CN106295896B - In conjunction with the middle minute yardstick power grid windburn method for early warning of remote sensing terrain information - Google Patents
In conjunction with the middle minute yardstick power grid windburn method for early warning of remote sensing terrain information Download PDFInfo
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Abstract
The present invention relates to a kind of middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information.This method carries out fining diagnosis to wind field using the forecast fields that WRF is formed as primary condition, using CALMET Meteorological Models, does NO emissions reduction calculating, while importing the remote sensing terrain information data of higher resolution, to obtain the forecast of higher resolution.
Description
Technical field
The present invention relates to power grid windburn early warning technology fields, and in particular to a kind of middle minute yardstick of combination remote sensing terrain information
Power grid windburn method for early warning.
Background technique
China's power transmission network erection area coverage is wide, is influenced by a variety of weather conditions and natural calamity form.In addition to thunder and lightning,
Snowfall, electric power netting safe running are also influenced by high wind sand and dust.Especially northwest China area, is located in middle high latitude, ground mulching
It is few, it is easy to appear high wind dust and sand weather.The extreme high wind sand and dust generated, which cause electric power netting safe running, to be seriously threatened.Strong wind can
Cause accidents, the adjoint sand and dust such as route windage yaw tripping, insulator damage, stranded, the shaft tower damage of grounded-line that can cause because of insulation
Son pollutes and flashover fault occurs.Therefore, accurate early warning is carried out to high wind dust and sand weather, to the electric power netting safe running of windy and sandy area
Important role.
Currently, both at home and abroad to there are mainly three types of the assessment predictions of wind-force element: (1) based on weather station history observational data
Assessment, (2) assessment based on anemometer tower observational data, (3) Numerical Simulation of Wind outcome evaluation.Due to by landform, underlying surface etc.
Many factors influence, and ground section differs greatly, and are assessed using the wind field of meteorological station observational data and anemometer tower field data equal
There is certain limitation, if weather station distribution is lax, wind height 10m is routinely surveyed in weather station, and representativeness has its limitation；And it establishes high
The anemometer tower of Density Distribution is unpractical.The spatial resolution and accuracy that these deficiencies cause it to forecast are difficult to meet power grid
The line upkeep demand of shaft tower rank.
The numerical simulation technology of wind is gradually widely applied in recent years, and Forecast Mode is constantly updated, and resolution ratio is continuously improved.
Wherein, for horizontal scale in several hundred rice to two or three hundred kilometers, time scale becomes medium and small in the mode of dozens of minutes to ten a few houres
Scale model.It is able to achieve weather forecast more careful in specific region.Although the numerical simulation of wind field is in many field quilts
Using, but in the windburn early warning in electric power netting safe running field or blank.
Summary of the invention
The purpose of the present invention is to provide a kind of middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information, should
Method realizes the improvement to the accuracy of strong wind Element forecast and resolution ratio, improves gale forecast early warning quality, to take actively
The precautionary measures, reduce the generation of power grid accident, guarantee its safe and stable operation.
In order to solve the above technical problems, a kind of middle minute yardstick power grid windburn of combination remote sensing terrain information disclosed by the invention
Method for early warning, it is characterised in that: it includes the following steps:
Step 1: in numerical weather prediction model system, the power grid in logarithm weather forecast modular system waits for that windburn is pre-
Trple grid hierarchy nesting is arranged in police region domain；
Step 2: in numerical weather prediction model system, the wind speed mode integral step of outermost layer grid in setting steps 1
A length of setting value A, setting wind speed mode integral time are setting value B, export primary air velocity mode integral result per hour；
Step 3: the meteorological data information that power grid waits for windburn prewarning area is obtained in numerical weather prediction model system；
Step 4: it is simulated time section that specified whole year in time is chosen in numerical weather prediction model system, carries out by a definite date 1
Day by day the simulation in year, obtains the wind speed simulation data day by day that power grid waits for windburn prewarning area；
Step 5: the meteorological data information and wind day by day of windburn prewarning area are waited for above-mentioned wind speed mode integral result, power grid
Fast analogue data carries out minute yardstick sunykatuib analysis to wind field as primary condition, using CALMET Meteorological Models, obtains landform point
Resolution is 1 year wind speed simulation data day by day under 90m,
Step 6: being to be obtained in 1 year data of wind speed simulation day by day under 90m by data statistics from above-mentioned Terrain resolution
Annual wants prime sequences with the associated wind-force of location coordinates day by day；
Step 7: wanting prime sequences to wait for windburn prewarning area to power grid with the associated wind-force of location coordinates day by day according to annual
Carry out the early warning of route strong wind.
