CN110486225A - The calculation method and device of Wind turbines power curve - Google Patents

The calculation method and device of Wind turbines power curve Download PDF

Info

Publication number
CN110486225A
CN110486225A CN201910836428.2A CN201910836428A CN110486225A CN 110486225 A CN110486225 A CN 110486225A CN 201910836428 A CN201910836428 A CN 201910836428A CN 110486225 A CN110486225 A CN 110486225A
Authority
CN
China
Prior art keywords
power curve
wind
conversion
speed data
air speed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910836428.2A
Other languages
Chinese (zh)
Inventor
褚景春
袁凌
董健
牟金磊
罗方正
李润祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guodian United Power Technology Co Ltd
Original Assignee
Guodian United Power Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guodian United Power Technology Co Ltd filed Critical Guodian United Power Technology Co Ltd
Priority to CN201910836428.2A priority Critical patent/CN110486225A/en
Publication of CN110486225A publication Critical patent/CN110486225A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D7/00Controlling wind motors 
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/10Purpose of the control system
    • F05B2270/103Purpose of the control system to affect the output of the engine
    • F05B2270/1033Power (if explicitly mentioned)
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

The invention relates to the calculation methods and device of a kind of Wind turbines power curve.The described method includes: distinguishing the conversion of value region to collected air speed data according to the collected atmospheric density of wind field;According to the corresponding relationship between the air speed data and generated energy after conversion, dynamic power curve is drawn.The accuracy of Wind turbines generated energy calculating during wind-resources assessment can be improved in the calculation method and device of Wind turbines power curve provided by the invention.

