CN103246936A - System and method for pre-warning of typhoon risks of overhead transmission lines of grid - Google Patents

System and method for pre-warning of typhoon risks of overhead transmission lines of grid Download PDF

Info

Publication number
CN103246936A
CN103246936A CN2013101466983A CN201310146698A CN103246936A CN 103246936 A CN103246936 A CN 103246936A CN 2013101466983 A CN2013101466983 A CN 2013101466983A CN 201310146698 A CN201310146698 A CN 201310146698A CN 103246936 A CN103246936 A CN 103246936A
Authority
CN
China
Prior art keywords
typhoon
warning
wind speed
grid
risk
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2013101466983A
Other languages
Chinese (zh)
Inventor
方嵩
方丽华
彭嵩
熊小伏
沈智健
彭兴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical Zhongshan Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority to CN2013101466983A priority Critical patent/CN103246936A/en
Publication of CN103246936A publication Critical patent/CN103246936A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Alarm Systems (AREA)

Abstract

A system for pre-warning of typhoon risks of overhead transmission lines of a grid comprises a typhoon live information presentation module and a typhoon forecasting information module, wherein the typhoon live information presentation module and the typhoon forecasting information module are externally connected with a weather bureau through a data private network provided with firewalls respectively; relevant data coming from the weather bureau are received when a typhoon crosses a 24-hour warning line of a sea; the used data are selected and calculated by the typhoon forecasting information module, and are calculated by a pre-warning data analysis module; and finally, the data are transmitted to a typhoon risk pre-warning module of the grid for comprehensive data processing, and a risk line set and pre-warning grades of the risk line set are output to the presentation module through judgment of the comparison between the wind speed and the designed wind speed. The invention further comprises a method for pre-warning of typhoon risks of overhead transmission lines of the grid by using the system. The system and the method are applicable to an electrical power system universally, in particular, power transmission and distribution networks in coastal areas, so that capacity of the grid for adapting to meteorological disasters which occur frequently day by day is improved; the trip-out rate of lines under a typhoon environment is reduced, and the safe and stable power supply of power transmission and distribution line channels is guaranteed.