Beneficial effects of the present invention:
The present invention is based on mesoscale numerical value numerical weather prediction model WRF (Weather Research and
Forecasting Model) and minute yardstick Meteorological Models CALMET, while this method combines remote sensing terrain information data, phase
Compared with simple mesoscale numerical weather forecast mode, the strong wind analog result of higher spatial resolution can be obtained, so that
Analog result more meets the true weather condition of the Northwest influenced by complicated landform, is more able to satisfy power grid shaft tower rank
Line upkeep demand, the power grid safety accident for caused by reducing windburn improve the economic and environmental benefit of electricity power enterprise, improve electricity
Force system safe and stable operation is of great importance.
Specific embodiment
Below in conjunction with specific embodiment, the present invention is described in further detail:
A kind of middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information of the present invention, it includes the following steps:
Step 1: in numerical weather prediction model system, the power grid in logarithm weather forecast modular system waits for that windburn is pre-
Trple grid hierarchy nesting is arranged in police region domain；
Step 2: in numerical weather prediction model system, the wind speed mode integral step of outermost layer grid in setting steps 1
A length of setting value A, setting wind speed mode integral time are setting value B, export primary air velocity mode integral result per hour；
Step 3: the meteorological data information that power grid waits for windburn prewarning area is obtained in numerical weather prediction model system；
Step 4: it is simulated time section that specified whole year in time is chosen in numerical weather prediction model system, carries out by a definite date 1
Day by day the simulation in year, obtains the wind speed simulation data day by day that power grid waits for windburn prewarning area；
Step 5: the meteorological data information and wind day by day of windburn prewarning area are waited for above-mentioned wind speed mode integral result, power grid
Fast analogue data carries out minute yardstick sunykatuib analysis to wind field as primary condition, using CALMET Meteorological Models, obtains landform point
Resolution is 1 year wind speed simulation data day by day under 90m,
Step 6: being to be obtained in 1 year data of wind speed simulation day by day under 90m by data statistics from above-mentioned Terrain resolution
Annual wants prime sequences with the associated wind-force of location coordinates day by day；
Step 7: wanting prime sequences to wait for windburn prewarning area to power grid with the associated wind-force of location coordinates day by day according to annual
Carry out the early warning of route strong wind.
In above-mentioned technical proposal, step 1 is the setting of numerical weather prediction model system spatially, and step 2 is numerical value
The setting of weather forecast modular system in time.
In the step 7 of above-mentioned technical proposal, the big wind pre-warning method of route is, from annual associated with location coordinates day by day
Wind-force element retrieval waits for the route and the corresponding wind-force factor data of shaft tower of transmission line of electricity in the early warning area at early warning moment,
The wind-force factor data is compared with corresponding safe threshold, when being more than the safe threshold, issues the early warning of route strong wind.
Concrete form in the step 1 of above-mentioned technical proposal, in Trple grid hierarchy nesting horizontal direction are as follows: outermost layer net
Sound of laughing points are laterally 99, longitudinal 66, and for HORIZONTAL PLAID away from being 27km, middle layer grid lattice point number is laterally 72, longitudinal direction 72, HORIZONTAL PLAID
Away from for 9km, innermost layer grid lattice point number is laterally 99, longitudinal 99, and HORIZONTAL PLAID is away from for 3km.Trple grid hierarchy nesting Vertical Square
Upward concrete form are as follows: be divided into 30 layers of grid in surface layer encryption, wherein 200m or less has 9 layers of grid.
In the step 3 of above-mentioned technical proposal, using in Environmental forecast in numerical weather prediction model system
The global analysis of data of the FNL (Final Operational Global Analysis) of the heart (NCEP) and China Meteorological Administration's research and development
National Meteorological Data data carry out assimilation, obtain the meteorological data information that power grid waits for windburn prewarning area.Above-mentioned FNL
The every 6h acquisition of data in global analysis of data is primary, and horizontal resolution is 1 ° × 1 °.
In the step 1 of above-mentioned technical proposal, the Trple grid hierarchy nesting waits for windburn prewarning area for realizing power grid
The setting of space environment.The wind speed mode integral step-length that outermost layer grid is arranged in the step 1 is 27 seconds.In the step 1
It is 36 hours that the wind speed mode integral time, which is arranged,.
Above-mentioned technical proposal, the nested landform data source in numerical weather prediction model system is in U.S. geological Survey
The topographic(al) data of the office's whole world (USGS) 1km × 1km resolution ratio.
The present invention carries out wind field using the forecast fields that WRF is formed as primary condition, using CALMET Meteorological Models fine
Change diagnosis, NO emissions reduction calculating is done, while importing the remote sensing terrain information data of higher resolution, to obtain the pre- of higher resolution
Report.
The content that this specification is not described in detail belongs to the prior art well known to professional and technical personnel in the field.
