CN109035361A - Method, device, equipment and medium for drawing power grid wind speed distribution diagram - Google Patents
Method, device, equipment and medium for drawing power grid wind speed distribution diagram Download PDFInfo
- Publication number
- CN109035361A CN109035361A CN201810526104.4A CN201810526104A CN109035361A CN 109035361 A CN109035361 A CN 109035361A CN 201810526104 A CN201810526104 A CN 201810526104A CN 109035361 A CN109035361 A CN 109035361A
- Authority
- CN
- China
- Prior art keywords
- wind speed
- power grid
- data
- peak gust
- gust coefficient
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000010586 diagram Methods 0.000 title abstract description 9
- 238000006243 chemical reaction Methods 0.000 claims abstract description 40
- 230000015654 memory Effects 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 15
- 238000009877 rendering Methods 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 2
- 238000013461 design Methods 0.000 description 14
- 230000005540 biological transmission Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000001771 impaired effect Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 208000006011 Stroke Diseases 0.000 description 1
- 206010044565 Tremor Diseases 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000013481 data capture Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a method for drawing a power grid wind speed distribution diagram, which comprises the steps of obtaining wind speed data when a meteorological station logs in by typhoon and topographic data around the meteorological station; calculating a maximum gust coefficient value range according to the wind speed data; obtaining a maximum gust coefficient conversion table according to the terrain data and the maximum gust coefficient; and drawing the coastal wind speed distribution map of the existing power grid according to the maximum gust coefficient conversion table to obtain a maximum instantaneous wind speed distribution map. The overall method for drawing the typhoon gust wind speed distribution diagram in the coastal region of the power grid is provided.
Description
Technical field
The present invention relates to power grid prevent and reduce natural disasters in Transmission Line Design and transformation technical field more particularly to a kind of electricity
Net wind speed profile drawing drawing method, device, equipment and medium.
Background technique
Design wind speed is the key parameter of overhead transmission line design, and design wind speed value is directly related to line project
Economy, safety and applicability.Overhead transmission line design wind speed is mainly according to long-range meteorological platform near line corridor at present
The Wind Data stood, " loading code for design of building structures " GB50009-2012 and comprehensively consider really with the built route design wind speed in region
It is fixed.China southeastern coastal areas are serious by typhoon, and the situation is tense for coastal area power transmission line wind mitigation.
Regulation in " nuclear power plant project meteorological technological specification " (GB/T 50674-2013): " design basis wind speed technology is preferably first
By liftoff 10m height 10min be averaged yearly maximum wind speed series, using probabilistic technique calculate return period a-hundred-year most strong wind
Speed, is averaged further according to 10min and the correlativity of extreme wind speed calculates design basis wind.Extreme wind speed and the average maximum of 10min
The correlativity of wind speed is preferably obtained by field data statistical analysis ", being designed check using 10 minutes average winds cannot expire
Sufficient electric power netting safe running needs, and the situation for causing route impaired because gustiness is excessive happens occasionally, in typhoon gustiness point
On cloth drawing drawing method, not to topographic(al) data the considerations of, the method for drafting also do not generally acknowledged.
Summary of the invention
In view of the above-mentioned problems, can consider the purpose of the present invention is to provide a kind of power grid wind speed profile drawing drawing method
Gustness factor is combined under the information of topographic(al) data, and existing wind speed profile is repainted, it is coastal to propose a kind of power grid
The group method that regional typhoon gustiness distribution map is drawn.
In a first aspect, the present invention provides a kind of power grid wind speed profile drawing drawing methods, comprising:
Obtain meteorological station Landed Typhoon when air speed data and the meteorological station around topographic(al) data;
Peak gust coefficient value range is calculated according to the air speed data;
Peak gust coefficient conversion table is obtained according to the topographic(al) data and peak gust coefficient;
The coastal wind speed profile figure of existing power grid is drawn according to peak gust coefficient conversion table, to obtain maximum
Instantaneous wind speed distribution map.
In the possible implementation of in the first aspect the first, air speed data when the acquisition meteorological station Landed Typhoon
Include: with the topographic(al) data around the meteorological station
Air speed data when obtaining the meteorological station Landed Typhoon include instantaneous wind speed data and when being averaged away from 10min
Air speed data;
Obtaining the topographic(al) data around the meteorological station includes sea, island, offshore, tableland, jungle.
