cabinet with the highest control priority;

[0008] The main control node of the intelligent excitation system is transferred from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet.

[0009] In one embodiment, performing a master node election operation on each candidate control cabinet according to the real-time operation data, and determining the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as a master node by the master node election operation, includes:

[0010] Determine a queue of nodes to be sorted; each node in the queue of nodes to be sorted represents each of the candidate control cabinets for which the control priority is to be determined;

[0011] According to the real-time operation data corresponding to each candidate control cabinet, the health score corresponding to each node in the queue of nodes to be sorted is obtained;

[0012] Select the node with the highest health score from the queue of nodes to be sorted as the master node;

[0013] The master node is removed from the queue of nodes to be sorted to obtain an updated queue of nodes to be sorted, and the process returns to the step of obtaining the health score corresponding to each node in the queue of nodes to be sorted according to the real-time operation data corresponding to each candidate control cabinet, until the loop end condition is met;

[0014] The control priority of each candidate control cabinet is determined according to the order in which each candidate control cabinet is elected as the master node; wherein, the earlier the order in which the candidate control cabinet is elected as the master node, the higher the control priority.

[0015] In one embodiment, after transferring the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, the method further includes:

[0016] In the event of a failure of the target control cabinet, the main control node of the intelligent excitation system is transferred from the target control cabinet to the alternative control cabinet, so as to control the operation of the intelligent excitation system through the alternative control cabinet;

[0017] The candidate control cabinet is a candidate control cabinet with the second highest priority of the control right.

[0018] In one embodiment, obtaining the health score corresponding to each node in the to-be-sorted node queue according to the real-time operation data corresponding to each candidate control cabinet includes:

[0019] For the operation data of any dimension in the real-time operation data corresponding to any candidate control cabinet, convert the operation data of any dimension into a score value according to the scoring rule corresponding to the operation data of any dimension;

[0020] Determine the health score corresponding to any of the candidate control cabinets according to the score values ​​of each dimension;

[0021] The health score corresponding to each node in the to-be-sorted node queue is determined according to the health score corresponding to each of the candidate control cabinets.

[0022] In one of the embodiments, the real-time operation data includes operation data of at least one of the following dimensions: processor usage, processor response time, operation status of a memory chip, and operation status of a field programmable gate array.

[0023] In one of the embodiments, the method further includes: when a fault occurs in the demagnetization cabinet, stopping the operation of the intelligent excitation system and outputting fault information.

[0024] In a second aspect, the present application also provides a control device for an intelligent excitation system, comprising:

[0025] An acquisition module is used to acquire real-time operation data of each candidate control cabinet in the intelligent excitation system; the candidate control cabinets include at least two power cabinets and a demagnetization cabinet;

[0026] An election module, used to perform a master node election operation on each of the candidate control cabinets according to the real-time operation data, and determine the control priority of each of the candidate control cabinets according to the order in which each of the candidate control cabinets is elected as the master node by the master node election operation;

[0027] A determination module, configured to determine a target control cabinet from the candidate control cabinets in the intelligent excitation system according to the control priority when an excitation regulating cabinet in the intelligent excitation system fails; the target control cabinet is the candidate control cabinet with the highest control priority;

[0028] A transfer module is used to transfer the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet.

[0029] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0030] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0031] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of the above method when executed by a processor.

[0032] The control method, device, computer equipment, computer-readable storage medium and computer program product of the above-mentioned intelligent excitation system obtain real-time operation data of each candidate control cabinet in the intelligent excitation system, wherein the candidate control cabinets include at least two power cabinets and a demagnetization cabinet; according to the real-time operation data, perform a master node election operation on each candidate control cabinet, and determine the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as the master node by the master node election operation; in the event of a failure of the excitation regulation cabinet in the intelligent excitation system, determine the target control cabinet from the candidate control cabinets in the intelligent excitation system according to the priority, wherein the target control cabinet is the candidate control cabinet with the highest control priority; transfer the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet. In the event of a failure in the intelligent excitation system, the control priority is dynamically adjusted based on the real-time operating data of the candidate control cabinets and the master node election operation, effectively avoiding the problem of traditional methods that may transfer control to power cabinets in sub-healthy or potential fault states due to reliance on preset priorities. Under the dynamic system conditions and complex fault scenarios, the target control cabinet with the best operating status can be adaptively selected to ensure that the excitation system can still operate stably and reliably in fault scenarios, thereby improving the operating reliability of the intelligent excitation system when a system failure occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 An application environment diagram of a control method for an intelligent excitation system in an embodiment;

