CN118884303B - Fault remote diagnosis method and system for zero-impedance lightning arrester - Google Patents
Fault remote diagnosis method and system for zero-impedance lightning arrester Download PDFInfo
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Abstract
The invention relates to the technical field of remote monitoring of lightning arresters, in particular to a fault remote diagnosis method and system of a zero-impedance lightning arrester, and the specific method comprises the following steps of diagnosing the first-round operation stability of the zero-impedance lightning arrester; the method comprises the steps of evaluating and calculating a lightning stroke bearing capacity value of the zero-impedance lightning arrester, further screening the zero-impedance lightning arrester, executing a corresponding circuit protection strategy, calculating an environment interference coefficient and an electric interference coefficient, constructing a real-time interference coupling model of the zero-impedance lightning arrester when the zero-impedance lightning arrester works, performing second fault diagnosis of the zero-impedance lightning arrester according to an interference coupling factor time sequence set, and synchronously outputting a diagnosis result and maintenance advice of the zero-impedance lightning arrester. The invention solves the problem that in the prior art, compared with off-line detection, the on-line remote monitoring of the zero-impedance lightning arrester is influenced by environmental and electrical interference factors, so that the false alarm rate of monitored data is high.
Description
Technical Field
The invention relates to the technical field of remote monitoring of lightning arresters, in particular to a remote fault diagnosis method and system for a zero-impedance lightning arrester.
Background
The lightning arrester is an important component for protecting electric equipment from lightning stroke and overvoltage in an electric power system, and the lightning arrester is used for preventing the lightning stroke from damaging the electric equipment by guiding lightning current to the ground, so that the reliability and the stability of the system are improved, higher requirements are put forward on the protection performance of the lightning arrester along with the continuous development of the electric power system, and meanwhile, compared with the traditional method for periodically maintaining the lightning arrester and directly testing the lightning stroke off line, the on-line remote diagnosis is influenced by environmental and electrical interference factors, and the problem of how to improve the accuracy of the remote diagnosis technology of the lightning arrester becomes a gradually important problem in the industry.
In the prior art, as disclosed in patent application publication No. CN106501631A, a device and a method for monitoring the leakage current of a parallel arrester of a high-voltage direct-current breaker are characterized by comprising at least one wireless current sensing wave recording device, wherein all the wireless current sensing wave recording devices are connected with a data acquisition unit in a wireless mode, so that the acquired instantaneous current data waveform of a measuring point is transmitted to the data acquisition unit in a wireless mode, and the data acquisition unit is connected with a calculation and analysis platform in a wireless or wired mode, so that the calculation and analysis platform analyzes the instantaneous current data waveform and gives a prompt when abnormality is found.
The above patent only focuses on the real-time monitoring of current data, and does not consider the influence of environmental interference and electrical interference on the performance of the lightning arrester, so that the lightning arrester is not accurately evaluated under actual running conditions.
Disclosure of Invention
The invention aims to solve the technical problem that in the prior art, compared with off-line detection, on-line remote monitoring of a zero-impedance arrester is influenced by environmental and electrical interference factors, so that the false alarm rate of monitored data is high, and provides a fault remote diagnosis method and system for the zero-impedance arrester.
In order to achieve the purpose, the technical scheme of the fault remote diagnosis method for the zero-impedance lightning arrester comprises the following steps:
S1, acquiring initial operation data of a zero-impedance lightning arrester in thunderstorm weather, and diagnosing the first-round operation stability of the zero-impedance lightning arrester;
s2, evaluating and calculating a lightning stroke bearing capacity value of the zero-impedance lightning arrester according to the operation stability diagnosis result;
S3, judging a lightning arrester bearing threshold according to the lightning strike bearing capacity value, further screening the zero-impedance lightning arrester, and executing a corresponding circuit protection strategy;
S4, acquiring environmental data and electrical data of the zero-impedance lightning arrester in real time, and respectively importing the environmental data and the electrical data into an operation interference coefficient calculation strategy of the zero-impedance lightning arrester to calculate an environmental interference coefficient and an electrical interference coefficient;
S5, constructing a real-time interference coupling model of the zero-impedance lightning arrester during working according to the environmental interference coefficient and the electric interference coefficient;
And S6, extracting real-time interference coupling factors in the real-time interference coupling model to form an interference coupling factor time sequence set, and carrying out second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time sequence set, and synchronously outputting a diagnosis result and maintenance advice of the zero-impedance lightning arrester.
