CN102646150A - Lightning stroke link risk judging method based on thunder and lightning information - Google Patents
Lightning stroke link risk judging method based on thunder and lightning information Download PDFInfo
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- CN102646150A CN102646150A CN2011100406346A CN201110040634A CN102646150A CN 102646150 A CN102646150 A CN 102646150A CN 2011100406346 A CN2011100406346 A CN 2011100406346A CN 201110040634 A CN201110040634 A CN 201110040634A CN 102646150 A CN102646150 A CN 102646150A
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Abstract
The invention relates to a lightning stroke link risk judging method based on thunder and lightning information, which comprises the following steps of: 1, establishing a thunder and lightning statistic buffer zone, and establishing five buffer zones in parallel with a line; 2, counting a ground lightning density of each buffer zone, and counting and sequencing by sections; and 3, forecasting a data flow. According to the lightning stroke link risk judging method based on the thunder and lightning information, on the basis of near real-time data provided by a thunder and lightning locating system, calculation and analysis are carried out according to the condition of ground lightning around the line, then grading is carried out according to the distance between the ground lightning zone and the line and the ground lightning density, and the lightning stroke link risk degree of the influenced line can be given according to the required prediction time.
Description
Technical field
The present invention relates to fields such as thunder and lightning observation technology, early warning technology, be specifically related to a kind of thunderbolt circuit risk determination methods based on thunder and lightning positioning information.
Background technology
Because circuit on power system distributes wide, receive the influence of damage to crops caused by thunder easily at thunderstorm season, the thunder and lightning location can provide lightning monitoring quasi real time at present, utilizes this information to implement early warning to the circuit thunderbolt.
Along with the raising of power system development and circuit level, damage to crops caused by thunder shared ratio in the circuit fault trip improves day by day.The East China Power Grid lightning location system has put into operation for many years, has accumulated a large amount of zone, East China lightening activity situation data.On this basis, drawn East China Power Grid thunder and lightning density map to instruct the lightning Protection Design of transmission line of electricity.Utilizing the lightning location system data to carry out circuit thunderbolt risk profile then is that this project is attempted the work carried out first.
In view of this, seek a kind of thunderbolt circuit risk determination methods and become pursuing one's goal of these those skilled in the art based on thunder and lightning positioning information.
Summary of the invention
Task of the present invention provides a kind of thunderbolt circuit risk determination methods based on thunder and lightning positioning information; It has overcome the difficulty of prior art; The quasi real time data that provide based on lightning location system; Situation according to circuit periphery thunderbolt is carried out computational analysis, carries out classification according to the thunderbolt zone to the distance of circuit and the density of thunderbolt then, can predicted time on request provides the lightning stroke trip degree of risk of influenced circuit.
Technical solution of the present invention is following:
A kind of thunderbolt circuit risk determination methods based on thunder and lightning positioning information may further comprise the steps:
(1) sets up thunder and lightning statistics buffer zone;
Concrete steps are: be parallel to circuit and set up five buffer zones; Draw the zone that the thunder buffer zone draws the thunder width for the circuit both sides, get 200m; First buffer zone draws the zone in the 10km scope outside the thunder buffer zone edge for the circuit both sides; Second buffer zone is the zone in the 10km scope outside the first buffer zone edge, circuit both sides; The 3rd buffer zone is the zone in the 10km scope outside the second buffer zone edge, circuit both sides; The 4th buffer zone is the zone in the 10km scope outside the 3rd buffer zone edge, circuit both sides;
(2) the thunderbolt Statistics of Density of each buffer zone;
Concrete steps are: divide the ordering of section statistics; According to thunderbolt data quasi real time, add up the thunderbolt density of each buffer field in 1 hour, the thunderbolt density of different segmentations in the same circuit buffer zone is sorted, high density is as the thunder and lightning density of this this buffer zone of circuit;
(3) data flow of forecast.
Said step (1) is further comprising the steps of: perpendicular to line direction buffer zone is carried out segmentation, direction about 20km in road along the line is one section, and the area of each statistical regions is about 400km
2For short-term road, completely as a buffer zone less than 36km.
Said step (2) is further comprising the steps of: the Timing Advance of confirming circuit thunderbolt risk set; The thunderbolt density rating of each circuit first buffer zone will be as circuit thunder and lightning risk class after 15 minutes; The thunderbolt density rating of each circuit second buffer zone will be as circuit thunder and lightning risk class after 30 minutes; The thunderbolt density rating of each circuit the 3rd buffer zone will be as circuit thunder and lightning risk class after 45 minutes; The thunderbolt density rating of each circuit the 4th buffer zone will be as circuit thunder and lightning risk class after 1 hour.
Said step (3) comprising: through quasi real time calculating, calculated once the thunderbolt density in each buffer zone of each bar circuit 1 hour in per 5 minutes, the classification of thunderbolt density by the hour provides the circuit risk sets of four forecast points, five grades in 1 hour.