In conjunction with the first possible implementation of first aspect, in second of possible implementation of first aspect,
It is described peak gust coefficient range is calculated according to the air speed data to include:
According to the maximum instantaneous wind speed data and it is described when the mean wind speed ratio away from 10min obtain peak gust system
Number;
Using conic section to it is each described when away from peak gust coefficient march under the mean wind speed of 10min
Line fitting, obtains the curve that peak gust coefficient changes with mean wind speed;
According to the curve-fitting results that peak gust coefficient changes with mean wind speed, when calculating different away from
Peak gust coefficient value range of the average wind of 10min.
In conjunction with second of possible implementation of first aspect, in the third possible implementation of first aspect,
It is described peak gust coefficient conversion table is obtained according to the topographic(al) data and the gustness factor to include:
Underlying surface is divided into sea, island, offshore, tableland, five class underground properties of jungle according to the topographic(al) data;
The corresponding peak gust coefficient of the five classes underground properties is obtained according to the gustness factor value range to take
It is worth range, obtains peak gust coefficient conversion table.
In the 4th kind of possible implementation of first aspect, it is described according to the gustness factor conversion table to existing power grid
Coastal wind speed profile figure is drawn, and includes: to obtain maximum instantaneous power distribution map
Maximum battle array away from 10min average wind when obtaining the difference of different underlying surface feature according to the gustness factor conversion table
Wind coefficient value range;
Corresponding peak gust coefficient is acquired according to peak gust coefficient value range;
Multiplied by corresponding peak gust coefficient on the existing coastal wind speed profile figure of power grid, to realize to existing
The drafting of the coastal wind speed profile figure of power grid, to obtain maximum instantaneous power distribution map.
Second aspect, the embodiment of the invention provides a kind of power grid wind speed profile figure drawing apparatus, comprising:
Module is obtained, landform money when for obtaining meteorological station Landed Typhoon around air speed data and the meteorological station
Material;
Computing module, for calculating gustness factor value range according to the air speed data;
Conversion table obtains module, for obtaining gustness factor conversion table according to the topographic(al) data and the gustness factor;
Drafting module, for being drawn according to the gustness factor conversion table to the coastal wind speed profile figure of existing power grid.
The third aspect, the embodiment of the invention provides a kind of power grid wind speed profile figure rendering apparatus, including processor, storage
Device and storage in the memory and are configured as the computer program executed by the processor, and the processor executes
Power grid wind speed profile drawing drawing method as described above is realized when the computer program.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, which is characterized in that the calculating
Machine readable storage medium storing program for executing includes the computer program of storage, wherein controls the computer in computer program operation
Equipment executes power grid wind speed profile drawing drawing method as described above where readable storage medium storing program for executing.
Air speed data when one technical solution of above-mentioned technical proposal has the advantages that acquisition meteorological station Landed Typhoon
With the topographic(al) data around the meteorological station;Gustness factor value range is calculated according to the air speed data;According to described
Topographic(al) data and the gustness factor obtain gustness factor conversion table;It is coastal to existing power grid according to the gustness factor conversion table
Wind speed profile figure is drawn, and a kind of group method that typhoon gustiness distribution map in power grid coastal area is drawn is proposed.
Detailed description of the invention
Fig. 1 is the power grid wind speed profile drawing drawing method flow diagram that first embodiment of the invention provides;
Fig. 2 is peak gust coefficient schematic diagram that first embodiment of the invention provides;
Fig. 3 is the coastal wind speed profile figure of existing power grid;
Fig. 4 is the maximum instantaneous power distribution map that first embodiment of the invention provides;
Fig. 5 is a kind of structural schematic diagram for power grid wind speed profile figure drawing apparatus that second embodiment of the invention provides;
Fig. 6 is the schematic diagram for the power grid wind speed profile figure rendering apparatus that third embodiment of the invention provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the invention provides a kind of power grid wind speed profile drawing drawing methods, are described in detail separately below.
