Regional power failure real-time monitoring method and device under extreme natural disaster and storage medium

Abstract

The invention discloses an area power failure real-time monitoring method and device under extreme natural disasters and a storage medium, and belongs to the technical field of power failure monitoring, and the method comprises the steps: detecting whether each area in an area has an area power failure event or not through a preset multi-dimensional area power failure judgment rule; if the transformer area power failure event is detected, transformer area collection data and user uploading data in the transformer area are obtained, and primary verification based on the transformer area collection data and secondary verification based on the user uploading data in the transformer area are carried out on the transformer area power failure event; if the results of the primary verification and the secondary verification are that the power failure event of the transformer area is real, generating the power failure event of the transformer area; judging whether the power supply line is powered off according to the number of the transformer area power failure events in the power supply line; and according to the number of the power-off power supply lines in the area, judging whether the area is powered off. According to the invention, by designing a multi-dimensional transformer area power failure judgment rule, a multiple verification mechanism and multi-level power failure range detection, the problems of failure report and false report of a power failure event are solved.

Description

Technical Field

[0001] The invention relates to a method, a device and a storage medium for real-time monitoring of regional power outages under extreme natural disasters, and belongs to the technical field of power outage monitoring. Background Art

[0002] Under the influence of extreme natural disasters such as typhoons, floods, earthquakes, and ice and snow disasters, the terminal system of the distribution network often faces the risk of large-scale power outages, which seriously affects social livelihood and economic operation. Accurate real-time monitoring of the power outage range is of great strategic significance for supporting emergency repair decisions, accelerating power supply restoration, and ensuring social order. The current power outage monitoring system has obvious technical limitations: its monitoring range is mainly limited to a single power consumption area, and lacks the ability to monitor cross-area lines and regional power outages.

[0003] The existing power outage monitoring mechanism based on acquisition terminals has exposed significant defects in extreme disaster scenarios: first, the terminal equipment can only rely on the backup power supply to maintain short-term operation after the power outage, and the lack of power supply reliability leads to the loss of monitoring data; second, the cluster power outage events caused by disasters will cause a large number of terminals to initiate communication requests at the same time, causing channel congestion and data packet loss; third, the signal attenuation of mobile communication base stations in disaster environments further deteriorates the data transmission quality. These systematic defects seriously restrict the complete collection and real-time upload of power outage information during disasters, and directly affect the response speed and resource allocation efficiency of emergency repairs. Therefore, building a highly robust terminal power grid panoramic power outage monitoring system has become a key technical problem that needs to be broken through in the current field of disaster prevention and mitigation of distribution networks. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device and storage medium for real-time monitoring of regional power outages under extreme natural disasters, so as to solve the problem of underreporting of power outage events caused by factors such as channel blocking and mobile base station signal attenuation under extreme natural disasters.

[0005] To achieve the above objectives, the present invention is implemented by adopting the following technical solutions: In a first aspect, the present invention provides a method for real-time monitoring of regional power outages under extreme natural disasters, comprising: Through the preset multi-dimensional area power outage judgment rules, detect whether each area in the area has an area power outage event; If a power outage event is detected in the substation area, the substation area collected data and the data uploaded by users in the substation area are obtained, and the power outage event in the substation area is verified once based on the substation area collected data and twice based on the data uploaded by users in the substation area; If the results of the first verification and the second verification are that the power outage event in the substation is true, then a power outage event in the substation is generated; According to the number of power outage events in the power supply line, determine whether the power supply line is out of power; Judge whether the area is powered off according to the number of power supply lines powered off in the area.

[0006] Further, detecting whether a power outage event occurs in each substation area in the area through a preset multi-dimensional power outage judgment rule for substation areas includes: In response to detecting that the acquisition terminal of the substation area fails to successfully respond to the timing operation instruction, a power outage event occurs in this substation area; Or, in response to detecting that the acquisition data uploaded by the acquisition terminal of the substation area cannot be received, mark the acquisition terminal of this substation area as offline, then a power outage event occurs in this substation area; The data acquisition frequency of the acquisition terminal is greater than or equal to 2 times per hour.

[0007] Further, the primary verification based on the acquisition data of the substation area is carried out through the following method: Obtain the voltage uploaded by the acquisition terminal of the substation area corresponding to the power outage event of the substation area. If the voltage is greater than 70% of the rated voltage of the acquisition terminal, the power outage event of the substation area is a false alarm, otherwise the power outage event of the substation area is real.