[0035] Figure 2 A schematic flow chart of a control method of an intelligent excitation system in one embodiment;

[0036] Figure 3 A schematic flow chart of a control method for an intelligent excitation system in another embodiment;

[0037] Figure 4 A structural block diagram of a control device of an intelligent excitation system in an embodiment;

[0038] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0040] The control method of the intelligent excitation system provided in the embodiment of the present application can be applied to Figure 1 In the intelligent excitation system 102 shown. The intelligent excitation system 102 is an important component of the generator. It generates a magnetic field by providing a DC excitation current to the rotor winding of the generator, thereby controlling the output voltage and power of the generator. The stable operation of the intelligent excitation system 102 is crucial to maintaining the stability of the grid voltage and improving the performance of the generator. The intelligent excitation system 102 is a system that accurately controls the excitation current of the generator through digital, automated and intelligent technologies. It can monitor the operating status of the generator in real time, and adaptively adjust the excitation current according to the needs of the power system and the changes in the working conditions to maintain the stability of the output voltage and power of the generator, while improving the safety, stability and reliability of the system. The intelligent excitation system 102 may include an excitation regulating cabinet 104, a demagnetization cabinet 106, and a power cabinet 108. Each excitation regulating cabinet 104 is connected to the demagnetization cabinet 106 and the power cabinet 108 through a communication network, for example, it can be connected through an optical fiber point-to-point network.

[0041] The excitation regulating cabinet 104 may be the core control device in the intelligent excitation system 102, and is used to regulate and control the excitation current of the generator. It collects the voltage, current and other parameters of the generator in real time, and regulates the excitation current through the control algorithm to ensure the stability of the generator output voltage. The excitation regulating cabinet 104 assumes the main control task under normal circumstances, and needs to transfer the control right to the backup device when it fails.

[0042] The demagnetization cabinet 106 can be a device for quickly cutting off the excitation current of the generator. Its main function is to quickly eliminate the rotor magnetic field in an emergency (such as when the generator fails or the overvoltage protection is activated) to prevent the generator from being damaged or the grid failure from expanding. The demagnetization cabinet 106 can achieve rapid demagnetization through automatic control and has a self-diagnosis function.

[0043] The power cabinet 108 may be a device in the intelligent excitation system for providing excitation current to the rotor winding of the generator, and generally includes a power converter and a current regulator. The power cabinet 108 has an independent control module, which can provide the required excitation current according to the instructions of the excitation regulating cabinet 104, and has health monitoring, fault diagnosis and redundant switching functions. When the excitation regulating cabinet 104 fails, the power cabinet 108 can independently take over the control task of the intelligent excitation system.

[0044] In an exemplary embodiment, Figure 2 As shown, a control method for an intelligent excitation system is provided. Figure 1 The intelligent excitation system 102 in FIG. 1 is used as an example for explanation, including:

[0045] Step S202, obtaining real-time operation data of each candidate control cabinet in the intelligent excitation system.

[0046] The candidate control cabinet may be a standby control cabinet that can be used to replace the excitation regulation cabinet as the main control node when the excitation regulation cabinet fails.

[0047] Among them, the candidate control cabinets include at least two power cabinets and a demagnetization cabinet. Optionally, the real-time operation data of the power cabinet may include: the excitation current and voltage value provided by the power cabinet to the generator, the current working mode of the power cabinet (such as normal operation, standby, fault, etc.), the hardware health status of the power cabinet (such as the computing load of the power cabinet, the time delay of the power cabinet in processing control instructions, the working status of the field programmable gate array in the power cabinet, the availability and read and write speed of the storage unit, etc.).

[0048] Optionally, the real-time operation data of the demagnetization cabinet may include whether it is currently in a demagnetization operation state, hardware health monitoring data (such as environmental parameters such as temperature, humidity, vibration, whether there are potential faults, etc.).

[0049] In specific implementation, sensors can be installed inside the power cabinet and demagnetization cabinet to collect data such as voltage, current, temperature, vibration, etc., and a fixed collection period can be set, such as 100 milliseconds or 1 second, to ensure real-time data update.

[0050] Step S204, performing a master node election operation on each candidate control cabinet according to the real-time operation data, and determining the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as a master node by the master node election operation.

[0051] The master node election operation may be a process of prioritizing all candidate control cabinets according to a predetermined election algorithm. Optionally, the master node election operation may include: giving priority to candidate control cabinets that are in a healthy state and have no fault records as master nodes; selecting candidate control cabinets with high operating efficiency and superior performance as master nodes; giving priority to candidate control cabinets that have the ability to handle the current working load; and ensuring that the elected master node has a certain degree of redundancy in the system operation to cope with emergencies.

