CN110441655A - A kind of wind power plant collection electric line lightning stroke ground fault detection system - Google Patents
A kind of wind power plant collection electric line lightning stroke ground fault detection system Download PDFInfo
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- CN110441655A CN110441655A CN201910731815.XA CN201910731815A CN110441655A CN 110441655 A CN110441655 A CN 110441655A CN 201910731815 A CN201910731815 A CN 201910731815A CN 110441655 A CN110441655 A CN 110441655A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
The present invention relates to a kind of wind power plant collection electric line lightning stroke ground fault detection systems, comprising: edge calculations device, the edge calculations device include edge data acquisition unit, edge calculations gateway and GPS time service unit；After the data acquisition that each edge data acquisition unit synchronizes under the time service of GPS time service unit, send the data to edge calculations gateway, edge calculations gateway judges whether to generate lightning stroke ground fault according to each data of the synchronous acquisition, according to the generation area of connection relationship judgement lightning stroke ground fault of each edge data acquisition unit in collection electric line.The generation place of connection relationship judgement lightning stroke ground fault after determining generation lightning stroke ground fault according to each edge data acquisition unit in collection electric line, the infield of edge data acquisition unit can carry out unified planning setting according to the wind power plant of the different voltages rank difference mode of connection, and the data of the wind power plant of identical voltage level and the mode of connection can be compared and analyzed preferably.
Description
Technical field
The present invention relates to wind power plant O&M technical fields, and in particular to a kind of wind power plant collection electric line lightning stroke ground fault prison
Examining system.
Background technique
With the fast development of wind-power electricity generation, many wind farm sitings collect electric line on wilderness, hills or high mountain and other places
Long, the probability for meeting with lightning stroke is larger, and lightning discharge causes very high lightning surge, cause line over the ground, phase insulation breakdown etc.,
To cause line tripping accident.Whole collection electric line unit outage, can cause waste of energy, maintenance cost caused by lightning strike accident
With etc. high economic loss.
It is mostly in the prior art in the place setting measuring device for being subject to lightning stroke, real-time measurement to the monitoring of thunder and lightning
Simultaneously threshold value is arranged in the data such as electric current, voltage or field strength, when the electric current, voltage or the field strength that determine real-time measurement are more than the threshold of the setting
The electric current, voltage or field strength data are recorded when value and carry out subsequent analysis, or carry out real-time tripping action to route and equipment
It is protected.This method needs to understand on the spot the ease being struck by lightning not only to select the measurement of different accuracy to fill
The lightning data set, and carry out the not homogeneous lightning stroke of different places acquisition is unfavorable for the comparative analysis of lightning data.
Summary of the invention
The present invention for the technical problems in the prior art, provides a kind of wind power plant collection electric line lightning stroke ground fault
Monitoring system.
The technical scheme to solve the above technical problems is that a kind of wind power plant collection electric line lightning stroke ground fault prison
Examining system, the system comprises edge calculations device 1, the edge calculations device 1 includes edge data acquisition unit 11, edge
Calculate gateway 12 and GPS time service unit 13；
The quantity of the edge data acquisition unit 11 is at least two, is respectively arranged at the wind power plant collection electric line
On each setting node, the electric data of each node is acquired；
The edge calculations gateway 12 and the GPS time service unit 13 respectively with each edge data acquisition unit
11 connection communications；
The data that each edge data acquisition unit 11 synchronizes under the time service of the GPS time service unit 13 are adopted
After collection, the edge calculations gateway 12 is sent the data to, the edge calculations gateway 12 is according to each data of synchronous acquisition
Judge whether to generate lightning stroke ground fault, be acquired after determining the generation lightning stroke ground fault according to each edge data
Connection relationship of the unit 11 in the collection electric line judges the generation area of the lightning stroke ground fault.
