Power distribution network multi-parameter fault processing method, system, equipment, medium and product

Abstract

The invention discloses a power distribution network multi-parameter fault processing method, system, device, medium and product, and the method comprises the steps: monitoring various types of operation parameters in a power distribution network in real time, extracting the operation characteristics of each operation parameter, carrying out the preliminary fault pre-judgment of the operation state of the power distribution network through the various types of operation characteristics, and carrying out the fault pre-judgment of the operation state of the power distribution network; when the fault pre-judgment result is that a fault is confirmed, generating a Beidou positioning timestamp and latitude and longitude information of a fault occurrence point according to a Beidou positioning system, encrypting the operation characteristics, the Beidou positioning timestamp and the latitude and longitude information of the fault occurrence point, and sending encrypted data to a master station through a secure transmission channel; according to the method and the device, the master station generates the fault isolation instruction according to the encrypted data, and issues the fault isolation instruction to the relay, so that the relay executes the fault isolation instruction, and when the fault pre-judgment result is a suspicious fault, fault pre-judgment and re-check are performed again, so that the fault judgment accuracy is improved, and false alarms and false actions are avoided.

Description

Technical Field

[0001] This invention relates to the field of power distribution network technology, and in particular to a method, system, equipment, medium and product for handling multi-parameter faults in power distribution networks. Background Technology

[0002] Equipment and line faults caused by abnormal loads on the user side frequently occur in the 10kV distribution network of the power system. The traditional handling mechanism mainly relies on the 10kV switchgear line protection devices to capture abnormal current signals and report them to the dispatch system, followed by manual fault handling based on experience. However, this manual method is highly subjective, has low accuracy in fault judgment, and is prone to false alarms and malfunctions. Summary of the Invention

[0003] In view of this, the present invention provides a method, system, equipment, medium and product for handling multi-parameter faults in power distribution networks, which solves the technical problem that fault judgment accuracy is low and false alarms and malfunctions are easily caused by relying on manual experience for fault handling.

[0004] The first aspect of this invention provides a method for handling multi-parameter faults in a power distribution network, comprising:

[0005] Real-time monitoring of various types of operating parameters in the power distribution network, and extraction of the operating characteristics of each operating parameter;

[0006] The operating status of the distribution network is predicted by various types of operating characteristics to obtain the prediction results; the prediction results include confirmed faults and suspected faults.

[0007] When the fault prediction result is a confirmed fault, a BeiDou positioning timestamp and the latitude and longitude information of the fault location are generated according to the BeiDou positioning system, and the operation characteristics, the BeiDou positioning timestamp and the latitude and longitude information of the fault location are encrypted to generate encrypted data;

[0008] The encrypted data is sent to the main station through a secure transmission channel, so that the main station generates a fault isolation command based on the encrypted data and sends the fault isolation command to the relay, so that the relay executes the fault isolation command.

[0009] When the fault prediction result is a suspected fault, the operating characteristics are sent to the main station for fault prediction verification. If the fault prediction verification result is a confirmed fault, the following steps are performed: when the fault prediction result is a confirmed fault, a BeiDou positioning timestamp is generated, and the operating characteristics and the BeiDou positioning timestamp are encrypted to generate encrypted data. If the fault prediction verification result is a non-fault, the process is switched to real-time monitoring of various types of operating parameters in the distribution network, and the operating characteristics of each operating parameter are extracted.

[0010] Preferably, the operating parameters include three-phase current and temperature; the operating characteristics include three-phase current imbalance, three-phase current change rate, and temperature peak value.

[0011] The method of predicting faults in the operating status of the distribution network through various types of operating characteristics, and obtaining fault prediction results, includes:

[0012] The various types of operational features are input into a pre-trained decision tree algorithm, which outputs a fault prediction result based on a preset judgment logic. The fault prediction result includes confirmed faults and suspected faults.

[0013] The process of constructing the pre-trained decision tree algorithm includes:

[0014] The system acquires various types of operational characteristics of the distribution network during historical time periods when faults occur, as well as various types of operational characteristics of the distribution network when suspected faults occur.

[0015] Multiple types of operational characteristics when a fault occurs are labeled as positive samples, and multiple types of operational characteristics when a suspected fault occurs are labeled as negative samples;

[0016] The positive and negative samples are input into the initial decision tree algorithm for training to obtain the pre-trained decision tree algorithm.

[0017] Preferably, a BeiDou positioning timestamp and the latitude and longitude information of the fault location are generated based on the BeiDou positioning system, and the operational characteristics, the BeiDou positioning timestamp, and the latitude and longitude information of the fault location are encrypted to generate encrypted data, including:

[0018] The latitude and longitude information of the fault location is obtained using the BeiDou positioning system, and the current time is recorded to generate a BeiDou positioning timestamp;

[0019] The operational characteristics, BeiDou positioning timestamp, and latitude and longitude information of the fault location are encrypted using the national cryptographic SM4 algorithm to generate the encrypted data.