Embodiment one
The power grid wind speed profile drawing drawing method flow diagram provided referring to Fig. 1, first embodiment of the invention;
S11, obtain meteorological station Landed Typhoon when air speed data and the meteorological station around topographic(al) data;
It should be noted that domestic Transmission Line Design wind speed refers to 10 minutes average winds of 10m height, in the present embodiment
In, the average wind refers to the air speed value of 10 minutes average winds of 10m height, and the fitful wind refers to that the wind speed in the several seconds is average
Value.
In the present embodiment, air speed data and length when collecting the Landed Typhoon being recorded since coastal long-range meteorological station is built a station
Topographic(al) data around phase station, filters out 10 minutes average winds in the air speed data of 18m/s or more.
Preferably, it is described obtain meteorological station Landed Typhoon when air speed data and the meteorological station around topographic(al) data
Include:
Air speed data when obtaining the meteorological station Landed Typhoon include instantaneous wind speed data and when being averaged away from 10min
Air speed data;
The air speed data acquired be instantaneous wind speed data sequence and when the average wind data sequence away from 10min.
Obtaining the topographic(al) data around the meteorological station includes sea, island, offshore, tableland, jungle.
In the present embodiment, underground properties are classified, are divided into sea, island, offshore, tableland, jungle,
In, water body has been divided into sea, and beach has pacifically been divided into offshore, and tableland and hills are all divided into tableland one kind, jungle and mountainous region
All it has been divided into jungle, has done so and on the one hand consider most of underground properties, but it is further contemplated that practical operation feasibility, did not had
More refinement underground properties, meet engineer application needs enough, and the present invention is not especially limited this.
S12, peak gust coefficient value range is calculated according to the air speed data;
It should be noted that gustness factor allows for instantaneous wind compared with the coefficient that average wind is big and multiplies, general definition is battle array
Wind wind speed and when away from the ratio between the mean wind speed of 10min, with maximum (minimum) fitful wind wind in the determination any given time
Speed.Generally, turbulence intensity is bigger, and gustness factor is also bigger;The gust lasts time is longer, and gustness factor is smaller.
It should be pointed out that the empirical value and empirical equation of the gustness factor obtained according to the above method are according to atmosphere incoming flow
Data obtain, they are possible the clad can structure design on structure windward side, because of the turbulence characteristics on windward side
It is close with atmosphere incoming flow feature, but the negative pressuren zone on structure roofing is not necessarily applicable in because these regions mainly by
The effect of whirlpool, turbulence characteristics are different from the turbulence characteristics of incoming flow.Clad can structure in engineering is often by the wind pressure of negative pressuren zone
It is worth control design case, therefore, in the clad can structure design of structure, pays special attention to the value of negative pressuren zone gustness factor.On meanwhile
When the method for stating gustness factor is applied to large area clad can structure, due to using all related of pressure peak, as a result,
Too conservative
In the present embodiment, described peak gust coefficient range is calculated according to the air speed data to include:
According to the maximum instantaneous wind speed data and it is described when the mean wind speed ratio away from 10min obtain peak gust system
Number;
It should be noted that being designed check based on 10 minutes average winds of existing use is not able to satisfy power grid security fortune
Row needs, and the situation for causing route impaired because gustiness is excessive happens occasionally, so the gustness factor of the embodiment of the present invention is
According to acquiring be maximum value in instantaneous wind speed data sequence and when the mean wind speed data away from 10min compared
Value calculates peak gust coefficient.
Using conic section to it is each described when away from peak gust coefficient march under the mean wind speed of 10min
Line fitting, obtains the curve that peak gust coefficient changes with mean wind speed;
According to the curve-fitting results that peak gust coefficient changes with mean wind speed, when calculating different away from
Peak gust coefficient value range of the average wind of 10min.