[0008] Further, the secondary verification based on the data uploaded by users in the substation area is carried out through the following method: Obtain the user power outage events uploaded by each user electricity meter in the substation area corresponding to the power outage event of the substation area. If the number of user power outage events exceeds 60% of the total number of users, the power outage event of the substation area is real, otherwise the power outage event of the substation area is a false alarm.

[0009] Further, the secondary verification based on the data uploaded by users in the substation area also includes: in response to detecting that each user electricity meter in the substation area corresponding to the power outage event of the substation area does not upload a user power outage event, randomly send instructions to multiple user electricity meters under this substation area. If no response from any electricity meter is received, the power outage event of the substation area is real, otherwise the power outage event of the substation area is a false alarm.

[0010] Further, judging whether the power supply line is powered off according to the number of power outage events of the substation areas in the power supply line includes: If the number of power outage events of the substation areas in the power supply line exceeds 60% of the number of substation areas in this power supply line, this power supply line is powered off.

[0011] Further, judging whether the area is powered off according to the number of power supply lines powered off in the area includes: If the number of power supply lines powered off in the area exceeds 60% of the number of power supply lines in this area, this area is powered off.

[0012] Further, when determining whether a power outage event occurs in each substation area in the detection area, all power outage events that occur within M minutes before and after a certain moment are regarded as power outage events that occur simultaneously, and all power outage events that occur within M minutes before and after a certain moment are regarded as one power outage event in a substation area; M is a preset time tolerance parameter and is a constant.

[0013] In a second aspect, the present invention provides a real-time monitoring device for regional power outages under extreme natural disasters, including: A substation area power outage detection module, configured to: detect whether a power outage event occurs in each substation area in the area through a preset multi-dimensional substation area power outage judgment rule; A substation area power outage verification module, configured to: if a power outage event in the substation area is detected, obtain substation area collection data and data uploaded by users in the substation area, and perform a primary verification based on the substation area collection data and a secondary verification based on the data uploaded by users in the substation area for the power outage event in the substation area; A substation area power outage event generation module, configured to: if the results of both the primary verification and the secondary verification are that the power outage event in the substation area is true, generate a power outage event in the substation area; A power supply line power outage detection module, configured to: judge whether the power supply line is powered off according to the number of power outage events in the substation areas in the power supply line; A regional power outage detection module, configured to: judge whether the region is powered off according to the number of powered-off power supply lines in the region.

[0014] In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program / instructions are stored, and when the computer program / instructions are executed by a processor, the steps of the real-time monitoring method for regional power outages under extreme natural disasters described in any one of the first aspects are implemented.

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are: A real-time monitoring method, device and storage medium for regional power outages under extreme natural disasters provided by the present invention effectively solve the problem of missed reporting of power outage events caused by factors such as channel blockage and mobile base station signal attenuation in extreme natural disaster weather through designing a multi-dimensional substation area power outage judgment rule, a multiple verification mechanism, and a multi-level power outage range detection, greatly expanding the power outage monitoring range and significantly improving the accuracy and real-time performance of substation area power outage monitoring.

[0016] The multi-dimensional substation area power outage judgment rule reflects the characteristics of active polling. The primary verification and secondary verification processes adopt a two-way communication verification mechanism, and its active polling and two-way communication verification mechanism can still maintain a high communication success rate in a harsh communication environment, significantly improving the environmental adaptability and operation reliability of the system; it not only optimizes the detection and reporting process of power outage events, but also further improves the regional power supply reliability, thereby greatly improving user satisfaction.

[0017] Compared with traditional monitoring methods, the technical solution significantly improves the accuracy of power outage event recognition, effectively reduces the rates of missed reports and false alarms, and is more adaptable to extreme weather conditions. Practical applications show that the technical solution can still maintain excellent monitoring performance under extreme weather conditions, and the monitoring scope can be extended to the regional-level power grid, providing an innovative solution for disaster prevention and mitigation of smart distribution networks, with important engineering application value and broad promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of a method for real-time monitoring of regional power outages under extreme natural disasters corresponding to Embodiment 1 of the present invention; Figure 2 is a flowchart of a method for real-time monitoring of regional power outages under extreme natural disasters corresponding to Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and should not be used to limit the protection scope of the present invention.

[0020] Embodiment 1.