The beneficial effects of the present invention are: edge data acquisition unit is set on each node of wind power plant collection electric line, it should
Node can be the output point of each group Wind turbines, the tie point of each group Wind turbines, the input point of substation and substation
Output point etc., and the electrical of each edge data acquisition unit synchronous acquisition collection electric line is made by GPS time service unit time service
Data can close after determining generation lightning stroke ground fault according to connection of each edge data acquisition unit in collection electric line
The generation place of system's judgement lightning stroke ground fault.It the infield of edge data acquisition unit can be according to different voltages rank not
Wind power plant with the mode of connection carries out unified planning setting, and the data of the wind power plant of identical voltage level and the mode of connection can be compared with
Good compares and analyzes.
Based on the above technical solution, the present invention can also be improved as follows.
Further, the node includes: the output point of each group Wind turbines, the tie point of each group Wind turbines, substation
Input point and substation output point.
The edge data acquisition unit 11 includes current transformer 111 and electric field strength transducer[sensor 112；
The current transformer 111 is used to acquire the current waveform of collection electric line, and the electric field strength transducer[sensor 112 is used for
Acquire the electric field strength on ground.
The edge calculations gateway 12 includes analysis module 121, failure wave-recording module 122 and wireless communication module 123；
The analysis module 121 analyzes the electric current for the collection electric line that the edge data acquisition unit 11 acquires in real time
The electric field strength on waveform and ground judges whether to generate the lightning stroke ground fault；
After the analysis module 121 determines to generate the lightning stroke ground fault, the failure wave-recording module 122 records event
Hinder data, module 123 sends the fault data by wireless communication；
The fault data includes the current waveform situation of change of the collection electric line before and after failure.
The edge data acquisition unit 11 includes low current power-supply circuit 113, and the low current power-supply circuit 113 is from institute
Stating collection electric line and taking electricity is that the edge data acquisition unit 11 provides electric energy；
The edge calculations gateway 12 includes that the battery 124 of electric energy is provided for it.
The system also includes IOT cloud platforms 2；
The failure wave-recording module 122 records and is sent to IOT by the wireless communication module 123 after the fault data
Cloud platform 2；
The IOT cloud platform 2 connects according to the voltage level sum aggregate electric line of the 11 place wind power plant of edge calculations device
Line mode classifies to the fault data, and the wind power plant of the same voltage level sum aggregate electric line mode of connection is each
Curent change situation corresponding fault type and failure generation area store after being matched before and after node failure.
The failure wave-recording module 122 records after the fault data is sent to IOT cloud platform 2；
The IOT cloud platform 2 is according to the voltage level sum aggregate electric line of the wind power plant where the edge calculations device 11
The mode of connection and the fault data determine fault type and the failure generating region of the lightning fault that the wind power plant occurs
Domain.
The IOT cloud platform 2 actively sends calling request of data to the edge calculations device 1 according to demand；
The edge calculations device 1 acquires the edge data acquisition unit 11 after receiving the calling request of data
Data be sent to the IOT cloud platform 2.
The system also includes the user terminals 3 communicated to connect with the IOT cloud platform 2；
The IOT cloud platform 2 is in the lightning stroke ground fault for determining that the 1 place wind power plant of edge calculations device generates
Type and failure generation area after, the information of the type of the lightning stroke ground fault and failure generation area is pushed to described
The user terminal 3 of the corresponding O&M service personnel of wind power plant.
The user terminal 3 is computer or mobile phone, and the information is pushed by way of short message, mail or APP.
Beneficial effect using above-mentioned further scheme is: the wind power plant of the same voltage level sum aggregate electric line mode of connection
When by lightning fault, the number of faults of each edge data acquisition unit acquisition of the same position of the type wind power plant is obtained
According to, i.e. curent change situation can be compared and analyzed preferably, and the fault data and fault type are carried out matching storage,
The electric current that each node when any type of failure occurs for obtaining the wind power plant of the voltage level sum aggregate electric line mode of connection becomes
Change situation, after the fault data for being successfully received wind power plant transmission, according to the voltage level sum aggregate electric line wiring of the wind power plant
Mode judges fault type and the failure generation area of wind power plant, and by the fault type and failure generation area with short message, postal
The modes such as part or APP are pushed to corresponding O&M service personnel in real time, and O&M service personnel is according to circumstances overhauled on the spot, subtracted
Few artificial line walking workload and fault location time.