Claims (7)
1. a kind of middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information, it is characterised in that: it includes following step
It is rapid:
Step 1: in numerical weather prediction model system, the power grid in logarithm weather forecast modular system waits for windburn precautionary areas
Trple grid hierarchy nesting is arranged in domain；
Step 2: in numerical weather prediction model system, the wind speed mode integral step-length of outermost layer grid is in setting steps 1
Setting value A, setting wind speed mode integral time are setting value B, export primary air velocity mode integral result per hour；
Step 3: the meteorological data information that power grid waits for windburn prewarning area is obtained in numerical weather prediction model system；
Step 4: it is simulated time section that specified whole year in time is chosen in numerical weather prediction model system, is carried out 1 year by a definite date
Day by day it simulates, obtains the wind speed simulation data day by day that power grid waits for windburn prewarning area；
Step 5: the meteorological data information and wind speed mould day by day of windburn prewarning area are waited for above-mentioned wind speed mode integral result, power grid
Quasi- data obtain landform resolution using CALMET Meteorological Models to minute yardstick sunykatuib analysis in wind field progress as primary condition
Rate is 1 year wind speed simulation data day by day under 90m,
Step 6: annual to be obtained in 1 year data of wind speed simulation day by day under 90m by data statistics from above-mentioned Terrain resolution
Want prime sequences with the associated wind-force of location coordinates day by day；
Step 7: wanting prime sequences to wait for that windburn prewarning area is carried out to power grid with the associated wind-force of location coordinates day by day according to annual
Route strong wind early warning.
2. the middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information according to claim 1, feature exist
In: in the step 7, the big wind pre-warning method of route is to want prime sequences to obtain with the associated wind-force of location coordinates day by day from annual
The route and the corresponding wind-force factor data of shaft tower for taking transmission line of electricity in the early warning area to the early warning moment, want prime number for the wind-force
It is compared according to corresponding safe threshold, when being more than the safe threshold, issues the early warning of route strong wind.
3. the middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information according to claim 1, feature exist
In: the concrete form in the step 1, in Trple grid hierarchy nesting horizontal direction are as follows: outermost layer grid lattice point number is laterally
99, longitudinal 66, for HORIZONTAL PLAID away from being 27km, middle layer grid lattice point number is laterally 72, longitudinal 72, and HORIZONTAL PLAID is away from for 9km, innermost layer
Grid lattice point number is laterally 99, longitudinal 99, and HORIZONTAL PLAID is away from for 3km.
4. the middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information according to claim 1, feature exist
In: in the step 3, analyzed in numerical weather prediction model system using the whole world FNL in Environmental forecasting centre
Data and the National Meteorological Data data of China Meteorological Administration's research and development carry out assimilation, obtain power grid and wait for windburn prewarning area
Meteorological data information.
5. the middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information according to claim 3, feature exist
In: in the step 1, the Trple grid hierarchy nesting waits for the setting of windburn prewarning area space environment for realizing power grid.
6. the middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information according to claim 1, feature exist
In: the wind speed mode integral step-length that outermost layer grid is arranged in the step 1 is 27 seconds.
7. the middle minute yardstick power grid windburn method for early warning of combination remote sensing terrain information according to claim 1, feature exist
In: it is 36 hours that the wind speed mode integral time is arranged in the step 1.
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| CN107688906B (en) * | 2017-09-04 | 2021-11-09 | 北京玖天气象科技有限公司 | Multi-method fused transmission line meteorological element downscaling analysis system and method |
| CN108363882B (en) * | 2018-03-06 | 2021-10-15 | 中国能源建设集团江苏省电力设计院有限公司 | Mountain area power transmission line design wind speed calculation method based on power downscaling mode |
| CN111898296B (en) * | 2020-07-15 | 2023-08-11 | 中国科学院大气物理研究所 | Multi-scale simulation method and system for nuclear material atmospheric diffusion and sedimentation |
| CN113268937B (en) * | 2021-04-09 | 2024-04-05 | 大唐可再生能源试验研究院有限公司 | Wind turbine generator system large part damage analysis system based on data fusion |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103514341A (en) * | 2012-06-14 | 2014-01-15 | 华锐风电科技(集团)股份有限公司 | Wind resource assessment method based on numerical weather prediction and computational fluid dynamics |
| CN103559557A (en) * | 2013-11-01 | 2014-02-05 | 国家电网公司 | Gallop warning method and system based on electric transmission line of electrical power system |
| CN104851051A (en) * | 2014-12-08 | 2015-08-19 | 国家电网公司 | Dynamic-modification-combined storm rainfall fine alarming method for power grid zone |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103514341A (en) * | 2012-06-14 | 2014-01-15 | 华锐风电科技(集团)股份有限公司 | Wind resource assessment method based on numerical weather prediction and computational fluid dynamics |
| CN103559557A (en) * | 2013-11-01 | 2014-02-05 | 国家电网公司 | Gallop warning method and system based on electric transmission line of electrical power system |
| CN104851051A (en) * | 2014-12-08 | 2015-08-19 | 国家电网公司 | Dynamic-modification-combined storm rainfall fine alarming method for power grid zone |
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