Specifically, S1 includes the following specific steps:
S11, arranging a sensor network on a current path of the lightning arrester, and collecting initial operation data of the zero-impedance lightning arrester in thunderstorm weather, wherein the initial operation data comprise arc current waveform data obtained through a current transformer and arc voltage waveform data obtained through a voltage sensor;
wherein the arc current waveform data comprises current waveform data between a piezoresistor and a discharge gap Current waveform data between piezoresistor and grounding systemCurrent waveform data between discharge gap and insulating material;
The arc voltage waveform data comprises voltage waveform data between piezoresistor and discharge gapVoltage waveform data between piezoresistor and ground systemVoltage waveform data between discharge gap and insulating material;
S12, the arc current waveform data is led into an arc current intensity value calculation strategy to calculate the arc current intensity values of all elements of the lightning arrester, so as to form an arc current intensity set,The arc current intensity value calculation strategy specifically comprises the following steps:
;
wherein T is the duration of one lightning stroke round, and T represents the monitoring time point;
For arc current intensity value, a is subscript, a=1, 2,3;
To represent the ageing weight function of a zero-impedance arrester, M is the accumulated running lightning stroke turn of the zero-impedance lightning arrester after being installed, M is the factory rated lightning stroke turn of the zero-impedance lightning arrester;
S13, importing the arc voltage waveform data into an arc voltage intensity value calculation strategy to calculate the arc voltage intensity values of all elements of the lightning arrester to form an arc voltage intensity set ,The arc voltage intensity value calculation strategy specifically comprises the following steps:
;
Wherein, The arc voltage intensity value, a is a subscript;
s14, extracting an arc current intensity set Arc voltage intensity setAnd calculating the arc phase stability, wherein the calculation strategy specifically comprises the following steps:
;
Wherein, Respectively the electric arc voltage intensity setsArc current intensity setAn arc voltage intensity average value and an arc current intensity average value of the data quantity;
real parts respectively representing the arc voltage intensity average value and the arc current intensity average value;
Phase angle portions representing the average value of the arc voltage intensity and the average value of the arc current intensity, respectively.
Specifically, S1 further includes the following specific steps:
s15, extracting the stability of the arc phase and presetting a stable grade intersection value ;
S16, diagnosing the operation stability of the zero-impedance lightning arrester, wherein the operation stability is as follows:
When the arc phase is stable When the lightning stroke is performed, judging that the performance stability grade of the zero-impedance lightning arrester in the current lightning stroke round is a general stability grade;
When the arc phase is stable Or (b)When the lightning stroke is performed, judging that the performance stability grade of the zero-impedance lightning arrester in the current lightning stroke round is an unstable grade;
And S17, screening zero-impedance lightning arresters with stable performance grades being unstable grades, marking the zero-impedance lightning arresters with the unstable grades as potential anomalies, and forming a potential anomaly lightning arrester set.
Specifically, S2 includes the following specific steps:
s21, extracting and forming a potential abnormal lightning arrester set, identifying the geographic position of the abnormal lightning arrester, and arranging neighbor lightning arresters around the abnormal lightning arrester in ascending order according to the linear distance between the lightning arresters;
s22, synchronously screening 5 nearest neighbor arresters which are nearest to each abnormal arrester to form a neighbor arrester set;
s23, collecting lightning stroke energy values, the number of lightning strokes and the duration of single lightning strokes received by each lightning arrester in a neighbor lightning arrester set in the current lightning stroke turn;
S24, according to S23, evaluating and calculating a lightning stroke bearing capacity value P of the abnormal lightning arrester, wherein the specific evaluation strategy is as follows:
;
Wherein, The lightning stroke energy contribution rate and the lightning stroke duration contribution rate are respectively;
The lightning stroke energy value received by the n-th neighbor lightning arrester; a lightning strike energy value for the abnormal lightning arrester;
a lightning strike duration for the nth neighbor lightning arrester; the duration of the lightning strike of the abnormal lightning arrester;
Indicating the straight line distance of the nth neighbor arrester from the abnormal arrester.