[0020] Preferably, the step of sending the encrypted data to the master station via a secure transmission channel, causing the master station to generate a fault isolation command based on the encrypted data, and then issuing the fault isolation command to the relay to cause the relay to execute the fault isolation command includes:

[0021] The encrypted data is sent to the main station via a secure transmission channel, and the main station verifies the data integrity of the encrypted data.

[0022] After successfully verifying data integrity, a fault isolation command containing an RSA signature is sent to the edge processor;

[0023] The edge processor verifies the RSA signature in the fault isolation instruction. After successful signature verification, the fault isolation instruction is sent to the relay, causing the relay to execute the fault isolation instruction.

[0024] Preferably, the method further includes:

[0025] After the relay executes the fault isolation command, it sends a relay status contact signal back to the master station.

[0026] The master station detects whether the relay status contact signal is consistent with the expected relay status contained in the fault isolation command;

[0027] If the determination is inconsistent, a verification command is sent from the master station to the edge processor. The verification command is used to instruct the edge processor to reconfirm the status contact signal of the relay.

[0028] The edge processor reconfirms the status contact signal of the relay according to the verification instruction, and feeds back the confirmed status contact signal of the relay to the master station. The master station compares the fed-back status contact signal of the relay with the expected relay status. If the comparison is inconsistent, an alarm mechanism is triggered, and the master station reissues the fault isolation instruction to the edge processor.

[0029] If the judgment is consistent, a power outage report is generated through the main station, and a work order is generated based on the power outage report and pushed to the designated operation and maintenance terminal.

[0030] Preferably, the method further includes:

[0031] The communication status of the secure transmission channel is monitored in real time, and the anomaly type of the secure transmission channel and the corresponding handling strategy are identified based on the communication status.

[0032] The secure transmission channel is processed according to the processing strategy described above.

[0033] Secondly, the present invention also provides a multi-parameter fault handling system for a power distribution network, comprising:

[0034] The data monitoring module is used to monitor various types of operating parameters in the power distribution network in real time and extract the operating characteristics of each operating parameter.

[0035] The fault prediction module is used to predict the operating status of the distribution network through various types of operating characteristics, and obtain the fault prediction results; the fault prediction results include confirmed faults and suspected faults;

[0036] The data encryption module is used to generate a BeiDou positioning timestamp and the latitude and longitude information of the fault occurrence point according to the BeiDou positioning system when the fault prediction result is a confirmed fault, and to encrypt the operation characteristics, the BeiDou positioning timestamp and the latitude and longitude information of the fault occurrence point to generate encrypted data.

[0037] The instruction issuing module is used to send the encrypted data to the master station through a secure transmission channel, so that the master station generates a fault isolation instruction based on the encrypted data and issues the fault isolation instruction to the relay, so that the relay executes the fault isolation instruction;

[0038] The fault prediction and verification module is used to send the operating characteristics to the main station for fault prediction verification when the fault prediction result is a suspected fault. If the fault prediction and verification result is a confirmed fault, the module generates a BeiDou positioning timestamp and encrypts the operating characteristics and the BeiDou positioning timestamp to generate encrypted data. If the fault prediction and verification result is a non-fault, the module switches to real-time monitoring of various types of operating parameters in the distribution network and extracts the operating characteristics of each operating parameter.

[0039] Thirdly, the present invention also provides an electronic device, the electronic device including a memory and a processor, the memory storing a computer program, the computer program being executed by the processor causing the processor to perform the steps of the power distribution network multi-parameter fault handling method as described in the first aspect.

[0040] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the steps of the multi-parameter fault handling method for power distribution networks as described in the first aspect.

[0041] Fifthly, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the distribution network multi-parameter fault handling method as described in the first aspect.

[0042] As can be seen from the above technical solution, this invention monitors various types of operating parameters in the distribution network in real time and extracts the operating characteristics of each operating parameter. It makes a preliminary fault prediction on the operating status of the distribution network based on the various types of operating characteristics. When the fault prediction result is a confirmed fault, it generates a Beidou positioning timestamp and the latitude and longitude information of the fault location based on the Beidou positioning system. It encrypts the operating characteristics, Beidou positioning timestamp, and latitude and longitude information of the fault location and sends the encrypted data to the master station through a secure transmission channel. The master station generates a fault isolation command based on the encrypted data and sends the fault isolation command to the relay, so that the relay executes the fault isolation command. When the fault prediction result is a suspected fault, the fault prediction is reviewed again. Thus, through multiple fault judgments, the accuracy of fault judgment is improved and false alarms and malfunctions are avoided. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 A flowchart of a multi-parameter fault handling method for a power distribution network provided in an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the structure of a multi-parameter fault handling system for a power distribution network provided in an embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0047] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] like Figure 1 As shown in the figure, this application provides a method for handling multi-parameter faults in a distribution network, including the following steps S1 to S5. Wherein:

[0049] Step S1: Monitor various types of operating parameters in the distribution network in real time and extract the operating characteristics of each operating parameter.