[0021] As Figure 1 shown, this embodiment provides a method for real-time monitoring of regional power outages under extreme natural disasters, including: Detect whether there is a power outage event in each substation area in the region through a preset multi-dimensional substation area power outage judgment rule; If a power outage event in the substation area is detected, obtain the substation area collection data and the data uploaded by users in the substation area, and perform a primary verification based on the substation area collection data and a secondary verification based on the data uploaded by users in the substation area for the power outage event in the substation area; If the results of both the primary verification and the secondary verification are that the power outage event in the substation area is real, generate a power outage event in the substation area; Judge whether the power supply line is powered off according to the number of power outage events in the substation areas in the power supply line; Judge whether the region is powered off according to the number of powered-off power supply lines in the region.

[0022] By designing a multi-dimensional substation area power outage judgment rule and a multiple verification mechanism, and through multi-level power outage scope detection, the present invention effectively solves the problem of missed reports of power outage events caused by factors such as channel blockage and mobile base station signal attenuation under extreme natural disaster weather, greatly expands the power outage monitoring scope, and significantly improves the accuracy and real-time performance of substation area power outage monitoring.

[0023] Embodiment 2.

[0024] As Figure 2As shown in the figure, this embodiment provides a real-time monitoring method for regional power outages under extreme natural disasters, including: Step S1: Multi-dimensional detection of power outage events in the substation area: Design multi-dimensional trigger rules for power outages in the substation area. When the master station receives a power outage event reported by the substation area collection terminal or detects that the online status of the substation area collection terminal is offline, verify the power outage event in the substation area; Step S2: Primary verification of power outage events in the substation area: The master station calls and measures the voltage data of the substation area collection terminal to verify whether the power outage event in the substation area is real; Step S3: Secondary verification of power outage events in the substation area: If it is determined in Step S2 that the power outage event in the substation area is real, the master station then detects the user electricity meters under the substation area to conduct secondary verification of the power outage event in the substation area; Step S4: Generation of power outage events in the substation area: If it is determined in Step S3 that the power outage event in the substation area is real, the master station generates a power outage event in the substation area.

[0025] Step S5: Judgment of power outages in the power supply line: Based on the number of substations with power outage events generated under the power supply line, judge the power outage in the power supply line; Step S6: Judgment of regional power outages: Based on the number of power supply lines with power outage events generated in the region, judge the regional power outage; Step S7: Generation of power outage area distribution map: Generate a power outage area distribution map under extreme natural disaster weather based on the judged power outage substations, power outage lines, and power outage regions.

[0026] In Step S1, the following specific settings are made: To avoid missed reporting of power outage events by the substation area collection terminal, this application proposes to add checking the online status of the substation area collection terminal as an additional power outage monitoring method. The master station will regularly send operation instructions to the substation area collection terminal. If it is detected that the substation area collection terminal fails to successfully respond to the instructions, it means that the substation area collection terminal is in an offline state, and the master station will verify the power outage event in the substation area.

[0027] Verification of the online status of the substation area collection terminal can also be carried out by adding an online status label to the substation area collection terminal. This application proposes to add an online status label to the substation area collection terminal, which is defaulted to "online". When the master station cannot receive the collection data uploaded by the substation area collection terminal, the online status label is set to "offline", and the master station verifies the power outage event in the substation area. It should be noted that in this method, the higher the data collection frequency of the substation area collection terminal, the higher the accuracy of the master station's judgment of its online status. Too low a data collection frequency may cause the master station to be unable to accurately judge in real time whether there is a power outage in the substation area. Therefore, it is required that the data collection frequency of the collection terminal is greater than or equal to 2 times per hour.

[0028] In Step S2, the following specific settings are made: Judge whether the district acquisition terminal is still working by calling and measuring the acquisition data of the terminal. If the voltage of the district acquisition terminal called by the master station is greater than the set threshold (70% of the rated voltage of the acquisition terminal), it indicates that the acquisition terminal is still working normally, the district has not lost power, and the master station judges that the power outage event of the district is a false alarm.

[0029] The following settings are specifically carried out in step S3: Confirm whether the district is truly powered off by querying the number of power outage events reported by user electric meters. If more than a certain proportion (set to 60% in this embodiment) of the user electric meters in the district report power outage events in the same time period, the master station judges that the power outage event reported by the district is true.

[0030] If the user power outage event cannot be queried, verify the status of the user electric meters in the district to confirm again whether the district is truly powered off. After the master station receives the power outage event reported by the district acquisition terminal, randomly send instructions to the electric meters of X users in the district. If no electric meter responds, it is judged that the power outage event reported by the district is true.