Said step (3) also comprises step (4) afterwards: according to the thunderbolt density and the circuit situation of different regions, the circuit risk class is adjusted.
The present invention is owing to adopted above technical scheme; Make it compared with prior art; The quasi real time data that provide based on lightning location system based on the thunderbolt circuit risk determination methods of thunder and lightning positioning information of the present invention; Situation according to circuit periphery thunderbolt is carried out computational analysis, carries out classification according to the thunderbolt zone to the distance of circuit and the density of thunderbolt then, can predicted time on request provides the lightning stroke trip degree of risk of influenced circuit.
Description of drawings
Fig. 1 is the process flow diagram of a kind of thunderbolt circuit risk determination methods based on thunder and lightning positioning information of the present invention.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is elaborated.
Referring to Fig. 1, a kind of thunderbolt circuit risk determination methods based on thunder and lightning positioning information of the present invention may further comprise the steps:
(1) sets up thunder and lightning statistics buffer zone.Concrete steps are:
(11) be parallel to circuit and set up five buffer zones; Draw the zone that the thunder buffer zone draws the thunder width for the circuit both sides, get 200m; First buffer zone draws the zone in the 10km scope outside the thunder buffer zone edge for the circuit both sides; Second buffer zone is the zone in the 10km scope outside the first buffer zone edge, circuit both sides; The 3rd buffer zone is the zone in the 10km scope outside the second buffer zone edge, circuit both sides; The 4th buffer zone is the zone in the 10km scope outside the 3rd buffer zone edge, circuit both sides.
(12) perpendicular to line direction buffer zone is carried out segmentation, direction about 20km in road along the line is one section, and the area of each statistical regions is about 400km
2For short-term road, completely as a buffer zone less than 36km.
(2) the thunderbolt Statistics of Density of each buffer zone.Concrete steps are:
(21) divide the ordering of section statistics; According to thunderbolt data quasi real time, add up the thunderbolt density of each buffer field in 1 hour, the thunderbolt density of different segmentations in the same circuit buffer zone is sorted, high density is as the thunder and lightning density of this this buffer zone of circuit.
(22) confirm the Timing Advance of circuit thunderbolt risk set; The thunderbolt density rating of each circuit first buffer zone will be as circuit thunder and lightning risk class after 15 minutes; The thunderbolt density rating of each circuit second buffer zone will be as circuit thunder and lightning risk class after 30 minutes; The thunderbolt density rating of each circuit the 3rd buffer zone will be as circuit thunder and lightning risk class after 45 minutes; The thunderbolt density rating of each circuit the 4th buffer zone will be as circuit thunder and lightning risk class after 1 hour.
(3) data flow of forecast.
Through quasi real time calculating, calculated once the thunderbolt density in each buffer zone of each bar circuit 1 hour in per 5 minutes, the classification of thunderbolt density by the hour provides the circuit risk sets of four forecast points, five grades in 1 hour.
(4) according to the thunderbolt density and the circuit situation of different regions, the circuit risk class is adjusted.
Specific embodiment of the present invention is following:
Imagine per 5 minutes and carry out once 500kV circuit corridor, preceding 1 hour appointed area lightening activity situation statistics, according to each circuit corridor thunderbolt density, the thunderstruck risk of analysis circuit provides the thunderbolt risk equipment collection of per 5 minutes time points in back 1 hour.
1, sets up thunder and lightning statistics buffer zone
Thunderbolt means that promptly circuit has thunderstruck risk in the circuit corridor, and thunderbolt risk more at most is big more.Because the motion of thundercloud, thunderbolt point is apart from the distance reflection thunderbolt circuit difference in time of circuit.Therefore consider that the subregion segmentation carries out circuit corridor thunderbolt statistics.
1) be parallel to circuit and set up 5 buffer zones:
Draw the zone that the thunder buffer zone draws the thunder width for the circuit both sides, get 200m;
First buffer zone draws the zone in the 10km scope outside the thunder buffer zone edge for the circuit both sides;
Second buffer zone is the zone in the 10km scope outside the first buffer zone edge, circuit both sides;
The 3rd buffer zone is the zone in the 10km scope outside the second buffer zone edge, circuit both sides;
The 4th buffer zone is the zone in the 10km scope outside the 3rd buffer zone edge, circuit both sides.
2) perpendicular to line direction buffer zone is carried out segmentation, the segmentation principle is following:
Buffer zone should not be divided too small, consider that the road along the line about 20km of direction is one section, thereby the area that can guarantee each statistical regions is about 400km
2
For short-term road (< 36km),, guarantee not have fragmentary tiny area completely as a buffer zone.