Description

The calculation method and device of Wind turbines power curve
Technical field
The present invention relates to technical field of wind power generation, a kind of calculation method more particularly to Wind turbines power curve and Device.
Background technique
With the fast development of wind-powered electricity generation industry, variable speed constant frequency doubly-fed Wind turbines have become the master of current wind-powered electricity generation industry development Flow device.The power curve of wind power generating set is generally used to measure the economic and technique level of Wind turbines, examines Wind turbines Performance assesses Wind turbines generating capacity.Therefore, the accuracy and reliability of power curve is basis and key.
In design wind power plant early period, wind power plant developer, designing institute, third party consulting mechanism can not be obtained or be updated more A equipment manufacturer, a variety of Wind turbines special air density under power curve, and then can not accurate evaluation wind power plant hair Electricity seriously affects the design of project feasibility study and assessment.
For certain double-fed fan motor unit, seek fast and accurately power curve calculation method, it is intended to improve wind-resources assessment The accuracy that Wind turbines generated energy calculates in the process establishes power curve data library for specific wind power plant batch, solves early period Data information problem in assessment.
Summary of the invention
The technical problem to be solved in the present invention is to provide the calculation methods and device of a kind of Wind turbines power curve, pass through The accuracy of Wind turbines generated energy calculating during wind-resources assessment can be improved in conversion to actual measurement air speed data.
In order to solve the above technical problems, the present invention provides a kind of calculation method of Wind turbines power curve, the side Method includes: that the conversion of value region is distinguished to collected air speed data according to the collected atmospheric density of wind field;According to The corresponding relationship between air speed data and generated energy after conversion draws dynamic power curve.
In some embodiments, according to the collected atmospheric density of wind field, collected air speed data is distinguished The conversion of value region, comprising: according to predetermined value region critical point, the value interval of air speed data is divided into more A different value region;Different value regions converts air speed data using different conversion functions.
In some embodiments, the value region critical point includes: intermediate value region upper critical point and intermediate value area Domain lower limit critical point.
In some embodiments, different value regions rolls over air speed data using different conversion functions Calculate, comprising: when collected wind speed is less than the lower limit critical point of intermediate value region, according to following conversion function, to air speed data into Row conversion:
ρv2.5=const
Wherein, ρ is atmospheric density, and v is the wind speed after conversion.
In some embodiments, different value regions rolls over air speed data using different conversion functions It calculates, comprising: when collected wind speed is in intermediate value region, according to following conversion function, air speed data is converted:
Wherein, ρ is atmospheric density, and v is the wind speed after conversion, and x is actual measurement wind speed.
In some embodiments, different value regions rolls over air speed data using different conversion functions Calculate, comprising: when collected wind speed is greater than intermediate value region upper critical point, according to following conversion function, to air speed data into Row conversion:
ρv2=const
Wherein, ρ is atmospheric density, and v is the wind speed after conversion.
In addition, the present invention also provides a kind of computing device of Wind turbines power curve, described device include: one or Multiple processors;Storage device, for storing one or more programs, when one or more of programs are by one or more A processor executes, so that one or more of processors realize the calculating side of Wind turbines power curve as previously described Method.
By adopting such a design, the present invention has at least the following advantages:
(1), it can be improved the accuracy that Wind turbines generated energy calculates during wind-resources assessment;
(2), the power curve under different atmospheric density can be quickly calculated, zero cost is greatly saved software and hardware resources and accounted for With and waste;
(3), power curve data library can be established for specific wind field batch, improves working efficiency;
(4), wind power plant developer can be assisted to make quantization judgement to the authenticity of power curve in bidding process;
(5), the power curve demand in wind power plant in a variety of Wind turbines mixing design schemes can be effectively solved, before solution Data information problem in phase assessment.
Detailed description of the invention
The above is merely an overview of the technical solutions of the present invention, in order to better understand the technical means of the present invention, below In conjunction with attached drawing, the present invention is described in further detail with specific embodiment.
Fig. 1 is the flow chart of the calculation method of Wind turbines power curve provided by the invention;
Fig. 2 is dynamic power curve graph under the different atmospheric density that the prior art provides;
Fig. 3 is the changing rule figure of index y provided by the invention.
Specific embodiment
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
The present invention provides a kind of calculation methods of Wind turbines power curve.Fig. 1 shows Wind turbines power curve Calculation method flow chart.Referring to Fig. 1, the calculation method of Wind turbines power curve includes:
S11 distinguishes the folding of value region to collected air speed data according to the collected atmospheric density of wind field It calculates.
S12 draws dynamic power curve according to the corresponding relationship between the air speed data and generated energy after conversion.
According to the definition of IEC61400-12 standard, the power curve of wind power generating set be unit 10min output power with The relation curve of 10min mean wind speed variation can be obtained by way of actual test and software simulation.When being simulated according to software Used different settings, and static power curve and dynamic power curve can be divided into.Wherein, static power curve is being calculated When only consider wind wheel characteristic;And when calculating dynamic power curve, in addition to considering wind wheel characteristic, it is also necessary to consider arrives stream wind speed spy Property and unit allocation scheme.Dynamic power curve is generally used in Wind Power Project assessment at present.
Below with certain double-fed fan motor unit, by analyzing the Wind turbines generated energy under different atmospheric density, always The changing rule of power curve under different atmospheric density is tied, to reach set objective.
According to certain double-fed fan motor unit in 0.85kg/m3、1.05kg/m3And 1.4kg/m3Dynamic under three kinds of atmospheric density Power curve.The dynamic power curve by Fig. 2 shows.With the variation of atmospheric density, certain regularity is presented in power curve Variation.
By the comparison to power curve under different atmospheric density, the available equivalent wind speed for generated energy converts rule It restrains as follows:
When wind speed is less than θ m/s, the conversion of wind speed is carried out using formula (1);When wind speed is between θ m/s and β m/s, The conversion of wind speed is carried out using formula (2);When wind speed is greater than β m/s, the conversion of wind speed is carried out using formula (3).In ρ < 0.95kg/ m3When, 9.5 < β < 13.5;In 0.95kg/m3<ρ<1.05kg/m3When, 9 < β < 11;In ρ > 1.05kg/m3When, 8 < β < 11.
ρv2.5=const (1)
ρv2=const (3)
Using rayleigh distributed, compare (V=7, K=2, table 1) using the calculating that two sets of data of conversion front and back carry out generated energy:
Table 1
By multiple authentication, for the equivalent wind speed conversion rule confidence level with higher of generated energy.Thus can pass through Dynamic power curve under standard air density calculates the dynamic power curve under any atmospheric density.
By taking the wind field of Yunnan as an example, using the complete annual data of anemometer tower, it is utilized respectively following several algorithms and calculates generated energy, Referring to table 2.
Method one: the calculating of generated energy is carried out using specific site power curve;
Method two: wind speed is converted using method in optimal control, carries out the calculating of generated energy;
Method three: using control methods conversion wind speed of tabling look-up, the calculating of generated energy is carried out;
Method four: carrying out the calculating of generated energy according to the power curve under standard state, and following formula (4) is recycled to carry out Conversion.
Table 2
The calculating of generated energy is carried out using the equivalent wind speed conversion rule for generated energy, error is relatively small.
The invention proposes a kind of calculation methods of the Wind turbines power curve under special air density.Specific turbulent flow etc. Dynamic power curve under grade all shows certain rule with air density change.Under different atmospheric density, generated energy are waited The relationship of corresponding wind speed and atmospheric density is between wind energy and wind speed, i.e. ρ vyY is between 2~3 in=const, and Increase with wind speed is in the trend of " stabilization-reduction-is stablized ".It specifically may refer to Fig. 3.For the wind-powered electricity generation using control methods of tabling look-up Unit, the calculating converted by power curve, obtained generated energy is close to true value.
The present invention also provides a kind of computing devices of Wind turbines power curve.The calculating of Wind turbines power curve fills Setting includes: central processing unit (CPU), can be according to the program being stored in read-only memory (ROM) or from storage unit Divide the program being loaded into random access storage device (RAM) and executes various movements appropriate and processing.In RAM, also store There are various programs and data needed for system operatio.CPU, ROM and RAM are connected with each other by bus.Input/output (I/O) Interface is also connected to bus.
I/O interface is connected to lower component: the importation including keyboard, mouse etc.;Including such as cathode-ray tube (CRT), the output par, c of liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section including hard disk etc.;And including all Such as communications portion of the network interface card of LAN card, modem.Communications portion executes logical via the network of such as internet Letter processing.Driver is also connected to I/O interface as needed.Detachable media, such as disk, CD, magneto-optic disk, semiconductor are deposited Reservoir etc. is installed as needed on a drive, in order to be mounted into as needed from the computer program read thereon Storage section.
Particularly, according to embodiments of the present invention, it is soft to may be implemented as computer for the process above with reference to flow chart description Part program.For example, the embodiment of the present invention includes a kind of computer program product comprising carrying is on a computer-readable medium Computer program, which includes the program code for method shown in execution flow chart.In such implementation In example, which can be downloaded and installed from network by communications portion, and/or be pacified from detachable media Dress.When the computer program is executed by central processing unit (CPU), the above-mentioned function of limiting in method of the invention is executed. It should be noted that computer-readable medium of the invention can be computer-readable signal media or computer-readable storage Medium either the two any combination.Computer readable storage medium for example may be-but not limited to-electricity, Magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Computer-readable storage The more specific example of medium can include but is not limited to: have electrical connection, the portable computer magnetic of one or more conducting wires Disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or sudden strain of a muscle Deposit), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned appoint The suitable combination of meaning.In the present invention, computer readable storage medium can be any tangible medium for including or store program, The program can be commanded execution system, device or device and use or be used in combination.And in the present invention, it is computer-readable Signal media may include in a base band or as carrier wave a part propagate data-signal, wherein carry calculate it is readable Program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal, optical signal or on Any appropriate combination stated.Computer-readable signal media can also be any meter other than computer readable storage medium Calculation machine readable medium, the computer-readable medium can send, propagate or transmit for by instruction execution system, device or Device uses or program in connection.The program code for including on computer-readable medium can be with any appropriate Medium transmission, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box The function of note can also occur in a different order than that indicated in the drawings.For example, the box of two a sequence of expressions is actually Execution that can be substantially parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and/or flow chart can be with holding The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction Combination realize.
Being described in unit involved in the embodiment of the present invention can be realized by way of software, can also be by hard The mode of part is realized.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, this Field technical staff makes a little simple modification, equivalent variations or modification using the technology contents of the disclosure above, all falls within this hair In bright protection scope.