Specifically, referring to fig. 2, being calculated according to air speed data of G=max (the Uss)/U10 to the meteorological platform of acquisition
Later, what is acquired is the largest gustness factor, wherein max (Uss) is the largest instantaneous wind speed data, when U10 is described
Mean wind speed data away from 10min carry out curve fitting to peak gust coefficient under each mean wind speed using conic section,
According to the curve-fitting results that peak gust coefficient changes with mean wind speed, different when being averaged away from 10min is calculated
Peak gust coefficient value range of wind, wherein it clock synchronization can be divided according to the actual situation away from the average wind of 10min,
Calculate according to the result of division peak gust coefficient value range under different mean wind speeds, it is assumed that such as < 31m/s
The when average wind wind speed away from 10min correspond to conic section maximum value and have greater than 1.7, maximum value takes 1.7, be not greater than 1.7,
It is taken by practical corresponding range.The when average wind wind speed away from 10min of 39m/s~43m/s;35~39m/s;31~35m/s's presses
Conic section respective value determines gustness factor value range, and the when average wind wind speed away from 10min of > 43m/s has less than 1.2,
Minimum value goes 1.2, not less than 1.2, takes by practical corresponding range, the present invention is not especially limited this.
It should be noted that power grid wind speed profile figure is all mono- grade of 2m/s, division and existing power grid wind speed here
Wind speed division in distribution map is corresponding, and clock synchronization is divided into > 43m/s away from the average wind of 10min;39m/s~43m/s;35m/s
~39m/s;31m/s~35m/s;Totally 5 ladders, the present invention do not make tool to this and limit < 31m/s.
S13, peak gust coefficient conversion table is obtained according to the topographic(al) data and peak gust coefficient;
Preferably, described peak gust coefficient conversion table is obtained according to the topographic(al) data and the gustness factor to include:
Underlying surface is divided into sea, island, offshore, tableland, five class underground properties of jungle according to the topographic(al) data;
The corresponding peak gust coefficient of the five classes underground properties is obtained according to the gustness factor value range to take
It is worth range, obtains peak gust coefficient conversion table.
In the present embodiment, Combining with terrain data calculates different under every class underground properties according to different underlying surfaces
When the corresponding gustness factor value range of average wind wind speed away from 10min, obtaining the different when average wind wind away from 10min
The lower gustness factor value range of speed, calculates peak gust coefficient value range under different underlying surface feature, or according to different
Underground properties calculate gustness factor value range, then according to it is different when the average wind wind speed away from 10min to obtaining
Gustness factor value range is recalculated again, and the present invention is not especially limit this.
Referring to table 1, the corresponding maximum of the five classes underground properties is being obtained according to the gustness factor value range
After gustness factor value range, mean wind speed when each away from 10min and each underground properties gustness factor value on the one hand according to
According to being obtained hereinafter according to meteorological station measurement, on the other hand also according to meteorological apoplexy profile features.Such as sea because of smoother,
It is smaller to the occlusion effect of wind, so gustness factor takes a value, remaining island, offshore, tableland, hills, jungle, mountainous region,
Mostly in reference to the actual measurement data of meteorological station, this division is made according to real data situation combination design experiences, this
Invention is not especially limited this.
Table 1
S14, the coastal wind speed profile figure of existing power grid is drawn according to peak gust coefficient conversion table, to obtain
Maximum instantaneous power distribution map.
Preferably, described that the coastal wind speed profile figure of existing power grid is drawn according to the gustness factor conversion table, with
Obtaining maximum instantaneous power distribution map includes:
Maximum battle array away from 10min average wind when obtaining the difference of different underlying surface feature according to the gustness factor conversion table
Wind coefficient value range;
Corresponding peak gust coefficient is acquired according to peak gust coefficient value range;
Multiplied by corresponding peak gust coefficient on the existing coastal wind speed profile figure of power grid, to realize to existing
The drafting of the coastal wind speed profile figure of power grid, to obtain maximum instantaneous power distribution map.
Specifically, Fig. 3 is the coastal wind speed profile figure of existing power grid referring to Fig. 3, the existing coastal wind speed of power grid point is obtained
The when air speed data away from 10min average wind on Butut obtains different underlying surface feature according to the gustness factor conversion table
Peak gust coefficient value range when different away from 10min average wind, obtains according to peak gust coefficient value range
To corresponding peak gust coefficient, it is assumed that peak gust coefficient value range for obtaining island is 1.2-1.3, then according to practical feelings
Condition value reach corresponding peak gust coefficient be 1.3, then on the existing coastal wind speed profile figure of power grid when away from 10min
The air speed data of average wind, in for island when the average wind wind speed away from 10min multiplied by 1.3, obtained maximum instantaneous power point
Butut, referring to fig. 4.