[0052] In a specific implementation, the candidate control cabinets can be sorted according to the comprehensive score (such as health score or priority value) calculated by the election algorithm to form the master node election order. For example, the candidate control cabinet with the highest score is preferentially elected as the master node, and then arranged in order. According to the order generated by the master node election operation, the control priority of each candidate control cabinet is determined. For example, the control cabinet ranked first has the highest priority, and when it is unavailable, it is transferred to the control cabinets ranked later in turn.

[0053] Step S206: when an excitation regulating cabinet in the intelligent excitation system fails, a target control cabinet is determined from candidate control cabinets in the intelligent excitation system according to the control right priority.

[0054] Among them, the target control cabinet is the candidate control cabinet with the highest control priority.

[0055] Since the excitation control cabinet is the main control device of the intelligent excitation system, it is responsible for daily excitation current regulation and system stability control. When the excitation control cabinet fails, in order to maintain the normal operation of the generator and power system, the control must be quickly transferred to other healthy equipment (such as power cabinet or demagnetization cabinet).

[0056] It should be noted that in complex intelligent excitation systems, in order to ensure that the system can still operate stably in the event of multiple point failures, it is necessary to design multi-level redundancy and use the demagnetization cabinet as a potential control takeover node to enhance the fault tolerance of the intelligent excitation system. The demagnetization cabinet is similar to the power cabinet in hardware and control logic and has basic excitation control capabilities.

[0057] Among them, the target control cabinet can be a spare control cabinet dynamically selected by the system according to the latest control priority when the excitation regulation cabinet fails. It is usually an intelligent power cabinet or demagnetization cabinet with the best health status and control capability.

[0058] The control priority is dynamically updated based on the real-time operating data of each power cabinet and demagnetization cabinet. The higher the control priority of the candidate control cabinet, the better the health status and operating performance, and the more suitable it is to take over the control in case of a fault and become the main control node for controlling the operation of the intelligent excitation system.

[0059] In the specific implementation, the intelligent excitation system can monitor the failure of the excitation regulation cabinet (such as communication interruption, overtemperature, hardware failure, etc.), read the latest control priority of the power cabinet and demagnetization cabinet, sort the control priority from high to low, and select the device with the highest current control priority as the target control cabinet. Optionally, the availability of the target control cabinet can be further verified, such as whether the communication is normal, whether the load is within the acceptable range, etc., and finally confirm the device with the best health and availability as the target control cabinet.

[0060] It can be seen that when the excitation regulation cabinet fails, the backup control cabinet can be quickly identified to reduce the system interruption time and achieve a quick response to the fault; avoid transferring control to sub-healthy or potentially faulty equipment and improve the reliability of control transfer; through dynamic priority management, ensure that the system can adapt to different operating states and fault conditions and improve fault tolerance; ensure that in the event of failure of the main control equipment, the operation of the intelligent excitation system can be sustained and stable to prevent power system fluctuations or collapse.

[0061] Step S208: transferring the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet.

[0062] Among them, the main control node can be the core device in the intelligent excitation system that undertakes the real-time excitation current regulation and control functions. Under normal circumstances, the excitation regulation cabinet serves as the main control node; in the event of a fault, the selected target control cabinet (such as the smart power cabinet with the best health status) serves as the main control node.

[0063] In the specific implementation, when the intelligent excitation system detects a fault in the excitation regulation cabinet, it confirms that the excitation regulation cabinet cannot continue to perform the main control task; the candidate control cabinet with the highest control priority and the best health status is used as the target control cabinet; the target control cabinet is set as the new main control node, and optionally, the necessary control parameters (such as excitation current setting value, control algorithm status, etc.) are initialized to ensure that the data of the target control cabinet and other devices are synchronized and consistent to avoid data loss or errors during the switching process; the control output of the excitation regulation cabinet is stopped, and the target control cabinet is started to take over the control of the intelligent excitation system and start to adjust the excitation current to ensure that the switching process is smooth and seamless, and the switching time is controlled at the millisecond level; the operating status of the target control cabinet is monitored to confirm that it has successfully taken over the control task of the intelligent excitation system and that the main control node of the intelligent excitation system has been successfully switched.