Detailed description of the invention
Fig. 1 is a kind of schematic diagram of the structure of the embodiment of edge calculations device provided by the invention；
Fig. 2 is a kind of reality of cloud platform data wind power plant collection electric line lightning stroke ground fault detection system provided by the invention
Apply the structural block diagram of example；
Fig. 3 is a kind of reality of cloud platform data wind power plant collection electric line lightning stroke ground fault detection system provided by the invention
Apply the work flow diagram of example.
In attached drawing, parts list represented by the reference numerals are as follows:
1, edge calculations device, 11, edge data acquisition unit, 12, edge calculations gateway, 121, analysis module, 122,
Failure wave-recording module, 123, wireless communication module, 124, battery, 13, GPS time service unit, 2, IOT cloud platform, 3, user terminal.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
The present invention provides a kind of wind power plant collection electric line lightning stroke ground fault detection system, comprising: edge calculations device 1,
It is as shown in Figure 1 a kind of schematic diagram of the structure of the embodiment of edge calculations device provided by the invention, as shown in Figure 1, the side
Edge computing device 1 includes edge data acquisition unit 11, edge calculations gateway 12 and GPS time service unit 13.
The quantity of edge data acquisition unit 11 is that at least two, Fig. 1 gives the embodiment comprising three, each edge
Data acquisition unit 11 is respectively arranged on each setting node of wind power plant collection electric line, acquires the electrical number of each node
According to.Edge calculations gateway 12 and GPS time service unit 13 respectively with each 11 connection communication of edge data acquisition unit.
It, will after the data acquisition that each edge data acquisition unit 11 synchronizes under the time service of GPS time service unit 13
Data are sent to edge calculations gateway 12, and edge calculations gateway 12 judges whether to generate thunder according to each data of the synchronous acquisition
Ground fault is hit, the company after determining generation lightning stroke ground fault according to each edge data acquisition unit 11 in collection electric line
Connect the generation place of relationship judgement lightning stroke ground fault.
A kind of wind power plant collection electric line lightning stroke ground fault detection system provided by the invention, in wind power plant collection electric line
Edge data acquisition unit is set on each node, and keeps each edge data acquisition unit same by GPS time service unit time service
The electric data of step acquisition collection electric line, can be after determining generation lightning stroke ground fault according to each edge data acquisition unit
The generation area of connection relationship judgement lightning stroke ground fault in collection electric line.The infield of edge data acquisition unit can
To carry out unified planning setting, identical voltage level sum aggregate electric line according to the wind power plant of the different voltages rank difference mode of connection
The data of the wind power plant of the mode of connection can be compared and analyzed preferably.
Embodiment 1
Embodiment 1 provided by the invention is a kind of wind power plant collection electric line lightning stroke ground fault detection system provided by the invention
The embodiment of system is illustrated in figure 2 a kind of cloud platform data wind power plant collection electric line lightning stroke ground fault prison provided by the invention
The structural block diagram of the embodiment of examining system is illustrated in figure 3 a kind of cloud platform data wind power plant collection electric line provided by the invention
The work flow diagram of the embodiment for ground fault detection system of being struck by lightning, Fig. 2 and Fig. 3 are it is found that the system includes: by Internet of Things Netcom
Believe edge calculations device 1, IOT (The Internet of Things, Internet of Things) cloud platform 2 and the user terminal 3 of connection.
Edge calculations device 1 includes edge data acquisition unit 11, edge calculations gateway 12 and GPS time service unit 13.
The quantity of edge data acquisition unit 11 is at least two, is respectively arranged at each setting of wind power plant collection electric line
On node, the node can for the output point of each group Wind turbines, the tie point of each group Wind turbines, substation input point with
And output point of substation etc..
Specifically, edge data acquisition unit 11 includes current transformer 111, electric field strength transducer[sensor 112 and low current
Power-supply circuit 113.