Specifically, the judgment of the lightning arrester bearing threshold value in the S3 comprises the steps of presetting a lightning strike bearing threshold value of an abnormal lightning arrester;
When the lightning stroke bearing capacity value P of the abnormal lightning arrester is smaller than the lightning stroke bearing threshold value, triggering a strong breaking device of the lightning arrester, and immediately cutting off a circuit;
and when the lightning stroke bearing capacity value P of the abnormal lightning arrester is larger than or equal to the lightning stroke bearing threshold value, judging that the lightning arrester has the precondition of the second fault diagnosis, and continuously executing the step S4.
Specifically, S4 includes the following specific steps:
S41, acquiring historical characteristic data of the zero-impedance lightning arrester in historical lightning stroke rounds, building and training a data driving model according to the historical characteristic data, and outputting the historical characteristic data with highest similarity with the lightning stroke rounds through the data driving model, wherein the historical characteristic data comprises historical operation data, historical environment data and historical electrical data;
s42, acquiring environmental data and electrical data of the zero-impedance lightning arrester in real time, wherein the environmental data comprise surface humidity average value data and surface temperature average value data of the zero-impedance lightning arrester, and the electrical data comprise total number Q of running high-frequency electric appliances around the zero-impedance lightning arrester and electromagnetic interference frequency emitted by each running high-frequency electric appliance And the linear distance between each running high-frequency electric appliance and the zero-impedance lightning arrester;
S43, extracting surface humidity data and surface temperature data of the zero-impedance lightning arrester, and calculating the real-time temperature-humidity ratio of the zero-impedance lightning arrester Wherein the real-time temperature-humidity ratio is the ratio of the surface temperature average value data to the surface humidity average value data;
s44, extracting historical surface humidity average data and historical surface temperature average data of the zero-impedance lightning arrester in the historical characteristic data with highest similarity, and calculating the obtained historical characteristic temperature-humidity ratio The historical characteristic temperature-humidity ratio is the ratio of historical surface temperature average data to historical surface humidity average data;
s45, importing temperature-humidity ratio data into an environment operation interference coefficient calculation strategy of the zero-impedance lightning arrester, wherein the environment operation interference coefficient calculation strategy is specifically as follows:
;
Wherein, Is the interference coefficient of electric operation; the insulation resistance value of the zero-impedance lightning arrester is shown when the monitoring time point is t; and the insulation resistance value of the zero-impedance lightning arrester in the historical characteristic data with the highest similarity is represented.
Specifically, S4 further includes the following specific steps:
s46, importing the electrical data into an electrical operation interference coefficient calculation strategy of the zero-impedance lightning arrester, wherein the electrical operation interference coefficient calculation strategy is specifically as follows:
;
Wherein, Is the interference coefficient of electric operation; Respectively representing the maximum linear distance and the minimum linear distance between the running high-frequency electric appliance and the zero-impedance lightning arrester;
Respectively representing the maximum linear distance and the minimum linear distance between the running high-frequency electric appliance and the zero-impedance lightning arrester in the historical characteristic data with the highest similarity;
in the historical characteristic data with highest similarity, the average value of electromagnetic interference frequencies emitted by the running high-frequency electric appliances is shown;
representing the working residual voltage of the zero-impedance lightning arrester; and the working residual voltage of the zero-impedance lightning arrester in the historical characteristic data with the highest similarity is represented.