Description

The system and method for electrical network overhead transmission line typhoon Risk-warning
Technical field
The present invention relates to a kind of system of electrical network overhead transmission line typhoon Risk-warning.The invention still further relates to and adopt described system to carry out the method for electrical network overhead transmission line typhoon Risk-warning.
Background technology
The overhead transmission line power supply capacity is big, and distributed points is many and wide, is subject to disaster influences such as typhoon, in case it is outage might influence the stability of electrical network framework, the most serious even will cause the electric grid large area power cut accident, national economy is produced serious impact, and consequence is hardly imaginable.Large-scale electrical network is successfully controlled in how effectively disaster such as pre-typhoon protection influence that electrical network is caused, guarantees its safe operation, is the targets that the operation of power networks personnel constantly make great efforts and explore.
Yet the season that typhoon occurs is generally all during meeting the kurtosis summer, transmission line of electricity mostly is heavy-duty service, if typhoon is failed to carry out in advance wind resistance preparation and draught exclusion device and is caused the wire breaking and tower falling fault temporarily, this not only powers the range of influence, and cause electrical network vibration even off-the-line easily, bring bigger harm for the safe operation of whole electrical network.
Therefore, grasp detailed weather prognosis data, set up the typhoon early warning system of science and apply imperative.Typhoon comes interim if can warn the overhead line structures that the operation of power networks personnel are subjected to typhoon influence, for the electrical network management and running of taking precautions against natural calamities provide technical support and the information-based aid decision making platform of science, make the related personnel can carry out typhoon protection measure, formulation emergency preplan, the black startup plan of preparation electrical network of electrical network in advance, set up fast quick-recovery and re-establishment mechanism after the calamity, just the influence of typhoon disaster can be reduced to minimum.
From the documents and materials that find at present, the disaster analysis aspect that relevant typhoon causes electric system, Chinese scholars is many to the research of transmission line of electricity.Research points out, the main cause that typhoon disaster appears in domestic electrical network is that the wind force proofing design standard of electric power line pole tower is on the low side, has certain gap with international most advanced level.But, comparatively speaking about typhoon defense technique aspect, particularly the research of typhoon early warning just seldom, from whole grid company system, Fujian Province Utilities Electric Co. combining geographic information (GIS) data have been set up typhoon information acquisition and surveillance, can inquire about the grid equipment situation in the big solar or lunar halo scope; East China Power Grid company inserts supervision and system of defense with typhoon forecast and live information, realize integrated, the visual presentation of typhoon information and electric network information, and dope the typhoon risk equipment collection that can be used for generating forecast failure collection in conjunction with the geographic factor of transmission line of electricity.In addition, the operations staff of part Utilities Electric Co. adjusts the method for operation by rule of thumb to reduce the line tripping rate after the geographic factor manual analysis to typhoon forecast information and transmission line of electricity.By to the researching and analysing of above-mentioned only several electrical network typhoon early warning technologies, draw and exist following problem in the existing electrical network typhoon Risk-warning technology:
1) still has the place in the manual analysis of carrying out typhoon disaster and judgement, consider that artificial decision influence factor is more and consequence is serious, ought to carry out the Computer Analysis operation of system specifications.
2) analysis that has is one or two definite value with the design wind speed unification of all overhead transmission lines, and this and actual conditions disagree, and can influence last result of determination.
3) existing electrical network typhoon Risk-warning technology and reckon without the actual conditions of transmission line of electricity and the influence of historical experience etc., and only be theoretical analysis and judgement.
Summary of the invention
First technical matters that the present invention will solve just provides a kind of system of electrical network overhead transmission line typhoon Risk-warning.
Second technical matters that the present invention will solve just provides and adopts said system to carry out the method for electrical network overhead transmission line typhoon Risk-warning.
System and method of the present invention, overcome the problems such as actual conditions that prior art is not enough to the utilization of transmission line of electricity design wind speed and do not take into full account territory of use of system transmission line of electricity, realization is to the computing voluntarily of the related datas such as location parameter of typhoon forecast information and transmission line of electricity, and can export the typhoon disaster venture analysis result of the transmission line of electricity of region.
Solve above-mentioned first technical matters, the technical solution used in the present invention is:
A kind of system of electrical network overhead transmission line typhoon Risk-warning, it is characterized in that: comprise the live information display module of typhoon, the typhoon forecast information module, electrical network typhoon Risk-warning module and early warning data analysis module, the live information display module of described typhoon and typhoon forecast information module are by being provided with the external weather bureau of the data private network server of fire wall, when having typhoon to cross the 24 hours warning lines in ocean, begin to receive the related data from weather bureau automatically, the typhoon forecast information module is selected and is calculated used data, calculate via the early warning data analysis module, transport to electrical network typhoon Risk-warning module at last and carry out the comparison that wind speed and design wind speed were handled and passed through to judge to aggregation of data, output early warning result-risk sets of lines and advanced warning grade thereof are given display module; Described early warning data analysis module is also imported the information of physical fault circuit and shaft tower, and the early warning result also regularly feeds back to electrical network typhoon Risk-warning module from normal moveout correction.
Described live information comprises: the latitude and longitude coordinates of center of typhoon position, center wind-force, survey each solar or lunar halo radius;
Described forecast information comprises: the typhoon forecast path of 24h, 48h, 72h, the center longitude that detects a typhoon with and 7 grades and storm circle prediction radius;
The live information display module of described typhoon and typhoon forecast information module two modules are externally connected with display screen also, possesses the information display function, intuitive and convenient: to typhoon live telecast, typhoon forecast information, can show also possess based on the GIS background map simultaneously, be aided with the effect of visualization figure Presentation Function of curve map and the explanation of Pop-up text box with the form of list data; And such information module also provides historical typhoon tabulation and dynamic graphical inquiry display function thereof to the typhoon historical information.
The information of forecasting of the typhoon weather characteristics parameter that described typhoon Risk-warning module provides according to observatory's (station) radar adopts linear interpolation method counting period observation station t moment point, and every interval steps is t 0Detect a typhoon center longitude and prediction storm circle radius thereof; Calculate all grid element center that include transmission line of electricity again to the distance of each t moment point center of typhoon, will be defined as to be subjected to the typhoon influence grid to gather apart from the grid smaller or equal to this moment point typhoon forecast storm circle radius; The typhoon wind speed that each grid element center point bears at each t constantly in the set of computations then, and with its typhoon wind speed that bears constantly at each t as circuit in the grid; The last design wind speed of respective lines being made adjustment in conjunction with the actual conditions of transmission line of electricity obtains judging wind speed, typhoon wind speed and this judgement wind speed that circuit bears made comparisons, and then definite advanced warning grade and demonstration.
Further, described early warning data analysis module is the outer system database that is associated with also, the early warning data analysis module is searched for calculative data in the electrical network typhoon Risk-warning module, is calculated in database, and will calculate gained and deposit in the database, be passed to typhoon Risk-warning module and carry out overall treatment; Simultaneously, this module also is responsible for zero offset capability: according to the comparative analysis of the typhoon excessive risk circuit of predicting and actual tripping operation or broken string circuit, system will suitably regulate the judgement interval of advanced warning grade automatically.
The present invention adopts said system to carry out the method for electrical network overhead transmission line typhoon Risk-warning, may further comprise the steps:
1) when typhoon is crossed the 24 hours warning lines in ocean, said system starts; Weather bureau's server provides real-time typhoon forecast data, comprise the center of typhoon position latitude and longitude coordinates, center wind-force, survey typhoon relevant information such as each solar or lunar halo radius, upgrade issue once every 1h; The typhoon forecast path that 24h, 48h and 72h be provided with and 7 grades, storm circle prediction radius, these data are upgraded every 3h and are proofreaied and correct once;
2) electrical network overhead transmission line region is divided into the grid of 1km * 1km, and with the line information input system database that comprises in the latitude and longitude coordinates information of grid and the grid;