Current transformer 111 is used to acquire the current waveform of collection electric line, and electric field strength transducer[sensor 112 is for acquiring ground
Electric field strength, low current power-supply circuit 113 takes electricity as edge data acquisition unit 11 to provide electric energy from electric line is integrated.
Edge calculations gateway 12 includes analysis module 121, failure wave-recording module 122, wireless communication module 123 and battery
124。
The electricity of the collection electric line that analysis current transformer 111 and electric field strength transducer[sensor 112 acquire in real time of analysis module 121
Stream waveform and the electric field strength for acquiring ground judge whether to generate lightning stroke ground fault.
After analysis module 121 determines to generate lightning stroke ground fault, failure wave-recording module 122 collects electric wire before and after recording failure
The current waveform situation of change on road, module 123 is sent by wireless communication.
Failure wave-recording module 122 is the high speed failure wave-recording module that frequency is not less than 4kHZ.
Battery 124 is solar panel or the non-maintaining chargeable storage of 12V, provides electricity for edge calculations gateway 12
Energy.
Further, the current waveform and electric field for the collection electric line that analysis module 121 is acquired according to current transformer 111
When the electric field strength judgement on the ground that intensity sensor 112 acquires generates lightning stroke ground fault, failure wave-recording module 122 is recorded
Failure before and after the fault data of current waveform situation of change of collection electric line module 123 is sent by wireless communication, nothing
Line communication module 123 is sent the fault data to the data format of 101 or 104 agreements with GPRS/3G/4G communication network
IOT cloud platform 2.
The cloud services such as Kafka, Flink, Hadoop in the cloud environment of IOT cloud platform 2 construct big data platform, provide number
According to operation storage, calculate, the work of analysis.It specifically includes: according to the voltage level sum aggregate electric line mode of connection pair of wind power plant
Fault data is classified, by electric current before and after each node failure of the wind power plant of the same voltage level sum aggregate electric line mode of connection
The corresponding fault type of situation of change and failure generation area store after being matched.The fault type includes: single-phase connects
Ground and alternate ground short circuit etc..
When the wind power plant of the same voltage level sum aggregate electric line mode of connection is by lightning fault, the type wind power plant is obtained
Same position the acquisition of each edge data acquisition unit 11 fault data, i.e. curent change situation can carry out preferably
Comparative analysis, and the fault data and fault type are subjected to matching storage, which can be calculated knot by electric current
Confirm or modify on the spot through staff after fruit, the generation for obtaining the wind power plant of the voltage level sum aggregate electric line mode of connection is appointed
The curent change situation of each node when the failure of one type.
Subsequent, after the record fault data of failure wave-recording module 122 is sent to IOT cloud platform 2, IOT cloud platform 2 is according to edge
The fault data of the current waveform situation of change of collection electric line before and after the failure that computing device 1 is sent, judges that the edge calculations fill
Set type and the failure generation area of the lightning stroke ground fault of 1 place wind power plant generation.
In addition, the IOT cloud platform 2 actively can also send calling request of data, side to edge calculations device 1 according to demand
Edge computing device 1, which receives, to be sent to IOT cloud for the data that edge data acquisition unit 11 acquires after the calling request of data and puts down
Platform 2.
Type and failure of the IOT cloud platform 2 in the lightning stroke ground fault for determining the generation of 1 place wind power plant of edge calculations device
Behind generation area, the information of the type of the lightning stroke ground fault and failure generation area is pushed to the corresponding O&M of the wind power plant
The user terminal 3 of service personnel.O&M service personnel judges whether corresponding wind-powered electricity generation according to the type of the lightning stroke ground fault
It is overhauled the failure generation area of field.
User terminal 3 can be computer or mobile phone, which can be pushed away by way of short message, mail or APP
It send.