Implement the present embodiment to have the following beneficial effects:
Obtain meteorological station Landed Typhoon when air speed data and the meteorological station around topographic(al) data;According to the wind
Fast data calculate gustness factor value range;Gustness factor conversion is obtained according to the topographic(al) data and the gustness factor
Table;The coastal wind speed profile figure of existing power grid is drawn according to the gustness factor conversion table, it is coastal to propose a kind of power grid
The group method that regional typhoon gustiness distribution map is drawn.
It is the structural representation for the power grid wind speed profile figure drawing apparatus that second embodiment of the invention provides referring to Fig. 5, Fig. 5
Figure.Include:
Module 51 is obtained, landform when for obtaining meteorological station Landed Typhoon around air speed data and the meteorological station
Data;
Computing module 52, for calculating peak gust coefficient value range according to the air speed data;
Conversion table obtains module 53, for obtaining peak gust system according to the topographic(al) data and peak gust coefficient
Number conversion table;
Drafting module 54, for being carried out according to peak gust coefficient conversion table to the coastal wind speed profile figure of existing power grid
It draws, to obtain maximum instantaneous power distribution map.
Preferably, the acquisition module 51 includes:
Data capture unit includes instantaneous wind speed data for air speed data when obtaining the meteorological station Landed Typhoon
With when the mean wind speed data away from 10min;
Topographic(al) data acquiring unit for obtaining the topographic(al) data around the meteorological station includes sea, island, close
Bank, tableland, jungle.
Preferably, the computing module 52 includes:
Peak gust coefficient acquiring unit, for according to the maximum instantaneous wind speed data and it is described when away from 10min's
Mean wind speed ratio obtains peak gust coefficient;
Curve acquisition unit, for using conic section to it is each described when away from described under the mean wind speed of 10min
Peak gust coefficient carries out curve fitting, and obtains the curve that peak gust coefficient changes with mean wind speed;
Range acquiring unit, the curve-fitting results for being changed according to peak gust coefficient with mean wind speed, meter
Peak gust coefficient value range of average wind away from 10min when calculating different.
Preferably, the conversion table acquisition module 53 includes:
Underlying surface is divided into sea, island, offshore, tableland, five class underground properties of jungle according to the topographic(al) data;
The corresponding peak gust coefficient of the five classes underground properties is obtained according to the gustness factor value range to take
It is worth range, obtains peak gust coefficient conversion table.
Preferably, the drafting module 54 includes:
Maximum battle array away from 10min average wind when obtaining the difference of different underlying surface feature according to the gustness factor conversion table
Wind coefficient value range;
Corresponding peak gust coefficient is acquired according to peak gust coefficient value range;
Multiplied by corresponding peak gust coefficient on the existing coastal wind speed profile figure of power grid, to realize to existing
The drafting of the coastal wind speed profile figure of power grid, to obtain maximum instantaneous power distribution map.
Implement the present embodiment to have the following beneficial effects:
Obtain meteorological station Landed Typhoon when air speed data and the meteorological station around topographic(al) data;According to the wind
Fast data calculate gustness factor value range;Gustness factor conversion is obtained according to the topographic(al) data and the gustness factor
Table;The coastal wind speed profile figure of existing power grid is drawn according to the gustness factor conversion table, it is coastal to propose a kind of power grid
The group method that regional typhoon gustiness distribution map is drawn.
Fig. 6 is referred to, Fig. 6 is the schematic diagram for the power grid wind speed profile figure rendering apparatus that third embodiment of the invention provides,
For executing power grid wind speed profile drawing drawing method provided in an embodiment of the present invention, as shown in figure 4, the power grid wind speed profile figure is drawn
Terminal device processed includes: at least one processor 11, such as CPU, at least one network interface 14 or other users interface 13,
Memory 15, at least one communication bus 12, communication bus 12 is for realizing the connection communication between these components.Wherein, it uses
Family interface 13 optionally may include USB interface and other standards interface, wireline interface.Network interface 14 optionally can wrap
Include Wi-Fi interface and other wireless interfaces.Memory 15 may include high speed RAM memory, it is also possible to further include non-shakiness
Fixed memory (non-volatilememory), for example, at least a magnetic disk storage.Memory 15 optionally may include
At least one is located remotely from the storage device of aforementioned processor 11.
