A high-voltage direct-current protection setting value cloud edge collaborative management system, method and medium

Abstract

The present application relates to the technical field of power system automation, and particularly relates to a high-voltage direct-current protection setting value cloud-edge collaborative management system and method and a medium, which comprises a cloud setting value management platform of an operation control module, which checks protection setting value adjustment data of a converter station according to a preset setting value range, generates a structured setting value message sequence, controls a protection module to analyze the structured setting value message sequence to obtain the latest effective setting value, and performs setting value instantaneous update synchronization operation on multiple converter stations through the latest effective setting value to obtain updated setting values of the converter stations, and a field measurement module collects edge device action state data of an edge protection device in a high-voltage direct-current power transmission system to verify the updated setting values of the converter stations according to the edge device action state data, and generates a setting value update validation report when the verification is passed. The present application realizes efficient collaborative management and accurate update validation of the protection setting values of the converter station in the cloud and the edge through cloud-edge collaborative management.

Description

Technical Field

[0001] This invention relates to the field of power system automation technology, and in particular to a cloud-edge collaborative management system, method and medium for high voltage DC protection setting. Background Technology

[0002] In high-voltage direct current (HVDC) transmission control and protection systems, DC protection settings are core parameters for ensuring the safe and stable operation of power equipment. Their accuracy and real-time performance are directly related to the accuracy of key operation and maintenance tasks such as grid fault diagnosis and condition assessment. In actual operation, DC protection setting management involves the coordinated operation of multiple converter stations and various types of protection devices, and needs to adapt to complex and ever-changing operating environments. However, traditional setting management methods have revealed many defects in the actual operation and maintenance scenarios of HVDC transmission systems, making it difficult to meet the modern power grid's requirements for safety, real-time performance, and intelligence.

[0003] In high-voltage direct current (HVDC) transmission scenarios, protection settings need to be dynamically adjusted according to the grid's operating status. For example, when the load of a converter station suddenly increases or the ambient temperature changes abruptly, the protection device's settings need to be updated in a timely manner to match the new operating conditions. However, traditional setting updates rely on manual on-site operation or offline modification. This manual intervention method results in the setting updates not being synchronized to the cloud and various edge devices in a timely manner, often leading to inconsistencies between the operation and maintenance system and the protection device's settings, resulting in misjudgments in the protection logic. For example, due to the lag in setting updates, the protection device of a converter station failed to act in time when a short-circuit fault occurred, ultimately causing equipment damage.

[0004] High-voltage direct current (HVDC) transmission networks cover multiple converter stations, and the settings of protection devices at each station need to be consistent across the entire network. However, traditional setting management lacks a unified comparison and analysis mechanism across stations. For example, if different converter stations in a certain power grid have different setting values ​​for the same type of protection device, some devices may malfunction during a regional fault, while others may not respond, ultimately expanding the scope of the fault. In addition, current setting transmission mainly relies on local networks and does not fully integrate cloud-edge collaborative architecture to achieve distributed verification and disaster recovery backup. This makes setting data susceptible to tampering during transmission, and once the local network fails, setting data is easily lost, lacking effective recovery methods.

[0005] In summary, traditional DC protection setting management methods have many problems and cannot meet the requirements of safe and efficient operation and maintenance of high-voltage DC transmission systems. Therefore, there is an urgent need for a setting management technology based on a cloud-edge collaborative architecture to improve the safety and efficiency of power grid operation and maintenance. Summary of the Invention

[0006] To address the above technical problems, this invention provides a high-voltage DC protection setting cloud-edge collaborative management system, method, and medium.

[0007] In a first aspect, the present invention provides a high voltage DC protection setting cloud-edge collaborative management system, including an operation control module, a control and protection module, a field measurement module, and an edge protection device;

[0008] The operation control module includes a cloud-based setting management platform. The cloud-based setting management platform is used to respond to the converter station protection setting adjustment signal, verify the input converter station protection setting adjustment data according to the preset setting range, generate a structured setting message sequence, and send the structured setting message sequence to the control protection module through a three-step handshake protocol.

[0009] The control and protection module is used to parse the latest valid setting value according to the received structured setting value message sequence, and trigger the multi-core collaborative mechanism to perform instantaneous setting value update and synchronization operation on multiple converter stations in the high voltage DC transmission system through the latest valid setting value, so as to obtain the updated setting value of the converter station.

[0010] The field measurement module is used to collect the action status data of the edge equipment of the edge protection device in the high voltage DC transmission system, and upload the action status data of the edge equipment to the measurement and control device of the control and protection module, so that the measurement and control device can verify the effect of the setting update of the converter station based on the action status data of the edge equipment, and generate a setting update effect report when the setting update effect verification is successful and feed it back to the operation control module.

[0011] In a further embodiment, the control and protection module includes a protection host, which is equipped with a multi-core central processing unit, a setting management central processing unit, and a high-speed bus for peripheral component interconnection; the multi-core central processing unit includes a master core and multiple slave cores, and the master core of the multi-core central processing unit is connected to each slave core through the high-speed bus for peripheral component interconnection.

[0012] The central processing unit for setting value management is used to receive a sequence of structured setting value messages from the cloud-based setting value management platform, parse the sequence of structured setting value messages to obtain the latest valid setting value, and synchronously write the latest valid setting value into the setting value triple backup file system and the peripheral device shared memory space through the high-speed bus interconnecting peripheral components.

[0013] The master core is used to generate a memory write request when writing the latest valid setting value to the peripheral shared memory space, and trigger the generation of an inter-core interrupt signal according to the memory write request, so that each slave core reads the latest valid setting value from the peripheral shared memory space according to the inter-core interrupt signal, and performs instantaneous update and synchronization of the setting values ​​of multiple converter stations in the high voltage DC transmission system through the latest valid setting value read by each slave core, so as to obtain the updated setting value of the converter station.

[0014] In a further embodiment, the control and protection module also includes a measurement and control device and a converter station control device;

[0015] The protection host is also equipped with a communication interface board, which is used to distribute the updated settings of the converter station to the converter station control device and the measurement and control device, so that the converter station control device drives the primary equipment to perform protection actions according to the updated settings of the converter station and cut off the fault of the high voltage DC transmission line.

