CN111562460A - Power distribution network power failure event detection research and judgment method, device, computer equipment and medium - Google Patents
Power distribution network power failure event detection research and judgment method, device, computer equipment and medium Download PDFInfo
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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Abstract
The invention discloses a power failure event detection, study and judgment method, a device, computer equipment and a medium for a power distribution network in the technical field of power grids, wherein the device, the computer equipment and the medium are used for realizing the power failure event detection, study and judgment method for the power distribution network; reading three-phase electrical parameters corresponding to the power failure event; when the three-phase electrical parameters are zero or cannot be read, the initial power failure event is preliminarily determined; timing the power failure time corresponding to the preliminary power failure event; and when the power failure time is greater than a preset power failure time threshold value, determining that the power failure event is real. The power failure event reported by the terminal in the power distribution network terminal is verified based on the three-phase electric parameters and the power failure time, so that the power failure time in the power distribution network can be efficiently and accurately detected, and the normal and safe operation of the power distribution network is ensured.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a power distribution network power failure event detection studying and judging method, a device, computer equipment and a medium.
Background
The low-voltage distribution network is a main component in a power distribution network. Particularly, a low-voltage power distribution network is the tail end of the power grid, and due to the fact that the power distribution network is large in involved area, complex in structure, numerous in equipment, low in automation level and the like, management blind spots are multiple, and especially power supply equipment between a station and a low-voltage user is always in a blind zone of equipment monitoring.
In addition, most 10kV power distribution rooms are also under unattended conditions, and daily maintenance is carried out only by timing manual inspection or after a fault work order is received. Under such a realistic condition, the operation, maintenance and repair work of the 10kV power distribution room and the following distribution network is very passive, the normal power supply is ensured in an important holiday requiring power protection and even in a manual squatting mode, and the large number of low-voltage power distribution rooms causes great waste of human resources. Because of the lack of effective online monitoring means, the power failure event of a user is always informed, and the passive and unordered emergency repair work is caused.
The above-mentioned drawbacks are worth solving.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a power distribution network power failure event detection research and judgment method, a power distribution network power failure event detection research and judgment device, computer equipment and a medium.
The technical scheme of the invention is as follows:
on one hand, the power distribution network power failure event detection and research and judgment method is characterized by comprising the following steps:
s100, monitoring a power failure event reported by a terminal in a power distribution network;
s200, reading three-phase electric parameters corresponding to the power failure event;
s300, when the three-phase electric parameters are all zero or cannot be read, judging that an initial power failure event occurs;
s400, timing the power failure time corresponding to the initial power failure event;
and S500, when the power failure time is larger than a preset power failure time threshold value, determining that the power failure event is real.
The present invention according to the above scheme is characterized in that step S100 specifically includes:
s110, scanning power failure alarm data reported by a power distribution network terminal;
s120, dividing the power failure alarm data into a plurality of data sets according to the generation time and a preset time interval, and filtering repeated power failure alarm data in each data set;
and S130, reading the filtered power failure alarm data.
The present invention according to the above scheme is characterized in that step S200 specifically includes:
(1) sequentially putting the power failure events into a queue to be processed according to a trigger time sequence;
(2) waiting for a preset first time, and reading three-phase voltage data corresponding to the power failure event in the queue to be processed;
(3) and waiting for a preset second time, and reading the three-phase current data corresponding to the power failure event.
The present invention according to the above aspect further includes, before determining whether the blackout time is greater than the preset blackout time threshold in step S500:
reading scheduling power failure event data from a power distribution network scheduling power failure battery;
and identifying the part belonging to the scheduled power failure event in the initial power failure event, and removing the part to obtain the part of the unscheduled power failure event in the initial power failure event.
The invention according to the above scheme is characterized in that step S500 specifically includes:
when the power failure time is larger than the preset power failure time threshold value, acquiring a topological graph of the power distribution network;
verifying the line-to-line relation corresponding to the initial power failure event according to the topological graph of the power distribution network;
and when the verification is passed, judging that the initial power failure event is a real power failure event.