[0050] The operating parameters include three-phase current and temperature; the operating characteristics include three-phase current imbalance, three-phase current change rate, and peak temperature.

[0051] Step S2: Perform fault prediction on the operating status of the distribution network through various types of operating characteristics to obtain fault prediction results; the fault prediction results include confirmed faults and suspected faults.

[0052] In this process, by comprehensively judging various types of operating characteristics, the operating status of the distribution network is predicted for faults. If a fault is confirmed, the fault isolation process is immediately initiated to ensure the safe and stable operation of the power grid. For suspected faults, the data is uploaded to the main station for further verification to avoid unnecessary operations caused by misjudgment.

[0053] Step S3: When the fault prediction result is a confirmed fault, the BeiDou positioning timestamp and the latitude and longitude information of the fault location are generated according to the BeiDou positioning system. The operation characteristics, BeiDou positioning timestamp and latitude and longitude information of the fault location are encrypted to generate encrypted data.

[0054] Among them, the high-precision positioning function of the BeiDou positioning system can quickly and accurately obtain the geographical location information of the fault location, and at the same time record the current time to generate a BeiDou positioning timestamp, providing accurate time and space reference for subsequent fault analysis and processing.

[0055] By encrypting the operational characteristics, BeiDou positioning timestamps, and latitude and longitude information of the fault location, encrypted data is generated, thereby ensuring the security and confidentiality of data transmission and preventing sensitive information from being illegally obtained or tampered with.

[0056] Step S4: Send the encrypted data to the master station through the secure transmission channel, so that the master station generates a fault isolation command based on the encrypted data and sends the fault isolation command to the relay, so that the relay executes the fault isolation command.

[0057] The secure transmission channel can employ a 4G / Ethernet dual-link TLS tunnel. After the encrypted data is sent to the master station via the secure transmission channel, the master station decrypts the encrypted data and generates a fault isolation command based on the encrypted data.

[0058] The fault isolation command is used to instruct each relay to restore or disconnect power. It also includes the timing relationship between the relays' operations. By issuing the fault isolation command to the relays, the relays execute the fault isolation command.

[0059] Step S5: If the fault prediction result is a suspected fault, the operating characteristics are sent to the main station for fault prediction verification. If the fault prediction verification result is a confirmed fault, a Beidou positioning timestamp is generated, and the operating characteristics and Beidou positioning timestamp are encrypted to generate encrypted data. If the fault prediction verification result is a non-fault, the process is switched to real-time monitoring of various types of operating parameters in the distribution network and the operating characteristics of each operating parameter are extracted.

[0060] In this system, when the fault prediction result indicates a suspected fault, the operational characteristics are sent to the main station for secondary manual verification, enabling a more accurate determination of whether it is a genuine fault. If the verification result confirms a fault, the system will quickly execute the same operation as in step S3, namely, generating a BeiDou positioning timestamp and encrypting the operational characteristics and the timestamp to generate encrypted data for subsequent fault isolation and data analysis. If the verification result indicates no fault, the system will immediately return to step S1 to continue monitoring various operational parameters in the distribution network in real time and extracting the operational characteristics of each parameter, ensuring that the stable operation of the distribution network is not affected by misjudgments. This dual-judgment mechanism greatly improves the accuracy and efficiency of fault handling, reducing unnecessary operations and losses.

[0061] It should be noted that this application embodiment monitors various types of operating parameters in the distribution network in real time and extracts the operating characteristics of each operating parameter. Based on these operating characteristics, a preliminary fault prediction is made on the operating status of the distribution network. When the fault prediction result is a confirmed fault, a BeiDou positioning timestamp and the latitude and longitude information of the fault location are generated according to the BeiDou positioning system. The operating characteristics, BeiDou positioning timestamp, and latitude and longitude information of the fault location are encrypted and sent to the master station through a secure transmission channel. The master station generates a fault isolation command based on the encrypted data and sends the fault isolation command to the relay, causing the relay to execute the fault isolation command. When the fault prediction result is a suspected fault, the fault prediction is reviewed again. Thus, through multiple fault determinations, the accuracy of fault judgment is improved, and false alarms and malfunctions are avoided.