2, the thunderbolt Statistics of Density of each buffer zone
1) divide the ordering of section statistics:
According to thunderbolt data quasi real time, add up the thunderbolt density of each buffer field in 1 hour.Thunderbolt density to different segmentations in the same circuit buffer zone sorts, and high density is as the thunder and lightning density of this this buffer zone of circuit.
2) confirm the Timing Advance of circuit thunderbolt risk set:
The thunderbolt density rating of each circuit first buffer zone will be as circuit thunder and lightning risk class after 15 minutes.
The thunderbolt density rating of each circuit second buffer zone will be as circuit thunder and lightning risk class after 30 minutes.
The thunderbolt density rating of each circuit the 3rd buffer zone will be as circuit thunder and lightning risk class after 45 minutes.
The thunderbolt density rating of each circuit the 4th buffer zone will be as 1 hour (60 minutes) back circuit thunder and lightning risk class.
3, the data flow of forecast
Through quasi real time calculating the thunderbolt density in (calculating once in per 5 minutes) each buffer zone of each bar circuit 1 hour, the classification of thunderbolt density by the hour can provide (4 forecast points) in 1 hour the circuit risk set of 5 grades.
According to the thunderbolt density and the circuit situation of different regions, can adjust the circuit risk class.
To sum up can know; The quasi real time data that provide based on lightning location system based on the thunderbolt circuit risk determination methods of thunder and lightning positioning information of the present invention; Situation according to circuit periphery thunderbolt is carried out computational analysis; Carry out classification according to thunderbolt zone to the distance of circuit and the density of thunderbolt then, can predicted time on request provide the lightning stroke trip degree of risk of influenced circuit.
Certainly; Those skilled in the art in the present technique field will be appreciated that; The foregoing description only is to be used for explaining the present invention; And be not with opposing qualification of the present invention, as long as in connotation scope of the present invention, all will drop in the scope of claim of the present invention the variation of the foregoing description, modification etc.
Claims (5)
1. thunderbolt circuit risk determination methods based on thunder and lightning positioning information is characterized in that: may further comprise the steps:
(1) sets up thunder and lightning statistics buffer zone;
Concrete steps are: be parallel to circuit and set up five buffer zones; Draw the zone that the thunder buffer zone draws the thunder width for the circuit both sides, get 200m; First buffer zone draws the zone in the 10km scope outside the thunder buffer zone edge for the circuit both sides; Second buffer zone is the zone in the 10km scope outside the first buffer zone edge, circuit both sides; The 3rd buffer zone is the zone in the 10km scope outside the second buffer zone edge, circuit both sides; The 4th buffer zone is the zone in the 10km scope outside the 3rd buffer zone edge, circuit both sides;
(2) the thunderbolt Statistics of Density of each buffer zone;
Concrete steps are: divide the ordering of section statistics; According to thunderbolt data quasi real time, add up the thunderbolt density of each buffer field in 1 hour, the thunderbolt density of different segmentations in the same circuit buffer zone is sorted, high density is as the thunder and lightning density of this this buffer zone of circuit;
(3) data flow of forecast.
2. the thunderbolt circuit risk determination methods based on thunder and lightning positioning information as claimed in claim 1 is characterized in that said step (1) is further comprising the steps of:
Perpendicular to line direction buffer zone is carried out segmentation, direction about 20km in road along the line is one section, and the area of each statistical regions is about 400km
2For short-term road, completely as a buffer zone less than 36km.
3. the thunderbolt circuit risk determination methods based on thunder and lightning positioning information as claimed in claim 1 is characterized in that said step (2) is further comprising the steps of:
Confirm the Timing Advance of circuit thunderbolt risk set; The thunderbolt density rating of each circuit first buffer zone will be as circuit thunder and lightning risk class after 15 minutes; The thunderbolt density rating of each circuit second buffer zone will be as circuit thunder and lightning risk class after 30 minutes; The thunderbolt density rating of each circuit the 3rd buffer zone will be as circuit thunder and lightning risk class after 45 minutes; The thunderbolt density rating of each circuit the 4th buffer zone will be as circuit thunder and lightning risk class after 1 hour.
4. the thunderbolt circuit risk determination methods based on thunder and lightning positioning information as claimed in claim 1; It is characterized in that; Said step (3) comprising: through quasi real time calculating; Calculated once the thunderbolt density in each buffer zone of each bar circuit 1 hour in per 5 minutes, the classification of thunderbolt density by the hour provides the circuit risk sets of four forecast points, five grades in 1 hour.