[0031] The following settings are specifically carried out in step S5: Considering the simultaneity of terminal power outages under the same power supply node, adopt the district cluster power outage discrimination algorithm. The specific implementation method is: monitor the operation status of each distribution transformer under the same power supply line in real time. When the number of districts reporting power outage events simultaneously under this line exceeds the preset threshold (set to half of the total number of districts in this embodiment), it is determined that a power outage fault has occurred on this power supply line, and a power supply line power outage event is automatically generated.

[0032] The following settings are specifically carried out in step S6: Considering the simultaneity of terminal power outages under the same power supply node, adopt the line cluster power outage discrimination algorithm. The specific implementation method is: monitor the status of each line in the same area in real time. When the number of lines generating power outage events simultaneously in this area exceeds the preset threshold (set to 60% of the total number of power supply lines in this embodiment), it is determined that a power outage fault has occurred in this area, and a regional power outage event is automatically generated.

[0033] In steps S5 and S6, considering the update delay of different terminal power outage states, adopt the power outage event synchronization judgment algorithm based on the time window. The specific implementation method is: set a configurable time tolerance parameter M (default value is 15 minutes). For a certain reference time, all power outage events reported within the M-minute time window before and after this time are regarded as power outage events that occur synchronously and are included in the same batch for aggregation analysis.

[0034] In summary, the method provided in this embodiment establishes a complete verification system for power outage events in the distribution area by constructing a master station active polling mechanism, a multi-terminal collaborative verification model, and a voltage characteristic analysis algorithm. Its active polling and two-way communication verification mechanism can still maintain a high communication success rate in a harsh communication environment, significantly improving the environmental adaptability and operation reliability of the system. The multi-level power outage scope judgment model constructed based on deep learning realizes the accurate positioning of large-scale power outage events across distribution areas, greatly improving the accuracy of power outage monitoring. Compared with traditional monitoring methods, this technical solution significantly improves the accuracy of power outage event recognition, effectively reduces the omission and false alarm rates, and is more suitable for extreme weather conditions. Practical applications show that this technical solution can still maintain excellent monitoring performance under extreme weather conditions, and the monitoring scope can be extended to the regional-level power grid, providing an innovative solution for disaster prevention and mitigation of intelligent distribution networks, with important engineering application value and broad promotion prospects.

[0035] Embodiment 3.

[0036] Based on the same technical concept as in Embodiment 1, this embodiment provides a real-time monitoring device for regional power outages under extreme natural disasters, including: A distribution area power outage detection module, configured to: detect whether a power outage event occurs in each distribution area in the region through a preset multi-dimensional distribution area power outage judgment rule; A distribution area power outage verification module, configured to: if a power outage event in the distribution area is detected, obtain the distribution area collection data and the data uploaded by users in the distribution area, and perform a primary verification based on the distribution area collection data and a secondary verification based on the data uploaded by users in the distribution area for the power outage event in the distribution area; A distribution area power outage event generation module, configured to: if the results of both the primary verification and the secondary verification are that the power outage event in the distribution area is true, generate a power outage event in the distribution area; A power supply line power outage detection module, configured to: judge whether the power supply line is powered off according to the number of power outage events in the distribution areas in the power supply line; A regional power outage detection module, configured to: judge whether the region is powered off according to the number of powered-off power supply lines in the region.

[0037] Embodiment 4.

[0038] Based on the same technical concept as in Embodiment 1, the present invention provides a computer-readable storage medium, on which a computer program / instructions are stored. When the computer program / instructions are executed by a processor, the steps of the real-time monitoring method for regional power outages under extreme natural disasters provided in Embodiment 1 are implemented: Detect whether a power outage event occurs in each distribution area in the region through a preset multi-dimensional distribution area power outage judgment rule; If a power outage event in the substation area is detected, obtain the substation area collection data and the data uploaded by users in the substation area, and perform a primary verification based on the substation area collection data and a secondary verification based on the data uploaded by users in the substation area for the power outage event in the substation area; If the results of both the primary verification and the secondary verification are that the power outage event in the substation area is true, generate the power outage event in the substation area; Judge whether the power supply line is powered off according to the number of power outage events in the substation area in the power supply line; Judge whether the area is powered off according to the number of powered-off power supply lines in the area.

[0039] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0040] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate for implementing in the process Figure 1 a process or multiple processes and / or blocks Figure 1 a device for the functions specified in one or more blocks.

[0041] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements in the process Figure 1 a process or multiple processes and / or blocks Figure 1 the functions specified in one or more blocks.

[0042] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Therefore, the instructions executed on the computer or other programmable device provide for implementing in the process Figure 1 a process or multiple processes and / or blocks Figure 1Steps of the functions specified in one or more boxes.