[0062] In some embodiments, fault prediction is performed on the operating status of the distribution network using multiple types of operating characteristics to obtain fault prediction results, including:

[0063] Multiple types of operational features are input into a pre-trained decision tree algorithm, which then outputs fault prediction results based on preset judgment logic. The fault prediction results include confirmed faults and suspected faults.

[0064] The process of constructing a pre-trained decision tree algorithm includes:

[0065] Step S21: Obtain various types of operating characteristics of the distribution network when a fault occurs within a historical time period, as well as various types of operating characteristics of the distribution network when a suspected fault occurs.

[0066] Step S22: Mark the various types of operational characteristics when a fault occurs as positive samples, and mark the various types of operational characteristics when a suspected fault occurs as negative samples;

[0067] Step S23: Input the positive and negative samples into the initial decision tree algorithm for training to obtain the pre-trained decision tree algorithm.

[0068] For example, if the three-phase current imbalance is greater than a preset imbalance threshold and the three-phase current change rate is greater than a preset change rate threshold, it is determined to be a confirmed fault. If the temperature peak is greater than a preset temperature threshold for 15 seconds, it is determined to be a confirmed fault. If the three-phase current imbalance is greater than the preset imbalance threshold for less than 10 seconds, it is determined to be a suspected fault.

[0069] In some embodiments, a BeiDou positioning timestamp and the latitude and longitude information of the fault location are generated based on the BeiDou positioning system, and the operational characteristics, the BeiDou positioning timestamp, and the latitude and longitude information of the fault location are encrypted to generate encrypted data, including:

[0070] Step S301: Use the BeiDou positioning system to obtain the latitude and longitude information of the fault location and record the current time to generate a BeiDou positioning timestamp.

[0071] The system receives positioning signals from BeiDou satellites through the BeiDou positioning system, analyzes and processes the received positioning signals to extract the latitude and longitude coordinates of the fault location, and simultaneously calls the system's internal time recording function to accurately record the current time information, thereby generating a BeiDou positioning timestamp. This timestamp can accurately reflect the specific time when the fault occurred, providing a reliable time basis for subsequent fault analysis, processing, and tracing.

[0072] Step S302: Use the national cryptographic SM4 algorithm to encrypt the running characteristics, BeiDou positioning timestamp, and latitude and longitude information of the fault location to generate encrypted data.

[0073] The use of the national cryptographic algorithm SM4 to encrypt operational characteristics, BeiDou positioning timestamps, and latitude and longitude information of fault locations effectively ensures the security and confidentiality of data during transmission and storage. As a mature symmetric encryption algorithm, SM4 boasts advantages such as high encryption strength and fast processing speed, ensuring that encrypted data is difficult to illegally crack or tamper with, thus providing reliable data security for power distribution network fault handling.

[0074] Encrypted data is generated by generating a 128-bit random session key from the running features, encrypting the feature data packets using SM4-CBC mode, and attaching a BeiDou positioning timestamp as an initial vector.

[0075] In some embodiments, encrypted data is sent to the master station via a secure transmission channel, causing the master station to generate a fault isolation command based on the encrypted data, and then issue the fault isolation command to a relay, causing the relay to execute the fault isolation command, including:

[0076] Step S401: Send the encrypted data to the main station through a secure transmission channel, and verify the data integrity of the encrypted data through the main station.

[0077] Data integrity verification is a crucial step in ensuring that encrypted data is not tampered with or damaged during transmission. Upon receiving the encrypted data, the master station uses a pre-defined verification algorithm, such as hash value comparison, to verify the data's integrity and authenticity. Once the data passes integrity verification, the master station can securely decrypt it.

[0078] Step S402: After successfully verifying data integrity, issue a fault isolation command containing an RSA signature to the edge processor.

[0079] RSA signatures are a widely used asymmetric encryption technology. Through RSA signatures, the master station can ensure that the source of fault isolation commands is authentic and reliable, and that they have not been tampered with during transmission. Upon receiving a command, the edge processor first verifies the validity of the RSA signature; only after successful verification will it proceed with subsequent operations.

[0080] Step S403: Verify the RSA signature in the fault isolation instruction through the edge processor. After successful signature verification, send the fault isolation instruction to the relay to execute the fault isolation instruction.

[0081] Signature verification is a crucial step in ensuring the secure execution of fault isolation commands. Upon receiving a fault isolation command with an RSA signature from the master station, the edge processor verifies the signature using a pre-stored public key. During this process, the edge processor calculates the hash value of the command data and compares it with the hash value in the signature to confirm whether the command has been tampered with during transmission. Only after successful signature verification will the edge processor issue the fault isolation command to the corresponding relay, ensuring accurate execution of the command.

[0082] Typically, when the edge processor starts up, it requests a device certificate from the certification authority. After verifying the device's identity, the certification authority issues a digital certificate (valid for one year). Each communication carries the certificate and a real-time generated identity token. The master station verifies the certificate's validity through the certificate revocation list, establishing a two-way authentication mechanism (simultaneous verification by the master station and the edge processor), and automatically updates the session key every 24 hours.

[0083] In some embodiments, the method further includes:

[0084] Step S61: After the relay executes the fault isolation command, it sends a relay status contact signal back to the master station.

[0085] Among them, the relay status contact signal is an electrical signal generated by the change in the contact state of the relay itself after the fault isolation command is executed. This signal can accurately reflect whether the relay has successfully executed the operation in the fault isolation command, such as opening or closing the circuit.

[0086] Step S62: Check whether the relay status contact signal is consistent with the expected relay status contained in the fault isolation command through the master station.

[0087] The expected relay state is the state that the relay should reach in advance according to the fault isolation command issued by the master station, such as fully disconnected, partially disconnected, or kept closed. By comparing the actual detected relay state contact signal with this expected state, it is possible to effectively confirm whether the relay has executed the command accurately, which is crucial for ensuring power grid safety and preventing misoperation.

[0088] Step S63: If the determination is inconsistent, a verification command is sent from the master station to the edge processor. The verification command is used to instruct the edge processor to reconfirm the status contact signal of the relay.

[0089] If the judgments are inconsistent, it indicates that the relay may not have correctly executed the fault isolation command, or there may be abnormalities such as signal transmission errors or relay malfunctions. In this case, the master station will immediately send a verification command to the edge processor, requesting the edge processor to reconfirm the relay's status contact signal. After receiving the verification command, the edge processor will re-detect the relay's status contact signal and feed the detection result back to the master station for further analysis and processing. This verification mechanism can promptly detect and correct deviations in the relay's command execution process, ensuring the accuracy and effectiveness of fault isolation operations, thereby guaranteeing the safe and stable operation of the distribution network.

[0090] Step S64: The edge processor reconfirms the status contact signal of the relay according to the verification instruction, and feeds back the confirmed status contact signal of the relay to the master station; the master station compares the fed-back status contact signal of the relay with the expected relay status. If the comparison is inconsistent, the alarm mechanism is triggered, and the master station reissues the fault isolation instruction to the edge processor.

[0091] When the edge processor reconfirms the relay's status contact signal according to the verification command and feeds this confirmed signal back to the master station, the master station immediately compares the feedback signal with the previously set expected relay status. This comparison process is crucial, as it directly relates to whether the fault isolation operation is truly executed accurately. If the comparison finds that the feedback relay status contact signal is still inconsistent with the expected status, it indicates that the relay may not have operated correctly as required by the command, or that there are other unknown fault factors. At this time, the master station will quickly trigger the alarm mechanism, promptly alerting maintenance personnel to this abnormal situation through sound, light, or remote notification. Simultaneously, to restore the normal operation of the distribution network as quickly as possible, the master station will reissue the fault isolation command to the edge processor, ensuring that the relay can perform the correct operation again, thereby effectively isolating the fault point and preventing the fault range from expanding further.

[0092] Step S65: If the judgment is consistent, a power outage report is generated through the main station, and a work order is generated based on the power outage report and pushed to the designated operation and maintenance terminal.

[0093] When the master station detects that the relay status contact signal matches the expected relay status, it indicates that the fault isolation operation has been successfully completed. At this point, the master station automatically generates a detailed fault outage report. This report covers key information such as the time, location, type, and scope of the fault, as well as the specific procedures for fault isolation, providing crucial data support for subsequent fault analysis and handling. Subsequently, the master station automatically generates a corresponding work order based on this fault outage report and pushes it to the designated maintenance terminal through the system platform. Upon receiving the work order, maintenance personnel can quickly understand the fault situation and perform subsequent troubleshooting and repair work according to the work order requirements, thereby ensuring that the distribution network can return to normal operation as soon as possible.

[0094] In some embodiments, the method further includes:

[0095] Step S71: Monitor the communication status of the secure transmission channel in real time, and identify the abnormal type of the secure transmission channel and the corresponding handling strategy based on the communication status.

[0096] Step S72: Process the secure transmission channel according to the processing strategy.

[0097] In addition to dual communication links, disaster recovery mechanisms are fully considered in the event of communication interruption or abnormal data flow. The following methods are used to ensure the reliability of system operation.

[0098] The anomaly types include communication interruption, data out-of-order, certificate expiration, and command timeout. Communication interruption is detected by heartbeat timeout (the link status is detected by the heartbeat mechanism (once every 5 seconds), and the loss of 3 consecutive heartbeats is considered an interruption). Data out-of-order is detected by timestamp verification. Certificate expiration is detected by CRL verification failure. Command timeout is detected by a 500ms timer.

[0099] When communication is interrupted, the corresponding handling strategy is to enable local caching and backoff reconnection. The local caching uses a circular buffer to store structured data such as runtime feature timestamps and location data. The backoff algorithm reconnection adopts an exponential backoff strategy, with the first reconnection delayed by 1 second, and subsequent delays of 2 seconds, 4 seconds, and 8 seconds, with a maximum of 12 retries.

[0100] When data is out of order, the corresponding processing strategy is to execute the latest instruction and conflicting records. Executing the latest instruction is...

[0101] Upon detecting out-of-order data, the system prioritizes executing the most recently received valid command to ensure that actuators such as relays operate according to the latest control requirements, thus preventing malfunctions or execution conflicts caused by out-of-order data. The conflict log records detailed information about the detected out-of-order data, including the time of occurrence, the identifier of the involved data packets, and the specific manifestations of the out-of-order behavior, providing a basis for subsequent data analysis and system optimization.

[0102] When a certificate expires, the corresponding handling strategy is to block the connection and reapply for a new certificate. The system will immediately block the connection, revoke the currently expired certificate, and simultaneously initiate a new certificate application with the certification authority. While waiting for the new certificate to be issued, the system will monitor the communication status. Once the new certificate application is successful and verification is completed, normal communication with the master station will be immediately restored, ensuring the security and continuity of data transmission. This handling strategy effectively prevents security risks that may arise due to certificate expiration and guarantees the reliability of system communication.

[0103] When an instruction times out, the corresponding handling strategy is to resend the instruction and record the timeout event. Upon detecting an instruction timeout, the system automatically triggers the instruction resend mechanism, resending the fault isolation instruction to the edge processor or relay according to the preset number of resends and intervals. Simultaneously, the system records detailed information about the timeout event, including the time of the timeout, the type of instruction involved, and the number of resends.

[0104] Based on the same inventive concept, this application also provides a distribution network multi-parameter fault handling system for implementing the above-mentioned distribution network multi-parameter fault handling method.

[0105] The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the distribution network multi-parameter fault handling system provided below can be found in the limitations of the distribution network multi-parameter fault handling method described above, and will not be repeated here.

[0106] like Figure 2 As shown in the figure, this application provides a multi-parameter fault handling system for a power distribution network, including:

[0107] The data monitoring module 100 is used to monitor various types of operating parameters in the power distribution network in real time and extract the operating characteristics of each operating parameter.

[0108] The fault prediction module 200 is used to predict the fault status of the distribution network through various types of operating characteristics and obtain the fault prediction results; the fault prediction results include confirmed faults and suspected faults;

[0109] The data encryption module 300 is used to generate a BeiDou positioning timestamp and the latitude and longitude information of the fault location based on the BeiDou positioning system when the fault prediction result is a confirmed fault. It also encrypts the operation characteristics, the BeiDou positioning timestamp, and the latitude and longitude information of the fault location to generate encrypted data.

[0110] The instruction issuing module 400 is used to send encrypted data to the master station through a secure transmission channel, so that the master station generates a fault isolation instruction based on the encrypted data and issues the fault isolation instruction to the relay, so that the relay executes the fault isolation instruction;

[0111] The fault prediction and verification module 500 is used to send the operating characteristics to the main station for fault prediction verification when the fault prediction result is a suspected fault. If the fault prediction and verification result is a confirmed fault, it generates a Beidou positioning timestamp and encrypts the operating characteristics and Beidou positioning timestamp to generate encrypted data. If the fault prediction and verification result is a non-fault, it switches to real-time monitoring of various types of operating parameters in the distribution network and extracts the operating characteristics of each operating parameter.

[0112] In some embodiments, operating parameters include three-phase current and temperature; operating characteristics include three-phase current imbalance, three-phase current rate of change, and peak temperature.

[0113] Fault prediction module 200 is used for:

[0114] Multiple types of operational features are input into a pre-trained decision tree algorithm, which then outputs fault prediction results based on a preset judgment logic. The fault prediction results include confirmed faults and suspected faults.

[0115] The process of constructing a pre-trained decision tree algorithm includes:

[0116] Obtain various types of operational characteristics of the distribution network during faults within historical time periods, as well as various types of operational characteristics of the distribution network during suspected faults.

[0117] Multiple types of operational characteristics when a fault occurs are labeled as positive samples, and multiple types of operational characteristics when a suspected fault occurs are labeled as negative samples;

[0118] Positive and negative samples are input into the initial decision tree algorithm for training, resulting in a pre-trained decision tree algorithm.