Further, the step of obtaining the topological graph of the power distribution network comprises:
acquiring a distribution network equipment position distribution diagram, a distribution network circuit diagram and equipment operation condition parameters in a distribution network;
and recording the distribution network equipment position distribution diagram, the distribution network line diagram and the equipment operation condition parameters into a GIS system to obtain a GIS-based distribution network topological diagram.
The invention according to the above scheme is characterized in that after the true power failure event is obtained, a power restoration event is detected and verified in subsequent operations:
when a real power failure event corresponding to the power restoration event exists, judging the power restoration event to be a real power restoration event, and executing the power restoration event;
and when the real power failure event corresponding to the power restoration event does not exist, judging the power restoration event as a false alarm event, and discarding the data corresponding to the power restoration event.
On the other hand, a distribution network power failure incident is surveyed and is judged device, its characterized in that includes:
the monitoring module is used for monitoring power failure events reported by terminals in the power distribution network;
the electric parameter reading module is used for reading three-phase electric parameters corresponding to the power failure event;
the preliminary judgment module is used for preliminarily judging whether the power failure time is an initial power failure parameter or not through the three-phase electrical parameters, and judging as an initial power failure event when the three-phase electrical parameters are all zero or the three-phase electrical parameters cannot be read;
the timing module is used for timing the power failure time corresponding to the initial power failure event;
and the secondary judgment module is used for comparing the power failure time with a preset power failure time threshold value, and judging as a real power failure event when the power failure time is greater than the preset power failure time threshold value.
In a third aspect, a computer device includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the power failure event detection and study method for a power distribution network when executing the computer program.
In a fourth aspect, a computer-readable storage medium is stored with a computer program, where the computer program is executed by a processor to implement the steps of the power failure event detection and study method for a power distribution network.
The method has the advantages that the three-phase electrical parameter identification is carried out on the detected power failure events reported by the terminals in the power distribution network, when the three-phase electrical parameters are zero, a preliminary power failure event is judged, whether the initial power failure event is a false alarm or not is further verified according to the power failure time, and when the power failure time is larger than a preset power failure time threshold value, a real power failure event is judged. In the whole process, the power failure event reported by the terminal in the power distribution network terminal is verified based on the three-phase electric parameters and the power failure time, the power failure time in the power distribution network can be efficiently and accurately detected, and normal and safe operation of the power distribution network is ensured.
Drawings
Fig. 1 is an application environment diagram of the power distribution network power failure event detection research and judgment method of the present invention.
Fig. 2 is a schematic flow chart of a power distribution network power failure event detection and evaluation method.
Fig. 3 is a schematic flow chart of monitoring a power failure event reported by a power distribution network terminal.
Fig. 4 is a sequence diagram of real-time power failure evaluation in the power distribution network power failure event detection evaluation method.
Fig. 5 is a flowchart of an application example of the power distribution network outage event detection research and determination method.
Fig. 6 is a block diagram of a power distribution network power failure event detection and evaluation device.
Fig. 7 is an internal structural view of the computer device.
Detailed Description
The invention is further described with reference to the following figures and embodiments:
as shown in fig. 1 to 5, a power failure event detection and study method for a power distribution network can monitor the power outage and transmission state of a medium-voltage user on line in real time, quickly transmit power failure information in real time, provide accurate power failure time and power failure range for a distribution network fault, and quickly transmit fault information.
As shown in fig. 1, the method for detecting and evaluating the power failure event of the distribution network is applied to the environment, wherein the distribution network terminal 20 communicates with the management server 10 through the network. The management server 10 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In view of various factors such as communication or field terminal failure, the power failure event reported by the power distribution network terminal 20 may have false reporting and missed reporting conditions, and after receiving the time, the management server 10 needs to make a certain judgment to determine whether the power failure is true.