Specifically, in S5, the real-time interference coupling model specifically includes:
;
Wherein, In order to interfere with the coupling factor in real time,The coupling proportionality coefficients of the environmental operation interference coefficient and the electric operation interference coefficient respectively,。
Specifically, S6 includes the following specific steps:
s61, extracting real-time interference coupling factors GR in the real-time interference coupling model to form an interference coupling factor time sequence set;
S62, performing second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time sequence set, wherein the second fault diagnosis strategy specifically comprises the following steps:
in three successive lightning stroke rounds, when the real-time interference coupling factor GR is smaller than or equal to one time or larger than or twice successively larger than the fault risk primary interference threshold value When the potential abnormal mark of the abnormal lightning arrester is eliminated, and the zero-impedance lightning arrester is continuously monitored;
S63, the second fault diagnosis strategy further includes:
In three successive lightning stroke rounds, when the real-time interference coupling factor GR is greater than the fault risk primary interference threshold value three successive times And is less than or equal to a fault risk secondary interference thresholdAnd when the actual working performance of the abnormal lightning arrester is judged to be interfered, the potential abnormal mark is updated to be a working fault mark, and an off-line maintenance prompt of the zero-impedance lightning arrester is synchronously sent to maintenance personnel.
Specifically, the second fault diagnosis strategy further comprises the step of, in three successive lightning stroke rounds, when the real-time interference coupling factor GR is larger than the fault risk secondary interference threshold value for the first timeWhen the lightning arrester is triggered, the strong breaking device of the lightning arrester is triggered, and the circuit is immediately cut off;
After the strong breaking device of the arrester is triggered, the diagnosis result of the major fault of the arrester is synchronously popped up at the remote diagnosis interactive interface of the zero-impedance arrester, and a prompt for replacing the arrester of the zero-impedance arrester is sent to maintenance personnel.
In addition, the fault remote diagnosis system of the zero-impedance lightning arrester comprises the following modules:
the system comprises a first round diagnosis module, a lightning stroke bearing capacity evaluation module, a bearing threshold judgment module, an interference coefficient calculation module, an interference coupling model construction module and a second fault diagnosis module;
The first-round diagnosis module is used for collecting initial operation data of the zero-impedance lightning arrester in thunderstorm weather and diagnosing the first-round operation stability of the zero-impedance lightning arrester;
the lightning stroke bearing capacity evaluation module evaluates and calculates the lightning stroke bearing capacity value of the zero-impedance lightning arrester according to the operation stability diagnosis result;
The bearing threshold judging module judges the bearing threshold of the lightning arrester according to the lightning stroke bearing capacity value, further screens the zero-impedance lightning arrester and executes a corresponding circuit protection strategy;
the interference coefficient calculation module is used for collecting environmental data and electrical data of the zero-impedance lightning arrester in real time, and respectively importing the environmental data and the electrical data into an operation interference coefficient calculation strategy of the zero-impedance lightning arrester to calculate an environmental interference coefficient and an electrical interference coefficient;
the interference coupling model construction module is used for constructing a real-time interference coupling model of the zero-impedance lightning arrester during working according to the environmental interference coefficient and the electric interference coefficient;
The second fault diagnosis module is used for extracting real-time interference coupling factors in the real-time interference coupling model to form an interference coupling factor time sequence set, and carrying out second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time sequence set, and synchronously outputting diagnosis results and maintenance suggestions of the zero-impedance lightning arrester.
A storage medium having instructions stored therein that, when read by a computer, cause the computer to perform the method of remote diagnosis of a zero-impedance arrester fault.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a zero impedance arrester fault remote diagnosis method as described above when executing the computer program.
Compared with the prior art, the invention has the following technical effects:
1. the invention accurately identifies potential fault sources and working anomalies by monitoring the arc phase stability of the zero-impedance arrester in the actual working state, and leakage current monitoring generally needs a certain time to accumulate, so that instantaneous anomalies can not be captured quickly, and the leakage current monitoring can not accurately distinguish fine changes in various working states.
2. The invention evaluates the lightning stroke bearing capacity of the lightning arrester by utilizing the diagnosis result of the initial operation data, thereby determining whether the lightning stroke bearing capacity meets the safety standard, and arranging the strong breaking device is beneficial to early identifying the lightning arrester with insufficient bearing capacity and reducing the risk of the occurrence of the faults of an electrical system.