[0119] In some embodiments, the data encryption module 300 is used for:

[0120] The latitude and longitude information of the fault location is obtained using the BeiDou positioning system, and the current time is recorded to generate a BeiDou positioning timestamp;

[0121] The SM4 algorithm (a national cryptographic standard) is used to encrypt the operational characteristics, BeiDou positioning timestamps, and latitude and longitude information of the fault location to generate encrypted data.

[0122] In some embodiments, the instruction issuing module 400 is used for:

[0123] The encrypted data is sent to the main station through a secure transmission channel, and the main station verifies the integrity of the encrypted data.

[0124] After successfully verifying data integrity, a fault isolation command containing an RSA signature is sent to the edge processor;

[0125] The edge processor verifies the RSA signature in the fault isolation instruction. After successful signature verification, the fault isolation instruction is sent to the relay, causing the relay to execute the fault isolation instruction.

[0126] In some embodiments, the system further includes: a feedback comparison module, used for:

[0127] After the relay executes the fault isolation command, it sends a relay status contact signal back to the master station.

[0128] The main station checks whether the relay status contact signal is consistent with the expected relay status contained in the fault isolation command.

[0129] If the judgment is inconsistent, a verification command is sent from the master station to the edge processor. The verification command is used to instruct the edge processor to reconfirm the status contact signal of the relay.

[0130] The edge processor reconfirms the status contact signal of the relay according to the verification command and feeds back the confirmed status contact signal of the relay to the master station. The master station compares the fed-back status contact signal of the relay with the expected relay status. If the comparison is inconsistent, the alarm mechanism is triggered and the master station reissues the fault isolation command to the edge processor.

[0131] If the judgment is consistent, a power outage report is generated through the main station, and a work order is generated based on the power outage report and pushed to the designated operation and maintenance terminal.

[0132] In some embodiments, the system further includes: a communication processing module, configured to:

[0133] Real-time monitoring of the communication status of the secure transmission channel, and identification of the anomaly type of the secure transmission channel based on the communication status, as well as the corresponding handling strategy for the anomaly type;

[0134] The secure transmission channel is processed according to the processing strategy.

[0135] like Figure 3 As shown in the figure, this application provides an electronic device. The electronic device 10 includes a memory 20 and a processor 30. The memory 20 stores a computer program. When the computer program is executed by the processor 30, the processor 30 performs the steps of the power distribution network multi-parameter fault handling method as described in the above embodiment.

[0136] This application provides a computer-readable storage medium storing a computer program thereon, which, when executed, implements the steps of the power distribution network multi-parameter fault handling method as described in the above embodiments.

[0137] This application provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the distribution network multi-parameter fault handling method as described in the above embodiments.

[0138] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, electronic devices, computer storage media, and computer program products described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0139] It should be noted that the terms "comprising" and "having" and any variations thereof in the specification, claims and accompanying drawings of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such processes, methods, products or devices.

[0140] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0141] In the several embodiments provided by this invention, it should be understood that the disclosed systems, electronic devices, computer storage media, computer program products, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0142] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0143] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0144] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the methods described in the various embodiments of the present invention through a computer device (which may be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0145] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for handling multi-parameter faults in a power distribution network, characterized in that, include: Real-time monitoring of various types of operating parameters in the power distribution network, and extraction of the operating characteristics of each operating parameter; The operating status of the distribution network is predicted by using various types of operating characteristics, and the prediction results are obtained. The fault prediction results include confirmed faults and suspected faults; When the fault prediction result is a confirmed fault, a BeiDou positioning timestamp and the latitude and longitude information of the fault location are generated according to the BeiDou positioning system, and the operation characteristics, the BeiDou positioning timestamp and the latitude and longitude information of the fault location are encrypted to generate encrypted data; The encrypted data is sent to the main station through a secure transmission channel, so that the main station generates a fault isolation command based on the encrypted data and sends the fault isolation command to the relay, so that the relay executes the fault isolation command. When the fault prediction result is a suspected fault, the operating characteristics are sent to the main station for fault prediction verification. If the fault prediction verification result is a confirmed fault, the following steps are performed: when the fault prediction result is a confirmed fault, a BeiDou positioning timestamp is generated, and the operating characteristics and the BeiDou positioning timestamp are encrypted to generate encrypted data. If the fault prediction verification result is a non-fault, the process is switched to real-time monitoring of various types of operating parameters in the distribution network, and the operating characteristics of each operating parameter are extracted.

