CN115343587B - Distribution network hidden danger early warning method, device, equipment and storage medium - Google Patents

Distribution network hidden danger early warning method, device, equipment and storage medium Download PDF

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CN115343587B
CN115343587B CN202211273413.8A CN202211273413A CN115343587B CN 115343587 B CN115343587 B CN 115343587B CN 202211273413 A CN202211273413 A CN 202211273413A CN 115343587 B CN115343587 B CN 115343587B
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traveling wave
current
power frequency
wave current
time
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CN115343587A (en
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李哲
胡枫
郑文浪
刘业伟
朱立军
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Wuhan Three Phase Electrical Co.,Ltd.
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Wuhan Pinxun Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G01R31/1272Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements

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  • General Physics & Mathematics (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a method, a device, equipment and a storage medium for early warning of hidden troubles of a distribution network, wherein the method comprises the steps of receiving traveling wave current, power frequency current and power frequency voltage sent by a monitoring device, and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not; marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon; the marked traveling wave current waveforms are counted, the similarity between every two traveling wave current waveforms is determined, and according to the similarity, whether hidden dangers exist in the current line is judged, the insulation hidden dangers existing in the line can be effectively monitored, line patrol personnel are informed of the situation of the hidden dangers in time, the line hidden dangers are prevented from being developed into actual faults at last, the operation reliability of the line is improved, the occurrence rate of line faults is reduced, the high-frequency traveling wave currents of the line can be monitored in real time, accurate identification and early warning of the insulation hidden dangers of the line are achieved, and the speed and the efficiency of early warning of the hidden dangers of a distribution network are improved.

Description

Distribution network hidden danger early warning method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of distribution line monitoring, in particular to a distribution network hidden danger early warning method, device, equipment and storage medium.
Background
The distribution line is influenced by factors such as natural environment, operation age and the like, besides faults with obvious fault characteristics such as short circuit and grounding often occur, insulation hidden dangers such as abnormal discharge of a transformer and fine breakage of an insulating porcelain insulator also exist on the line; if the hidden danger is not eliminated in time, the hidden danger can be developed into actual fault to cause tripping and power failure of a line switch, and loss is brought to the lives of people; the occurrence of partial faults of the distribution line is a progressive process, and the faults are gradually developed into abnormal states with certain threat degree on the distribution line from initial tiny abnormal states and further developed into the faults of the distribution line; the existing distribution line fault monitoring technology and method mainly aim at actual short-circuit faults and ground faults and cannot effectively monitor line hidden dangers.
Disclosure of Invention
The invention mainly aims to provide a distribution network hidden danger early warning method, a distribution network hidden danger early warning device, distribution network hidden danger early warning equipment and a storage medium, and aims to solve the technical problem that in the prior art, the hidden danger of a line cannot be effectively monitored only by monitoring actual short-circuit faults and ground faults.
In a first aspect, the invention provides a distribution network hidden danger early warning method, which comprises the following steps:
receiving traveling wave current, power frequency current and power frequency voltage sent by a monitoring device, and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not;
when the power frequency current and/or the power frequency voltage have/has no mutation phenomenon, marking the current traveling wave current;
and counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether the current line has hidden danger according to the similarity.
Optionally, the receiving traveling wave current, power frequency current, and power frequency voltage sent by the monitoring device, and determining whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon includes:
selecting a plurality of point positions according to a power distribution network line topological structure, and installing monitoring devices for early warning of hidden dangers of a distribution network;
receiving traveling wave current, power frequency current and power frequency voltage of the current line collected by the monitoring device;
and judging whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon.
Optionally, the determining whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon includes:
when the variation of the traveling wave current is larger than a preset variation threshold, uploading the traveling wave current, the power frequency current and the power frequency voltage in a preset trigger time period to a background;
and judging whether the power frequency current and/or the power frequency voltage have sudden change phenomena or not by the background, wherein the sudden change phenomena comprise sudden increase and sudden decrease.
Optionally, the marking the current traveling wave current when there is no sudden change in the power frequency current and/or the power frequency voltage includes:
and marking the current traveling wave current when the power frequency current and/or the power frequency voltage has no sudden change phenomenon of sudden increase or sudden decrease.
Optionally, the counting the marked traveling wave current waveforms, determining similarity between every two traveling wave current waveforms, and determining whether a hidden danger exists in the current line according to the similarity, includes:
counting the traveling wave current waveforms of the marked traveling wave current within preset counting time, and determining the similarity between every two traveling wave current waveforms;
when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line;
and when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line.