3) the typhoon forecast data of 24h, 48h and 72h are done following processing, determine that this zone is subjected to the bigger circuit of typhoon influence and corresponding advanced warning grade (with 24h typhoon forecast data instance, 48h, 72h in like manner can get):
1. with the center of typhoon position O of future position with its ten grades of (v 10〉=24.5m/s) solar or lunar halo radius R 10Make circle (maximum design wind speed of considering rules regulation 110KV and above circuit must be greater than 25m/s);
2. will predict the center of typhoon position O behind the 24h 24hForce 10 wind circle radius with its prediction
Figure BDA00003094610700031
Justify;
3. make the outside common tangent of two circles, and determine interval t is influenced by typhoon force 10 wind circle constantly circuit as follows:
A) according to O(x, y), R 10, v and O 24h(x 24h, y 24h),
Figure BDA00003094610700032
v 24hDetermine that (every interval steps was t after t constantly 0) center of typhoon position O tLongitude and latitude (x t, y t), and determine t approximate typhoon force 10 wind circle radius constantly according to linear interpolation method
Figure BDA00003094610700041
And typhoon wind speed v y(t=nt 0(n=1,2 ... m, mt 0≤ 24h)):
| OO t | = | OO 24 h | 24 h t y t = y + | OO t | | OO 24 h | ( y 24 h - y ) x t = x + | OO t | | OO 24 h | cos ( y 24 h ) cos ( y t ) ( x 24 h - x ) - - - ( 1 )
R 10 t = R 10 24 h + | O t O 24 h | | OO 24 h | ( R 10 - R 10 24 h ) - - - ( 2 )
v t = v + v 24 h - v 24 h t - - - ( 3 ) ;
Wherein, t 0Can adjust as required;
Consider actual needs, the interval steps value is that the interval steps value is 1h in 10min, the 24h~72h in present 0~24h;
B) grid element center of judging all grids that include circuit is put each center of typhoon point O tApart from S with
Figure BDA00003094610700047
Between magnitude relationship: if greater than, think that then the overhead line structures in the grid are subjected to typhoon influence less, unlikely having an accident; If be less than or equal to, think that then the circuit in this grid is subjected to typhoon influence bigger at t constantly, the broken string risk is arranged, that is:
Figure BDA00003094610700045
Think that to be subjected to typhoon influence less, can not break down (4)
Figure BDA00003094610700046
Think that to be subjected to typhoon influence bigger, even broken string risk (5) is arranged
Wherein:
S=includes the grid element center of circuit and puts center of typhoon O tDistance (6);
To sum up can determine to be subjected in the 72h part of path set of typhoon influence to be the part of path that comprises in all grids that satisfy formula (5), and also can determine its affected time range according to above calculating simultaneously:
Suppose that certain part of path is at t 1~t 2Be influenced part of path in time period, and to establish future position be T constantly, then the influenced time period of this part of path is
T+t 1-t 0~T+t 2+t 0 (7)
Only need afterwards to determine that its advanced warning grade gets final product;
4. predict that wind speed calculates: obtain corresponding each t all affected grid (circuit) set constantly by previous step, adopt linear interpolation method to calculate each t prediction wind speed v at corresponding influenced grid element center place constantly again y, and with it prediction wind speed v that will bear constantly as its circuit prediction t that includes y
If a certain influenced grid, its central point are A, this grid element center is put corresponding center of typhoon O tDistance be S, can think that the wind speed at A point place is part of path t that this grid the includes prediction wind speed v that bears of back constantly y, adopt linear interpolation method to have:
v y = v t - v t - v 10 R 10 t S - - - ( 8 ) ;
Wherein, v 10=24.5m/s
Simultaneous formula (3), formula (5), formula (6) and formula (8) can obtain the prediction wind speed v that each t corresponding influenced part of path of the moment bears y
5. model based information correction:
Table 1 typhoon Risk-warning Back ground Information questionnaire
Figure BDA00003094610700052
With this Back ground Information questionnaire input system database, calculate by following adjustment principle according to above information again and judge wind speed v p:
If " A " or " not having " is with design wind speed value v 0Reduce 5% as judging wind speed v p
If " B " keeps design wind speed value v 0Constant as judging wind speed v p
If " C " or " having " is with design wind speed value v 0Increase by 5% as judging wind speed v p
Through after the above processing, enter the judgement that next step carries out advanced warning grade again;
6. advanced warning grade is divided: with the prediction air speed value v of circuit in each influenced grid yThe judgement air speed value v corresponding with it pCompare judgement, inscribe the advanced warning grade of corresponding influenced part of path in the time of can determining each t, the concrete division of each grade threshold value is as follows:
Table 2 advanced warning grade decision table
Figure BDA00003094610700061
7. deposit above-mentioned result of calculation in database, if there is the excessive risk circuit in the region, then the relevant information with this transmission line of electricity is presented at typhoon early warning list page, and provides corresponding advanced warning grade, and simultaneity factor is sent the early warning sound.
It should be noted that said process need recomputate with the renewal of typhoon forecast data, therefore, because the typhoon forecast data of this early warning system are upgraded once every 3h, above-mentioned flow process also is to calculate operation once every 3h;
4) the typhoon disaster early warning information is showed: live the same with forecast information with typhoon, the typhoon disaster early warning information can show with list data, also can with based on the GIS background map, be aided with the effect of visualization figure displaying of advanced warning grade and illustration.The list data form is more convenient, and design sketch is showed then visual pattern more, and two kinds of forms are in conjunction with believing the demand that can satisfy users.
Further, the above excessive risk early warning sets of lines of III level will appear in system of the present invention and method thereof and the physical fault sets of lines compares, according to " the false dismissed rate p that proposes 1" and " false alarm rate p 2" carry out regular system from normal moveout correction:
Figure BDA00003094610700062
Figure BDA00003094610700063
If p 1〉=α, then the threshold value with each advanced warning grade interval in the table 2 all reduces 0.01v pIf p 2〉=β, then the threshold value with each advanced warning grade interval in the table 2 all improves 0.01v pWherein, α and β all can adjust according to actual, temporarily are taken as 0.2.So allow system more and more accurate, tally with the actual situation more, make the native system portability higher.
The information of forecasting of the characteristic parameter of the typhoon meteorology that system of the present invention provides according to observatory's (station) radar, grasping the security concepts of " prevention ahead of time, control early ", by setting up typhoon early warning analysis model, COMPREHENSIVE CALCULATING is handled the related datas such as location parameter of typhoon forecast information and transmission line of electricity, provide the typhoon disaster venture analysis of region transmission line of electricity, realize the meteorological early warning of typhoon of science.
Compared to existing technology, the present invention has following advantage:
1) only needs to drop into a small amount of manpower and materials and finish preliminary work, just transfer to system by oneself afterwards, realize that the electrical network of scientific and efficient is to the Risk-warning of typhoon meteorology.
2) take full advantage of the actual conditions, historical experience etc. of the design wind speed of circuit and circuit, more conform to reality.
3) native system possesses self-correcting function, can regularly carry out the correction of parameter, to reach more preferably early warning effect according to the relatively difference of high-level early warning circuit and physical fault circuit in the past.
The present invention generally is applicable to electric system, and particularly the coastland transmission and distribution networks promotes the ability that electrical network adapts to increased meteorological disaster, reduces circuit trip-out rate under the typhoon environment, ensures the safety and stability power supply of transmission and distribution line paths.
Description of drawings
Fig. 1 is electrical network overhead transmission line typhoon method for prewarning risk process flow diagram of the present invention;
Fig. 2 is electrical network overhead transmission line typhoon Risk-warning systematic schematic diagram of the present invention;
Fig. 3 is that electrical network overhead transmission line typhoon Risk-warning is analyzed key diagram.
Embodiment
As shown in Figure 2, electrical network overhead transmission line typhoon Risk-warning of the present invention system comprises the live information display module of typhoon, typhoon forecast information module, electrical network typhoon Risk-warning module and early warning data analysis module.
The external weather bureau of data private network server by being provided with fire wall of the live information display module of typhoon and typhoon forecast information module, when having typhoon to cross the 24 hours warning lines in ocean, begin to receive the related data from weather bureau's server automatically, the typhoon forecast information module is selected and is calculated used data, calculates via the early warning data analysis module, transport to electrical network typhoon Risk-warning module at last and carry out the comparison that wind speed and design wind speed were handled and passed through to judge to aggregation of data, output early warning result-risk sets of lines and advanced warning grade thereof are given display module; The early warning data analysis module is also imported the information of physical fault circuit and shaft tower, and the early warning result also regularly feeds back to electrical network typhoon Risk-warning module from normal moveout correction.
Live information comprises: the latitude and longitude coordinates of center of typhoon position, center wind-force, survey each solar or lunar halo radius; Forecast information comprises: the typhoon forecast path of 24h, 48h, 72h, the center longitude that detects a typhoon with and 7 grades and storm circle prediction radius.