The power distribution network terminal 20 reports a power failure event to the management server 10, and the management server 10 monitors the power failure event reported by the terminal in the power distribution network; reading three-phase electrical parameters corresponding to the power failure event; when the three-phase electrical parameters are zero or cannot be read, the initial power failure event is preliminarily determined; timing the power failure time corresponding to the preliminary power failure event; and when the power failure time is greater than a preset power failure time threshold value, determining that the power failure event is real. After the actual power failure event is determined, the management server 10 may feed back the power failure event to the upper-level management and control system of the power distribution network, so as to implement data support of power distribution network scheduling and management.
As shown in fig. 2, 4 and 5, a method for detecting and determining a power failure event of a power distribution network is applied to a management server 10 in the above environment, and includes the following steps:
s100, power failure event reported by terminal in power distribution network is monitored
A plurality of distribution network terminals (such as intelligent electric meters) are arranged in the distribution network and are distributed. When a power failure event occurs at a power distribution network terminal, reporting the power failure event to a management server in the power distribution network. The management server can receive the power failure events reported by the power distribution network terminal, and the power failure events can be specifically represented by power failure alarm data.
In the actual distribution network environment, the power failure judgment process of the distribution network terminal is as follows:
(1) the power distribution network terminal judges the power failure of the terminal according to the power supply voltage of the power distribution network terminal, and if the power distribution network terminal has power failure or the power supply voltage is too low to normally operate, the power failure can be judged;
(2) if the power failure condition of the distribution area needs to be monitored, comprehensive research and judgment are carried out by combining the power failure information of the electric energy meters in the distribution area on the basis of the recorded information of the power failure/power on events of the distribution network terminals, and the judgment rule is described as follows:
judging whether the power failure event of the power distribution network terminal is abnormal or not according to the power failure duration of the power distribution network terminal, the power failure/power failure event record and other information, and if so, judging that the power failure event is abnormal; under the condition that the power failure records in the power distribution network terminal are normal, if the power failure records in the reference table are matched with the power failure/power-on event records of the power distribution network terminal, the power failure of the distribution area is judged; and thirdly, under the condition that the power failure records in the power distribution network terminal are normal, if the power failure records in the reference table cannot be matched with the power failure/power-on event records of the terminal, judging that the terminal has power failure.
In a specific embodiment, the step of monitoring the power outage event S100 reported by the terminal in the power distribution network includes:
and S110, scanning power failure alarm data reported by the power distribution network terminal.
And the management server receives power failure alarm data reported by the power distribution network terminal, wherein the power failure alarm data comprises data corresponding to a real power failure event, data corresponding to a hardware/false alarm power failure event and data corresponding to a repeatedly reported power failure event.
And S120, dividing the power failure alarm data into a plurality of data sets according to the generation time and a preset time interval, and filtering repeated power failure alarm data in each data set.
The repeated power failure alarm data refers to data with the same parameters such as terminal equipment identity identification, power failure duration, power failure influence lines/branches and the like involved in power failure in a single data set.
In a certain period of time, a certain distribution network terminal may frequently and repeatedly report a power failure event (repeatedly uploading a power failure alarm), and the data is meaningless data and needs to be filtered. Therefore, the power failure alarm data is divided into a plurality of data sets according to the generation time of the power failure alarm data and the preset time interval, and repeated power failure alarm data in the data sets are filtered. For example, every 15 minutes of power failure alarm data can be divided into a set, repeated power failure alarm data in the set are filtered, and when there are a plurality of power failure alarm data, only 1 power failure alarm data is reserved.
And S130, reading the filtered power failure alarm data.
The filtered power failure alarm data are used for representing effective power failure events, and the next step of data processing is carried out, so that the influence of repeated and invalid data on the subsequent processing efficiency is reduced, and the efficiency of the power failure event detection and research and judgment method for the power distribution network is further improved.