[0064] In the control method of the above-mentioned intelligent excitation system, real-time operation data of each candidate control cabinet in the intelligent excitation system is obtained, wherein the candidate control cabinets include at least two power cabinets and a demagnetization cabinet; according to the real-time operation data, a master node election operation is performed on each candidate control cabinet, and the control priority of each candidate control cabinet is determined according to the order in which each candidate control cabinet is elected as the master node by the master node election operation; in the event that an excitation regulation cabinet in the intelligent excitation system fails, a target control cabinet is determined from each candidate control cabinet in the intelligent excitation system according to the priority, wherein the target control cabinet is the candidate control cabinet with the highest control priority; the main control node of the intelligent excitation system is transferred from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet. In the event of a failure in the intelligent excitation system, the control priority is dynamically adjusted based on the real-time operating data of the candidate control cabinets and the master node election operation, effectively avoiding the problem of traditional methods that may transfer control to power cabinets in sub-healthy or potential fault states due to reliance on preset priorities. Under the dynamic system conditions and complex fault scenarios, the target control cabinet with the best operating status can be adaptively selected to ensure that the excitation system can still operate stably and reliably in fault scenarios, thereby improving the operating reliability of the intelligent excitation system when a system failure occurs.

[0065] In another embodiment, according to the real-time operation data, a master node election operation is performed on each candidate control cabinet, and the control priority of each candidate control cabinet is determined according to the order in which each candidate control cabinet is elected as the master node by the master node election operation, including: determining a queue of nodes to be sorted; obtaining a health score corresponding to each node in the queue of nodes to be sorted according to the real-time operation data corresponding to each candidate control cabinet; selecting the node with the highest health score from the queue of nodes to be sorted as the master node; removing the master node from the queue of nodes to be sorted to obtain an updated queue of nodes to be sorted, and returning to the step of obtaining a health score corresponding to each node in the queue of nodes to be sorted according to the real-time operation data corresponding to each candidate control cabinet, until the loop end condition is met; determining the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as the master node; wherein, the earlier the order of being elected as the master node, the higher the control priority.

[0066] Wherein, each node in the node queue to be sorted represents each candidate control cabinet whose control priority is to be determined. Each candidate control cabinet constitutes a node queue to be sorted, and each node represents a candidate control cabinet whose control priority is to be determined.

[0067] Among them, the health score can be used to evaluate the current operating status, reliability and adaptability of the candidate control cabinet. The higher the health score, the better the status of the candidate control cabinet.

[0068] In the specific implementation, among all candidate control cabinets, the node with the highest score is selected as the master node according to the health score. Assume that there are three power cabinets (A, B, C) and one demagnetization cabinet (D), and the health scores are as follows: power cabinet A: 95; demagnetization cabinet D: 90; power cabinet B: 85; power cabinet C: 80. In the first round of election, power cabinet A has the highest health score and is selected as the master node. The selected master node (such as power cabinet A) is removed from the queue of nodes to be sorted to ensure that the next round of election is carried out in the remaining devices. Among the remaining candidate control cabinets, the node with the highest health score is selected as the master node again, and continues to be removed, and this process is repeated until all nodes are elected. For example, in the second round of election, demagnetization cabinet D has the highest health score and is selected as the master node; in the third round of election, power cabinet B is selected as the master node; in the fourth round of election, power cabinet C is selected as the master node. Among them, the loop end condition can be when each candidate control cabinet has been elected as the master node, the iterative process ends. Among them, the loop end condition can be when all candidate control cabinets have been elected as the master node, the iterative process ends. Finally, the control priority of each candidate control cabinet can be: power cabinet A, demagnetization cabinet D, power cabinet B, power cabinet C. It can be seen that according to the health score of each candidate control cabinet, its control priority is dynamically determined, and the node with the highest health score is elected as the master node in rounds, and it is eliminated after the master node is elected until all nodes are elected, and finally the priority is determined according to the election order.

[0069] The technical solution of this embodiment ensures that the master nodes selected in each round are the devices with the best health status through round-by-round elections and eliminations, and ensures that the system can give priority to the device with the highest health score to take over the control right in case of failure; gradually optimize the control right priority sorting through multiple rounds of iterations, comprehensively evaluate the health status of all devices, avoid the misjudgment that may be caused by a single election, and ensure the accuracy of the control right priority sorting; all devices are elected to ensure the fairness of the control right priority determination process, and dynamically reflect the real-time status of the device through the health score to improve the accuracy of the election results. In another embodiment, according to the real-time operation data corresponding to each candidate control cabinet, the health score corresponding to each node in the queue of nodes to be sorted is obtained, including: for the operation data of any dimension in the real-time operation data corresponding to any candidate control cabinet, according to the scoring rules corresponding to the operation data of any dimension, the operation data of any dimension is converted into a scoring value; according to the scoring values ​​of each dimension, the health score corresponding to any candidate control cabinet is determined; according to the health scores corresponding to each candidate control cabinet, the health score corresponding to each node in the queue of nodes to be sorted is determined.