5. the thunderbolt circuit risk determination methods based on thunder and lightning positioning information as claimed in claim 1; It is characterized in that: said step (3) also comprises step (4) afterwards: according to the thunderbolt density and the circuit situation of different regions, the circuit risk class is adjusted.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103399233A (en) * | 2013-07-31 | 2013-11-20 | 国家电网公司 | Lightning trip-out risk prediction method for power transmission line |
| CN103543386A (en) * | 2013-10-16 | 2014-01-29 | 清华大学 | Lightning strike positioning method of power transmission line |
| CN104050376A (en) * | 2014-06-23 | 2014-09-17 | 海南电力技术研究院 | Transmission line thunder leading width calculating method based on actually measured lightning stroke data |
| CN105610115A (en) * | 2015-12-25 | 2016-05-25 | 陈凤 | Active lightning protection method based on statistical characteristics of historical lightning movement tracks |
| CN105606904A (en) * | 2015-10-31 | 2016-05-25 | 国网山东莒县供电公司 | Striking point determining method |
| CN106771847A (en) * | 2016-11-21 | 2017-05-31 | 国网福建省电力有限公司厦门供电公司 | A kind of 35kV power distribution networks transmission line lightning stroke Risk Forecast Method |
| CN107045669A (en) * | 2017-03-16 | 2017-08-15 | 武汉水院电气有限责任公司 | Distribution line damage to crops caused by thunder methods of risk assessment based on compartmentalization |
| CN107271795A (en) * | 2017-07-26 | 2017-10-20 | 国网江苏省电力公司苏州供电公司 | Suitable for the Lightning Warning method of power distribution network |
| CN109670229A (en) * | 2018-12-12 | 2019-04-23 | 西南交通大学 | The evaluation method of ground lightning strike density near elevated bridge of high speed railway contact net system |
| CN110850185A (en) * | 2019-12-02 | 2020-02-28 | 象辑知源（武汉）科技有限公司 | Lightning forecasting method based on power transmission line |
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103399233A (en) * | 2013-07-31 | 2013-11-20 | 国家电网公司 | Lightning trip-out risk prediction method for power transmission line |
| CN103543386A (en) * | 2013-10-16 | 2014-01-29 | 清华大学 | Lightning strike positioning method of power transmission line |
| CN103543386B (en) * | 2013-10-16 | 2015-12-09 | 清华大学 | A kind of thunderbolt localization method of transmission line of electricity |
| CN104050376A (en) * | 2014-06-23 | 2014-09-17 | 海南电力技术研究院 | Transmission line thunder leading width calculating method based on actually measured lightning stroke data |
| CN104050376B (en) * | 2014-06-23 | 2017-05-17 | 海南电力技术研究院 | Transmission line thunder leading width calculating method based on actually measured lightning stroke data |
| CN105606904B (en) * | 2015-10-31 | 2020-03-17 | 国网山东莒县供电公司 | Method for determining flash point |
| CN105606904A (en) * | 2015-10-31 | 2016-05-25 | 国网山东莒县供电公司 | Striking point determining method |
| CN105610115A (en) * | 2015-12-25 | 2016-05-25 | 陈凤 | Active lightning protection method based on statistical characteristics of historical lightning movement tracks |
| CN105610115B (en) * | 2015-12-25 | 2017-03-29 | 陈凤 | Active lightening arresting method based on history thunder and lightning motion track statistical property |
| CN106771847A (en) * | 2016-11-21 | 2017-05-31 | 国网福建省电力有限公司厦门供电公司 | A kind of 35kV power distribution networks transmission line lightning stroke Risk Forecast Method |
| CN106771847B (en) * | 2016-11-21 | 2019-08-06 | 国网福建省电力有限公司厦门供电公司 | A kind of 35kV distribution network transmission line thunderbolt risk prediction technique |
| CN107045669A (en) * | 2017-03-16 | 2017-08-15 | 武汉水院电气有限责任公司 | Distribution line damage to crops caused by thunder methods of risk assessment based on compartmentalization |
| CN107045669B (en) * | 2017-03-16 | 2020-10-02 | 武汉水院电气有限责任公司 | Distribution line lightning damage risk assessment method based on regionalization |
| CN107271795A (en) * | 2017-07-26 | 2017-10-20 | 国网江苏省电力公司苏州供电公司 | Suitable for the Lightning Warning method of power distribution network |
| CN107271795B (en) * | 2017-07-26 | 2019-03-08 | 国网江苏省电力公司苏州供电公司 | Lightning Warning method suitable for power distribution network |
| CN109670229A (en) * | 2018-12-12 | 2019-04-23 | 西南交通大学 | The evaluation method of ground lightning strike density near elevated bridge of high speed railway contact net system |
| CN109670229B (en) * | 2018-12-12 | 2022-07-22 | 西南交通大学 | Method for estimating ground lightning falling density near overhead bridge overhead contact system of high-speed railway |
| CN110850185A (en) * | 2019-12-02 | 2020-02-28 | 象辑知源（武汉）科技有限公司 | Lightning forecasting method based on power transmission line |
| CN110850185B (en) * | 2019-12-02 | 2021-09-24 | 象辑知源（武汉）科技有限公司 | Lightning forecasting method based on power transmission line |
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Application publication date: 20120822 |