S200, reading three-phase electric parameters corresponding to power failure events
The three-phase electrical parameters include three-phase voltage data and three-phase current data. Recording the data in the power failure event reported by the power distribution network terminal; the management server can also read the three-phase electrical parameters of the terminal at the moment corresponding to the power failure event and the three-phase electrical parameters corresponding to the line (branch) where the terminal is located through the whole power distribution network operation log.
In one embodiment, reading the three-phase electrical parameters corresponding to the blackout event includes:
(1) sequentially putting the power failure events into a queue to be processed according to the triggering time sequence;
(2) waiting for a preset first time, and reading three-phase voltage data corresponding to the power failure events in the queue to be processed;
(3) and waiting for a preset second time, and reading the three-phase current data corresponding to the power failure event.
And a certain amount of delay queuing processing is carried out on the data needing to be processed, wherein the delay is to give the power distribution network terminal the allowed time of active withdrawal, confirmation and feedback on one hand, and give the whole management server the limited time for data processing on the other hand, so that the requirement on the hardware performance of the management server is reduced, and the cost is reduced.
The first time and the second time are preset, and the efficiency of the whole power distribution network power failure event detection studying and judging method needs to be considered, and generally the setting time is short. In the embodiment shown in fig. 5, the preset first event is set to one minute and the preset second event is set to one and a half minutes.
S300, when the three-phase electric parameters are all zero or cannot be read, judging as an initial power failure event
The initial judgment of the power failure event is carried out based on three-phase electric parameters, and the power failure event false alarm caused by terminal software is eliminated.
Specifically, the management server immediately starts the current value of the recall terminal after monitoring the power failure event reported by the power distribution network terminal, if the recalled three-phase voltage and the three-phase current are zero, the power failure is considered to be really caused, otherwise, the power failure is considered to be false alarm; and if the current value can not be read, the terminal is considered to be powered off and offline, and the power failure event is also considered to be really generated.
For the false alarm generated by the software problem, the current value can be completely filtered out as long as the current value is recalled.
S400, timing power failure time corresponding to initial power failure event
The power failure data is judged by the power distribution network terminal completely based on the alternating current sampling data, when the alternating current sampling data accords with power failure, the power failure time is reported, and timing is started from the time to obtain the corresponding power failure time.
S500, when the power failure time is larger than a preset power failure time threshold value, determining that the power failure event is a real power failure event
In an actual power distribution network, some power distribution network terminals generate false alarm events due to hardware problems, and the phenomenon is that reading current and voltage data are actually zero, and power failure does not occur on site. At this time, the filtering cannot be realized by purely depending on the three-phase electric parameters. Because the power failure events can be reported frequently and repeatedly by the power distribution network terminals, the power failure duration is very short, namely, the power failure time of a short time can be reported frequently by mistake in interruption. Based on the characteristic, the false alarm event is filtered according to a preset power failure time threshold, namely when the power failure time is greater than the preset power failure time threshold, the true power failure event is judged; and when the power failure time is less than the preset power failure time threshold, judging that the power failure time is in false alarm, and discarding the data corresponding to the initial power failure event.
Specifically, the preset power failure event threshold value can be obtained by analyzing and adjusting the historical operation of the power distribution network, and the preset power failure event threshold value is specifically assigned to frequently report the maximum time interval in the power failure event repeatedly in the power distribution network history. In the embodiment shown in fig. 5, the preset blackout event threshold is set to 10 minutes.
In a specific embodiment, step S500 specifically includes:
(1) and when the power failure time is greater than a preset power failure time threshold value, acquiring a topological graph of the power distribution network.
The power failure event is verified to be true and false again based on the topological graph of the power distribution network, and the accuracy of power failure event detection is further improved. Specifically, the step of obtaining the topological graph of the power distribution network comprises the following steps: acquiring a distribution network equipment position distribution diagram, a distribution network circuit diagram and equipment operation condition parameters in a distribution network; and recording the distribution network equipment position distribution diagram, the distribution network circuit diagram and the equipment operation condition parameters into a GIS (Geographic Information System) to obtain a distribution network topological diagram based on the GIS.
The GIS system can organically combine the map, the image and the attribute data for comprehensive management, and can retrieve and display the circuit diagram of the power equipment and the corresponding attribute data, the drawing, the image and the like on the map. The method realizes the close connection between the database technology and the graphic operation, solves the comprehensive management of the power grid account by utilizing a geographic information system, and provides a powerful tool for the visual management of the information of the power department. The power equipment distribution diagram with the actual geographic position as the background can not only increase the information of the equipment spatial position for users in equipment management, but also accurately reflect the real-time working condition of the power distribution network through the real-time information.
In the aspect of operation management, static data such as ledgers, technical data and drawings of a power grid and a plurality of actual data generated in power grid production technical management are recorded into a GIS system, so that the management of power grid production operation is more scientific, and the working efficiency is greatly improved; in the aspect of power utilization, the load data is related to the user or is closely related to the spatial position, and the load, business expansion, electric energy, electric charge and the user can be managed through a GIS system, so that the quality of power supply and utilization service is improved; in the aspect of planned power utilization, the GIS system can automatically provide the length and wire parameters of a line through stored basic station account data of the power distribution network, plays an important role in improving the calculation efficiency of line loss and reliability, and can provide real-time operation parameters of the power distribution network and better improve the calculation accuracy if the GIS system is connected with a power distribution SCADA (supervisory control and data acquisition system) system; in the operation of the power grid, a power grid topological graph, a tidal current graph and a load condition in power grid dispatching can be displayed in a geographic information system, so that the method can be applied to power grid dispatching, control and power grid operation management.
(2) And verifying the line-to-line relation corresponding to the initial power failure event according to the topological graph of the power distribution network.
(3) And when the verification is passed, judging that the initial power failure event is a real power failure event.
In practical applications, the blackout event may also be a scheduled blackout (planned blackout). Because the dispatching power failure is executed based on the dispatching of the whole power distribution network, the dispatching power failure is known by a power distribution network manager in advance, and does not need to be detected again, so that the data is filtered together for further improving the detection efficiency. In a specific embodiment, the determining whether the blackout time is greater than the preset blackout time threshold further includes a process of removing a portion belonging to a scheduled blackout event in the initial blackout event, and specifically includes:
(1) and reading the scheduled power failure event data from the power distribution network scheduled outage battery, wherein the scheduled power failure event data carries the power distribution network equipment identifier related to the scheduled power failure and the corresponding power failure time.
(2) And acquiring the identity and the power failure time of the power distribution network equipment related to the initial power failure event.
(3) And identifying the part belonging to the scheduled power failure event in the initial power failure event according to the scheduled power failure event data and the identity and the power failure time of the power grid equipment related to the initial power failure event.
And automatically comparing the power failure event information provided according to metering automation with the power failure event information of the dispatching distribution power failure data pool, determining that the data meeting certain conditions are the same power failure event, automatically comparing the information to generate formal power failure event information, and providing basic information of the power failure event by dispatching data. The power failure comparison information comprises: customer number, line, transformer number, asset number, blackout start-stop time, blackout duration, blackout nature, etc.
(4) And eliminating the part belonging to the scheduled power failure event in the initial power failure event, acquiring the part of the unscheduled power failure event in the initial power failure event, and obtaining the corresponding power failure time.
And when the power failure event is judged to be a real power failure event, if the power failure time corresponding to the part of the unscheduled power failure event is greater than a preset power failure time threshold value, judging the power failure event to be the real power failure event, otherwise, considering the initial power failure event to be false alarm, and discarding the event.
In a specific embodiment, after a real power failure event is obtained, a power restoration event is detected and verified in subsequent operations, and when the power restoration event reported by a power distribution network terminal is detected, the power distribution network terminal is directly judged to be power restoration of the terminal. In the process: when a real power failure event corresponding to the power restoration event exists, judging the power restoration event to be a real power restoration event, and executing the power restoration event; and when the real power failure event corresponding to the power restoration event does not exist, judging the power restoration event as a false alarm event, and discarding the data corresponding to the power restoration event.
Specifically, when a power restoration event is detected, recording the current time and identifying the power distribution network equipment identifier related to the power restoration event; inquiring whether a power distribution network equipment identifier related to a power restoration event exists in a corresponding power failure event before the current time; and if the power recovery event does not exist, discarding data corresponding to the power recovery event.
Fig. 5 is a schematic flow chart of an application example of power failure event detection and evaluation of the power distribution network according to the present invention, which includes two parts of power failure event detection and power restoration event verification.
It should be understood that although the various steps in the flowcharts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. At least some of the steps in fig. 2-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
According to the power failure event detection and study method for the power distribution network, three-phase electrical parameters are identified according to the detected power failure event reported by the terminal in the power distribution network, when the three-phase electrical parameters are zero, a preliminary power failure event is judged, whether the preliminary power failure event is a false alarm is further verified according to the power failure event, and when the power failure time is larger than a preset power failure time threshold value, a real power failure event is judged. In the whole process, the power failure event reported by the terminal in the power distribution network terminal is verified based on the three-phase electric parameters and the power failure time, the power failure time in the power distribution network can be efficiently and accurately detected, and normal and safe operation of the power distribution network is ensured.
As shown in fig. 6, an apparatus for detecting and studying power failure events of a power distribution network includes a monitoring module 11, an electrical parameter reading module 12, a preliminary determination module 13, a timing module 14, and a secondary determination module 15. The method comprises the steps of carrying out three-phase electrical parameter identification on a detected power failure event reported by a terminal in the power distribution network, judging as a preliminary power failure event when the three-phase electrical parameters are all zero, further verifying whether the preliminary power failure event is a false alarm or not according to the power failure event, and judging as a real power failure event when the power failure time is greater than a preset power failure time threshold.
(1) Interception module 11
The monitoring module 11 is configured to monitor a power failure event reported by a terminal in the power distribution network.
The monitoring module 11 is further configured to scan power failure alarm data reported by the power distribution network terminal; dividing the power failure alarm data into a plurality of data sets according to the generation time and a preset time interval, and filtering repeated power failure alarm data in each data set; and reading the filtered power failure alarm data. The interception module 11 can reduce the influence of repeated and invalid data on the subsequent processing efficiency, and further improve the efficiency of the power failure event detection and study method of the power distribution network.
(2) Electrical parameter reading module 12
The electrical parameter reading module 12 is configured to read three-phase electrical parameters corresponding to a power outage event.
The electrical parameter reading module 12 is further configured to sequentially place the power outage events into a queue to be processed according to a trigger time sequence; waiting for a preset first time, and reading three-phase voltage data corresponding to the power failure event in the queue to be processed; and waiting for a preset second time, and reading the three-phase current data corresponding to the power failure event.
(3) Preliminary decision module 13
The preliminary judgment module 13 is configured to preliminarily judge whether the power outage time is an initial power outage parameter according to the three-phase electrical parameters, and when the three-phase electrical parameters are all zero or the three-phase electrical parameters cannot be read, judge that an initial power outage event occurs.
(4) Timing module 14
The timing module 14 is used for timing the power failure time corresponding to the initial power failure event.
(5) Secondary decision module 15
The secondary determination module 15 is configured to compare the power outage time with a preset power outage time threshold, and determine that a power outage event is real when the power outage time is greater than the preset power outage time threshold.