In some embodiments, memory 15 stores following element, executable modules or data structures, or
Their subset or their superset:
Operating system 151 includes various system programs, for realizing various basic businesses and hardware based of processing
Business;
Program 152.
Specifically, processor 11 executes electricity described in above-described embodiment for calling the program 152 stored in memory 15
Net wind speed profile drawing drawing method.
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor is the control centre of the power grid wind speed profile drawing drawing method, whole using various interfaces and connection
The various pieces of a power grid wind speed profile drawing drawing method.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, realizes power grid
The various functions for the electronic device that wind speed profile figure is drawn.The memory can mainly include storing program area and storing data
Area, wherein storing program area can application program needed for storage program area, at least one function (such as sound-playing function,
Text conversion function etc.) etc.;Storage data area, which can be stored, uses created data (such as audio data, text according to mobile phone
Word message data etc.) etc..In addition, memory may include high-speed random access memory, it can also include non-volatile memories
Device, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
Wherein, it is realized in the form of SFU software functional unit and makees if the power grid wind speed profile figure draws integrated module
It is independent product when selling or using, can store in a computer readable storage medium.Based on this understanding,
The present invention realizes all or part of the process in above-described embodiment method, can also be instructed by computer program relevant hard
Part is completed, and the computer program can be stored in a computer readable storage medium, which is being located
It manages when device executes, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program generation
Code, the computer program code can be source code form, object identification code form, executable file or certain intermediate forms
Deng.The computer-readable medium may include: any entity or device, record that can carry the computer program code
Medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), with
Machine access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..
It should be noted that the content that the computer-readable medium includes can be according to legislation and patent practice in jurisdiction
It is required that carrying out increase and decrease appropriate, such as in certain jurisdictions, do not wrapped according to legislation and patent practice, computer-readable medium
Include electric carrier signal and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
It should be noted that in the above-described embodiments, all emphasizing particularly on different fields to the description of each embodiment, in some embodiment
In the part that is not described in, reference can be made to the related descriptions of other embodiments.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related movement and simulation must be that the present invention must
Must.
Claims (8)
1. a kind of power grid wind speed profile drawing drawing method characterized by comprising
Obtain meteorological station Landed Typhoon when air speed data and the meteorological station around topographic(al) data;
Peak gust coefficient value range is calculated according to the air speed data;
Peak gust coefficient conversion table is obtained according to the topographic(al) data and peak gust coefficient;
The coastal wind speed profile figure of existing power grid is drawn according to peak gust coefficient conversion table, to obtain maximum instantaneous
Wind speed profile figure.
2. power grid wind speed profile drawing drawing method according to claim 1, which is characterized in that acquisition meteorological observatory platform
Air speed data includes: with the topographic(al) data around the meteorological station when wind logs in
Air speed data when obtaining the meteorological station Landed Typhoon include instantaneous wind speed data and when the mean wind speed away from 10min
Data;
Obtaining the topographic(al) data around the meteorological station includes sea, island, offshore, tableland, jungle.
3. power grid wind speed profile drawing drawing method according to claim 2, which is characterized in that described according to the wind speed number
Include: according to peak gust coefficient range is calculated
According to the maximum instantaneous wind speed data and it is described when the mean wind speed ratio away from 10min obtain peak gust coefficient;
Using conic section to it is each described when away from peak gust coefficient under the mean wind speed of 10min to carry out curve quasi-
It closes, obtains the curve that peak gust coefficient changes with mean wind speed;
According to the curve-fitting results that peak gust coefficient changes with mean wind speed, away from 10min's when calculating different
Peak gust coefficient value range of average wind.