2. The method for handling multi-parameter faults in a distribution network according to claim 1, characterized in that, The operating parameters include three-phase current and temperature; the operating characteristics include three-phase current imbalance, three-phase current rate of change, and peak temperature. The method of predicting faults in the operating status of the distribution network through various types of operating characteristics, and obtaining fault prediction results, includes: The various types of operational features are input into a pre-trained decision tree algorithm, which outputs a fault prediction result based on a preset judgment logic. The fault prediction result includes confirmed faults and suspected faults. The process of constructing the pre-trained decision tree algorithm includes: The system acquires various types of operational characteristics of the distribution network during historical time periods when faults occur, as well as various types of operational characteristics of the distribution network when suspected faults occur. Multiple types of operational characteristics when a fault occurs are labeled as positive samples, and multiple types of operational characteristics when a suspected fault occurs are labeled as negative samples; The positive and negative samples are input into the initial decision tree algorithm for training to obtain the pre-trained decision tree algorithm.

3. The method for handling multi-parameter faults in a distribution network according to claim 1, characterized in that, The system generates a BeiDou positioning timestamp and the latitude and longitude information of the fault location based on the BeiDou positioning system. It then encrypts the operational characteristics, the BeiDou positioning timestamp, and the latitude and longitude information of the fault location to generate encrypted data, including: The latitude and longitude information of the fault location is obtained using the BeiDou positioning system, and the current time is recorded to generate a BeiDou positioning timestamp; The operational characteristics, BeiDou positioning timestamp, and latitude and longitude information of the fault location are encrypted using the national cryptographic SM4 algorithm to generate the encrypted data.

4. The method for handling multi-parameter faults in a distribution network according to claim 1, characterized in that, The step of sending the encrypted data to the master station via a secure transmission channel, causing the master station to generate a fault isolation command based on the encrypted data, and then issuing the fault isolation command to the relay to execute the fault isolation command includes: The encrypted data is sent to the main station via a secure transmission channel, and the main station verifies the data integrity of the encrypted data. After successfully verifying data integrity, a fault isolation command containing an RSA signature is sent to the edge processor; The edge processor verifies the RSA signature in the fault isolation instruction. After successful signature verification, the fault isolation instruction is sent to the relay, causing the relay to execute the fault isolation instruction.

5. The method for handling multi-parameter faults in a distribution network according to claim 4, characterized in that, Also includes: After the relay executes the fault isolation command, it sends a relay status contact signal back to the master station. The master station detects whether the relay status contact signal is consistent with the expected relay status contained in the fault isolation command; If the determination is inconsistent, a verification command is sent from the master station to the edge processor. The verification command is used to instruct the edge processor to reconfirm the status contact signal of the relay. The edge processor reconfirms the status contact signal of the relay according to the verification instruction, and feeds back the confirmed status contact signal of the relay to the master station. The master station compares the fed-back status contact signal of the relay with the expected relay status. If the comparison is inconsistent, an alarm mechanism is triggered, and the master station reissues the fault isolation instruction to the edge processor. If the judgment is consistent, a power outage report is generated through the main station, and a work order is generated based on the power outage report and pushed to the designated operation and maintenance terminal.

6. The method for handling multi-parameter faults in a distribution network according to claim 1, characterized in that, Also includes: The communication status of the secure transmission channel is monitored in real time, and the anomaly type of the secure transmission channel and the corresponding handling strategy are identified based on the communication status. The secure transmission channel is processed according to the processing strategy described above.

7. A multi-parameter fault handling system for a power distribution network, characterized in that, include: The data monitoring module is used to monitor various types of operating parameters in the power distribution network in real time and extract the operating characteristics of each operating parameter. The fault prediction module is used to predict the fault status of the distribution network through various types of operating characteristics and obtain the fault prediction result. The fault prediction results include confirmed faults and suspected faults; The data encryption module is used to generate a BeiDou positioning timestamp and the latitude and longitude information of the fault occurrence point according to the BeiDou positioning system when the fault prediction result is a confirmed fault, and to encrypt the operation characteristics, the BeiDou positioning timestamp and the latitude and longitude information of the fault occurrence point to generate encrypted data. The instruction issuing module is used to send the encrypted data to the master station through a secure transmission channel, so that the master station generates a fault isolation instruction based on the encrypted data and issues the fault isolation instruction to the relay, so that the relay executes the fault isolation instruction; The fault prediction and verification module is used to send the operating characteristics to the main station for fault prediction verification when the fault prediction result is a suspected fault. If the fault prediction and verification result is a confirmed fault, the module generates a BeiDou positioning timestamp and encrypts the operating characteristics and the BeiDou positioning timestamp to generate encrypted data. If the fault prediction and verification result is a non-fault, the module switches to real-time monitoring of various types of operating parameters in the distribution network and extracts the operating characteristics of each operating parameter.

8. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor performs the steps of the multi-parameter fault handling method for power distribution networks as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the steps of the multi-parameter fault handling method for distribution networks as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, wherein when the program instructions are executed by a computer, the computer performs the steps of the distribution network multi-parameter fault handling method as described in any one of claims 1-6.

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