[0016] In a further implementation, the peripheral shared memory space is allocated physically contiguous memory through the peripheral component interconnect high-speed bus and mapped to the same virtual address space of the master core and all the slave cores;

[0017] The peripheral shared memory space includes multiple shared memory blocks, and each shared memory block corresponds to a fixed storage space of one of the slave cores.

[0018] In a further embodiment, the inter-core interrupt signal includes a setpoint update flag and a shared memory address pointer.

[0019] In a further embodiment, the high-voltage DC protection setting cloud-edge collaborative management system further includes a setting comparison and analysis system, which is used for:

[0020] Real-time collection of current setting data of edge protection devices of the same model deployed in each converter station, as well as current environmental parameters of the converter station;

[0021] Based on the current setting data of the same type of edge protection device in different converter stations, the mean setting value and the standard deviation of the setting value are calculated.

[0022] Based on the set value mean and the set value standard deviation, a horizontal set value analysis of multiple converter stations is performed. When the set value mean and set value standard deviation of the edge end protection device are detected to exceed the preset set value difference threshold, the corresponding edge end protection device is marked as a potential anomaly, and a horizontal comparison alarm log is generated.

[0023] Based on historical setpoint data and historical environmental parameters, a correlation model between setpoints and environmental parameters is established, and theoretical setpoint data is predicted using the correlation model based on the current environmental parameters of the converter station.

[0024] The theoretical setpoint data is compared with the current setpoint data to obtain the setpoint error. When the setpoint error is greater than a preset error threshold, the corresponding edge protection device is determined to have abnormal environmental adaptability.

[0025] In a further implementation, the setpoint comparison and analysis system is also used to calculate the setpoint deviation based on the current setpoint data and historical setpoint data of the edge protection device of the same converter station in the high voltage DC transmission system, and to trigger the generation of an abnormal offset alarm signal when the setpoint deviation exceeds the preset setpoint difference range.

[0026] In a further implementation scheme, the high-voltage DC protection setting cloud-edge collaborative management system also includes a security disaster recovery module, which includes a triple backup file system for settings and blockchain log storage.

[0027] The fixed-value triple backup file system is used to store the current fixed-value file, redundant fixed-value file and old version fixed-value file, and automatically rolls back to the old version fixed-value file when the fixed-value triple backup file system is abnormal;

[0028] The blockchain log storage is used to record fixed-value operation logs.

[0029] In a further implementation, the verification of the setpoint update effectiveness includes verifying the correctness of the setpoint loading state and verifying the expected matching of the protection action execution of the edge protection device.

[0030] Secondly, the present invention provides a cloud-edge collaborative management method for high-voltage DC protection settings, the method comprising the following steps:

[0031] In response to the converter station protection setting adjustment signal, the input converter station protection setting adjustment data is verified according to the preset setting range, and a structured setting message sequence is generated;

[0032] Based on the structured setting message sequence, the latest valid setting is parsed and the multi-core collaborative mechanism is triggered. The latest valid setting is used to perform instantaneous setting update and synchronization operations on multiple converter stations in the high voltage DC transmission system to obtain the updated setting of the converter station.

[0033] Collect the operational status data of edge devices in the high-voltage direct current transmission system, and verify the effectiveness of the updated settings of the converter station based on the operational status data of the edge devices;

[0034] Once the value update verification is successful, a value update effectiveness report will be generated.

[0035] In a further implementation, the step of parsing the latest valid setting value according to the structured setting value message sequence, triggering a multi-core collaborative mechanism, and performing instantaneous setting value update synchronization operation on multiple converter stations in the high-voltage direct current transmission system using the latest valid setting value to obtain the updated setting value of the converter station includes:

[0036] The structured value setting message sequence is parsed to obtain the latest valid value;

[0037] When writing the latest valid value into the peripheral shared memory space, a memory write request is generated;

[0038] The memory write request triggers the generation of an inter-core interrupt signal, which is used to read the latest valid setting from the peripheral shared memory space based on the inter-core interrupt signal. The latest valid setting is then used to instantaneously update and synchronize the setting of multiple converter stations in the high-voltage direct current transmission system, thereby obtaining the updated setting of the converter stations.

[0039] In a further embodiment, the method further includes the following steps:

[0040] The converter station updates the setpoints to drive the primary equipment to perform protection actions and clear the fault in the high-voltage direct current transmission line.

[0041] In a further embodiment, the inter-core interrupt signal includes a setpoint update flag and a shared memory address pointer.

[0042] In a further embodiment, the method further includes the following steps:

[0043] Real-time collection of current setting data of edge protection devices of the same model deployed in each converter station, as well as current environmental parameters of the converter station;

[0044] Based on the current setting data of the same type of edge protection device in different converter stations, the mean setting value and the standard deviation of the setting value are calculated.

[0045] Based on the set value mean and the set value standard deviation, a horizontal set value analysis of multiple converter stations is performed. When the set value mean and set value standard deviation of the edge end protection device are detected to exceed the preset set value difference threshold, the corresponding edge end protection device is marked as a potential anomaly, and a horizontal comparison alarm log is generated.

[0046] Based on historical setpoint data and historical environmental parameters, a correlation model between setpoints and environmental parameters is established, and theoretical setpoint data is predicted using the correlation model based on the current environmental parameters of the converter station.

[0047] The theoretical setpoint data is compared with the current setpoint data to obtain the setpoint error. When the setpoint error is greater than a preset error threshold, the corresponding edge protection device is determined to have abnormal environmental adaptability.

[0048] In a further embodiment, the method further includes the following steps:

[0049] Based on the current and historical setpoint data of the edge protection device of the same converter station in the high voltage direct current transmission system, the setpoint deviation is calculated, and when the setpoint deviation exceeds the preset setpoint difference range, an abnormal offset alarm signal is triggered.