[0070] Among them, real-time operation data may include operation data in multiple dimensions, such as voltage, current, power, CPU usage, response time, memory chip status, field programmable gate array FPGA status, temperature, humidity, vibration, fault records, abnormal status, etc.

[0071] In the specific implementation, for the operation data of each dimension, a scoring rule is preset to convert the raw data into a scoring value. The scoring rule can be a conversion based on a threshold, range, or mathematical formula. For example, in the CPU usage scoring, CPU usage ≤ 40%: 100 points (optimal state); 40% < CPU usage ≤ 70%: 80 points; CPU usage > 70%: 60 points (heavy load). For another example, in the temperature scoring, temperature ≤ 50°C: 100 points; 50°C < temperature ≤ 70°C: 80 points; temperature > 70°C: 50 points (overheating risk).

[0072] Optionally, the health score of each power cabinet and demagnetization cabinet is calculated based on the score values ​​of each dimension. A weighted average method can be used, and the score values ​​of different dimensions are given different weights according to their importance. For example, the CPU usage score: 80 (weight 0.4), the temperature score: 90 (weight 0.3), and the response time score: 85 (weight 0.3).

[0073] The technical solution of this embodiment collects multi-dimensional operating data of each candidate control cabinet in real time, calculates the health score according to the preset scoring rules, and dynamically updates the control priority according to the health score. This ensures that when a fault occurs, the system can quickly select the device with the best health status to take over the control, thereby improving the reliability and fault response capability of the intelligent excitation system.

[0074] Furthermore, in some of the embodiments, the real-time operation data includes operation data of at least one of the following dimensions: processor usage, processor response time, operation status of the memory chip, and operation status of the field programmable gate array.

[0075] Among them, the processor utilization rate can represent the computing load, that is, the CPU load expressed as a percentage. A high processor utilization rate may mean that the device is overloaded and cannot respond to new tasks quickly. A low utilization rate indicates that the device has sufficient computing resources to take over the control task.

[0076] The processor response time can represent the time required to complete the processing after receiving the instruction, usually in milliseconds (ms). A short response time indicates that the processor has good performance and can execute instructions quickly, while a long response time may indicate a decrease in processor performance or potential failure.

[0077] The operating status of the memory chip may include the health status, read / write speed, and error rate of the memory chip. A high error rate or slow read / write speed of the memory chip may result in data loss or system crash; a normal memory chip status can ensure reliable storage and reading of data.

[0078] Among them, the field programmable gate array FPGA is a programmable hardware device used for high-speed data processing and parallel computing. The normal FPGA status indicates that the hardware acceleration function of the device is operating normally; FPGA failure may cause key functions to fail and affect overall performance.

[0079] According to the technical solution of this embodiment, the operating data of the above dimensions can comprehensively and accurately reflect the health status and operating performance of the equipment.

[0080] Furthermore, in another embodiment, after the main control node of the intelligent excitation system is transferred from the excitation regulation cabinet to the target control cabinet, it also includes: in the event of a failure of the target control cabinet, the main control node of the intelligent excitation system is transferred from the target control cabinet to an alternative control cabinet, so as to control the operation of the intelligent excitation system through the alternative control cabinet; wherein the alternative control cabinet is a candidate control cabinet with the second highest control priority.

[0081] In the specific implementation, when the excitation regulating cabinet fails, the system selects the power cabinet or demagnetization cabinet with the highest health score as the target control cabinet through iterative election; the target control cabinet takes over the operation control of the intelligent excitation system to ensure that the system remains normal. When the intelligent excitation system detects that the target control cabinet fails during operation (such as hardware failure, communication interruption, overload, etc.), the fault type may include voltage abnormality, current overlimit, CPU overload, storage chip failure, FPGA abnormality, data transmission interruption or delay overlimit. According to the latest priority, the candidate control cabinet with the second highest control priority is selected as the standby control cabinet. Among them, the standby control cabinet is the node with the second highest control priority in the previous iterative election. For example, in the above example, if the target control cabinet (power cabinet A) fails, the system will select the demagnetization cabinet D (the second highest control priority) as the standby control cabinet. Then, the main control right of the intelligent excitation system is transferred from the faulty target control cabinet to the standby control cabinet, and the standby control cabinet takes over the regulation of the excitation current and the system operation control.