Preferably, the secondary determination module 15 is further configured to obtain a distribution network topological graph when the power outage time is greater than a preset power outage time threshold; verifying a line-to-line relation corresponding to an initial power failure event according to a topological graph of the power distribution network; and when the verification is passed, determining that the power failure event is real.
Preferably, the secondary determination module 15 is further configured to obtain a distribution network device position distribution diagram, a distribution network line diagram, and device operation condition parameters in the distribution network; and recording the distribution network equipment position distribution diagram, the distribution network line diagram and equipment operation condition parameters in the distribution network into a GIS system to obtain a distribution network topological diagram based on the GIS.
In one embodiment, the power distribution network outage event detection and study device further comprises a dispatch outage verification module. The dispatching power failure verification module is used for reading dispatching power failure event data from a power distribution network dispatching power failure battery, and the dispatching power failure event data carries a power distribution network equipment identifier related to dispatching power failure and corresponding power failure time; acquiring the identity and the power failure time of power distribution network equipment related to an initial power failure event; identifying a part belonging to the scheduled power failure event in the initial power failure event according to the scheduled power failure event data and the identity identification and power failure time of the power grid equipment related to the initial power failure event; and eliminating the part belonging to the scheduled power failure event in the initial power failure event, and acquiring the power failure time corresponding to the part of the unscheduled power failure event in the initial power failure event.
At this time, the secondary determination module 15 is further configured to determine the duration of the blackout time corresponding to the unscheduled blackout event portion obtained by the scheduled blackout verification module, and determine that the unscheduled blackout event portion is a real blackout event when the blackout time corresponding to the unscheduled blackout event portion is greater than a preset blackout time threshold.
In one embodiment, the power distribution network outage event detection and evaluation device further includes a power restoration verification module (not shown). The power restoration verification module is used for recording the current time and identifying the power distribution network equipment identifier related to the power restoration event when the power restoration event is detected; inquiring whether a power distribution network equipment identifier related to a power restoration event exists in a corresponding power failure event before the current time; if the power restoration event exists, recording the power restoration event and the corresponding power failure event in a correlation manner, and executing the power restoration event; and if not, discarding the data corresponding to the power restoration event.
For specific limitations of the power distribution network outage event detection and study device, reference may be made to the above limitations of the power distribution network outage event detection and study method, which are not described herein again. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
As shown in fig. 7, a computer device (e.g., a server) includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein:
(1) the processor of the computer equipment is used for providing calculation and control capacity, and when the processor executes a computer program, the steps of the power failure event detection and study method for the power distribution network are realized.
(2) The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database; the internal memory provides an environment for the operating system and the computer program to run in the non-volatile storage medium.
(3) The database of the computer equipment is used for storing historical power failure event associated data, preset time threshold values and other data.
(4) The network interface of the computer device is used for communicating with an external terminal through a network connection.
The block diagram of the computer device shown in fig. 7 does not constitute a limitation on the computer device to which the present solution applies, but may also include more or fewer components than those shown in fig. 7, or combine some components, or have a different arrangement of components.
A computer readable storage medium, on which a computer program is stored, when the computer program is executed by a processor, the steps of the power failure event detection and study method for a power distribution network are implemented.
For specific limitations of the computer device and the computer program specific to the computer readable storage medium inside the computer device, reference may be made to the above limitations of the power distribution network outage event detection and determination method, which are not described herein again.
Any reference to memory, storage, databases, or other media used in embodiments of the invention may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory; volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The invention can realize the following functions by the application of the detection research and judgment method, the detection research and judgment device, the computer equipment and the computer readable storage medium:
1. after receiving the power failure event, the management server judges the effective rule of the event by calling and reading the terminal analog quantity data in real time, greatly improves the accuracy and the real-time performance of the power failure event, and provides real-time stop/recovery information support for quick power recovery, customer service, power failure pool construction and the like.
2. The management server is combined to detect the power failure event and study and judge rules in real time, and the distribution network topological structure is combined to realize line power failure monitoring; after a power failure event occurs, an effective technical means is provided for judging the influence range and the fault position.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
The invention is described above with reference to the accompanying drawings, which are illustrative, and it is obvious that the implementation of the invention is not limited in the above manner, and it is within the scope of the invention to adopt various modifications of the inventive method concept and technical solution, or to apply the inventive concept and technical solution to other fields without modification.
Claims (10)
1. A power distribution network power failure event detection research and judgment method is characterized by comprising the following steps:
s100, monitoring a power failure event reported by a terminal in a power distribution network;
s200, reading three-phase electric parameters corresponding to the power failure event;
s300, when the three-phase electric parameters are all zero or cannot be read, judging that an initial power failure event occurs;
s400, timing the power failure time corresponding to the initial power failure event;
and S500, when the power failure time is larger than a preset power failure time threshold value, determining that the power failure event is real.
2. The method as claimed in claim 1, wherein the step S100 comprises:
s110, scanning power failure alarm data reported by a power distribution network terminal;
s120, dividing the power failure alarm data into a plurality of data sets according to the generation time and a preset time interval, and filtering repeated power failure alarm data in each data set;
and S130, reading the filtered power failure alarm data.
3. The method as claimed in claim 1, wherein the step S200 comprises:
(1) sequentially putting the power failure events into a queue to be processed according to a trigger time sequence;
(2) waiting for a preset first time, and reading three-phase voltage data corresponding to the power failure event in the queue to be processed;
(3) and waiting for a preset second time, and reading the three-phase current data corresponding to the power failure event.
4. The method as claimed in claim 1, wherein the determining step S500 further includes:
reading scheduling power failure event data from a power distribution network scheduling power failure battery;
and identifying the part belonging to the scheduled power failure event in the initial power failure event, and removing the part to obtain the part of the unscheduled power failure event in the initial power failure event.
5. The method as claimed in claim 1, wherein the step S500 comprises:
when the power failure time is larger than the preset power failure time threshold value, acquiring a topological graph of the power distribution network;
verifying the line-to-line relation corresponding to the initial power failure event according to the topological graph of the power distribution network;
and when the verification is passed, judging that the initial power failure event is a real power failure event.
6. The method as claimed in claim 5, wherein the step of obtaining the topology map of the distribution network comprises:
acquiring a distribution network equipment position distribution diagram, a distribution network circuit diagram and equipment operation condition parameters in a distribution network;
and recording the distribution network equipment position distribution diagram, the distribution network line diagram and the equipment operation condition parameters into a GIS system to obtain a GIS-based distribution network topological diagram.
7. The method as claimed in claim 1, wherein after the actual blackout event is obtained, a power restoration event is detected and verified in a subsequent operation:
when a real power failure event corresponding to the power restoration event exists, judging the power restoration event to be a real power restoration event, and executing the power restoration event;
and when the real power failure event corresponding to the power restoration event does not exist, judging the power restoration event as a false alarm event, and discarding the data corresponding to the power restoration event.
8. A power distribution network power failure event detection studying and judging device is characterized by comprising:
the monitoring module is used for monitoring power failure events reported by terminals in the power distribution network;
the electric parameter reading module is used for reading three-phase electric parameters corresponding to the power failure event;
the preliminary judgment module is used for preliminarily judging whether the power failure time is an initial power failure parameter or not through the three-phase electrical parameters, and judging as an initial power failure event when the three-phase electrical parameters are all zero or the three-phase electrical parameters cannot be read;
the timing module is used for timing the power failure time corresponding to the initial power failure event;
and the secondary judgment module is used for comparing the power failure time with a preset power failure time threshold value, and judging as a real power failure event when the power failure time is greater than the preset power failure time threshold value.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for detecting and studying and determining power failure events of a power distribution network according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the method for detecting and studying power failure events of a power distribution network according to any one of claims 1 to 7.
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