4. power grid wind speed profile drawing drawing method according to claim 3, which is characterized in that described to be provided according to the landform
Material and the gustness factor obtain peak gust coefficient conversion table and include:
Underlying surface is divided into sea, island, offshore, tableland, five class underground properties of jungle according to the topographic(al) data;
The corresponding peak gust coefficient value model of the five classes underground properties is obtained according to the gustness factor value range
It encloses, obtains peak gust coefficient conversion table.
5. power grid wind speed profile drawing drawing method according to claim 1, which is characterized in that described according to the fitful wind system
Number conversion table draws the coastal wind speed profile figure of existing power grid, includes: to obtain maximum instantaneous power distribution map
Peak gust system away from 10min average wind when obtaining the difference of different underlying surface feature according to the gustness factor conversion table
Number value range;
Corresponding peak gust coefficient is acquired according to peak gust coefficient value range;
Multiplied by corresponding peak gust coefficient on the existing coastal wind speed profile figure of power grid, to realize to existing power grid
The drafting of coastal wind speed profile figure, to obtain maximum instantaneous power distribution map.
6. a kind of power grid wind speed profile figure drawing apparatus characterized by comprising
Module is obtained, topographic(al) data when for obtaining meteorological station Landed Typhoon around air speed data and the meteorological station;
Computing module, for calculating peak gust coefficient value range according to the air speed data;
Conversion table obtains module, for obtaining peak gust coefficient conversion according to the topographic(al) data and peak gust coefficient
Table;
Drafting module, for being drawn according to peak gust coefficient conversion table to the coastal wind speed profile figure of existing power grid,
To obtain maximum instantaneous power distribution map.
7. a kind of power grid wind speed profile figure rendering apparatus, including processor, memory and storage in the memory and by
It is configured to the computer program executed by the processor, is realized when the processor executes the computer program as right is wanted
Power grid wind speed profile drawing drawing method described in asking any one of 1 to 5.
8. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein equipment where controlling the computer readable storage medium in computer program operation is executed as weighed
Benefit require any one of 1 to 5 described in power grid wind speed profile drawing drawing method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810526104.4A CN109035361B (en) | 2018-05-28 | 2018-05-28 | Method, device, equipment and medium for drawing wind speed distribution diagram of power grid |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810526104.4A CN109035361B (en) | 2018-05-28 | 2018-05-28 | Method, device, equipment and medium for drawing wind speed distribution diagram of power grid |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109035361A true CN109035361A (en) | 2018-12-18 |
CN109035361B CN109035361B (en) | 2023-04-21 |
Family
ID=64611408
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810526104.4A Active CN109035361B (en) | 2018-05-28 | 2018-05-28 | Method, device, equipment and medium for drawing wind speed distribution diagram of power grid |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109035361B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112632799A (en) * | 2021-01-06 | 2021-04-09 | 国核电力规划设计研究院有限公司 | Method and device for valuing design wind speed of power transmission line |
CN116449456A (en) * | 2022-10-31 | 2023-07-18 | 中国气象局广州热带海洋气象研究所(广东省气象科学研究所) | Gust forecast output method, gust forecast output device, computer equipment and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1193824A (en) * | 1997-09-16 | 1999-04-06 | Kansai Electric Power Co Inc:The | Wind power generation system proper place selecting method |
CN102254239A (en) * | 2011-06-01 | 2011-11-23 | 福建省电力有限公司 | Power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect |
CN103336860A (en) * | 2013-06-07 | 2013-10-02 | 国家电网公司 | Generation method for grid wind speed distribution map |
CN104573363A (en) * | 2015-01-05 | 2015-04-29 | 南方电网科学研究院有限责任公司 | Spatial value taking method for designed wind speed of overhead transmission line in coastal region |
CN105095589A (en) * | 2015-08-10 | 2015-11-25 | 贵州电网有限责任公司电力科学研究院 | Drawing method of power network wind zone distribution map in mountainous area |