In actual use, O&M service personnel receives the fault type of wind power plant and failure generation area carries out on the spot
After maintenance, the difference for finding true fault type and failure generation area and receiving can carry out data in IOT cloud platform 2
The redjustment and modification of algorithm.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
- The ground fault detection system 1. a kind of wind power plant collection electric line is struck by lightning, which is characterized in that the system comprises edge calculations Device (1), the edge calculations device (1) include edge data acquisition unit (11), edge calculations gateway (12) and GPS time service Unit (13)；The quantity of the edge data acquisition unit (11) is at least two, is respectively arranged at each of the wind power plant collection electric line On a setting node, the electric data of each node is acquired；The edge calculations gateway (12) and the GPS time service unit (13) respectively with each edge data acquisition unit (11) connection communication；The data that each edge data acquisition unit (11) synchronizes under the time service of the GPS time service unit (13) are adopted After collection, the edge calculations gateway (12) is sent the data to, the edge calculations gateway (12) is according to each of synchronous acquisition Data judge whether to generate lightning stroke ground fault, according to each edge data after determining the generation lightning stroke ground fault Connection relationship of the acquisition unit (11) in the collection electric line judges the generation area of the lightning stroke ground fault.
- 2. system according to claim 1, which is characterized in that the node includes: the output point, each of each group Wind turbines Tie point, the input point of substation and the output point of substation of group Wind turbines.
- 3. system according to claim 1, which is characterized in that the edge data acquisition unit (11) includes Current Mutual Inductance Device (111) and electric field strength transducer[sensor (112)；The current transformer (111) is used to acquire the current waveform of collection electric line, and the electric field strength transducer[sensor (112) is used for Acquire the electric field strength on ground.
- 4. system according to claim 3, which is characterized in that the edge calculations gateway (12) includes analysis module (121), failure wave-recording module (122) and wireless communication module (123)；The analysis module (121) analyzes the electric current of the collection electric line of edge data acquisition unit (11) acquisition in real time The electric field strength on waveform and ground judges whether to generate the lightning stroke ground fault；After the analysis module (121) determine to generate the lightning stroke ground fault, failure wave-recording module (122) the record event Hinder data, module (123) sends the fault data by wireless communication；The fault data includes the current waveform situation of change of the collection electric line before and after failure.
- 5. system according to claim 1, which is characterized in that the edge data acquisition unit (11) includes that low current takes Circuit (113), it is the edge data acquisition unit that the low current power-supply circuit (113), which takes electricity from the collection electric line, (11) electric energy is provided；The edge calculations gateway (12) includes that the battery (124) of electric energy is provided for it.
- 6. system according to claim 4, which is characterized in that the system also includes IOT cloud platform (2)；The failure wave-recording module (122) records and is sent to IOT by the wireless communication module (123) after the fault data Cloud platform (2)；The IOT cloud platform (2) connects according to the voltage level sum aggregate electric line of wind power plant where the edge calculations device (11) Line mode classifies to the fault data, and the wind power plant of the same voltage level sum aggregate electric line mode of connection is each Curent change situation corresponding fault type and failure generation area store after being matched before and after node failure.
- 7. system according to claim 6, which is characterized in that the failure wave-recording module (122) records the number of faults After being sent to IOT cloud platform (2)；The IOT cloud platform (2) is according to the voltage level sum aggregate electric line of the wind power plant where the edge calculations device (11) The mode of connection and the fault data determine fault type and the failure generating region of the lightning fault that the wind power plant occurs Domain.
- 8. system according to claim 6, which is characterized in that the IOT cloud platform (2) is according to demand actively to the side Edge computing device (1) sends calling request of data；The edge calculations device (1) acquires the edge data acquisition unit (11) after receiving the calling request of data Data be sent to the IOT cloud platform (2).
- 9. system according to claim 7, which is characterized in that the system also includes communicate with the IOT cloud platform (2) The user terminal (3) of connection；The lightning stroke ground fault that the IOT cloud platform (2) wind power plant where determining the edge calculations device (1) generates Type and failure generation area after, the information of the type of the lightning stroke ground fault and failure generation area is pushed to described The user terminal (3) of the corresponding O&M service personnel of wind power plant.
- 10. system according to claim 9, which is characterized in that the user terminal (3) be computer or mobile phone, it is described Information is pushed by way of short message, mail or APP.