The live information display module of typhoon and typhoon forecast information module two modules are externally connected with display screen also, possesses the information display function, intuitive and convenient: to typhoon live telecast, typhoon forecast information, can show also possess based on the GIS background map simultaneously, be aided with the effect of visualization figure Presentation Function of curve map and the explanation of Pop-up text box with the form of list data; And such information module also provides historical typhoon tabulation and dynamic graphical inquiry display function thereof to the typhoon historical information.
The information of forecasting of the typhoon weather characteristics parameter that typhoon Risk-warning module provides according to observatory's (station) radar, (every interval steps is t to adopt linear interpolation method counting period observation station t moment point 0) detect a typhoon center longitude and prediction storm circle radius thereof; Calculate all grid element center that include transmission line of electricity again to the distance of each t moment point center of typhoon, will be defined as to be subjected to the typhoon influence grid to gather apart from the grid smaller or equal to this moment point typhoon forecast storm circle radius; The typhoon wind speed that each grid element center point bears at each t constantly in the set of computations then, and with its typhoon wind speed that bears constantly at each t as circuit in the grid; The last design wind speed of respective lines being made adjustment in conjunction with the actual conditions of transmission line of electricity obtains judging wind speed, typhoon wind speed and this judgement wind speed that circuit bears made comparisons, and then definite advanced warning grade and demonstration.
Further, the early warning data analysis module is the outer system database that is associated with also, the early warning data analysis module is searched for calculative data in the electrical network typhoon Risk-warning module, is calculated in database, and will calculate gained and deposit in the database, be passed to typhoon Risk-warning module and carry out overall treatment; Simultaneously, this module also is responsible for zero offset capability: according to the comparative analysis of the typhoon excessive risk circuit of predicting and actual tripping operation or broken string circuit, system will suitably regulate the judgement interval of advanced warning grade automatically.
Adopt method that said system carries out electrical network overhead transmission line typhoon Risk-warning as shown in Figure 1.
Urban district power supply administration at first need finish preliminary work, is about to the design wind speed v of each circuit 0, line tower foundation information investigation table (example is as follows) and the judgement wind speed v that calculates according to questionnaire pThe input system database:
Table 1, typhoon Risk-warning Back ground Information questionnaire
Figure BDA00003094610700081
Figure BDA00003094610700091
If " A " or " not having " is with design wind speed value v 0Reduce 5% as judging wind speed v p
If " B " keeps design wind speed value v 0Constant as judging wind speed v p
If " C " or " having " is with design wind speed value v 0Increase by 5% as judging wind speed v p
With the line information input system database that comprises in the latitude and longitude coordinates information of grid and the grid.
Above preliminary work is finished, and just by system of the present invention by oneself, its modularization principle specifically may further comprise the steps as shown in Figure 2 afterwards:
1, when typhoon was crossed the 24 hours warning lines in ocean, native system was started working.Weather bureau's server provides real-time typhoon data, its should comprise the center of typhoon position latitude and longitude coordinates, center wind-force, survey typhoon relevant information such as each solar or lunar halo radius, this information is upgraded issue once every 1h; The typhoon forecast path that 24h, 48h and 72h be provided with and 7 grades, storm circle prediction radius, these data are upgraded every 3h and are proofreaied and correct once.
2, electrical network overhead transmission line region is divided into the grid of 1km * 1km, and with the line information input system database that comprises in the latitude and longitude coordinates information of grid and the grid;
3, the typhoon forecast data of 24h, 48h and 72h are done following processing, determine that this urban district may be subjected to circuit and the corresponding advanced warning grade (with 24h typhoon forecast data instance, 48h and 72h in like manner can get) of typhoon influence:
1) with the center of typhoon position O of future position with its ten grades of (v 10〉=24.5m/s) solar or lunar halo radius R 10Make circle (maximum design wind speed of considering rules regulation 110KV and above circuit must be greater than 25m/s).
2) will predict center of typhoon position O behind the 24h 24hForce 10 wind circle radius with its prediction Justify.
3) remake the outside common tangent of two circles, and determine interval t is influenced by typhoon force 10 wind circle constantly circuit as follows, as shown in Figure 3:
A) according to O(x, y), R 10, v and O 24h(x 24h, y 24h),
Figure BDA00003094610700093
v 24hDetermine that (every interval steps was t after t constantly 0) center of typhoon position O tLongitude and latitude (x t, y t), and determine t approximate typhoon force 10 wind circle radius constantly according to linear interpolation method
Figure BDA00003094610700094
And typhoon wind speed v y(t=nt 0(n=1,2 ... m, mt 0≤ 24h)):
| OO t | = | OO 24 h | 24 h t y t = y + | OO t | | OO 24 h | ( y 24 h - y ) x t = x + | OO t | | OO 24 h | cos ( y 24 h ) cos ( y t ) ( x 24 h - x ) - - - ( 1 )
R 10 t = R 10 24 h + | O t O 24 h | | OO 24 h | ( R 10 - R 10 24 h ) - - - ( 2 )
v t = v + v 24 h - v 24 h t - - - ( 3 )
Wherein, t 0Can adjust as required.Consider actual needs, the interval steps value is that the interval steps value is 1h in 10min, the 24h~72h in present 0~24h.
B) grid element center of judging all grids that include circuit is put each center of typhoon point O tApart from S with
Figure BDA00003094610700104
Between magnitude relationship: if greater than, think that then the overhead line structures in the grid are subjected to typhoon influence less, unlikely having an accident; If smaller or equal to, think that then the circuit in this grid is subjected to typhoon influence bigger at t constantly, the broken string risk is arranged.That is:
Figure BDA00003094610700105
Think that to be subjected to typhoon influence less, can not break down (4)
Figure BDA00003094610700106
Think that to be subjected to typhoon influence bigger, even broken string risk (5) is arranged
Wherein:
S=includes the grid element center of circuit and puts center of typhoon O tDistance (6);
To sum up can determine to be subjected in the 72h part of path set of typhoon influence to be the part of path that comprises in all grids that satisfy formula (5), and also can determine its affected time range according to above calculating simultaneously:
Suppose that certain part of path is at t 1~t 2Be influenced part of path in time period, and to establish future position be T constantly, then the influenced time period of this part of path is
T+t 1-t 0~T+t 2+t 0 (7);
Only need afterwards to determine that its advanced warning grade gets final product;
4. predict that wind speed calculates: obtain corresponding each t all affected grid (circuit) set constantly by previous step, adopt linear interpolation method to calculate each t prediction wind speed v at corresponding influenced grid element center place constantly again y, and with it prediction wind speed v that will bear constantly as its circuit prediction t that includes y
If a certain influenced grid, its central point are A, this grid element center is put corresponding center of typhoon O tDistance be S, can think that the wind speed at A point place is part of path t that this grid the includes prediction wind speed v that bears of back constantly y, adopt linear interpolation method to have:
v y = v t - v t - v 10 R 10 t S - - - ( 8 )
Wherein, v 10=24.5m/s
In conjunction with Fig. 1, this moment S=|AO t|, v C=v 10=24.5m/s, then the prediction maximum wind velocity that bears of AB section is this A prediction wind speed of ordering constantly, obviously has:
v y = v A = v t - v t - v C R 10 t | AO t | - - - ( 9 )
To sum up can try to achieve the prediction wind speed v that each t corresponding influenced part of path of the moment bears very easily y
5) advanced warning grade is divided: according to the prediction air speed value v of each part of path yJudgement air speed value v with this part of path pCompare judgement, can determine the advanced warning grade inscribed when each part of path respectively influences t, each grade threshold value is concrete divide as follows:
Table 2 advanced warning grade decision table
Figure BDA00003094610700113
6) all deposit above-mentioned result of calculation in database, if there is the excessive risk circuit in the region, then the relevant information with this transmission line of electricity is presented at typhoon early warning list page, and provides corresponding advanced warning grade, and simultaneity factor is sent the early warning sound.
It should be noted that because the typhoon forecast data of this early warning system are upgraded once every 3h above-mentioned flow process also needs to calculate operation once every 3h.
3, the typhoon disaster early warning information is showed:
The information that the typhoon disaster early warning information comprises when showing with list data is as shown in the table:
Table 3 typhoon disaster early warning output information table
Figure BDA00003094610700121
Live the same with forecast information with typhoon, the typhoon disaster early warning information can show with list data, also can with based on the GIS background map, be aided with the effect of visualization figure displaying of advanced warning grade and illustration.The list data form is more convenient, and design sketch is showed then visual pattern more, and two kinds of forms are in conjunction with believing the demand that can satisfy users.
4, system is regularly from normal moveout correction:
System of the present invention compares III level above excessive risk early warning sets of lines and the actual sets of lines that breaks down that occurs, according to " the false dismissed rate p that proposes 1" and " false alarm rate p 2" carry out regular system from normal moveout correction:
Figure BDA00003094610700122
Figure BDA00003094610700123
If p 1〉=α, then the threshold value with each advanced warning grade interval in the table 2 all reduces 0.01v pIf p 2〉=β, then the threshold value with each advanced warning grade interval in the table 2 all improves 0.01v pWherein, α and β all can adjust according to actual, temporarily all are taken as 0.2.

Claims (4)

1. the system of an electrical network overhead transmission line typhoon Risk-warning, it is characterized in that: comprise the live information display module of typhoon, the typhoon forecast information module, electrical network typhoon Risk-warning module and early warning data analysis module, the live information display module of described typhoon and typhoon forecast information module are by being provided with the external weather bureau of the data private network server of fire wall, when having typhoon to cross the 24 hours warning lines in ocean, begin to receive the related data from weather bureau's server automatically, the typhoon forecast information module is selected and is calculated used data, calculate via the early warning data analysis module, transport to electrical network typhoon Risk-warning module at last and carry out the comparison that wind speed and design wind speed were handled and passed through to judge to aggregation of data, output early warning result-risk sets of lines and advanced warning grade thereof are given display module; Described early warning data analysis module is also imported the information of physical fault circuit and shaft tower, and the early warning result also regularly feeds back to electrical network typhoon Risk-warning module from normal moveout correction.
2. the system of electrical network overhead transmission line typhoon Risk-warning according to claim 1, it is characterized in that: the information of forecasting of the typhoon weather characteristics parameter that described typhoon Risk-warning module provides according to observatory's server, adopting linear interpolation method counting period observation station t moment point, every interval steps is t 0Detect a typhoon center longitude and prediction storm circle radius thereof; Calculate all grid element center that include transmission line of electricity again to the distance of each t moment point center of typhoon, will be defined as to be subjected to the typhoon influence grid to gather apart from the grid smaller or equal to this moment point typhoon forecast storm circle radius; The typhoon wind speed that each grid element center point bears at each t constantly in the set of computations then, and with its typhoon wind speed that bears constantly at each t as circuit in the grid; The last design wind speed of respective lines being made adjustment in conjunction with the actual conditions of transmission line of electricity obtains judging wind speed, typhoon wind speed and this judgement wind speed that circuit bears made comparisons, and then definite advanced warning grade and demonstration.
3. the system of electrical network overhead transmission line typhoon Risk-warning according to claim 1, it is characterized in that: described early warning data analysis module is the outer system database that is associated with also, the early warning data analysis module is searched for calculative data in the electrical network typhoon Risk-warning module, is calculated in database, and will calculate gained and deposit in the database, be passed to typhoon Risk-warning module and carry out overall treatment; Simultaneously, the early warning data analysis module also is responsible for zero offset capability: according to the comparative analysis of the typhoon excessive risk circuit of predicting and actual tripping operation or broken string circuit, system will suitably regulate the judgement interval of advanced warning grade automatically.
4. an employing such as the described any system of claim 1 to 3 carry out the method for electrical network overhead transmission line typhoon Risk-warning, may further comprise the steps:
1) when typhoon is crossed the 24 hours warning lines in ocean, start described system, weather bureau's server provides real-time typhoon forecast data, comprising: the latitude and longitude coordinates of center of typhoon position, center wind-force, survey each solar or lunar halo radius, upgrade issue once every 1h; The typhoon forecast path that 24h, 48h and 72h be provided with and 7 grades, storm circle prediction radius, these data are upgraded every 3h and are proofreaied and correct once;
2) electrical network overhead transmission line region is divided into the grid of 1km * 1km, and with the line information input system database that comprises in the latitude and longitude coordinates information of grid and the grid;
3) the typhoon forecast data of 24h, 48h and 72h are done following processing: determine that this zone is subjected to the bigger circuit of typhoon influence and corresponding advanced warning grade, with 24h typhoon forecast data instance, 48h, 72h in like manner can get below:
1. with the center of typhoon position O of future position with its ten grades of v 10The solar or lunar halo radius R of 〉=24.5m/s 10Justify;
2. will predict the center of typhoon position O behind the 24h 24hForce 10 wind circle radius with its prediction Justify;
3. make the outside common tangent of two circles, and determine interval t is influenced by typhoon force 10 wind circle constantly circuit as follows:
A) according to O(x, y), R 10, v and O 24h(x 24h, y 24h),
Figure FDA00003094610600027
, v 24hDetermine that back, every interval steps are t to t constantly 0Center of typhoon position O tLongitude and latitude (x t, y t), and determine t approximate typhoon force 10 wind circle radius constantly according to linear interpolation method And typhoon wind speed v y, t=nt 0(n=1,2Lm, mt 0≤ 24h):
| OO t | = | OO 24 h | 24 h t y t = y + | OO t | | OO 24 h | ( y 24 h - y ) x t = x + | OO t | | OO 24 h | cos ( y 24 h ) cos ( y t ) ( x 24 h - x ) - - - ( 1 )
R 10 t = R 10 24 h + | O t O 24 h | | OO 24 h | ( R 10 - R 10 24 h ) - - - ( 2 )
v t = v + v 24 h - v 24 h t - - - ( 3 ) ;
Wherein, t 0Can adjust as required: the interval steps value is that the interval steps value is 1h in 10min, the 24h~72h in 0~24h;
B) grid element center of judging all grids that include circuit is put each center of typhoon point O tApart from S with
Figure FDA00003094610600029
Between magnitude relationship: if greater than, think that then the overhead line structures in the grid are subjected to typhoon influence less, unlikely having an accident; If be less than or equal to, think that then the circuit in this grid is subjected to typhoon influence bigger at t constantly, the broken string risk is arranged, that is:
Figure FDA00003094610600024
Think that to be subjected to typhoon influence less, can not break down (4)
Figure FDA00003094610600025
Think that to be subjected to typhoon influence bigger, even broken string risk (5) is arranged
Wherein:
S=includes the grid element center of circuit and puts center of typhoon O tDistance (6);
To sum up can determine to be subjected in the 72h part of path set of typhoon influence to be the part of path that comprises in all grids that satisfy formula (5), and also can determine its affected time range according to above calculating simultaneously:
Suppose that certain part of path is at t 1~t 2Be influenced part of path in time period, and to establish future position be T constantly, then the influenced time period of this part of path is
T+t 1-t 0~T+t 2+t 0 (7);
Determine its advanced warning grade afterwards;
4. predict that wind speed calculates: obtain corresponding each t all affected grids, line set constantly by previous step, adopt linear interpolation method to calculate each t prediction wind speed v at corresponding influenced grid element center place constantly again y, and with it prediction wind speed v that will bear constantly as its circuit prediction t that includes y
If a certain influenced grid, its central point are A, this grid element center is put corresponding center of typhoon O tDistance be S, can think that the wind speed at A point place is part of path t that this grid the includes prediction wind speed v that bears of back constantly y, adopt linear interpolation method to have:
v y = v t - v t - v 10 R 10 t S - - - ( 8 ) ;
Wherein, v 10=24.5m/s
Simultaneous formula (3), formula (5), formula (6) and formula (8) can obtain the prediction wind speed v that each t corresponding influenced part of path of the moment bears y
5. model based information correction:
Table 1 typhoon Risk-warning Back ground Information questionnaire
Figure FDA00003094610600032
Figure FDA00003094610600041
With above-mentioned Back ground Information questionnaire input system database, calculate by following adjustment principle according to above information again and judge wind speed v p:
If " A " or " not having " is with design wind speed value v 0Reduce 5% as judging wind speed v p
If " B " keeps design wind speed value v 0Constant as judging wind speed v p
If " C " or " having " is with design wind speed value v 0Increase by 5% as judging wind speed v p
Through after the above processing, enter the judgement that next step carries out advanced warning grade again;
6. advanced warning grade is divided: with the prediction air speed value v of circuit in each influenced grid yThe judgement air speed value v corresponding with it pCompare judgement, inscribe the advanced warning grade of corresponding influenced part of path in the time of can determining each t, the concrete division of each grade threshold value is as follows:
Table 2 advanced warning grade decision table
Figure FDA00003094610600042
7. deposit above-mentioned result of calculation in system database, if there is the excessive risk circuit in the region, then the relevant information with this transmission line of electricity is presented at typhoon early warning list page, and provides corresponding advanced warning grade, and simultaneity factor is sent the early warning sound;
Above-mentioned flow process recomputates operation once every 3h;
4) the typhoon disaster early warning information is showed
The excessive risk early warning sets of lines and the physical fault sets of lines that occur more than the III level are compared, according to " the false dismissed rate p that proposes 1" and " false alarm rate p2 " carry out regular system from normal moveout correction:
Figure FDA00003094610600051
Figure FDA00003094610600052
If p 1〉=α, then the threshold value with each advanced warning grade interval in the table 2 all reduces 0.01v pIf p 2〉=β, then the threshold value with each advanced warning grade interval in the table 2 all improves 0.01v pWherein, α and β all can adjust according to actual, temporarily are taken as 0.2.
CN2013101466983A 2013-04-24 2013-04-24 System and method for pre-warning of typhoon risks of overhead transmission lines of grid Pending CN103246936A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2013101466983A CN103246936A (en) 2013-04-24 2013-04-24 System and method for pre-warning of typhoon risks of overhead transmission lines of grid

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2013101466983A CN103246936A (en) 2013-04-24 2013-04-24 System and method for pre-warning of typhoon risks of overhead transmission lines of grid

Publications (1)

Publication Number Publication Date
CN103246936A true CN103246936A (en) 2013-08-14

Family

ID=48926447

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2013101466983A Pending CN103246936A (en) 2013-04-24 2013-04-24 System and method for pre-warning of typhoon risks of overhead transmission lines of grid

Country Status (1)

Country Link
CN (1) CN103246936A (en)

Cited By (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104063811A (en) * 2014-07-04 2014-09-24 广东电网公司电网规划研究中心 Current-carrying limiting value estimation method of overhead transmission line
CN104181535A (en) * 2014-08-15 2014-12-03 国家电网公司 High-wind-speed area power grid equipment query method based on Doppler radar radial wind speed
CN104462820A (en) * 2014-12-10 2015-03-25 广东电网有限责任公司电力科学研究院 Method for detecting errors of coordinates of towers of power grids
CN104599023A (en) * 2014-08-06 2015-05-06 国家电网公司 Typhoon weather transmission line time-variant reliability calculation method and risk evaluation system
CN105160592A (en) * 2015-08-16 2015-12-16 国网浙江省电力公司湖州供电公司 Estimation method for trip-out probability of overhead transmission line under forest fire condition and forest fire prevention and control method
CN105427187A (en) * 2015-11-25 2016-03-23 广东电网有限责任公司湛江供电局 Wind resistance capacity assessment method and system of distribution line
CN103955609B (en) * 2014-04-25 2016-09-21 国家电网公司 A kind of forecast failure collection automatic generation method based on typhoon model
CN106203799A (en) * 2016-07-01 2016-12-07 中国南方电网有限责任公司 A kind of method of equipment Risk early warning
CN106485400A (en) * 2016-09-23 2017-03-08 中国南方电网有限责任公司超高压输电公司检修试验中心 The appraisal procedure of the transmission line of alternation current typhoon risk of meter and line status
CN106503881A (en) * 2016-09-23 2017-03-15 中国南方电网有限责任公司超高压输电公司检修试验中心 The appraisal procedure of DC power transmission line typhoon risk
CN106570621A (en) * 2016-11-02 2017-04-19 广西电网有限责任公司电力科学研究院 Typhoon risk early warning method for electric power transmission and distribution system
CN106651131A (en) * 2016-11-16 2017-05-10 海南电力技术研究院 Power-transmission-line anti-typhoon early warning method and system thereof
CN106842367A (en) * 2017-01-04 2017-06-13 广西电网有限责任公司电力科学研究院 A kind of power network typhoon method for prewarning risk
CN106846168A (en) * 2016-12-09 2017-06-13 国网北京市电力公司 The processing unit and system of transmission line of electricity scissors crossing
CN107527120A (en) * 2017-09-07 2017-12-29 南方电网科学研究院有限责任公司 A kind of method and device of typhoon early warning
CN107784393A (en) * 2017-10-27 2018-03-09 国网新疆电力公司电力科学研究院 A kind of the defects of transmission line of electricity Forecasting Methodology and device
CN107832893A (en) * 2017-11-24 2018-03-23 广东电网有限责任公司电力科学研究院 Power transmission and transforming equipment damage probability forecasting method and device under typhoon based on logistic
CN108061841A (en) * 2017-11-13 2018-05-22 广东电网有限责任公司惠州供电局 A kind of method of electric network fault event class automatic identification
CN108152867A (en) * 2017-12-29 2018-06-12 南方电网科学研究院有限责任公司 The typhoon early warning system and method for transmission line of electricity
CN108446780A (en) * 2018-03-13 2018-08-24 交通运输部东海航海保障中心厦门航标处 A kind of disaster-stricken early warning of intelligentized sea marker and impact analysis system
CN108764563A (en) * 2018-05-25 2018-11-06 国网湖南省电力有限公司 A kind of transmission line of electricity squall line wind pre-warning method
CN108921452A (en) * 2018-07-27 2018-11-30 国网河北能源技术服务有限公司 A kind of compound method for early warning of transmission line of electricity risk assessment based on fuzzy algorithmic approach
CN109242213A (en) * 2018-10-18 2019-01-18 国网山东省电力公司应急管理中心 A kind of fine early warning system of GIS power grid based on rate of load condensate statistics
CN109767124A (en) * 2019-01-14 2019-05-17 中国铁塔股份有限公司 A kind of the typhoon method for early warning and device of base station
CN109784559A (en) * 2019-01-14 2019-05-21 国网福建省电力有限公司电力科学研究院 A kind of transmission tower accumulated damage probability of malfunction calculation method under typhoon tracks forecast information
CN110399994A (en) * 2018-04-17 2019-11-01 江苏金风科技有限公司 The typhoon method for early warning and equipment of wind power plant
CN110442949A (en) * 2019-07-30 2019-11-12 广东电网有限责任公司 A kind of erosion and deposition stress forecasting system for sea cable routing
CN111610579A (en) * 2020-04-28 2020-09-01 国网江苏省电力有限公司电力科学研究院 Power transmission line early warning method for typical microtopography
CN111815044A (en) * 2020-07-03 2020-10-23 国网新疆电力有限公司电力科学研究院 Power grid strong wind safety early warning management and control method and system
CN112505486A (en) * 2020-12-03 2021-03-16 山西世纪中试电力科学技术有限公司 Source-load-storage integrated grid-connected electric energy quality testing system
WO2021047060A1 (en) * 2019-09-09 2021-03-18 天津大学 Power distribution network risk control method in typhoon scenario
CN113139760A (en) * 2021-05-27 2021-07-20 四创科技有限公司 Typhoon risk comprehensive evaluation method and system based on wind and rain big data
CN113191535A (en) * 2021-04-14 2021-07-30 国网河南省电力公司电力科学研究院 Design wind speed correction method in gale disaster early warning
CN113222423A (en) * 2021-05-19 2021-08-06 南方电网数字电网研究院有限公司 Typhoon monitoring method for power grid equipment
CN113554266A (en) * 2021-06-08 2021-10-26 国网湖南省电力有限公司 Power grid damage risk early warning method and system caused by strong wind under typhoon condition
CN113689053A (en) * 2021-09-09 2021-11-23 国网安徽省电力有限公司电力科学研究院 Strong convection weather overhead line power failure prediction method based on random forest
CN114114466A (en) * 2021-08-13 2022-03-01 广东省气象公共服务中心(广东气象影视宣传中心) Intelligent meteorological safety guard system
CN114910980A (en) * 2022-06-08 2022-08-16 中国气象局上海台风研究所(上海市气象科学研究所) Tropical cyclone gale wind circle forecasting method based on subjective path strength forecasting and parameterized wind field model
WO2023274325A1 (en) * 2021-06-30 2023-01-05 浙江三一装备有限公司 Wind condition information monitoring method and apparatus, and electronic device and storage medium
CN115765159A (en) * 2022-10-31 2023-03-07 国网河南省电力公司新乡供电公司 Transmission line safety early warning system based on data analysis
CN116667343A (en) * 2023-07-31 2023-08-29 国网浙江省电力有限公司宁波供电公司 Power supply management method and power supply management module based on unit portrait