3. After the threshold value is judged, the invention collects and analyzes the environmental and electrical data in real time, is beneficial to comprehensively understand the interference condition of the lightning arrester in the actual operation, is beneficial to deeply distinguishing interference factors, is beneficial to identifying the reliability of the abnormal mark of the zero-impedance lightning arrester in the first-round operation stability diagnosis, and effectively reduces the problem of high false alarm rate when the lightning arrester is monitored by a far end.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of a method for remote diagnosis of zero-impedance arrester faults according to the present invention;
fig. 2 is a schematic structural diagram of a fault remote diagnosis system for a zero-impedance lightning arrester according to the present invention;
fig. 3 is a schematic structural diagram of a second fault diagnosis module according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Embodiment one:
as shown in fig. 1, the remote diagnosis method for the fault of the zero-impedance lightning arrester according to the embodiment of the invention, as shown in fig. 1, comprises the following specific steps:
S1, acquiring initial operation data of a zero-impedance lightning arrester in thunderstorm weather, and diagnosing the first-round operation stability of the zero-impedance lightning arrester;
S1 comprises the following specific steps:
S11, arranging a sensor network on a current path of the lightning arrester, and collecting initial operation data of the zero-impedance lightning arrester in thunderstorm weather, wherein the initial operation data comprise arc current waveform data obtained through a current transformer and arc voltage waveform data obtained through a voltage sensor;
wherein the arc current waveform data comprises current waveform data between a piezoresistor and a discharge gap Current waveform data between piezoresistor and grounding systemCurrent waveform data between discharge gap and insulating material;
The arc voltage waveform data comprises voltage waveform data between piezoresistor and discharge gapVoltage waveform data between piezoresistor and ground systemVoltage waveform data between discharge gap and insulating material;
S12, the arc current waveform data is led into an arc current intensity value calculation strategy to calculate the arc current intensity values of all elements of the lightning arrester, so as to form an arc current intensity set,The arc current intensity value calculation strategy specifically comprises the following steps:
;
wherein T is the duration of one lightning stroke round, and T represents the monitoring time point;
For arc current intensity value, a is subscript, a=1, 2,3;
To represent the ageing weight function of a zero-impedance arrester, M is the accumulated running lightning stroke turn of the zero-impedance lightning arrester after being installed, M is the factory rated lightning stroke turn of the zero-impedance lightning arrester;
S13, importing the arc voltage waveform data into an arc voltage intensity value calculation strategy to calculate the arc voltage intensity values of all elements of the lightning arrester to form an arc voltage intensity set ,The arc voltage intensity value calculation strategy specifically comprises the following steps:
;
Wherein, The arc voltage intensity value, a is a subscript;
s14, extracting an arc current intensity set Arc voltage intensity setAnd calculating the arc phase stability, wherein the calculation strategy specifically comprises the following steps:
;
Wherein, Respectively the electric arc voltage intensity setsArc current intensity setAn arc voltage intensity average value and an arc current intensity average value of the data quantity;
real parts respectively representing the arc voltage intensity average value and the arc current intensity average value;
Phase angle portions representing the average value of the arc voltage intensity and the average value of the arc current intensity, respectively.
S1 further comprises the following specific steps:
s15, extracting the stability of the arc phase and presetting a stable grade intersection value ;
S16, diagnosing the operation stability of the zero-impedance lightning arrester, wherein the operation stability is as follows:
When the arc phase is stable When the lightning stroke is performed, judging that the performance stability grade of the zero-impedance lightning arrester in the current lightning stroke round is a general stability grade;
When the arc phase is stable Or (b)When the lightning stroke is performed, judging that the performance stability grade of the zero-impedance lightning arrester in the current lightning stroke round is an unstable grade;
Illustratively, in this embodiment, within 10 minutes, all lightning strike events constitute one lightning strike round;
And S17, screening zero-impedance lightning arresters with stable performance grades being unstable grades, marking the zero-impedance lightning arresters with the unstable grades as potential anomalies, and forming a potential anomaly lightning arrester set.