[0082] According to the technical solution of this embodiment, when the excitation regulating cabinet fails, the system will transfer the main control node to the target control cabinet selected according to the latest health score; in order to further improve the fault tolerance and reliability of the system, if the target control cabinet also fails after taking over the main control, the system needs to have a second line of defense, that is, to transfer the control to the alternative control cabinet (the node with the second highest control priority). This embodiment is a backup control mechanism proposed to further enhance the reliability and fault tolerance of the system after the main control node of the intelligent excitation system is transferred from the excitation regulating cabinet to the target control cabinet. Its purpose is to quickly transfer the control to the alternative control cabinet with the second highest priority when the target control cabinet fails, so as to ensure the continuous and stable operation of the intelligent excitation system.

[0083] In another embodiment, it also includes: when a demagnetization cabinet fails, stopping the operation of the intelligent excitation system and outputting fault information.

[0084] The demagnetization cabinet is a device in the intelligent excitation system that is responsible for quickly cutting off the excitation current. It mainly performs demagnetization operations in emergency situations (such as generator failure, overvoltage, or system protection action) to eliminate the magnetic field of the generator rotor to prevent equipment damage or system crash. If the demagnetization cabinet fails and cannot perform the demagnetization operation when needed, the generator may not be able to shut down quickly, further causing grid instability or equipment damage. Therefore, once a demagnetization cabinet failure is detected, safety protection measures must be taken.

[0085] In the specific implementation, the intelligent excitation system detects a fault in the demagnetization cabinet (such as the demagnetization circuit cannot be cut off, communication is interrupted, hardware failure, etc.) through sensors and monitoring modules. In order to prevent the fault from expanding, the operation of the intelligent excitation system is stopped immediately.

[0086] Among them, the methods of stopping the operation of the intelligent excitation system may include: cutting off the excitation current output to prevent the generator from continuing to operate with excitation; stopping the execution of control instructions of the main control node to put the system into a safe state.

[0087] In the specific implementation, when the intelligent excitation system stops running, fault information such as fault alarm and diagnostic information is sent to the operator or the upper monitoring system. The fault information may include the fault type (such as hardware fault, communication fault), fault location (specifically which demagnetization cabinet), fault time and status.

[0088] Optionally, the fault information can be displayed through the human-machine interface or transmitted to the dispatch center through the communication network. The generator and intelligent excitation system enter the safety protection mode, waiting for fault elimination or manual intervention to ensure that the system will not restart before the fault is repaired to prevent safety risks.

[0089] For example, when it is detected that the demagnetization cabinet D cannot perform the demagnetization operation (such as a relay failure), the operation of the power cabinets A, B, and C is immediately stopped, the excitation current is cut off, and the generator is prevented from continuing to run; the operation interface displays: "Demagnetization cabinet D failure: The relay cannot be disconnected."; the generator stops, and the intelligent excitation system waits for manual intervention and troubleshooting.

[0090] The technical solution of this embodiment is an emergency treatment measure for the failure of the demagnetization cabinet, which aims to prevent the further spread of the failure and ensure the safe operation of the system and the generator. In the case of a failure of the demagnetization cabinet, the operation of the intelligent excitation system is stopped in time to prevent equipment damage or grid instability caused by the failure of the system to demagnetize; ensure that the generator will not continue to operate with excitation when the demagnetization function fails, and avoid safety accidents caused by overvoltage or excessive current; be able to automatically detect the failure of the demagnetization cabinet and immediately implement safety measures to reduce the fault response time; output detailed fault information to facilitate operators to quickly locate the problem and perform repairs, thereby improving the efficiency of fault diagnosis and processing.

[0091] In another embodiment, Figure 3 As shown, a control method for an intelligent excitation system is provided. Figure 1 Taking the intelligent excitation system 102 in the example as an example, the following steps are included:

[0092] S302, obtaining real-time operation data of each candidate control cabinet in the intelligent excitation system.

[0093] Among them, the candidate control cabinets include at least two power cabinets and a demagnetization cabinet.

[0094] In one of the embodiments, the real-time operation data includes operation data of at least one of the following dimensions: processor usage, processor response time, operation status of a memory chip, and operation status of a field programmable gate array.

[0095] S304, determining a queue of nodes to be sorted.