Claims (7)

1. a kind of calculation method of Wind turbines power curve characterized by comprising
According to the collected atmospheric density of wind field, the conversion of value region is distinguished to collected air speed data;
According to the corresponding relationship between the air speed data and generated energy after conversion, dynamic power curve is drawn.
2. the calculation method of Wind turbines power curve according to claim 1, which is characterized in that collected according to wind field Atmospheric density, the conversion of value region is distinguished to collected air speed data, comprising:
According to predetermined value region critical point, the value interval of air speed data is divided into multiple and different numerical value areas Domain;
Different value regions converts air speed data using different conversion functions.
3. the calculation method of Wind turbines power curve according to claim 2, which is characterized in that the value region is faced Boundary's point includes: intermediate value region upper critical point and the lower limit critical point of intermediate value region.
4. the calculation method of Wind turbines power curve according to claim 3, which is characterized in that different numerical value areas Air speed data is converted using different conversion functions in domain, comprising:
When collected wind speed is less than the lower limit critical point of intermediate value region, according to following conversion function, air speed data is rolled over It calculates:
ρv2.5=const
Wherein, ρ is atmospheric density, and v is the wind speed after conversion.
5. the calculation method of Wind turbines power curve according to claim 3, which is characterized in that different numerical value areas Air speed data is converted using different conversion functions in domain, comprising:
When collected wind speed is in intermediate value region, according to following conversion function, air speed data is converted:
Wherein, ρ is atmospheric density, and v is the wind speed after conversion, and x is actual measurement wind speed.
6. the calculation method of Wind turbines power curve according to claim 3, which is characterized in that different numerical value areas Air speed data is converted using different conversion functions in domain, comprising:
When collected wind speed is greater than intermediate value region upper critical point, according to following conversion function, air speed data is rolled over It calculates:
ρv2=const
Wherein, ρ is atmospheric density, and v is the wind speed after conversion.
7. a kind of computing device of Wind turbines power curve characterized by comprising
One or more processors;
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real Now according to claim 1 to the calculation method of Wind turbines power curve described in 6 any one.
CN201910836428.2A 2019-09-05 2019-09-05 The calculation method and device of Wind turbines power curve Pending CN110486225A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910836428.2A CN110486225A (en) 2019-09-05 2019-09-05 The calculation method and device of Wind turbines power curve

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910836428.2A CN110486225A (en) 2019-09-05 2019-09-05 The calculation method and device of Wind turbines power curve

Publications (1)

Publication Number Publication Date
CN110486225A true CN110486225A (en) 2019-11-22

Family

ID=68556617

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910836428.2A Pending CN110486225A (en) 2019-09-05 2019-09-05 The calculation method and device of Wind turbines power curve

Country Status (1)

Country Link
CN (1) CN110486225A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102967400A (en) * 2012-12-10 2013-03-13 北京普华亿能风电技术有限公司 Wind turbine generator power characteristic testing method under complex terrain
CN103696913A (en) * 2013-12-31 2014-04-02 西安热工研究院有限公司 Method for monitoring wind power utilization deviation in real time during running of wind turbines
CN104156575A (en) * 2014-07-28 2014-11-19 国家电网公司 Method for calculating theoretical power of wind farm on basis of extrapolation of anemometer tower data
WO2014197671A1 (en) * 2013-06-05 2014-12-11 WindLogics Inc. Wind farm prediction of potential and actual power generation
WO2019148770A1 (en) * 2018-01-31 2019-08-08 北京金风科创风电设备有限公司 Cut-out strategy adaptive adjustment method and apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102967400A (en) * 2012-12-10 2013-03-13 北京普华亿能风电技术有限公司 Wind turbine generator power characteristic testing method under complex terrain
WO2014197671A1 (en) * 2013-06-05 2014-12-11 WindLogics Inc. Wind farm prediction of potential and actual power generation
CN103696913A (en) * 2013-12-31 2014-04-02 西安热工研究院有限公司 Method for monitoring wind power utilization deviation in real time during running of wind turbines
CN104156575A (en) * 2014-07-28 2014-11-19 国家电网公司 Method for calculating theoretical power of wind farm on basis of extrapolation of anemometer tower data
WO2019148770A1 (en) * 2018-01-31 2019-08-08 北京金风科创风电设备有限公司 Cut-out strategy adaptive adjustment method and apparatus

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
牟金磊等: "特定空气密度下的功率曲线变化趋势分析及应用研究", 《道客巴巴在线文档分享平台》 *

Similar Documents

Publication Publication Date Title
US9165092B2 (en) Wind farm layout in consideration of three-dimensional wake
CN110413533A (en) AB test method, system, equipment and storage medium
US11784489B2 (en) Supply and demand adjustment monitoring device of power grid and supply and demand adjustment monitoring method for power grid
CN109634833A (en) A kind of Software Defects Predict Methods and device
CN108228463A (en) For detecting the method and apparatus of initial screen time
CN108062302A (en) A kind of recognition methods of particular text information and device
CN110096630A (en) Big data processing method of the one kind based on clustering
CN107392259A (en) The method and apparatus for building unbalanced sample classification model
CN107748691A (en) Virtual machine deployment method, device, equipment and computer-readable recording medium
CN110263791A (en) A kind of method and apparatus in identification function area
CN103389964B (en) Apparatus and method for solving mathematical programming problem
CN110486225A (en) The calculation method and device of Wind turbines power curve
CN103399799A (en) Computational physics resource node load evaluation method and device in cloud operating system
CN107222313B (en) A kind of E-Government cloud service expense calculates monitoring method and system
CN113094997A (en) Wind turbine generator operation simulation method, device, equipment and storage medium
CN102902840B (en) Method for sharing simulation data of power system
CN108600237A (en) Identity identifying method, device and medium
CN117290679A (en) Running state detection method and device of current transformer and electronic equipment
CN110445191A (en) With the electric system generator group frequency modulation non-firm power distribution method of support vector machines
CN109901919A (en) Information output method and device
CN109583107A (en) Low wind speed intelligent optimization method, device and the storage medium of flexible tower
CN110990963A (en) Fan interval optimization method and device and computer readable storage medium
CN115063255B (en) Operation and maintenance resource optimal allocation method, device and system for offshore wind farm
US20230092978A1 (en) Resource Tapping Method, Resource Tapping Apparatus and Electronic Device
CN110197314A (en) A kind of dispatching method 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
RJ01 Rejection of invention patent application after publication

Application publication date: 20191122

RJ01 Rejection of invention patent application after publication