[0050] In a further embodiment, the method further includes the following steps:

[0051] The updated settings of the converter station are stored as a current setting file, a redundant setting file, and an old setting file. If the triple backup file system for settings fails, it will automatically roll back to the old setting file.

[0052] In a further implementation, the verification of the setpoint update effectiveness includes verifying the correctness of the setpoint loading state and verifying the expected matching of the protection action execution of the edge protection device.

[0053] Thirdly, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method.

[0054] This invention provides a cloud-edge collaborative management system, method, and medium for high-voltage direct current (HVDC) protection setting. The system includes an operation control module, a control and protection module, a field measurement module, and an edge protection device. The operation control module includes a cloud-based setting management platform. This platform responds to converter station protection setting adjustment signals, verifies the input converter station protection setting adjustment data according to a preset setting range, generates a structured setting message sequence, and sends the structured setting message sequence to the control and protection module via a three-step handshake protocol. The control and protection module parses the received structured setting message sequence to obtain... Upon receiving the latest valid setpoints, a multi-core collaborative mechanism is triggered. Using these latest valid setpoints, instantaneous updates and synchronization operations are performed on multiple converter stations in the HVDC transmission system to obtain updated setpoints for each converter station. The field measurement module collects the operational status data of edge devices in the edge protection devices of the HVDC transmission system and uploads this data to the measurement and control device of the control and protection module. This allows the measurement and control device to verify the effectiveness of the updated setpoints for the converter stations based on the edge device operational status data. Upon successful verification, a setpoint update effectiveness report is generated and fed back to the operation control module. Compared with existing technologies, this system achieves efficient collaborative management and accurate updates of converter station protection setpoints between the cloud and the edge through cloud-edge collaborative management. This effectively improves the real-time performance, accuracy, and reliability of setpoint management, ensuring the safe and stable operation of the HVDC transmission system. Attached Figure Description

[0055] Figure 1This is a block diagram of the cloud-edge collaborative management system for high voltage DC protection setting provided in an embodiment of the present invention;

[0056] Figure 2 This is a schematic diagram of the cloud-edge collaborative management system architecture for high voltage DC protection setting provided in an embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of the value interaction process provided in the embodiment of the present invention;

[0058] Figure 4 This is a schematic diagram of the multi-core central processing unit (CPU) setting management process provided in an embodiment of the present invention;

[0059] Figure 5 This is a schematic diagram of the online access process for protection settings provided in an embodiment of the present invention;

[0060] Figure 6 This is a schematic diagram of the cloud-edge collaborative management method for high voltage DC protection setting provided in an embodiment of the present invention.

[0061] Explanation of reference numerals in the attached drawings: 101, Operation control module; 102, Control and protection module; 103, Field measurement module; 104, Edge protection device. Detailed Implementation

[0062] The embodiments of the present invention are described in detail below with reference to the accompanying drawings. The embodiments are given for illustrative purposes only and should not be construed as limiting the present invention. The accompanying drawings are for reference and illustration only and do not constitute a limitation on the scope of patent protection of the present invention, because many changes can be made to the present invention without departing from the spirit and scope of the present invention.

[0063] Traditional converter station setting management technology relies on manual on-site operation or offline modification, resulting in significant delays in customized updates for multiple converter stations and a lack of a unified coordination mechanism, making multi-station collaborative optimization difficult. Furthermore, traditional solutions mostly employ a single-core processing mode at the hardware architecture level, leading to inefficient inter-core communication and failing to meet the real-time requirements of large-scale power systems. To address these issues, [the following is a proposed solution]... Figure 1 This invention provides a cloud-edge collaborative management system for high-voltage DC protection settings. It achieves remote, second-level synchronization through Transmission Control Protocol / Internet Protocol (TCP / IP), and combines task distribution and inter-core interrupt mechanisms of a multi-core central processing unit (CPU) to ensure real-time collaborative updates of settings across multiple converter stations. Figure 1 As shown, the system includes an operation control module 101, a control protection module 102, a field measurement module 103, and an edge protection device 104.

[0064] In the specific implementation process, such as Figure 2 As shown, after the engineer modifies or enters new parameters on the engineer workstation (EWS), the system establishes a connection with the setting management CPU of the protection host via the local area network (LAN). Data is then distributed according to a three-way handshake protocol consisting of setting length messages, setting data messages, and execution command messages to ensure data transmission integrity. After receiving the complete message, the setting management CPU generates three backup files—current, redundant, and historical—on the local file system and writes the new parameters to the shared memory area of ​​the master core. The shared memory area is connected to each slave core via the peripheral component interconnect express (PCIe) bus. The master core triggers a message interrupt signal (MSI). The SignaledInterrupt (SIT) mechanism drives each slave core to synchronously read new settings from the shared memory area and update its local storage. After each core completes the update, the protection host sends the updated settings to the control and measurement devices via communication or interface cards. The update of the equipment protection logic is completed by actuators such as circuit breakers or disconnect switches. In terms of system architecture, the operation control module builds a unified cloud management platform that supports parameter input, verification, and structured message generation. The control protection module deploys a central processing unit for setting management, which undertakes communication parsing and inter-core distribution tasks. The field measurement module collects real-time data through sensors and other devices, and uploads it to the protection host via the measurement and control devices. This high-voltage DC protection setting cloud-edge collaborative management system achieves zero-latency data distribution between cores through shared memory. Combined with PCIE bus and MSI interrupt technology, it realizes efficient collaborative control from the cloud to the edge, ensuring instantaneous synchronization of setting updates between multiple cores. To a certain extent, it solves the technical bottlenecks of traditional solutions in terms of collaboration and real-time performance.

[0065] In some implementations, the operation control module includes a cloud-based setting management platform. The cloud-based setting management platform is used to respond to the converter station protection setting adjustment signal, verify the input converter station protection setting adjustment data according to a preset setting range, generate a structured setting message sequence, and send the structured setting message sequence to the control and protection module through a three-step handshake protocol.