[0096] Each node in the queue of nodes to be sorted represents a candidate control cabinet for which a control priority is to be determined.

[0097] S306, obtaining the health score corresponding to each node in the queue of nodes to be sorted according to the real-time operation data corresponding to each candidate control cabinet.

[0098] In one of the embodiments, a health score corresponding to each node in the node queue to be sorted is obtained based on the real-time operating data corresponding to each candidate control cabinet, including: for the operating data of any dimension in the real-time operating data corresponding to any candidate control cabinet, according to the scoring rule corresponding to the operating data of any dimension, the operating data of any dimension is converted into a scoring value; based on the scoring values ​​of each dimension, the health score corresponding to any candidate control cabinet is determined; based on the health scores corresponding to each candidate control cabinet, the health score corresponding to each node in the node queue to be sorted is determined.

[0099] S308, select the node with the highest health score from the queue of nodes to be sorted as the master node.

[0100] S310, remove the master node from the queue of nodes to be sorted, and obtain an updated queue of nodes to be sorted.

[0101] S312, determine whether the loop end condition is met, if not, return to step S306; if so, execute step S314.

[0102] S314, determining the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as the master node.

[0103] Among them, the earlier the order of being elected as the master node, the higher the priority of control.

[0104] S316, when a target control cabinet fails, the main control node of the intelligent excitation system is transferred from the target control cabinet to the alternative control cabinet, so as to control the operation of the intelligent excitation system through the alternative control cabinet.

[0105] Among them, the alternative control cabinet is a candidate control cabinet with the second highest control priority.

[0106] S318, in the event of a fault in the demagnetization cabinet, the operation of the intelligent excitation system is stopped and fault information is output.

[0107] It should be noted that the specific limitations of the above steps can refer to the specific limitations of a control method for an intelligent excitation system described above.

[0108] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0109] Based on the same inventive concept, the embodiment of the present application also provides a control device for an intelligent excitation system for implementing the control method of the intelligent excitation system involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of the control device for one or more intelligent excitation systems provided below can refer to the limitations of the control method for the intelligent excitation system above, and will not be repeated here.

[0110] In an exemplary embodiment, Figure 4 As shown, a control device for an intelligent excitation system is provided, comprising:

[0111] The acquisition module 410 is used to acquire the real-time operation data of each candidate control cabinet in the intelligent excitation system; the candidate control cabinets include at least two power cabinets and a demagnetization cabinet;

[0112] The election module 420 is used to perform a master node election operation on each candidate control cabinet according to the real-time operation data, and determine the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as the master node by the master node election operation;

[0113] The determination module 430 is used to determine a target control cabinet from the candidate control cabinets in the intelligent excitation system according to the control priority when an excitation regulating cabinet in the intelligent excitation system fails; the target control cabinet is the candidate control cabinet with the highest control priority;

[0114] The transfer module 440 is used to transfer the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet.

[0115] In one embodiment, the election module 420 is specifically used to determine a queue of nodes to be sorted; each node in the queue of nodes to be sorted represents each candidate control cabinet for which the control priority is to be determined; according to the real-time operation data corresponding to each candidate control cabinet, the health score corresponding to each node in the queue of nodes to be sorted is obtained; the node with the highest health score is selected from the queue of nodes to be sorted as the master node; the master node is removed from the queue of nodes to be sorted to obtain an updated queue of nodes to be sorted, and return to the step of obtaining the health score corresponding to each node in the queue of nodes to be sorted according to the real-time operation data corresponding to each candidate control cabinet, until the loop end condition is met; according to the order in which each candidate control cabinet is elected as the master node, the control priority of each candidate control cabinet is determined; wherein, the earlier the order of being elected as the master node, the higher the control priority.

[0116] In one of the embodiments, the transfer module 440 is specifically used to transfer the main control node of the intelligent excitation system from the target control cabinet to the alternative control cabinet when a failure occurs in the target control cabinet, so as to control the operation of the intelligent excitation system through the alternative control cabinet; wherein the alternative control cabinet is the candidate control cabinet with the second highest control priority.

[0117] In one of the embodiments, the election module 420 is specifically used to convert the operation data of any dimension in the real-time operation data corresponding to any candidate control cabinet into a scoring value according to the scoring rule corresponding to the operation data of any dimension; determine the health score corresponding to any candidate control cabinet according to the scoring value of each dimension; and determine the health score corresponding to each node in the node queue to be sorted according to the health score corresponding to each candidate control cabinet.