S2, evaluating and calculating a lightning stroke bearing capacity value of the zero-impedance lightning arrester according to the operation stability diagnosis result;
S2 comprises the following specific steps:
s21, extracting and forming a potential abnormal lightning arrester set, identifying the geographic position of the abnormal lightning arrester, and arranging neighbor lightning arresters around the abnormal lightning arrester in ascending order according to the linear distance between the lightning arresters;
s22, synchronously screening 5 nearest neighbor arresters which are nearest to each abnormal arrester to form a neighbor arrester set;
s23, collecting lightning stroke energy values, the number of lightning strokes and the duration of single lightning strokes received by each lightning arrester in a neighbor lightning arrester set in the current lightning stroke turn;
S24, according to S23, evaluating and calculating a lightning stroke bearing capacity value P of the abnormal lightning arrester, wherein the specific evaluation strategy is as follows: ;
Wherein, The lightning stroke energy contribution rate and the lightning stroke duration contribution rate are respectively;
The lightning stroke energy value received by the n-th neighbor lightning arrester; a lightning strike energy value for the abnormal lightning arrester;
Illustratively, in the present embodiment, a calculation strategy of lightning strike energy values is given, specifically: L is inductance, y is leakage current;
a lightning strike duration for the nth neighbor lightning arrester; the duration of the lightning strike of the abnormal lightning arrester;
Indicating the straight line distance of the nth neighbor arrester from the abnormal arrester.
S3, judging a lightning arrester bearing threshold according to the lightning strike bearing capacity value, further screening the zero-impedance lightning arrester, and executing a corresponding circuit protection strategy;
s3, judging the lightning arrester bearing threshold value comprises presetting a lightning strike bearing threshold value of an abnormal lightning arrester;
When the lightning stroke bearing capacity value P of the abnormal lightning arrester is smaller than the lightning stroke bearing threshold value, triggering a strong breaking device of the lightning arrester, and immediately cutting off a circuit;
and when the lightning stroke bearing capacity value P of the abnormal lightning arrester is larger than or equal to the lightning stroke bearing threshold value, judging that the lightning arrester has the precondition of the second fault diagnosis, and continuously executing the step S4.
S4, acquiring environmental data and electrical data of the zero-impedance lightning arrester in real time, and respectively importing the environmental data and the electrical data into an operation interference coefficient calculation strategy of the zero-impedance lightning arrester to calculate an environmental interference coefficient and an electrical interference coefficient;
s4 comprises the following specific steps:
S41, acquiring historical characteristic data of the zero-impedance lightning arrester in historical lightning stroke rounds, building and training a data driving model according to the historical characteristic data, and outputting the historical characteristic data with highest similarity with the lightning stroke rounds through the data driving model, wherein the historical characteristic data comprises historical operation data, historical environment data and historical electrical data;
s42, acquiring environmental data and electrical data of the zero-impedance lightning arrester in real time, wherein the environmental data comprise surface humidity average value data and surface temperature average value data of the zero-impedance lightning arrester, and the electrical data comprise total number Q of running high-frequency electric appliances around the zero-impedance lightning arrester and electromagnetic interference frequency emitted by each running high-frequency electric appliance And the linear distance between each running high-frequency electric appliance and the zero-impedance lightning arrester;
S43, extracting surface humidity data and surface temperature data of the zero-impedance lightning arrester, and calculating the real-time temperature-humidity ratio of the zero-impedance lightning arrester Wherein the real-time temperature-humidity ratio is the ratio of the surface temperature average value data to the surface humidity average value data;
s44, extracting historical surface humidity average data and historical surface temperature average data of the zero-impedance lightning arrester in the historical characteristic data with highest similarity, and calculating the obtained historical characteristic temperature-humidity ratio The historical characteristic temperature-humidity ratio is the ratio of historical surface temperature average data to historical surface humidity average data;
further, the data in S41 to S44 are dimensionless processed here;
s45, importing temperature-humidity ratio data into an environment operation interference coefficient calculation strategy of the zero-impedance lightning arrester, wherein the environment operation interference coefficient calculation strategy is specifically as follows:
;
Wherein, Is the interference coefficient of electric operation; the insulation resistance value of the zero-impedance lightning arrester is shown when the monitoring time point is t; and the insulation resistance value of the zero-impedance lightning arrester in the historical characteristic data with the highest similarity is represented.