[0066] Specifically, the operation control module coordinates the setting management of multiple converter stations. This module constructs a unified cloud-based setting management platform, an engineer workstation (EWS), an operator workstation (OWS), and a back-end workstation. The engineer workstation is used for setting parameter input, modification, and update command issuance. The operator workstation monitors the system's operating status and setting parameters in real time. The back-end workstation runs the VIGET application, responsible for data analysis and logic control. Power system engineers input or modify the protection setting parameters of each converter station (such as differential protection instantaneous trip setting or overcurrent protection delay time) through the engineer workstation, triggering the generation of converter station protection setting adjustment signals. These signals are then uploaded to the cloud-based setting management platform. Upon receiving the converter station protection setting adjustment signal, the cloud-based setting management platform performs upper and lower limit checks on the new setting parameters input by the engineer based on preset safety ranges to ensure that the parameter values ​​are within reasonable upper and lower limits. If the new setpoint parameter exceeds the allowable upper and lower limits, an alarm is triggered and execution is refused to prevent unreasonable parameters from affecting the safe operation of power equipment. Conversely, if the new setpoint parameter is within the allowable upper and lower limits, the verification is deemed successful. The cloud-based setpoint management platform converts the setpoint parameter into a structured setpoint message sequence and establishes a secure communication link through the Transmission Control Protocol / Internet Protocol. Using a three-step handshake protocol consisting of a setpoint length message, a setpoint data message, and an execution command message, the structured setpoint message sequence is sent to the protection device of the control and protection module to ensure the integrity and reliability of data transmission.

[0067] It should be noted that, as Figure 3As shown, after the engineer inputs new setting parameters at the engineer's workstation, the system generates a setting length message (containing the total length information of the setting data) and sends it to the protection host via the Ethernet interface. Upon receiving the message, the protection host saves the setting length information and immediately replies with a success or failure message to inform the engineer's workstation whether the length information has been successfully received. After receiving the protection host's successful reply to the setting length message, the engineer's workstation packages the setting parameters into a setting data message according to the protocol format and sends it to the protection host via Ethernet. Upon receiving the message, the protection host saves the setting data and replies with another success or failure message to confirm that the data has been correctly saved. The engineer's workstation then sends a setting request message to the protection host. Upon receiving the request, the protection host organizes the locally stored setting data, generates a setting data feedback message, and sends the setting data feedback message through the send buffer (Send). The buffer is sent back to the engineer's workstation. After receiving the setting data message sent by the protection host, the engineer's workstation will verify the retrieved setting to check the accuracy and consistency of the data. After the verification is completed, the engineer's workstation will send a reply message to the protection host to indicate whether the verification was successful or failed. This completes a full setting interaction process.

[0068] In some implementations, the control and protection module is used to parse the latest valid setting value according to the received structured setting value message sequence, and trigger a multi-core collaborative mechanism to perform instantaneous setting value update synchronization operation on multiple converter stations in the high-voltage direct current transmission system using the latest valid setting value, thereby obtaining the updated setting value of the converter station. In this embodiment, the control and protection module includes a protection host, a measurement and control device, and a converter station control device. The protection host is equipped with a multi-core central processing unit (CPU), a setting value management central processing unit, and a peripheral component interconnect (PCIE) high-speed bus. The system includes a communication interface board and an interface board. The communication board is connected to the multi-core central processing unit (CPU) via a high-speed bus interconnecting peripheral components to achieve inter-core data sharing. The interface board is directly connected to field-level devices via cables. The multi-core CPU includes a master core (CPU2) and multiple slave cores (CPU3). The master core is used for setting management, message parsing, and inter-core coordination, while the slave cores are used to execute specific protection algorithms and logical operations. The master core of the multi-core CPU is connected to each slave core via a high-speed bus interconnecting peripheral components. The specific functions of each module in the control protection module are as follows:

[0069] The central processing unit for setting value management is used to receive a sequence of structured setting value messages from the cloud-based setting value management platform, parse the sequence of structured setting value messages to obtain the latest valid setting value, and synchronously write the latest valid setting value into the setting value triple backup file system and the peripheral device shared memory space through the high-speed bus interconnecting peripheral components.

[0070] The master core is used to generate a memory write request when writing the latest valid setting value to the peripheral shared memory space, and trigger the generation of an inter-core interrupt signal according to the memory write request, so that each slave core reads the latest valid setting value from the peripheral shared memory space according to the inter-core interrupt signal, and performs instantaneous update and synchronization of the setting values ​​of multiple converter stations in the high voltage DC transmission system through the latest valid setting value read by each slave core, so as to obtain the updated setting value of the converter station.

[0071] The communication interface board is used to distribute the updated settings of the converter station to the converter station control device and the measurement and control device, so that the converter station control device drives the primary equipment to perform protection actions according to the updated settings of the converter station and clear the fault of the high voltage DC transmission line.

[0072] Specifically, such as Figure 4 , Figure 5As shown, the central processing unit (CPU) for setting value management receives a sequence of structured setting value messages from the cloud via an Ethernet interface and Transmission Control Protocol / Internet Protocol (TCP / IP). It parses the sequence to extract a setting value parameter table, extracts key parameters, and obtains the latest valid setting value. Simultaneously, it performs dual verification on the latest valid setting value using Cyclic Redundancy Check (CRC) and Hash-based Message Authentication Code (HMAC) to effectively prevent man-in-the-middle attacks and message tampering. After successful verification, this embodiment writes the parsed latest valid setting value to the shared memory area of ​​the device's temporary storage area (DDR, Dynamic Random Access Memory). Then, it triggers a file write task to persistently store the setting value in three copies (current, redundant, and historical) to the local file system of flash memory. Simultaneously, the main core writes the latest valid setting value in batches to the Peripheral Component Interconnect (PCIe) bus. The peripheral shared memory space connected by Express (CORE0) adopts a physically contiguous allocation method. It allocates physically contiguous memory through the high-speed bus interconnecting peripheral components and maps it to the same virtual address space of the master core and all the slave cores. Specifically, it enables the master core (CORE0) and all slave cores (CORE1 to COREn) to access the same virtual address space through address mapping, thereby realizing zero-copy data sharing. In this embodiment, the peripheral shared memory space includes multiple shared memory blocks, and each shared memory block corresponds to a fixed storage space of one of the slave cores.