CN106991247A (en) * | 2017-04-17 | 2017-07-28 | 云南电网有限责任公司电力科学研究院 | The method for drafting and system of a kind of power network windburn distribution map |
-
2018
- 2018-05-28 CN CN201810526104.4A patent/CN109035361B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1193824A (en) * | 1997-09-16 | 1999-04-06 | Kansai Electric Power Co Inc:The | Wind power generation system proper place selecting method |
CN102254239A (en) * | 2011-06-01 | 2011-11-23 | 福建省电力有限公司 | Power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect |
CN103336860A (en) * | 2013-06-07 | 2013-10-02 | 国家电网公司 | Generation method for grid wind speed distribution map |
CN104573363A (en) * | 2015-01-05 | 2015-04-29 | 南方电网科学研究院有限责任公司 | Spatial value taking method for designed wind speed of overhead transmission line in coastal region |
CN105095589A (en) * | 2015-08-10 | 2015-11-25 | 贵州电网有限责任公司电力科学研究院 | Drawing method of power network wind zone distribution map in mountainous area |
CN106991247A (en) * | 2017-04-17 | 2017-07-28 | 云南电网有限责任公司电力科学研究院 | The method for drafting and system of a kind of power network windburn distribution map |
Non-Patent Citations (2)
Title |
---|
厉天威 等: "南方电网沿海地区输电线路设计风速分析", 《南方电网技术》 * |
黄洁亭: "不同气象地形条件下风速概率分布模型研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112632799A (en) * | 2021-01-06 | 2021-04-09 | 国核电力规划设计研究院有限公司 | Method and device for valuing design wind speed of power transmission line |
CN112632799B (en) * | 2021-01-06 | 2024-01-26 | 国核电力规划设计研究院有限公司 | Method and device for evaluating design wind speed of power transmission line |
CN116449456A (en) * | 2022-10-31 | 2023-07-18 | 中国气象局广州热带海洋气象研究所(广东省气象科学研究所) | Gust forecast output method, gust forecast output device, computer equipment and storage medium |
CN116449456B (en) * | 2022-10-31 | 2024-02-27 | 中国气象局广州热带海洋气象研究所(广东省气象科学研究所) | Gust forecast output method, gust forecast output device, computer equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN109035361B (en) | 2023-04-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Alizadeh et al. | Multistage multiresolution robust unit commitment with nondeterministic flexible ramp considering load and wind variabilities | |
CN104951489A (en) | Meteorological data analyzing and processing method applied to power system | |
CN109035361A (en) | Method, device, equipment and medium for drawing power grid wind speed distribution diagram | |
CN111509700B (en) | Power grid operation management method and device based on electricity price prediction | |
Miettinen et al. | Characteristics of day‐ahead wind power forecast errors in Nordic countries and benefits of aggregation | |
Villalba et al. | Wave farms grid code compliance in isolated small power systems | |
CN110310361A (en) | Buildings model live transmission method, storage medium, equipment and system | |
CN107944774A (en) | A kind of Construction of Wind Power scheme optimization system | |
Kane et al. | An assessment of principles of access for wind generation curtailment in active network management schemes | |
CN109190150B (en) | Differentiation windproof evaluation method, device, equipment and medium for old line | |
CN113869804B (en) | Power grid equipment risk early warning method and system under flood disaster | |
CN115310679A (en) | Optimal scheduling method, device, storage medium and system for power resources | |
Yu et al. | Long-term hydrothermal scheduling using composite thermal and composite hydro representations | |
McQueen et al. | Quantifying benefits of wind power diversity in New Zealand | |
Haces-Fernandez et al. | Assessment of Wind Energy in the United States Gulf of Mexico Area as Power Supply for Offshore Oil Platforms | |
CN107564996A (en) | Dicing method and terminal device | |
Armstrong et al. | Estimating the cost of land base changes due to wildfire using shadow prices | |
CN111598394A (en) | Method and system for monitoring forest fire hidden danger of power transmission line | |
CN108665517A (en) | Power grid wind speed distribution diagram repairing and editing method, device, equipment and medium | |
CN104156773A (en) | Wind power super set forecasting system | |
Diniz et al. | An exact multi-plant hydro power production function for mid/long term hydrothermal coordination | |
CN215416912U (en) | Network publishing system for forest fire danger grade forecast | |
Slegers et al. | Identification of optimal wind farm sites for a high wind penetration future | |
CN108011984A (en) | A kind of weather monitoring system based on docker | |
CN107237721A (en) | Wind electric field blower method for arranging and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |