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 PDFInfo
- 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
Links
Images
Classifications
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information 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
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
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),
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
And typhoon wind speed v
y(t=nt
0(n=1,2 ... m, mt
0≤ 24h)):
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
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:
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:
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
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
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:
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
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),
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
And typhoon wind speed v
y(t=nt
0(n=1,2 ... m, mt
0≤ 24h)):
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
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:
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:
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:
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
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
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:
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),
, 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):
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
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:
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:
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
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
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:
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.
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)
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 |
-
2013
- 2013-04-24 CN CN2013101466983A patent/CN103246936A/en active Pending
Non-Patent Citations (1)
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)
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 |