[0118] In one of the embodiments, the real-time operation data includes operation data of at least one of the following dimensions: processor usage, processor response time, operation status of a memory chip, and operation status of a field programmable gate array.

[0119] In one of the embodiments, the control device of the intelligent excitation system further includes a stop module, and the stop module is used to stop the operation of the intelligent excitation system and output fault information when a fault occurs in the demagnetization cabinet.

[0120] Each module in the control device of the above intelligent excitation system can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0121] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a control method of an intelligent excitation system is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0122] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of 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 a different arrangement of components.

[0123] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0124] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0125] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0126] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0127] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0128] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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.

[0129] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A control method for an intelligent excitation system, characterized in that: The method comprises: Acquire real-time operation data of each candidate control cabinet in the intelligent excitation system; the candidate control cabinets include at least two power cabinets and a demagnetization cabinet; According to the real-time operation data, a master node election operation is performed on each of the candidate control cabinets, and the control priority of each of the candidate control cabinets is determined according to the order in which each of the candidate control cabinets is elected as a master node by the master node election operation; In the event of a failure of the excitation regulating cabinet in the intelligent excitation system, a target control cabinet is determined from the candidate control cabinets in the intelligent excitation system according to the control priority; the target control cabinet is the candidate control cabinet with the highest control priority; The main control node of the intelligent excitation system is transferred from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet.

2. The method according to claim 1, characterized in that The step of performing a master node election operation on each candidate control cabinet according to the real-time operation data, and determining the control priority of each candidate control cabinet according to the order in which each candidate control cabinet is elected as a master node by the master node election operation, includes: Determine a queue of nodes to be sorted; each node in the queue of nodes to be sorted represents each of the candidate control cabinets for which the control priority is to be determined; According to the real-time operation data corresponding to each candidate control cabinet, the health score corresponding to each node in the queue of nodes to be sorted is obtained; Select the node with the highest health score from the queue of nodes to be sorted as the master node; The master node is removed from the queue of nodes to be sorted to obtain an updated queue of nodes to be sorted, and the process returns to the step of obtaining the health score corresponding to each node in the queue of nodes to be sorted according to the real-time operation data corresponding to each candidate control cabinet, until the loop end condition is met; The control priority of each candidate control cabinet is determined according to the order in which each candidate control cabinet is elected as the master node; wherein, the earlier the order in which the candidate control cabinet is elected as the master node, the higher the control priority.

3. The method according to claim 2, characterized in that After transferring the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, the method further includes: In the event of a failure of the target control cabinet, the main control node of the intelligent excitation system is transferred from the target control cabinet to the alternative control cabinet, so as to control the operation of the intelligent excitation system through the alternative control cabinet; The candidate control cabinet is a candidate control cabinet with the second highest priority of the control right.

4. The method according to claim 2, characterized in that: The step of obtaining the health score corresponding to each node in the to-be-sorted node queue according to the real-time operation data corresponding to each candidate control cabinet includes: For the operation data of any dimension in the real-time operation data corresponding to any candidate control cabinet, convert the operation data of any dimension into a score value according to the scoring rule corresponding to the operation data of any dimension; Determine the health score corresponding to any of the candidate control cabinets according to the score values ​​of each dimension; The health score corresponding to each node in the to-be-sorted node queue is determined according to the health score corresponding to each of the candidate control cabinets.

5. The method according to claim 1, characterized in that The real-time operation data includes operation data of at least one of the following dimensions: processor usage, processor response time, operation status of a memory chip, and operation status of a field programmable gate array.

6. The method according to claim 1, characterized in that The method further comprises: In the event of a fault in the demagnetization cabinet, the operation of the intelligent excitation system is stopped and fault information is output.

7. A control device for an intelligent excitation system, characterized in that: The device comprises: An acquisition module is used to acquire real-time operation data of each candidate control cabinet in the intelligent excitation system; the candidate control cabinets include at least two power cabinets and a demagnetization cabinet; An election module, used to perform a master node election operation on each of the candidate control cabinets according to the real-time operation data, and determine the control priority of each of the candidate control cabinets according to the order in which each of the candidate control cabinets is elected as the master node by the master node election operation; A determination module, configured to determine a target control cabinet from the candidate control cabinets in the intelligent excitation system according to the control priority when an excitation regulating cabinet in the intelligent excitation system fails; the target control cabinet is the candidate control cabinet with the highest control priority; A transfer module is used to transfer the main control node of the intelligent excitation system from the excitation regulation cabinet to the target control cabinet, so as to control the operation of the intelligent excitation system through the target control cabinet.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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