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| CN201910731815.XA CN110441655B (en) | 2019-08-08 | 2019-08-08 | Lightning grounding fault monitoring system for wind power plant current collecting line |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111178555A (en) * | 2019-12-24 | 2020-05-19 | 重庆特斯联智慧科技股份有限公司 | Community security equipment repair reporting method and system based on edge calculation |
| CN111257700A (en) * | 2020-03-31 | 2020-06-09 | 国网江苏省电力有限公司无锡供电分公司 | Power distribution network single-phase earth fault positioning device and method based on edge calculation |
| CN112749500A (en) * | 2021-01-11 | 2021-05-04 | 华能新能源股份有限公司 | Method for estimating lightning induction overvoltage of current collecting circuit of wind power plant in high-altitude mountain area |
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| CN113945807A (en) * | 2021-11-17 | 2022-01-18 | 国网江苏省电力有限公司盐城供电分公司 | Lightning stroke detection and positioning method for power transmission line |
| CN114219947A (en) * | 2021-11-18 | 2022-03-22 | 三峡大学 | Large-scale wind power plant output line pilot protection method based on edge detection |
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203192201U (en) * | 2013-02-01 | 2013-09-11 | 安徽工程大学 | Online monitoring system for high-voltage long-distance power transmission line |
| CN103501051A (en) * | 2011-12-04 | 2014-01-08 | 江苏省电力公司南京供电公司 | Fault handling platform for power distribution and consumption network |
| CN103995214A (en) * | 2014-04-15 | 2014-08-20 | 刘骐畅 | Overhead line intelligent fault positioning processing system and method thereof |
| CN106199330A (en) * | 2016-06-24 | 2016-12-07 | 国电南瑞南京控制***有限公司 | A kind of marine wind electric field collection line fault alignment system and method |
| CN106556766A (en) * | 2016-10-11 | 2017-04-05 | 国网上海市电力公司 | A kind of distribution network failure monitoring system based on distribution line multidate information |
| CN106771878A (en) * | 2017-01-11 | 2017-05-31 | 龙源（北京）风电工程技术有限公司 | A kind of monitoring method of wind power plant shaft tower thunderbolt drop point |
| CN106918762A (en) * | 2015-12-25 | 2017-07-04 | 中国电力科学研究院 | A kind of overhead transmission line thunderbolt current monitoring method and lightning fault recognition methods |
| CN107831701A (en) * | 2017-11-17 | 2018-03-23 | 广西电网有限责任公司防城港供电局 | A kind of positioning of lightning fault and identifying system |
| CN108493893A (en) * | 2018-04-13 | 2018-09-04 | 国网江西省电力有限公司电力科学研究院 | A kind of system reducing distribution line tripping times |
| CN108828409A (en) * | 2018-08-03 | 2018-11-16 | 南方电网科学研究院有限责任公司 | Fault detection system based on edge calculation |
| CN109638966A (en) * | 2018-12-28 | 2019-04-16 | 广州中光电气科技有限公司 | A kind of monitoring of arrester intelligent online, data remote visualization cloud platform system |
| CN109818763A (en) * | 2017-11-20 | 2019-05-28 | 北京绪水互联科技有限公司 | The real-time quality control method of analytic statistics methods and system and equipment and system of equipment fault |
| CN109828186A (en) * | 2019-03-06 | 2019-05-31 | 江苏和网源电气有限公司 | A kind of long-range Distribution Network Failure active forewarning system |
| CN209117754U (en) * | 2018-11-23 | 2019-07-16 | 国家电网有限公司 | A kind of power transmission line intelligent lightning monitoring system |
-
2019
- 2019-08-08 CN CN201910731815.XA patent/CN110441655B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103501051A (en) * | 2011-12-04 | 2014-01-08 | 江苏省电力公司南京供电公司 | Fault handling platform for power distribution and consumption network |
| CN203192201U (en) * | 2013-02-01 | 2013-09-11 | 安徽工程大学 | Online monitoring system for high-voltage long-distance power transmission line |
| CN103995214A (en) * | 2014-04-15 | 2014-08-20 | 刘骐畅 | Overhead line intelligent fault positioning processing system and method thereof |
| CN106918762A (en) * | 2015-12-25 | 2017-07-04 | 中国电力科学研究院 | A kind of overhead transmission line thunderbolt current monitoring method and lightning fault recognition methods |
| CN106199330A (en) * | 2016-06-24 | 2016-12-07 | 国电南瑞南京控制***有限公司 | A kind of marine wind electric field collection line fault alignment system and method |
| CN106556766A (en) * | 2016-10-11 | 2017-04-05 | 国网上海市电力公司 | A kind of distribution network failure monitoring system based on distribution line multidate information |
| CN106771878A (en) * | 2017-01-11 | 2017-05-31 | 龙源（北京）风电工程技术有限公司 | A kind of monitoring method of wind power plant shaft tower thunderbolt drop point |
| CN107831701A (en) * | 2017-11-17 | 2018-03-23 | 广西电网有限责任公司防城港供电局 | A kind of positioning of lightning fault and identifying system |
| CN109818763A (en) * | 2017-11-20 | 2019-05-28 | 北京绪水互联科技有限公司 | The real-time quality control method of analytic statistics methods and system and equipment and system of equipment fault |
| CN108493893A (en) * | 2018-04-13 | 2018-09-04 | 国网江西省电力有限公司电力科学研究院 | A kind of system reducing distribution line tripping times |
| CN108828409A (en) * | 2018-08-03 | 2018-11-16 | 南方电网科学研究院有限责任公司 | Fault detection system based on edge calculation |
| CN209117754U (en) * | 2018-11-23 | 2019-07-16 | 国家电网有限公司 | A kind of power transmission line intelligent lightning monitoring system |
| CN109638966A (en) * | 2018-12-28 | 2019-04-16 | 广州中光电气科技有限公司 | A kind of monitoring of arrester intelligent online, data remote visualization cloud platform system |
| CN109828186A (en) * | 2019-03-06 | 2019-05-31 | 江苏和网源电气有限公司 | A kind of long-range Distribution Network Failure active forewarning system |
Non-Patent Citations (2)
| Title |
|---|
| 张德昕等主编: "《城市轨道交通联锁设备维护》", 31 August 2016, 西南交通大学出版社 * |
| 李明亮 等著: "《配电网馈线故障辨识的优化技术》", 30 June 2017, 黄河水利出版社 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111178555A (en) * | 2019-12-24 | 2020-05-19 | 重庆特斯联智慧科技股份有限公司 | Community security equipment repair reporting method and system based on edge calculation |
| CN111257700A (en) * | 2020-03-31 | 2020-06-09 | 国网江苏省电力有限公司无锡供电分公司 | Power distribution network single-phase earth fault positioning device and method based on edge calculation |
| CN111257700B (en) * | 2020-03-31 | 2020-10-30 | 国网江苏省电力有限公司无锡供电分公司 | Power distribution network single-phase earth fault positioning device and method based on edge calculation |
| CN112749500A (en) * | 2021-01-11 | 2021-05-04 | 华能新能源股份有限公司 | Method for estimating lightning induction overvoltage of current collecting circuit of wind power plant in high-altitude mountain area |
| CN112749500B (en) * | 2021-01-11 | 2023-09-22 | 华能新能源股份有限公司 | Estimation method for lightning induction overvoltage of wind power plant collector line in high-altitude mountain area |
| CN113236505A (en) * | 2021-05-07 | 2021-08-10 | 北京壬工智能科技有限公司 | Fan thunder and lightning on-line monitoring system |
| CN113945807A (en) * | 2021-11-17 | 2022-01-18 | 国网江苏省电力有限公司盐城供电分公司 | Lightning stroke detection and positioning method for power transmission line |
| CN114219947A (en) * | 2021-11-18 | 2022-03-22 | 三峡大学 | Large-scale wind power plant output line pilot protection method based on edge detection |
| CN115514092A (en) * | 2022-10-09 | 2022-12-23 | 金陵科技学院 | Method for realizing rapid analysis and processing of low-voltage distribution fault |
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