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郑旭等: "《华东电网500 kV输电线路气象环境风险预警研究及应用》", 《华东电力》 *

Cited By (59)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103955609B (en) * 2014-04-25 2016-09-21 国家电网公司 A kind of forecast failure collection automatic generation method based on typhoon model
CN104063811A (en) * 2014-07-04 2014-09-24 广东电网公司电网规划研究中心 Current-carrying limiting value estimation method of overhead transmission line
CN104599023A (en) * 2014-08-06 2015-05-06 国家电网公司 Typhoon weather transmission line time-variant reliability calculation method and risk evaluation system
CN104181535B (en) * 2014-08-15 2017-02-08 国家电网公司 High-wind-speed area power grid equipment query method based on Doppler radar radial wind speed
CN104181535A (en) * 2014-08-15 2014-12-03 国家电网公司 High-wind-speed area power grid equipment query method based on Doppler radar radial wind speed
CN104462820A (en) * 2014-12-10 2015-03-25 广东电网有限责任公司电力科学研究院 Method for detecting errors of coordinates of towers of power grids
CN104462820B (en) * 2014-12-10 2017-10-27 广东电网有限责任公司电力科学研究院 A kind of method of power network shaft tower coordinate error detection
CN105160592A (en) * 2015-08-16 2015-12-16 国网浙江省电力公司湖州供电公司 Estimation method for trip-out probability of overhead transmission line under forest fire condition and forest fire prevention and control method
CN105427187A (en) * 2015-11-25 2016-03-23 广东电网有限责任公司湛江供电局 Wind resistance capacity assessment method and system of distribution line
CN105427187B (en) * 2015-11-25 2019-11-08 广东电网有限责任公司湛江供电局 Distribution line wind loading rating appraisal procedure and system
CN106203799A (en) * 2016-07-01 2016-12-07 中国南方电网有限责任公司 A kind of method of equipment Risk early warning
CN106485400A (en) * 2016-09-23 2017-03-08 中国南方电网有限责任公司超高压输电公司检修试验中心 The appraisal procedure of the transmission line of alternation current typhoon risk of meter and line status
CN106503881A (en) * 2016-09-23 2017-03-15 中国南方电网有限责任公司超高压输电公司检修试验中心 The appraisal procedure of DC power transmission line typhoon risk
CN106503881B (en) * 2016-09-23 2020-02-21 中国南方电网有限责任公司超高压输电公司检修试验中心 Method for evaluating typhoon risk of direct current transmission line
CN106485400B (en) * 2016-09-23 2019-07-23 中国南方电网有限责任公司超高压输电公司检修试验中心 The appraisal procedure of the transmission line of alternation current typhoon risk of meter and line status
CN106570621A (en) * 2016-11-02 2017-04-19 广西电网有限责任公司电力科学研究院 Typhoon risk early warning method for electric power transmission and distribution system
CN106651131A (en) * 2016-11-16 2017-05-10 海南电力技术研究院 Power-transmission-line anti-typhoon early warning method and system thereof
CN106846168A (en) * 2016-12-09 2017-06-13 国网北京市电力公司 The processing unit and system of transmission line of electricity scissors crossing
CN106842367A (en) * 2017-01-04 2017-06-13 广西电网有限责任公司电力科学研究院 A kind of power network typhoon method for prewarning risk
CN107527120A (en) * 2017-09-07 2017-12-29 南方电网科学研究院有限责任公司 A kind of method and device of typhoon early warning
CN107784393A (en) * 2017-10-27 2018-03-09 国网新疆电力公司电力科学研究院 A kind of the defects of transmission line of electricity Forecasting Methodology and device
CN108061841A (en) * 2017-11-13 2018-05-22 广东电网有限责任公司惠州供电局 A kind of method of electric network fault event class automatic identification
CN107832893A (en) * 2017-11-24 2018-03-23 广东电网有限责任公司电力科学研究院 Power transmission and transforming equipment damage probability forecasting method and device under typhoon based on logistic
CN108152867A (en) * 2017-12-29 2018-06-12 南方电网科学研究院有限责任公司 The typhoon early warning system and method for transmission line of electricity
CN108446780A (en) * 2018-03-13 2018-08-24 交通运输部东海航海保障中心厦门航标处 A kind of disaster-stricken early warning of intelligentized sea marker and impact analysis system
CN110399994B (en) * 2018-04-17 2022-11-01 江苏金风科技有限公司 Typhoon early warning method and device for wind power plant
CN110399994A (en) * 2018-04-17 2019-11-01 江苏金风科技有限公司 The typhoon method for early warning and equipment of wind power plant
CN108764563B (en) * 2018-05-25 2021-04-02 国网湖南省电力有限公司 Squall line wind early warning method for power transmission line
CN108764563A (en) * 2018-05-25 2018-11-06 国网湖南省电力有限公司 A kind of transmission line of electricity squall line wind pre-warning method
CN108921452B (en) * 2018-07-27 2021-04-09 华北电力大学(保定) Power transmission line risk assessment composite early warning method based on fuzzy algorithm
CN108921452A (en) * 2018-07-27 2018-11-30 国网河北能源技术服务有限公司 A kind of compound method for early warning of transmission line of electricity risk assessment based on fuzzy algorithmic approach
CN109242213A (en) * 2018-10-18 2019-01-18 国网山东省电力公司应急管理中心 A kind of fine early warning system of GIS power grid based on rate of load condensate statistics
CN109767124B (en) * 2019-01-14 2021-02-26 中国铁塔股份有限公司 Typhoon early warning method and device for base station
CN109784559B (en) * 2019-01-14 2022-06-03 国网福建省电力有限公司电力科学研究院 Method for calculating cumulative damage fault probability of transmission tower under typhoon path prediction information
CN109784559A (en) * 2019-01-14 2019-05-21 国网福建省电力有限公司电力科学研究院 A kind of transmission tower accumulated damage probability of malfunction calculation method under typhoon tracks forecast information
CN109767124A (en) * 2019-01-14 2019-05-17 中国铁塔股份有限公司 A kind of the typhoon method for early warning and device of base station
CN110442949A (en) * 2019-07-30 2019-11-12 广东电网有限责任公司 A kind of erosion and deposition stress forecasting system for sea cable routing
WO2021047060A1 (en) * 2019-09-09 2021-03-18 天津大学 Power distribution network risk control method in typhoon scenario
CN111610579A (en) * 2020-04-28 2020-09-01 国网江苏省电力有限公司电力科学研究院 Power transmission line early warning method for typical microtopography
CN111815044A (en) * 2020-07-03 2020-10-23 国网新疆电力有限公司电力科学研究院 Power grid strong wind safety early warning management and control method and system
CN111815044B (en) * 2020-07-03 2023-09-01 国网新疆电力有限公司电力科学研究院 Power grid strong wind safety early warning management and control method and system
CN112505486A (en) * 2020-12-03 2021-03-16 山西世纪中试电力科学技术有限公司 Source-load-storage integrated grid-connected electric energy quality testing system
CN112505486B (en) * 2020-12-03 2024-02-20 山西世纪中试电力科学技术有限公司 Source-load-storage integrated grid-connected power quality testing system
CN113191535A (en) * 2021-04-14 2021-07-30 国网河南省电力公司电力科学研究院 Design wind speed correction method in gale disaster early warning
CN113222423B (en) * 2021-05-19 2023-01-20 南方电网数字电网研究院有限公司 Typhoon monitoring method for power grid equipment
CN113222423A (en) * 2021-05-19 2021-08-06 南方电网数字电网研究院有限公司 Typhoon monitoring method for power grid equipment
CN113139760B (en) * 2021-05-27 2022-07-08 四创科技有限公司 Typhoon risk comprehensive evaluation method and system based on wind and rain big data
CN113139760A (en) * 2021-05-27 2021-07-20 四创科技有限公司 Typhoon risk comprehensive evaluation method and system based on wind and rain big data
CN113554266B (en) * 2021-06-08 2024-01-30 国网湖南省电力有限公司 Early warning method and system for risk of damage to power grid caused by strong wind under typhoon condition
CN113554266A (en) * 2021-06-08 2021-10-26 国网湖南省电力有限公司 Power grid damage risk early warning method and system caused by strong wind under typhoon condition
WO2023274325A1 (en) * 2021-06-30 2023-01-05 浙江三一装备有限公司 Wind condition information monitoring method and apparatus, and electronic device and storage medium
CN114114466A (en) * 2021-08-13 2022-03-01 广东省气象公共服务中心(广东气象影视宣传中心) Intelligent meteorological safety guard system
CN113689053A (en) * 2021-09-09 2021-11-23 国网安徽省电力有限公司电力科学研究院 Strong convection weather overhead line power failure prediction method based on random forest
CN113689053B (en) * 2021-09-09 2024-03-29 国网安徽省电力有限公司电力科学研究院 Strong convection weather overhead line power failure prediction method based on random forest
CN114910980A (en) * 2022-06-08 2022-08-16 中国气象局上海台风研究所(上海市气象科学研究所) Tropical cyclone gale wind circle forecasting method based on subjective path strength forecasting and parameterized wind field model
CN115765159A (en) * 2022-10-31 2023-03-07 国网河南省电力公司新乡供电公司 Transmission line safety early warning system based on data analysis
CN115765159B (en) * 2022-10-31 2024-01-23 国网河南省电力公司新乡供电公司 Transmission line safety precaution system based on data analysis
CN116667343B (en) * 2023-07-31 2023-12-15 国网浙江省电力有限公司宁波供电公司 Power supply management method and power supply management module
CN116667343A (en) * 2023-07-31 2023-08-29 国网浙江省电力有限公司宁波供电公司 Power supply management method and power supply management module based on unit portrait