Optionally, the counting traveling wave current waveforms of the marked traveling wave current within a preset counting time, and determining similarity between every two traveling wave current waveforms includes:
counting the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time within each period of preset counting time;
fitting a current curve in each time period according to the traveling wave current amplitude to obtain a starting time slope, a middle time slope and an ending time slope;
and determining a corresponding slope matrix according to the initial time slope, the middle time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
Optionally, the determining, according to the start time slope, the middle time slope, and the end time slope, a corresponding slope matrix, and determining, according to the slope matrix, a similarity between two traveling wave current waveforms includes:
generating a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope and a preset matrix format;
and judging the similarity of the slope matrixes between every two traveling wave current waveforms in the same time period by utilizing the KL divergence.
In a second aspect, to achieve the above object, the present invention further provides a device for early warning hidden dangers of a distribution network, where the device for early warning hidden dangers of a distribution network includes:
the receiving module is used for receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not;
the marking module is used for marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon;
and the judging module is used for counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms and judging whether the current line has hidden danger according to the similarity.
In order to achieve the above object, the present invention further provides a device for early warning of hidden dangers of a distribution network, where the device for early warning of hidden dangers of a distribution network includes: the early warning method comprises a memory, a processor and a distribution network hidden danger early warning program which is stored in the memory and can run on the processor, wherein the distribution network hidden danger early warning program is configured to realize the steps of the early warning method.
In a fourth aspect, in order to achieve the above object, the present invention further provides a storage medium, where the storage medium stores a distribution network hidden danger early warning program, and the distribution network hidden danger early warning program, when executed by a processor, implements the above steps of the distribution network hidden danger early warning method.
According to the early warning method for the hidden danger of the distribution network, whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon or not is judged by receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device; marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon; the marked traveling wave current waveforms are counted, the similarity between every two traveling wave current waveforms is determined, and according to the similarity, whether hidden dangers exist in the current line is judged, the insulation hidden dangers existing in the line can be effectively monitored, line patrol personnel are informed of the situation of the hidden dangers in time, the line hidden dangers are prevented from being developed into actual faults at last, the operation reliability of the line is improved, the occurrence rate of line faults is reduced, the high-frequency traveling wave currents of the line can be monitored in real time, accurate identification and early warning of the insulation hidden dangers of the line are achieved, and the speed and the efficiency of early warning of the hidden dangers of a distribution network are improved.
Drawings
Fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of a distribution network hidden danger early warning method according to the present invention;
fig. 3 is a schematic flowchart of a second embodiment of a distribution network hidden danger early warning method according to the present invention;
fig. 4 is a schematic flowchart of a distribution network hidden danger early warning method according to a third embodiment of the present invention;
fig. 5 is a schematic flow chart of a fourth embodiment of the early warning method for the hidden danger of the distribution network according to the present invention;
fig. 6 is a schematic flow chart of a fifth embodiment of the early warning method for hidden troubles of a distribution network according to the present invention;
FIG. 7 is a flow chart of a distribution network hidden danger early warning method based on a traveling wave current curve form in the distribution network hidden danger early warning method of the present invention;
fig. 8 is a schematic flow chart of a sixth embodiment of the early warning method for the hidden danger of the distribution network according to the present invention;
FIG. 9 is a flow chart of the traveling wave current curve morphological similarity determination in the distribution network hidden danger early warning method of the present invention;
fig. 10 is a functional block diagram of a first embodiment of the early warning device for hidden troubles of distribution networks according to the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The solution of the embodiment of the invention is mainly as follows: judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not by receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device; when the power frequency current and/or the power frequency voltage have/has no mutation phenomenon, marking the current traveling wave current; the marked traveling wave current waveforms are counted, the similarity between every two traveling wave current waveforms is determined, and according to the similarity, whether hidden dangers exist in the current line is judged, the insulation hidden dangers existing in the line can be effectively monitored, line patrol personnel are informed of the situation of the hidden dangers in time, the line hidden dangers are prevented from being developed into actual faults at last, the operational reliability of the line is improved, the occurrence rate of line faults is reduced, the high-frequency traveling wave current of the line can be monitored in real time, accurate identification and early warning of the insulation hidden dangers of the line are achieved, the speed and the efficiency of early warning of the hidden dangers of a distribution network are improved, and the technical problem that the hidden dangers of the line can not be effectively monitored only aiming at the actual short-circuit faults and ground faults in the prior art is solved.
Referring to fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., a Wi-Fi interface). The Memory 1005 may be a high-speed RAM Memory or a Non-Volatile Memory (Non-Volatile Memory), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005 as a storage medium may include an operating device, a network communication module, a user interface module, and a distribution network risk warning program.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and executes the following operations:
receiving traveling wave current, power frequency current and power frequency voltage sent by a monitoring device, and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not;
marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon;
and counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether the current line has hidden danger according to the similarity.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and also executes the following operations:
selecting a plurality of point positions according to a power distribution network line topological structure, and installing monitoring devices for early warning of hidden dangers of a distribution network;
receiving traveling wave current, power frequency current and power frequency voltage of the current line collected by the monitoring device;
and judging whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and also executes the following operations:
when the variation of the traveling wave current is larger than a preset variation threshold, uploading the traveling wave current, the power frequency current and the power frequency voltage in a preset trigger time period to a background;
and judging whether the power frequency current and/or the power frequency voltage have sudden change phenomena or not by the background, wherein the sudden change phenomena comprise sudden increase and sudden decrease.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and also executes the following operations:
and marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no sudden change phenomenon of sudden increase or sudden decrease.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and also executes the following operations:
counting the traveling wave current waveforms of the marked traveling wave current within preset counting time, and determining the similarity between every two traveling wave current waveforms;
when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line;
and when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and also executes the following operations:
counting the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time within each period of time within preset counting time;
fitting a current curve in each time period according to the traveling wave current amplitude to obtain a starting time slope, a middle time slope and an ending time slope;
and determining a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
The device calls a distribution network hidden danger early warning program stored in a memory 1005 through a processor 1001, and also executes the following operations:
generating a corresponding slope matrix according to the initial time slope, the intermediate time slope and the ending time slope and according to a preset matrix format;
and judging the similarity of the slope matrixes between every two traveling wave current waveforms in the same time period by utilizing the KL divergence.
According to the scheme, whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon is judged by receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device; marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon; the marked traveling wave current waveforms are counted, the similarity between every two traveling wave current waveforms is determined, and according to the similarity, whether hidden dangers exist in the current line or not is judged, the insulation hidden dangers existing in the line can be effectively monitored, line patrol personnel are timely informed of the condition of the hidden dangers of the line, the hidden dangers of the line are prevented from being developed into actual faults at last, the operation reliability of the line is improved, the occurrence rate of line faults is reduced, the high-frequency traveling wave current of the line can be monitored in real time, accurate identification and early warning of the insulation hidden dangers of the line are achieved, and the speed and the efficiency of early warning of the hidden dangers of a distribution network are improved.
Based on the hardware structure, the embodiment of the distribution network hidden danger early warning method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a distribution network hidden danger early warning method according to the present invention.
In a first embodiment, the early warning method for the hidden danger of the distribution network comprises the following steps:
and S10, receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device, and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon.
It should be noted that the monitoring device may monitor the current line to obtain the traveling wave current, the power frequency current, and the power frequency voltage of the current line, and after receiving the traveling wave current, the power frequency current, and the power frequency voltage sent by the monitoring device, may determine whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon.
And S20, marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon.
It can be understood that the current traveling wave current may be marked when there is no abrupt change in the power frequency current and/or the power frequency voltage.
And S30, counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether hidden dangers exist in the current line according to the similarity.
It should be understood that after the marking, the marked traveling wave current waveforms may be counted, and then the similarity between each two traveling wave current waveforms is compared, so as to determine whether the current line has a hidden danger according to the similarity.
According to the scheme, whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon is judged by receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device; marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon; the marked traveling wave current waveforms are counted, the similarity between every two traveling wave current waveforms is determined, and according to the similarity, whether hidden dangers exist in the current line is judged, the insulation hidden dangers existing in the line can be effectively monitored, line patrol personnel are informed of the situation of the hidden dangers in time, the line hidden dangers are prevented from being developed into actual faults at last, the operation reliability of the line is improved, the occurrence rate of line faults is reduced, the high-frequency traveling wave currents of the line can be monitored in real time, accurate identification and early warning of the insulation hidden dangers of the line are achieved, and the speed and the efficiency of early warning of the hidden dangers of a distribution network are improved.
Further, fig. 3 is a schematic flowchart of a second embodiment of the early warning method for hidden dangers of distribution networks according to the present invention, and as shown in fig. 3, the second embodiment of the early warning method for hidden dangers of distribution networks according to the present invention is provided based on the first embodiment, and in this embodiment, the step S10 includes the following steps:
s11, selecting a plurality of point locations according to a power distribution network line topological structure, and installing monitoring devices for early warning of hidden troubles of a power distribution network.
It should be noted that, a plurality of point locations can be selected to install the monitoring device through the preset topology structure of the power distribution network line, that is, the distribution network hidden danger early warning device is installed.
And S12, receiving the traveling wave current, the power frequency current and the power frequency voltage of the current line collected by the monitoring device.
It can be understood that the line power frequency current, power frequency voltage and high-frequency traveling wave current of the current line can be collected through the monitoring device, and then the traveling wave current, the power frequency current and the power frequency voltage of the current line can be collected through the monitoring device.
And S13, judging whether the power frequency current and/or the power frequency voltage have mutation phenomena or not.
It should be understood that after the traveling wave current, the power frequency current and the power frequency voltage of the current line are obtained, whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not can be quickly judged.
According to the scheme, a plurality of point positions are selected according to the topological structure of the power distribution network line, and the monitoring device for early warning of the hidden danger of the power distribution network is installed; receiving traveling wave current, power frequency current and power frequency voltage of the current line collected by the monitoring device; and judging whether the power frequency current and/or the power frequency voltage have mutation phenomena or not, effectively monitoring the potential insulation hazard of the circuit, timely informing inspection personnel of the potential line hazard condition, and preventing the potential line hazard from developing into an actual fault.
Further, fig. 4 is a schematic flowchart of a third embodiment of the early warning method for hidden dangers of distribution networks according to the present invention, and as shown in fig. 4, the third embodiment of the early warning method for hidden dangers of distribution networks according to the present invention is provided based on the second embodiment, in this embodiment, the step S13 specifically includes the following steps:
and S131, uploading the traveling wave current, the power frequency current and the power frequency voltage in a preset trigger time period to a background when the variation of the traveling wave current is larger than a preset variation threshold.
It should be noted that the variation of the traveling wave current is compared with the preset variation threshold polarity, and whether the traveling wave current, the power frequency current and the power frequency voltage are uploaded to the background can be determined according to the comparison result, and when the variation of the traveling wave current is greater than the preset variation threshold, the traveling wave current, the power frequency current and the power frequency voltage in the preset trigger time period can be uploaded to the background.
In specific implementation, when monitoring that the line travelling wave current variation is larger than a set threshold, the monitoring device transmits travelling wave current, power frequency current and power frequency voltage within 500us after the triggering time to the background.
And S132, judging whether sudden change phenomena exist in the power frequency current and/or the power frequency voltage or not by the background, wherein the sudden change phenomena comprise sudden increase and sudden decrease.
It can be understood that after the traveling wave current, the power frequency current and the power frequency voltage are uploaded to the background server, whether the amplitude of the uploaded power frequency current and power frequency voltage has a sudden increase or sudden decrease phenomenon can be judged through the background server.
According to the scheme, when the variation of the traveling wave current is larger than a preset variation threshold, the traveling wave current, the power frequency current and the power frequency voltage in a preset trigger time period are uploaded to a background; the backstage is judged whether the power frequency current and/or the power frequency voltage has the sudden change phenomenon, the sudden change phenomenon includes sudden increase and sudden drop, can effectively monitor the insulating hidden danger that the circuit exists, in time inform patrolling line personnel circuit hidden danger condition, prevent that circuit hidden danger from developing into actual trouble at last, has promoted speed and the efficiency of joining in marriage net hidden danger early warning.
Further, fig. 5 is a schematic flowchart of a fourth embodiment of the early warning method for hidden dangers of distribution networks according to the present invention, and as shown in fig. 5, the fourth embodiment of the early warning method for hidden dangers of distribution networks according to the present invention is provided based on the first embodiment, and in this embodiment, the step S20 specifically includes the following steps:
and S21, when the power frequency current and/or the power frequency voltage have no sudden change phenomenon of sudden increase or sudden decrease, marking the current traveling wave current.
It should be noted that the background determines whether there is a sudden increase or a sudden decrease in the uploaded power frequency current and power frequency voltage amplitude, and if not, the background marks the uploaded traveling wave current, which may be generally denoted as P L (L =1, 2.. Multidot.n), otherwise, it is considered that the line is in fault or the line switch action causes the load increase or the power failure, and the subsequent step judgment is ended, and the waveform is deleted.
Through the above scheme, this embodiment is through power frequency current and/or when there is not sudden change phenomenon of sudden increase or sudden drop in power frequency voltage, mark current travelling wave current, can effectively monitor the insulating hidden danger that the circuit exists, in time inform the inspection personnel circuit hidden danger condition, prevent that circuit hidden danger from developing to actual trouble at last, improved circuit operational reliability, improved the accuracy of joining in marriage net hidden danger early warning.
Further, fig. 6 is a schematic flowchart of a fifth embodiment of the early warning method for hidden dangers of a distribution network according to the present invention, and as shown in fig. 6, the fifth embodiment of the early warning method for hidden dangers of a distribution network according to the present invention is provided based on the first embodiment, and in this embodiment, the step S30 specifically includes the following steps:
and S31, counting the traveling wave current waveforms of the marked traveling wave currents within preset counting time, and determining the similarity between every two traveling wave current waveforms.
It should be noted that, by counting the traveling wave current waveforms of the marked traveling wave current within the preset counting time, the similarity between every two traveling wave current waveforms can be determined according to the counting result.
In a specific implementation, as shown in fig. 7, fig. 7 is a flow chart of the distribution network hidden danger early warning method based on a traveling wave current curve form in the distribution network hidden danger early warning method of the present invention, and referring to fig. 7, if the monitoring device monitors that the line traveling wave current variation is greater than a set threshold, the monitoring device uploads the traveling wave current, the power frequency current, and the power frequency voltage at the trigger time and within 500us after the trigger time to the background, and the background judges whether there is a sudden increase or a sudden decrease in the amplitudes of the uploaded power frequency current and power frequency voltage. If not, marking the traveling wave current uploaded at the time as P L (L =1, 2.. Multidot.n), otherwise, considering that the line has a fault or the line switch action causes the load increase or power failure, and ending the judgment of the subsequent steps and deleting the waveform; counting the waveform of the traveling wave current marked in 1 minute in the waveform uploaded by the device, and representing the waveform by an array P, wherein P = [ ] 1 ,P 2 ,...,P L ]Comparing the similarity between every two of all the marked traveling wave current waveforms, and if a plurality of groups of traveling wave current waveforms are similar within 1 minute, determining that the line existsHidden danger; the numerical value of the specific preset statistical time can be set according to the requirement, and the smaller the numerical value is, the higher the system sensitivity is.
And S32, judging that hidden danger exists in the current line when the similarity is larger than a preset similarity threshold.
It should be understood that when the similarity is greater than a preset similarity threshold, it may be determined that a hidden danger exists in the current line.
And S33, when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line.
It can be understood that when the similarity is not greater than the preset similarity threshold, it may be determined that no hidden danger exists in the current line.
According to the scheme, the similarity between every two traveling wave current waveforms is determined by counting the traveling wave current waveforms of the marked traveling wave currents within the preset counting time; when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line; the similarity is not greater than when presetting the similarity threshold value, judge there is not hidden danger in the current circuit, can effectively monitor the insulating hidden danger that the circuit exists, in time inform patrolman circuit hidden danger condition, prevent that circuit hidden danger from developing into actual fault at last, improved circuit operational reliability, improved the accuracy of joining in marriage net hidden danger early warning.
Further, fig. 8 is a schematic flowchart of a sixth embodiment of the early warning method for hidden dangers of distribution networks according to the present invention, and as shown in fig. 8, the sixth embodiment of the early warning method for hidden dangers of distribution networks according to the present invention is provided based on the fifth embodiment, and in this embodiment, the step S31 specifically includes the following steps:
and S311, counting the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time in each period of time within preset counting time.
It should be noted that the current amplitudes of the traveling wave current corresponding to the start time, the middle time and the end time in each period of time are counted.
In a specific implementation, as shown in FIG. 9, FIG. 9 is the sameThe traveling wave current curve form similarity judgment flow chart in the distribution network hidden danger early warning method is shown in fig. 9, and any two traveling wave current waveforms are taken from the marked traveling wave current waveforms within 1 minute of statistics and recorded as
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Belongs to P; current of travelling wave
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And
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respectively and equally dividing the time into n time periods according to the time scale, wherein the n value can be set according to the requirement, the larger the n value is, the higher the accuracy of the judgment result is, but the larger the calculation amount of the corresponding system is; respectively extracting traveling wave currents
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And
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the starting time, the middle time and the ending time in each period of time and the corresponding traveling wave current amplitudes are used in several groups
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And
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representing;
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wherein,
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respectively travelling wave current
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The initial time, the middle time and the end time in the nth period of time,
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respectively travelling wave current
Figure 578994DEST_PATH_IMAGE001
The traveling wave current amplitudes corresponding to the initial time, the middle time and the end time in the nth period of time,
Figure 135877DEST_PATH_IMAGE008
respectively travelling wave current
Figure 871752DEST_PATH_IMAGE002
The initial time, the middle time and the end time in the nth period of time,
Figure 273915DEST_PATH_IMAGE009
respectively travelling wave current
Figure 910170DEST_PATH_IMAGE002
And the traveling wave current amplitudes corresponding to the initial time, the middle time and the end time in the nth period of time.
And step S312, fitting a current curve in each time period according to the traveling wave current amplitude value to obtain a starting time slope, a middle time slope and an ending time slope.
It should be understood that the starting time slope, the intermediate time slope, and the ending time slope may be obtained by fitting the current curves in each time segment with the traveling wave current amplitude.
In specific implementation, a quadratic polynomial is adopted to carry out the wave current
Figure 903534DEST_PATH_IMAGE001
And
Figure 861126DEST_PATH_IMAGE002
fitting the current curves of all the time periods, and respectively calculating the slopes k corresponding to the starting time, the middle time and the ending time. The specific process is as follows:
let a quadratic polynomial
y=ax 2 +bx+c (1)
To be obtained
Figure 332558DEST_PATH_IMAGE003
In the formula (1), n different curve equations are obtained and recorded as
Figure 590364DEST_PATH_IMAGE010
. To be obtained
Figure 223471DEST_PATH_IMAGE004
In the formula (1), n different curve equations can be obtained and recorded as
Figure 933938DEST_PATH_IMAGE011
The derivation is carried out on each curve function to obtain
Figure 209062DEST_PATH_IMAGE012
Will be provided with
Figure 55795DEST_PATH_IMAGE003
By introducing corresponding derivation equations
Figure 125382DEST_PATH_IMAGE013
In the method, the slopes corresponding to the start time, the intermediate time and the end time within each time period are obtained. This can be represented by a 3 x n matrix M, where the n-th row represents the travelling wave current
Figure 556101DEST_PATH_IMAGE001
The slope corresponding to the starting time, the middle time and the ending time in the nth period of time; in the same way, will
Figure 369336DEST_PATH_IMAGE004
By introducing corresponding derivation equations
Figure 601735DEST_PATH_IMAGE014
Calculating the corresponding slopes of the starting time, the middle time and the ending time in each time period; this can be represented by a 3 x N matrix N, where the N-th row represents the travelling wave current
Figure 576644DEST_PATH_IMAGE002
And the slope corresponding to the starting time, the middle time and the ending time in the nth period of time.
Step S313, determining a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
It can be understood that a corresponding slope matrix can be constructed by the starting time slope, the intermediate time slope and the ending time slope, and the similarity between every two traveling wave current waveforms is determined by the slope matrix.
In a specific implementation, the traveling wave current waveform is judged according to equation (2)
Figure 261703DEST_PATH_IMAGE001
Sum traveling wave current waveform
Figure 613050DEST_PATH_IMAGE002
Whether the slopes corresponding to the starting time, the middle time and the ending time in the same period are opposite or not is judged, if the slopes in the existing period do not satisfy the formula (2), the waveforms of the two traveling waves in the period are considered to be dissimilar, and meanwhile, the KL divergence judgment operation is not carried out in the period.
Figure 434375DEST_PATH_IMAGE015
(2)
Judging the waveform of the traveling wave current according to the formula (3)
Figure 845765DEST_PATH_IMAGE001
Slope matrix M and traveling wave current waveforms
Figure 752541DEST_PATH_IMAGE002
Whether the product of the same positions of the slope matrix N is equal to 0; if the slope is equal to the slope, the subsequent steps are not carried out in the time period.
Figure 406114DEST_PATH_IMAGE016
(3)
Further, the step S313 specifically includes the following steps:
generating a corresponding slope matrix according to the initial time slope, the intermediate time slope and the ending time slope and according to a preset matrix format;
and judging the similarity of the slope matrixes between every two traveling wave current waveforms in the same time period by utilizing the KL divergence.
In specific implementation, the KL divergence is used for judging the waveform similarity of the slope matrix M and the slope matrix N in the same time period.
Figure 347526DEST_PATH_IMAGE017
(4)
In the formula, D i As a travelling wave current
Figure 929817DEST_PATH_IMAGE001
And a traveling wave current
Figure 323889DEST_PATH_IMAGE002
The divergence of KL in the same time segment is used to describe the waveform similarity of the time segment.
According to the formula (4), D i The closer to zero, the higher the similarity of the two traveling wave waveforms in the i time period is, and the two traveling wave waveforms can be applied in practical applicationAnd setting a defined threshold, wherein the waveforms in the time period are considered similar within the threshold range, and otherwise are not similar.
Figure 17038DEST_PATH_IMAGE018
(5)
According to the statistical proportion of two dissimilar sections of traveling wave waveforms to the total effective sections, if the number of the dissimilar sections is larger than a set threshold value, the traveling wave current is considered to be the traveling wave current
Figure 78535DEST_PATH_IMAGE001
And a traveling wave current
Figure 831728DEST_PATH_IMAGE002
The wave forms are similar, otherwise, the traveling wave current is
Figure 447517DEST_PATH_IMAGE001
And a traveling wave current
Figure 944357DEST_PATH_IMAGE002
The waveforms are not similar, and in this case, the traveling wave waveform may be a traveling wave that is in series outside the distribution line.
Figure 93316DEST_PATH_IMAGE019
(6)
Wherein u is the number of time periods with dissimilar waveforms, v is the number of time periods with KL divergence satisfying the threshold, and w is the traveling wave current
Figure 282989DEST_PATH_IMAGE001
And a traveling wave current
Figure 651654DEST_PATH_IMAGE002
The proportion of the dissimilar sections to the total effective sections can be set according to requirements, the value of w is 0-1, and the greater the value, the higher the overall similarity of the two-line waveform.
According to the scheme, the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time in each period of time within the preset statistical time are counted; fitting a current curve in each time period according to the traveling wave current amplitude to obtain a starting time slope, a middle time slope and an ending time slope; according to the method, the corresponding slope matrix is determined according to the initial time slope, the middle time slope and the end time slope, the similarity between every two traveling wave current waveforms is determined according to the slope matrix, the insulation hidden danger existing in the line can be effectively monitored, line patrol personnel are timely informed of the situation of the line hidden danger, the line hidden danger is prevented from being finally developed into an actual fault, the operation reliability of the line is improved, and the accuracy of early warning of the hidden danger of the distribution network is improved.
Correspondingly, the invention further provides a distribution network hidden danger early warning device.
Referring to fig. 10, fig. 10 is a functional block diagram of a first embodiment of a distribution network hidden danger warning device according to the present invention.
In a first embodiment of the early warning device for hidden dangers of the distribution network, the early warning device for hidden dangers of the distribution network comprises:
and the receiving module 10 is used for receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon.
And the marking module 20 is configured to mark the current traveling wave current when the power frequency current and/or the power frequency voltage has no sudden change.
And the judging module 30 is used for counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether the current line has hidden danger according to the similarity.
The receiving module 10 is further configured to select a plurality of point locations according to the topology structure of the power distribution network line, and install a monitoring device for early warning of hidden troubles of the power distribution network; receiving traveling wave current, power frequency current and power frequency voltage of the current line collected by the monitoring device; and judging whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon.
The receiving module 10 is further configured to upload the traveling wave current, the power frequency current, and the power frequency voltage in a preset trigger time period to a background when the variation of the traveling wave current is greater than a preset variation threshold; and judging whether the power frequency current and/or the power frequency voltage have sudden change phenomena or not by the background, wherein the sudden change phenomena comprise sudden increase and sudden decrease.
The marking module 20 is further configured to mark the current traveling wave current when there is no sudden change of sudden increase or sudden decrease in the power frequency current and/or the power frequency voltage.
The judging module 30 is further configured to count traveling wave current waveforms of the marked traveling wave current within a preset counting time, and determine similarity between every two traveling wave current waveforms; when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line; and when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line.
The judging module 30 is further configured to count traveling wave current amplitudes at a starting time, an intermediate time, and an ending time of the marked traveling wave current in each period of time within a preset counting time; fitting a current curve in each time period according to the traveling wave current amplitude value to obtain a starting time slope, a middle time slope and an ending time slope; and determining a corresponding slope matrix according to the initial time slope, the middle time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
The determining module 30 is further configured to generate a corresponding slope matrix according to the starting time slope, the intermediate time slope, and the ending time slope and according to a preset matrix format; and judging the similarity of the slope matrixes between every two traveling wave current waveforms in the same time period by utilizing the KL divergence.
The steps implemented by each functional module of the early warning device for the hidden danger of the distribution network can refer to each embodiment of the early warning method for the hidden danger of the distribution network, and are not described herein again.
In addition, an embodiment of the present invention further provides a storage medium, where a distribution network hidden danger warning program is stored on the storage medium, and when executed by a processor, the distribution network hidden danger warning program implements the following operations:
receiving traveling wave current, power frequency current and power frequency voltage sent by a monitoring device, and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not;
when the power frequency current and/or the power frequency voltage have/has no mutation phenomenon, marking the current traveling wave current;
and counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether the current line has hidden danger according to the similarity.
Further, when being executed by the processor, the distribution network hidden danger early warning program further realizes the following operations:
selecting a plurality of point positions according to a power distribution network line topological structure, and installing monitoring devices for early warning of hidden troubles of a distribution network;
receiving traveling wave current, power frequency current and power frequency voltage of the current line collected by the monitoring device;
and judging whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon.
Further, when being executed by the processor, the distribution network hidden danger early warning program further realizes the following operations:
when the variation of the traveling wave current is larger than a preset variation threshold, uploading the traveling wave current, the power frequency current and the power frequency voltage in a preset trigger time period to a background;
and judging whether the power frequency current and/or the power frequency voltage have sudden change phenomena or not by the background, wherein the sudden change phenomena comprise sudden increase and sudden decrease.
Further, when being executed by the processor, the distribution network hidden danger early warning program further realizes the following operations:
and marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no sudden change phenomenon of sudden increase or sudden decrease.
Further, when being executed by the processor, the distribution network hidden danger early warning program further realizes the following operations:
counting the traveling wave current waveforms of the marked traveling wave current within preset counting time, and determining the similarity between every two traveling wave current waveforms;
when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line;
and when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line.
Further, when being executed by the processor, the distribution network hidden danger early warning program further realizes the following operations:
counting the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time within each period of preset counting time;
fitting a current curve in each time period according to the traveling wave current amplitude to obtain a starting time slope, a middle time slope and an ending time slope;
and determining a corresponding slope matrix according to the initial time slope, the middle time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
Further, when being executed by the processor, the distribution network hidden danger early warning program further realizes the following operations:
generating a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope and a preset matrix format;
and judging the similarity of the slope matrixes between every two traveling wave current waveforms in the same time period by utilizing the KL divergence.
According to the scheme, whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon is judged by receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device; marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon; the marked traveling wave current waveforms are counted, the similarity between every two traveling wave current waveforms is determined, and according to the similarity, whether hidden dangers exist in the current line is judged, the insulation hidden dangers existing in the line can be effectively monitored, line patrol personnel are informed of the situation of the hidden dangers in time, the line hidden dangers are prevented from being developed into actual faults at last, the operation reliability of the line is improved, the occurrence rate of line faults is reduced, the high-frequency traveling wave currents of the line can be monitored in real time, accurate identification and early warning of the insulation hidden dangers of the line are achieved, and the speed and the efficiency of early warning of the hidden dangers of a distribution network are improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, method, article, or apparatus comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (8)

1. A distribution network hidden danger early warning method is characterized by comprising the following steps:
receiving traveling wave current, power frequency current and power frequency voltage sent by a monitoring device, and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not;
marking the current traveling wave current when the power frequency current and/or the power frequency voltage have no mutation phenomenon;
counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether hidden danger exists in the current line according to the similarity;
the method comprises the following steps of counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms, and judging whether hidden dangers exist in the current line according to the similarity, wherein the method comprises the following steps:
counting the traveling wave current waveforms of the marked traveling wave current within preset counting time, and determining the similarity between every two traveling wave current waveforms;
when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line;
when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line;
the method for counting the traveling wave current waveforms of the marked traveling wave current within the preset counting time and determining the similarity between every two traveling wave current waveforms comprises the following steps:
counting the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time within each period of preset counting time;
fitting a current curve in each time period according to the traveling wave current amplitude to obtain a starting time slope, a middle time slope and an ending time slope;
and determining a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
2. The early warning method for the hidden danger of the distribution network, as claimed in claim 1, wherein the step of receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device and determining whether the power frequency current and/or the power frequency voltage have sudden changes comprises:
selecting a plurality of point positions according to a power distribution network line topological structure, and installing monitoring devices for early warning of hidden dangers of a distribution network;
receiving traveling wave current, power frequency current and power frequency voltage of the current line collected by the monitoring device;
and judging whether the power frequency current and/or the power frequency voltage has a sudden change phenomenon.
3. The early warning method for the hidden troubles of the distribution network according to claim 2, wherein the step of judging whether the power frequency current and/or the power frequency voltage have sudden changes comprises the following steps:
when the variation of the traveling wave current is larger than a preset variation threshold, uploading the traveling wave current, the power frequency current and the power frequency voltage in a preset trigger time period to a background;
and judging whether the power frequency current and/or the power frequency voltage have sudden change phenomena or not by the background, wherein the sudden change phenomena comprise sudden increase and sudden decrease.
4. The early warning method for the hidden danger of the distribution network according to claim 1, wherein when the power frequency current and/or the power frequency voltage do not have a sudden change phenomenon, marking the current traveling wave current comprises:
and marking the current traveling wave current when the power frequency current and/or the power frequency voltage has no sudden change phenomenon of sudden increase or sudden decrease.
5. The early warning method for hidden dangers of distribution networks according to claim 1, wherein the step of determining the corresponding slope matrix according to the slope of the starting time, the slope of the intermediate time and the slope of the ending time and the step of determining the similarity between every two traveling wave current waveforms according to the slope matrix comprises the steps of:
generating a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope and a preset matrix format;
and judging the similarity of the slope matrixes between every two traveling wave current waveforms in the same time period by utilizing the KL divergence.
6. The utility model provides a join in marriage net hidden danger early warning device which characterized in that, join in marriage net hidden danger early warning device and include:
the receiving module is used for receiving the traveling wave current, the power frequency current and the power frequency voltage sent by the monitoring device and judging whether the power frequency current and/or the power frequency voltage have a sudden change phenomenon or not;
the marking module is used for marking the current traveling wave current when the power frequency current and/or the power frequency voltage has no mutation phenomenon;
the judging module is used for counting the marked traveling wave current waveforms, determining the similarity between every two traveling wave current waveforms and judging whether hidden dangers exist in the current line according to the similarity;
the judging module is also used for counting the traveling wave current waveforms of the marked traveling wave current within the preset counting time and determining the similarity between every two traveling wave current waveforms; when the similarity is larger than a preset similarity threshold, judging that hidden danger exists in the current line; when the similarity is not greater than the preset similarity threshold, judging that no hidden danger exists in the current line;
the judging module is also used for counting the traveling wave current amplitudes of the marked traveling wave current at the starting time, the middle time and the ending time within each period of preset counting time; fitting a current curve in each time period according to the traveling wave current amplitude value to obtain a starting time slope, a middle time slope and an ending time slope; and determining a corresponding slope matrix according to the initial time slope, the intermediate time slope and the end time slope, and determining the similarity between every two traveling wave current waveforms according to the slope matrix.
7. The utility model provides a join in marriage net hidden danger early warning equipment which characterized in that, join in marriage net hidden danger early warning equipment and include: the early warning method comprises a memory, a processor and a distribution network hidden danger early warning program which is stored in the memory and can run on the processor, wherein the distribution network hidden danger early warning program is configured to realize the steps of the early warning method for the hidden danger of the distribution network according to any one of claims 1 to 5.
8. A storage medium, wherein a distribution network hidden danger early warning program is stored on the storage medium, and when being executed by a processor, the storage medium implements the steps of the distribution network hidden danger early warning method according to any one of claims 1 to 5.
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