S4, further comprising the following specific steps:
s46, importing the electrical data into an electrical operation interference coefficient calculation strategy of the zero-impedance lightning arrester, wherein the electrical operation interference coefficient calculation strategy is specifically as follows:
;
Wherein, Is the interference coefficient of electric operation; Respectively representing the maximum linear distance and the minimum linear distance between the running high-frequency electric appliance and the zero-impedance lightning arrester;
Respectively representing the maximum linear distance and the minimum linear distance between the running high-frequency electric appliance and the zero-impedance lightning arrester in the historical characteristic data with the highest similarity;
in the historical characteristic data with highest similarity, the average value of electromagnetic interference frequencies emitted by the running high-frequency electric appliances is shown;
representing the working residual voltage of the zero-impedance lightning arrester; and the working residual voltage of the zero-impedance lightning arrester in the historical characteristic data with the highest similarity is represented.
S5, constructing a real-time interference coupling model of the zero-impedance lightning arrester during working according to the environmental interference coefficient and the electric interference coefficient;
In S5, the real-time interference coupling model specifically includes:
;
Wherein, In order to interfere with the coupling factor in real time,The coupling proportionality coefficients of the environmental operation interference coefficient and the electric operation interference coefficient respectively,。
And S6, extracting real-time interference coupling factors in the real-time interference coupling model to form an interference coupling factor time sequence set, and carrying out second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time sequence set, and synchronously outputting a diagnosis result and maintenance advice of the zero-impedance lightning arrester.
S6 comprises the following specific steps:
s61, extracting real-time interference coupling factors GR in the real-time interference coupling model to form an interference coupling factor time sequence set;
S62, performing second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time sequence set, wherein the second fault diagnosis strategy specifically comprises the following steps:
in three successive lightning stroke rounds, when the real-time interference coupling factor GR is smaller than or equal to one time or larger than or twice successively larger than the fault risk primary interference threshold value When the potential abnormal mark of the abnormal lightning arrester is eliminated, and the zero-impedance lightning arrester is continuously monitored;
S63, the second fault diagnosis strategy further includes:
In three successive lightning stroke rounds, when the real-time interference coupling factor GR is greater than the fault risk primary interference threshold value three successive times And is less than or equal to a fault risk secondary interference thresholdAnd when the actual working performance of the abnormal lightning arrester is judged to be interfered, the potential abnormal mark is updated to be a working fault mark, and an off-line maintenance prompt of the zero-impedance lightning arrester is synchronously sent to maintenance personnel.
The second fault diagnosis strategy further comprises the steps of, in three successive lightning stroke rounds, when the real-time interference coupling factor GR is larger than the fault risk secondary interference threshold value for the first timeWhen the lightning arrester is triggered, the strong breaking device of the lightning arrester is triggered, and the circuit is immediately cut off;
After the strong breaking device of the arrester is triggered, the diagnosis result of the major fault of the arrester is synchronously popped up at the remote diagnosis interactive interface of the zero-impedance arrester, and a prompt for replacing the arrester of the zero-impedance arrester is sent to maintenance personnel.
Embodiment two:
As shown in fig. 2 and 3, a fault remote diagnosis system for a zero-impedance lightning arrester according to an embodiment of the present invention, as shown in fig. 2, includes the following modules:
the system comprises a first round diagnosis module, a lightning stroke bearing capacity evaluation module, a bearing threshold judgment module, an interference coefficient calculation module, an interference coupling model construction module and a second fault diagnosis module;
The first-round diagnosis module is used for collecting initial operation data of the zero-impedance lightning arrester in thunderstorm weather and diagnosing the first-round operation stability of the zero-impedance lightning arrester;
the lightning stroke bearing capacity evaluation module evaluates and calculates the lightning stroke bearing capacity value of the zero-impedance lightning arrester according to the operation stability diagnosis result;
The bearing threshold judging module judges the bearing threshold of the lightning arrester according to the lightning stroke bearing capacity value, further screens the zero-impedance lightning arrester and executes a corresponding circuit protection strategy;
the interference coefficient calculation module is used for collecting environmental data and electrical data of the zero-impedance lightning arrester in real time, and respectively importing the environmental data and the electrical data into an operation interference coefficient calculation strategy of the zero-impedance lightning arrester to calculate an environmental interference coefficient and an electrical interference coefficient;
the interference coupling model construction module is used for constructing a real-time interference coupling model of the zero-impedance lightning arrester during working according to the environmental interference coefficient and the electric interference coefficient;
The second fault diagnosis module is used for extracting real-time interference coupling factors in the real-time interference coupling model to form an interference coupling factor time sequence set, and carrying out second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time sequence set, and synchronously outputting diagnosis results and maintenance suggestions of the zero-impedance lightning arrester.