Similar Documents

Publication Publication Date Title
CN103246936A (en) System and method for pre-warning of typhoon risks of overhead transmission lines of grid
WO2023061039A1 (en) Tailing pond risk monitoring and early-warning system based on internet of things
CN104951585B (en) A kind of typhoon method for early warning and device based on grid equipment
CN106844595A (en) A kind of specialized meteorological services application platform based on power grid GIS
CN110233877B (en) Intelligent photovoltaic power generation fault comprehensive early warning system
CN103440400B (en) Power system short-term risk determination method taking disaster factors into account
CN104951993A (en) Comprehensive monitoring and early warning system based on meteorology and power grid GIS and method thereof
CN104951493A (en) Method and system for correlating weather information with power equipment on basis of GIS (geographic information system)
CN104952212A (en) Power-grid-GIS-based early warning method of geological disaster and apparatus thereof
CN104950348B (en) The correlating method of a kind of weather data and electrical network facilities and system
CN104182594A (en) Method for drawing power system wind area graph
CN103713336A (en) Hydropower station basin areal rainfall meteorology forecast method based on GIS subarea
CN104217384A (en) A nuclear accident emergency processing and auxiliary decision support system
CN107657336B (en) Power transmission and distribution equipment typhoon early warning system based on microclimate and microtopography
CN105278004B (en) A kind of weather condition analysis method of grid power transmission circuit section
CN104950351B (en) The horizontal methods of exhibiting of many meteorological elements compound based on meteorology and system
CN101923685A (en) System and method for deciding power shedding load based on line breaking fault rate prediction
CN104951992B (en) The longitudinal correlating method of electric power based on GIS-meteorology and system
CN103914737B (en) A kind of existing the weather information computational methods of power transmission and transformation line full line
CN107274634B (en) Precipitation Secondary Geological Hazards alarm calculation method and system along a kind of transmission line of electricity
CN105894706B (en) A kind of forest fire prediction technique and its system
CN204695515U (en) Shallow water arm of lake pollutant and blue-green algae Real-time Forecasting System
CN111027827B (en) Method and device for analyzing operation risk of bottom-protecting communication network and computer equipment
Liu et al. Design and implementation of monitoring and early warning system for urban roads waterlogging
CN106802930A (en) A kind of method of calibration in electric power line pole tower model geographical position

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20130814