[0073] Regarding synchronous updates and inter-core communication, to ensure that each core in the system maintains consistent settings, the master core (CORE0) writes the updated settings to the multi-core shared memory. Then, through an inter-core interrupt mechanism, it notifies other slave cores (CORE1 to COREn) to update the relevant settings. Upon receiving the interrupt signal, all cores immediately update their local storage and synchronously update the settings, ensuring that all cores in the entire protection device can synchronously update their settings within seconds, guaranteeing system efficiency and consistency. Specifically, after the master core completes the shared memory write, it immediately executes a write memory barrier to ensure that all write operations are visible to other cores. After the write is complete, the master core sends an inter-core interrupt signal (MSI, Message Signal) to each slave core via the high-speed bus interconnecting peripheral components. The inter-core interrupt signal (SignedInterrupt) carries a setting update flag and a shared memory address pointer. These flags indicate the location of the setting to be read by the slave core. Upon receiving the inter-core interrupt signal, the slave core executes a read memory barrier to ensure it can read the updated shared area data. Subsequently, the slave core reads the setting values ​​in batches from the shared memory and updates its local storage. Based on the parsed setting value information, the slave core updates its own operating parameters and control logic, ensuring that each core executes tasks based on the latest setting values. After each slave core completes the update, it reports its status to the master core. If successful, it sends a synchronization completion signal. If an error occurs during reading or verification, it immediately reports to the master core, triggering automatic rollback or retry. The master core summarizes the status of all slave cores and uniformly reports the setting update completion status of the entire device. This embodiment achieves second-level synchronous updates of multi-core setting values ​​through a high-speed bus interconnecting peripheral components and multi-core collaboration, significantly improving efficiency compared to traditional single-core serial processing.

[0074] It should be noted that during the saving of the fixed value file, the system will perform redundant read operations to ensure the integrity and reliability of the fixed value file. If a fixed value read error or update failure occurs, the system can restore the fixed value by reading the redundant file or the old version of the fixed value file, thus ensuring the stable operation of the system.

[0075] In some implementations, the field measurement module is used to collect the operational status data of edge devices of the edge protection device in the high-voltage direct current transmission system through voltage transformers (TV), current transformers (TA), and optical current sensors (OCT), and upload the operational status data of the edge devices to the measurement and control device of the control and protection module, so that the measurement and control device can verify the effectiveness of the setting update of the converter station based on the operational status data of the edge devices, and generate a setting update effectiveness report when the setting update effectiveness verification is successful and feed it back to the operation control module.

[0076] In some embodiments, the high-voltage DC protection setting cloud-edge collaborative management system further includes a setting comparison and analysis system, the specific functions of which are:

[0077] Real-time collection of current setting data of edge protection devices of the same model deployed in each converter station, as well as current environmental parameters of the converter station;

[0078] Based on the current setting data of the same type of edge protection device in different converter stations, the mean setting value and the standard deviation of the setting value are calculated.

[0079] Based on the set value mean and the set value standard deviation, a horizontal set value analysis of multiple converter stations is performed. When the set value mean and set value standard deviation of the edge end protection device are detected to exceed the preset set value difference threshold, the corresponding edge end protection device is marked as a potential anomaly, and a horizontal comparison alarm log is generated.

[0080] Based on historical setpoint data and historical environmental parameters, a correlation model between setpoints and environmental parameters is established, and theoretical setpoint data is predicted using the correlation model based on the current environmental parameters of the converter station.

[0081] The theoretical setpoint data is compared with the current setpoint data to obtain the setpoint error. When the setpoint error is greater than a preset error threshold, the corresponding edge protection device is determined to have abnormal environmental adaptability.

[0082] Based on the current and historical setpoint data of the edge protection device of the same converter station in the high voltage direct current transmission system, the setpoint deviation is calculated, and when the setpoint deviation exceeds the preset setpoint difference range, an abnormal offset alarm signal is triggered.

[0083] Specifically, this embodiment periodically collects current setting data of edge-end protection devices from each converter station and transmits it to a cloud database via Transmission Control Protocol / Internet Protocol. The cloud database can perform horizontal comparative analysis of the setting values ​​of edge-end protection devices of the same model at each converter station. Specifically, it can compare the changes in device setting values ​​based on preset thresholds. If the setting value of a certain station deviates from the normal operating range or differs significantly from the settings of other stations, the system will automatically generate an alarm message. For example, when the setting value of a certain device is too high or too low, it indicates that the device's operating environment has changed or that the setting value is incorrect. At this time, the system will immediately issue an alarm. At the same time, the cloud database can identify abnormal setting values ​​based on preset safety ranges. When the system detects an abnormal setting value, it automatically generates a warning message and notifies the power operation and maintenance personnel. After receiving the alarm, the power operation and maintenance personnel can contact the engineer. The workstation accesses relevant sites to view the specific settings and historical changes of the setpoints. By acquiring real-time equipment status and setpoint information, maintenance personnel can quickly locate problems and reduce the risk of failure. In addition, the cloud database can also perform environmental adaptability analysis by combining environmental parameters such as temperature, humidity, and load of each converter station. Given that the optimal setpoint settings of equipment may differ under different environments, this embodiment uses horizontal comparative analysis to more accurately identify unsuitable setpoints, thereby preventing equipment failures caused by environmental changes. At the same time, maintenance personnel can use historical data analysis to find the patterns of setpoint changes under different environmental conditions, providing a scientific basis for future setpoint adjustments. This intelligent analysis and early warning function significantly improves the operation and maintenance efficiency of the power grid and reduces safety risks caused by human factors or improper equipment settings.

[0084] In some implementations, the high-voltage DC protection setting cloud-edge collaborative management system further includes a security and disaster recovery module, which includes a triple-backup setting file system and a blockchain log storage. In this embodiment, the triple-backup setting file system is used to store the current setting file, redundant setting files, and old setting files. When the triple-backup setting file system malfunctions, it automatically rolls back to the old setting file. The setting update validity verification includes verifying the correctness of the setting loading status and verifying the expected matching of the protection action execution of the edge protection device. The blockchain log storage is used to record the setting operation log.

[0085] This embodiment effectively improves the intelligence level of setting management through system redundancy and fault tolerance mechanisms, enabling operation and maintenance personnel to promptly detect potential abnormal settings and avoid power equipment failures caused by setting errors, thereby ensuring the safe and stable operation of the power system. In the entire setting update process, this embodiment adopts a triple backup storage strategy, saving all setting files as the current version, a redundant version, and a historical version respectively. When a system anomaly or update failure is detected, the system automatically triggers a rollback mechanism to restore to the historical stable version, ensuring that setting information is not lost and the system quickly resumes normal operation. This mechanism effectively solves the delay and error problems of traditional manual operation, realizes rapid and accurate remote updates of DC core setting parameters, and significantly improves the safety and reliability of power grid operation.

[0086] In summary, to address the shortcomings of DC transmission system protection setting management, such as low efficiency of manual on-site access leading to mismatch between cloud and edge setting versions, inability of the core processing architecture to meet the collaborative update requirements of large-scale converter stations, and lack of historical tracing and horizontal comparison capabilities resulting in difficulty in predicting hidden risks, this embodiment proposes a cloud-edge collaborative setting management system. This system uses the HCM5000 control and protection host as the hardware platform. The HCM5000 control and protection host utilizes a multi-core central processing unit and a PCIE high-speed bus architecture, combined with transmission control protocols or Internet protocols, to construct a cloud-edge communication channel. This enables real-time synchronization of protection device settings with the operation and maintenance system, ensuring data consistency. Simultaneously, it leverages the shared memory mechanism of the PCIE bus and... Inter-core interrupt technology enables parallel processing and data synchronization of multi-core central processing units, significantly improving the efficiency of setting updates. Furthermore, this embodiment integrates historical data comparison and multi-site horizontal analysis functions, automatically identifying setting anomalies and generating risk warnings, providing data support for power grid operation and maintenance decisions. Therefore, this embodiment not only achieves second-level synchronization of setting parameters through a cloud-edge collaborative architecture, significantly improving system real-time performance and data accuracy, but also enhances the system's fault tolerance and operational reliability by employing multi-core collaborative processing and redundant backup mechanisms. In addition, this embodiment effectively reduces power grid operation risks caused by improper setting through intelligent analysis functions, providing reliable technical assurance for the safe and stable operation of the DC protection system.

[0087] This invention provides a cloud-edge collaborative management system for high-voltage direct current (HVDC) protection settings. The system includes an operation control module, a control and protection module, a field measurement module, and edge protection devices. The cloud-based setting management platform of the operation control module responds to converter station protection setting adjustment signals, verifies the input converter station protection setting adjustment data according to a preset setting range, and generates a structured setting message sequence. The control and protection module parses the received structured setting message sequence to obtain the latest valid setting and triggers a multi-core collaborative mechanism. Using the latest valid setting, it performs instantaneous setting update synchronization operations on multiple converter stations in the HVDC transmission system to obtain the updated converter station setting. The field measurement module collects the edge device operation status data of the edge protection devices in the HVDC transmission system and uploads this data to the measurement and control device of the control and protection module. This allows the measurement and control device to verify the updated converter station setting based on the edge device operation status data and generate a setting update effectiveness report, which is then fed back to the operation control module upon successful verification. Compared with existing technologies, this system achieves efficient collaborative management and accurate updating of converter station protection settings in the cloud and at the edge through cloud-edge collaborative management, effectively improving the real-time performance, accuracy and reliability of setting management, and ensuring the safe and stable operation of the high-voltage direct current transmission system.

[0088] In one embodiment, such as Figure 6 As shown in the figure, this invention provides a cloud-edge collaborative management method for high-voltage DC protection settings, the method comprising the following steps:

[0089] S1. In response to the converter station protection setting adjustment signal, verify the input converter station protection setting adjustment data according to the preset setting range, and generate a structured setting message sequence;

[0090] S2. Based on the structured setting message sequence, the latest valid setting value is parsed and triggered to trigger the multi-core collaborative mechanism. The latest valid setting value is used to perform instantaneous setting value update and synchronization operation on multiple converter stations in the high voltage DC transmission system to obtain the updated setting value of the converter station.

[0091] S3. Collect the action status data of edge devices in the high voltage direct current transmission system, and verify the effectiveness of the update settings of the converter station based on the action status data of the edge devices;

[0092] S4. When the setting value update takes effect verification is passed, a setting value update effect report is generated; in this embodiment, the setting value update effect verification includes verifying the correctness of the setting value loading state and verifying the expected matching of the protection action execution of the edge protection device.

[0093] In this embodiment, the steps of parsing the latest valid setting value according to the structured setting value message sequence, triggering a multi-core collaborative mechanism, and performing instantaneous setting value update synchronization operation on multiple converter stations in the high-voltage direct current transmission system using the latest valid setting value to obtain the updated setting value of the converter station include:

[0094] The structured value setting message sequence is parsed to obtain the latest valid value;

[0095] When writing the latest valid value into the peripheral shared memory space, a memory write request is generated;

[0096] The memory write request triggers the generation of an inter-core interrupt signal, which is used to read the latest valid setting from the peripheral shared memory space based on the inter-core interrupt signal. The latest valid setting is then used to instantaneously update and synchronize the settings of multiple converter stations in the high-voltage direct current transmission system to obtain the updated settings of the converter stations. The inter-core interrupt signal includes a setting update flag and a shared memory address pointer.

[0097] In this embodiment, the method further includes the following steps: driving the primary equipment to perform protection actions according to the updated setting value of the converter station to clear the fault in the high-voltage direct current transmission line.

[0098] In this embodiment, the method further includes the following steps:

[0099] Real-time collection of current setting data of edge protection devices of the same model deployed in each converter station, as well as current environmental parameters of the converter station;

[0100] Based on the current setting data of the same type of edge protection device in different converter stations, the mean setting value and the standard deviation of the setting value are calculated.

[0101] Based on the set value mean and the set value standard deviation, a horizontal set value analysis of multiple converter stations is performed. When the set value mean and set value standard deviation of the edge end protection device are detected to exceed the preset set value difference threshold, the corresponding edge end protection device is marked as a potential anomaly, and a horizontal comparison alarm log is generated.

[0102] Based on historical setpoint data and historical environmental parameters, a correlation model between setpoints and environmental parameters is established, and theoretical setpoint data is predicted using the correlation model based on the current environmental parameters of the converter station.

[0103] The theoretical setpoint data is compared with the current setpoint data to obtain the setpoint error. When the setpoint error is greater than a preset error threshold, the corresponding edge protection device is determined to have abnormal environmental adaptability.

[0104] In this embodiment, the method further includes the following steps:

[0105] Based on the current and historical setpoint data of the edge protection device of the same converter station in the high voltage direct current transmission system, the setpoint deviation is calculated, and when the setpoint deviation exceeds the preset setpoint difference range, an abnormal offset alarm signal is triggered.

[0106] In this embodiment, the method further includes the following steps:

[0107] The updated settings of the converter station are stored as a current setting file, a redundant setting file, and an old setting file. If the triple backup file system for settings fails, it will automatically roll back to the old setting file.

[0108] It should be noted that the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0109] For specific limitations regarding the cloud-edge collaborative management method for high-voltage direct current (HVDC) protection settings, please refer to the above-described limitations regarding the cloud-edge collaborative management system for HVDC protection settings, which will not be repeated here. Those skilled in the art will recognize that the various modules and steps described in conjunction with the embodiments disclosed in this application can be implemented in hardware, software, or a combination of both. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] This invention provides a cloud-edge collaborative management method for high-voltage direct current (HVDC) protection settings. The method includes: responding to a converter station protection setting adjustment signal; verifying the input converter station protection setting adjustment data according to a preset setting range; generating a structured setting message sequence; parsing the structured setting message sequence to obtain the latest valid setting value and triggering a multi-core collaborative mechanism; performing instantaneous setting value update synchronization operations on multiple converter stations in the HVDC transmission system using the latest valid setting value to obtain the updated converter station setting value; collecting the action status data of edge devices in the HVDC transmission system and verifying the effectiveness of the updated converter station setting value based on the edge device action status data; and generating a setting value update effectiveness report when the verification is successful. Compared with existing technologies, this method achieves efficient collaborative management and accurate updating of converter station protection settings at the cloud and edge through cloud-edge collaborative management, effectively improving the real-time performance, accuracy, and reliability of setting value management, and ensuring the safe and stable operation of the HVDC transmission system.

[0111] In one embodiment, the present invention 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.

[0112] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., SSD), etc.

[0113] 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 computer-readable storage medium, and when the computer program is executed, it can include the processes of the embodiments of the above methods.

[0114] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various improvements and substitutions without departing from the technical principles of this invention, and these improvements and substitutions should also be considered within the scope of protection of this application. Therefore, the scope of protection of this patent application should be determined by the scope of the claims.

Claims

1. A cloud-edge collaborative management system for high-voltage DC protection settings, characterized in that, include: Operation control module, control protection module, field measurement module and edge protection device; The operation control module includes a cloud-based setting management platform. The cloud-based setting management platform is used to respond to the converter station protection setting adjustment signal, verify the input converter station protection setting adjustment data according to the preset setting range, generate a structured setting message sequence, and send the structured setting message sequence to the control protection module through a three-step handshake protocol. The control and protection module is used to parse the latest valid setting value according to the received structured setting value message sequence, and trigger the multi-core collaborative mechanism to perform instantaneous setting value update and synchronization operation on multiple converter stations in the high voltage DC transmission system through the latest valid setting value, so as to obtain the updated setting value of the converter station. The field measurement module is used to collect the action status data of the edge equipment of the edge protection device in the high voltage DC transmission system, and upload the action status data of the edge equipment to the measurement and control device of the control and protection module, so that the measurement and control device can verify the effect of the setting update of the converter station based on the action status data of the edge equipment, and generate a setting update effect report when the setting update effect verification is successful and feed it back to the operation control module. The control and protection module includes a protection host, which is equipped with a multi-core central processing unit, a setting management central processing unit, and a high-speed bus for interconnecting peripheral components. The multi-core central processing unit includes a master core and multiple slave cores, and the master core of the multi-core central processing unit is connected to each slave core through the high-speed bus for interconnecting peripheral components. The central processing unit for setting value management is used to receive a sequence of structured setting value messages from the cloud-based setting value management platform, parse the sequence of structured setting value messages to obtain the latest valid setting value, and synchronously write the latest valid setting value into the setting value triple backup file system and the peripheral device shared memory space through the high-speed bus interconnecting peripheral components. The master core is used to generate a memory write request when writing the latest valid setting value to the peripheral shared memory space, and trigger the generation of an inter-core interrupt signal according to the memory write request, so that each slave core reads the latest valid setting value from the peripheral shared memory space according to the inter-core interrupt signal, and performs instantaneous update and synchronization of the setting values ​​of multiple converter stations in the high voltage DC transmission system through the latest valid setting value read by each slave core, so as to obtain the updated setting value of the converter station.

2. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 1, characterized in that: The control and protection module also includes a measurement and control device and a converter station control device; The protection host is also equipped with a communication interface board, which is used to distribute the updated settings of the converter station to the converter station control device and the measurement and control device, so that the converter station control device drives the primary equipment to perform protection actions according to the updated settings of the converter station and cut off the fault of the high voltage DC transmission line.

3. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 1, characterized in that: The peripheral shared memory space is allocated physically contiguous memory through the high-speed bus interconnecting the peripheral components and mapped to the same virtual address space of the master core and all the slave cores; The peripheral shared memory space includes multiple shared memory blocks, and each shared memory block corresponds to a fixed storage space of one of the slave cores.

4. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 1, characterized in that: The inter-core interrupt signal includes a setpoint update flag and a shared memory address pointer.

5. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 1, characterized in that, The high-voltage DC protection setting cloud-edge collaborative management system also includes a setting comparison and analysis system, which is used for: Real-time collection of current setting data of edge protection devices of the same model deployed in each converter station, as well as current environmental parameters of the converter station; Based on the current setting data of the same type of edge protection device in different converter stations, the mean setting value and the standard deviation of the setting value are calculated. Based on the set value mean and the set value standard deviation, a horizontal set value analysis of multiple converter stations is performed. When the set value mean and set value standard deviation of the edge end protection device are detected to exceed the preset set value difference threshold, the corresponding edge end protection device is marked as a potential anomaly, and a horizontal comparison alarm log is generated. Based on historical setpoint data and historical environmental parameters, a correlation model between setpoints and environmental parameters is established, and theoretical setpoint data is predicted using the correlation model based on the current environmental parameters of the converter station. The theoretical setpoint data is compared with the current setpoint data to obtain the setpoint error. When the setpoint error is greater than a preset error threshold, the corresponding edge protection device is determined to have abnormal environmental adaptability.

6. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 5, characterized in that: The setpoint comparison and analysis system is also used to calculate the setpoint deviation based on the current setpoint data and historical setpoint data of the edge protection device of the same converter station in the high voltage DC transmission system, and to trigger the generation of an abnormal offset alarm signal when the setpoint deviation exceeds the preset setpoint difference range.

7. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 1, characterized in that: The high-voltage DC protection setting cloud-edge collaborative management system also includes a security disaster recovery module, which includes a triple backup file system for settings and blockchain log storage. The fixed-value triple backup file system is used to store the current fixed-value file, redundant fixed-value file and old version fixed-value file, and automatically rolls back to the old version fixed-value file when the fixed-value triple backup file system is abnormal; The blockchain log storage is used to record fixed-value operation logs.

8. The high-voltage DC protection setting cloud-edge collaborative management system as described in claim 1, characterized in that: The verification of the setpoint update effectiveness includes verifying the correctness of the setpoint loading status and verifying the expected matching of the protection action execution of the edge protection device.

9. A cloud-edge collaborative management method for high-voltage DC protection settings, characterized in that, The method includes the following steps: In response to the converter station protection setting adjustment signal, the input converter station protection setting adjustment data is verified according to the preset setting range, and a structured setting message sequence is generated; Based on the structured setting message sequence, the latest valid setting is parsed and the multi-core collaborative mechanism is triggered. The latest valid setting is used to perform instantaneous setting update and synchronization operations on multiple converter stations in the high voltage DC transmission system to obtain the updated setting of the converter station. Collect the operational status data of edge devices in the high-voltage direct current transmission system, and verify the effectiveness of the updated settings of the converter station based on the operational status data of the edge devices; When the value update takes effect verification is successful, a value update effect report is generated; The steps of parsing the latest valid setting value according to the structured setting value message sequence, triggering a multi-core collaborative mechanism, and performing instantaneous setting value update synchronization operation on multiple converter stations in the high-voltage direct current transmission system using the latest valid setting value to obtain the updated setting value of the converter station include: The structured value setting message sequence is parsed to obtain the latest valid value; When writing the latest valid value into the peripheral shared memory space, a memory write request is generated; The memory write request triggers the generation of an inter-core interrupt signal, which is used to read the latest valid setting from the peripheral shared memory space based on the inter-core interrupt signal. The latest valid setting is then used to instantaneously update and synchronize the setting of multiple converter stations in the high-voltage direct current transmission system, thereby obtaining the updated setting of the converter stations.

10. The high-voltage DC protection setting cloud-edge collaborative management method as described in claim 9, characterized in that, The method further includes the following steps: The converter station updates the setpoints to drive the primary equipment to perform protection actions and clear the fault in the high-voltage direct current transmission line.

11. The cloud-edge collaborative management method for high-voltage DC protection settings as described in claim 9, characterized in that: The inter-core interrupt signal includes a setpoint update flag and a shared memory address pointer.

12. The high-voltage DC protection setting cloud-edge collaborative management method as described in claim 9, characterized in that, The method further includes the following steps: Real-time collection of current setting data of edge protection devices of the same model deployed in each converter station, as well as current environmental parameters of the converter station; Based on the current setting data of the same type of edge protection device in different converter stations, the mean setting value and the standard deviation of the setting value are calculated. Based on the set value mean and the set value standard deviation, a horizontal set value analysis of multiple converter stations is performed. When the set value mean and set value standard deviation of the edge end protection device are detected to exceed the preset set value difference threshold, the corresponding edge end protection device is marked as a potential anomaly, and a horizontal comparison alarm log is generated. Based on historical setpoint data and historical environmental parameters, a correlation model between setpoints and environmental parameters is established, and theoretical setpoint data is predicted using the correlation model based on the current environmental parameters of the converter station. The theoretical setpoint data is compared with the current setpoint data to obtain the setpoint error. When the setpoint error is greater than a preset error threshold, the corresponding edge protection device is determined to have abnormal environmental adaptability.

13. The high-voltage DC protection setting cloud-edge collaborative management method as described in claim 12, characterized in that, The method further includes the following steps: Based on the current and historical setpoint data of the edge protection device of the same converter station in the high voltage direct current transmission system, the setpoint deviation is calculated, and when the setpoint deviation exceeds the preset setpoint difference range, an abnormal offset alarm signal is triggered.

14. The cloud-edge collaborative management method for high-voltage DC protection settings as described in claim 9, characterized in that, The method further includes the following steps: The updated settings of the converter station are stored as a current setting file, a redundant setting file, and an old setting file. If the triple backup file system for settings fails, it will automatically roll back to the old setting file.

15. The cloud-edge collaborative management method for high-voltage DC protection settings as described in claim 9, characterized in that: The verification of the setpoint update effectiveness includes verifying the correctness of the setpoint loading status and verifying the expected matching of the protection action execution of the edge protection device.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program that, when executed, implements the method as described in any one of claims 9 to 15.

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