[0043] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A real-time monitoring method for regional power outages under extreme natural disasters, characterized in that: include: Through the preset multi-dimensional area power outage judgment rules, detect whether each area in the area has an area power outage event; If a power outage event is detected in the substation area, the substation area collected data and the data uploaded by users in the substation area are obtained, and the power outage event in the substation area is verified once based on the substation area collected data and twice based on the data uploaded by users in the substation area; If the results of the first verification and the second verification are that the power outage event in the substation is true, then a power outage event in the substation is generated; According to the number of power outage events in the power supply line, determine whether the power supply line is out of power; Determine whether a region has a power outage based on the number of power supply lines that have been cut off in the region.

2. The real-time monitoring method for regional power outages under extreme natural disasters according to claim 1 is characterized in that: The method of detecting whether a power outage event occurs in each area in the region by using a preset multi-dimensional area power outage judgment rule includes: In response to detecting that the acquisition terminal of the substation fails to successfully respond to the timing operation instruction, a substation power outage event occurs in the substation; Alternatively, in response to detecting that the collected data uploaded by the collection terminal of the substation cannot be received, the collection terminal of the substation is marked as offline, and a substation power outage event occurs in the substation; The data collection frequency of the collection terminal is greater than or equal to 2 times / hour.

3. The real-time monitoring method for regional power outages under extreme natural disasters according to claim 1 is characterized in that: The primary verification based on the data collected in the station area is carried out by the following method: The voltage uploaded by the acquisition terminal of the substation corresponding to the substation power outage event is obtained. If the voltage is greater than 70% of the rated voltage of the acquisition terminal, the substation power outage event is a false alarm, otherwise the substation power outage event is true.

4. The method for real-time monitoring of regional power outages under extreme natural disasters according to claim 1 is characterized in that: The secondary verification based on the data uploaded by users in the station area is performed by the following method: Get the user power outage events uploaded by each user meter in the substation corresponding to the substation power outage event. If the number of user power outage events exceeds 60% of the total number of users, the substation power outage event is true, otherwise the substation power outage event is a false alarm.

5. The method for real-time monitoring of regional power outages under extreme natural disasters according to claim 4 is characterized in that: The secondary verification based on the data uploaded by users in the substation also includes: in response to detecting that the user meters in the substation corresponding to the substation power outage event have not uploaded the user power outage event, randomly sending instructions to multiple user meters under the substation; if no response is received from any meter, the substation power outage event is true, otherwise the substation power outage event is a false alarm.

6. The real-time monitoring method for regional power outages under extreme natural disasters according to claim 1 is characterized in that: The step of judging whether a power supply line is out of power according to the number of power outage events in the power supply line includes: If the number of power outage events in the substations of a power supply line exceeds 60% of the number of substations in the power supply line, the power supply line will be out of power.

7. The method for real-time monitoring of regional power outages under extreme natural disasters according to claim 1, characterized in that: The determining whether a region has a power outage according to the number of power supply lines that have a power outage in the region includes: If the number of power supply lines that are out of power in an area exceeds 60% of the number of power supply lines in the area, the area is out of power.

8. The method for real-time monitoring of regional power outages under extreme natural disasters according to claim 1, characterized in that: When detecting whether each substation in the area has a substation power outage event, all substation power outage events that occur within M minutes before and after a certain moment are regarded as synchronous power outage events, and all substation power outage events that occur within M minutes before and after a certain moment are regarded as one substation power outage event; M is a preset time tolerance parameter, which is a constant.

9. A real-time monitoring device for regional power outages under extreme natural disasters, characterized in that: include: The substation power outage detection module is configured to: detect whether a substation power outage event occurs in each substation in the area through a preset multi-dimensional substation power outage judgment rule; The power outage verification module is configured to: if a power outage event in the substation is detected, obtain the substation collected data and the data uploaded by users in the substation, and perform a primary verification of the power outage event in the substation based on the data collected in the substation and a secondary verification based on the data uploaded by users in the substation; The power outage event generating module is configured to: if the results of the first verification and the second verification are that the power outage event is true, then generate the power outage event; The power supply line power outage detection module is configured to: determine whether the power supply line is out of power according to the number of power outage events in the substation of the power supply line; The regional power outage detection module is configured to determine whether a region has a power outage based on the number of power supply lines that have a power outage in the region.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of the method for real-time monitoring of regional power outages under extreme natural disasters described in any one of claims 1 to 8 are implemented.

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