The second fault diagnosis module further comprises a real-time interference coupling factor extraction unit, a second fault diagnosis unit and a diagnosis suggestion output unit, wherein the real-time interference coupling factor extraction unit is used for extracting real-time interference coupling factors in a real-time interference coupling model, the second fault diagnosis unit is used for performing second fault diagnosis of the zero-impedance arrester, and the diagnosis suggestion output unit is used for outputting diagnosis results and maintenance suggestions of the zero-impedance arrester.
Embodiment III:
The embodiment provides electronic equipment, which comprises a processor and a memory, wherein the memory stores a computer program which can be called by the processor;
The processor executes the remote diagnosis method for the fault of the zero-impedance lightning arrester by calling the computer program stored in the memory.
The electronic device may have a relatively large difference due to different configurations or performances, and can include one or more processors (Central Processing Units, CPU) and one or more memories, where at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to implement a remote diagnosis method for a fault of a zero-impedance lightning arrester provided by the above method embodiment. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Embodiment four:
the present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
the computer program, when run on a computer device, causes the computer device to perform a remote diagnosis of a fault of a zero-impedance arrester as described above.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, and the like.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the partitioning of units is merely one, and there may be additional partitioning in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In summary, compared with the prior art, the technical effects of the invention are as follows:
1. the invention accurately identifies potential fault sources and working anomalies by monitoring the arc phase stability of the zero-impedance arrester in the actual working state, and leakage current monitoring generally needs a certain time to accumulate, so that instantaneous anomalies can not be captured quickly, and the leakage current monitoring can not accurately distinguish fine changes in various working states.
2. The invention evaluates the lightning stroke bearing capacity of the lightning arrester by utilizing the diagnosis result of the initial operation data, thereby determining whether the lightning stroke bearing capacity meets the safety standard, and arranging the strong breaking device is beneficial to early identifying the lightning arrester with insufficient bearing capacity and reducing the risk of the occurrence of the faults of an electrical system.
3. After the threshold value is judged, the invention collects and analyzes the environmental and electrical data in real time, is beneficial to comprehensively understand the interference condition of the lightning arrester in the actual operation, is beneficial to deeply distinguishing interference factors, is beneficial to identifying the reliability of the abnormal mark of the zero-impedance lightning arrester in the first-round operation stability diagnosis, and effectively reduces the problem of high false alarm rate when the lightning arrester is monitored by a far end.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
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| CN117110736A (en) * | 2023-07-10 | 2023-11-24 | 贵州电网有限责任公司 | Detection early warning method and system based on power distribution network lightning arrester |
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| EP2392934B1 (en) * | 2010-06-02 | 2019-02-06 | Omicron Energy Solutions GmbH | Method and device for monitoring a sheath voltage arrester of a cable system |
| KR101990930B1 (en) * | 2018-06-28 | 2019-06-19 | 주식회사 비츠로이엠 | Arrester equipped with apparatus for monitoring a status |
| CN118465477B (en) * | 2024-07-15 | 2024-10-11 | 武汉市康达电气有限公司 | Lightning arrester monitoring method and system based on harmonic vector and environment measurement |
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| CN105319451A (en) * | 2014-06-25 | 2016-02-10 | 国家电网公司 | Running state detecting method and apparatus of zinc oxide arrester |
| CN117110736A (en) * | 2023-07-10 | 2023-11-24 | 贵州电网有限责任公司 | Detection early warning method and system based on power distribution network lightning arrester |
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