CN109185057B - Model selection method for motor and driver of variable pitch system of wind generating set - Google Patents
Model selection method for motor and driver of variable pitch system of wind generating set Download PDFInfo
- Publication number
- CN109185057B CN109185057B CN201810952032.XA CN201810952032A CN109185057B CN 109185057 B CN109185057 B CN 109185057B CN 201810952032 A CN201810952032 A CN 201810952032A CN 109185057 B CN109185057 B CN 109185057B
- Authority
- CN
- China
- Prior art keywords
- blade
- torque
- rotating speed
- root
- mean square
- 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.)
- Active
Links
- 238000010187 selection method Methods 0.000 title claims abstract description 8
- 238000004088 simulation Methods 0.000 claims abstract description 21
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 238000010586 diagram Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 10
- 238000005070 sampling Methods 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/022—Adjusting aerodynamic properties of the blades
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Wind Motors (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
A model selection method for a motor and a driver of a variable pitch system of a wind generating set comprises the steps of establishing a simulation model on a simulation platform, carrying out simulation calculation, and outputting a blade root load data time sequence file under each working condition; respectively calculating 1s root mean square value time sequences of blade root torque, blade rotating speed and blade mechanical power of each time sequence file under each working condition, and calculating 600s root mean square value time sequences of blade root torque, blade rotating speed and blade mechanical power of each time sequence file under each working condition; drawing an envelope curve of a midpoint of a torque-rotating speed scatter diagram, selecting a variable pitch motor and a driver according to the envelope curve, wherein a 1s root mean square value is used for determining a limit parameter, namely a maximum torque of the motor and a short-time output maximum current parameter of the corresponding driver when the maximum torque is achieved; the root mean square value of 600s is used to determine the nominal parameters, i.e. the nominal torque of the electric machine and the nominal output current parameters of the corresponding drive at the nominal torque. The invention solves the problem of determining the type selection of the variable pitch motor and the driver of the wind generating set.
Description
Technical Field
The invention belongs to the technical field of wind power generation, and particularly relates to a type selection method for a motor and a driver of a variable pitch system of a wind generating set.
Background
Through the rapid development of wind power technology in China for over ten years, wind turbine generators gradually develop towards a single machine with large capacity and large blades, and face the whole machine manufacturing pressure with reduced cost and high efficiency. The variable pitch control system is an important device for controlling and protecting the wind generating set above MW level, is a main brake system for stopping the fan, and is of great importance to the operation safety of the whole machine. The motor and the driver are main power devices of a variable pitch system of the wind driven generator, and the design mode of the variable pitch system of the motor of the variable pitch system can not meet the requirement gradually by simply selecting the maximum driving torque and the rated driving torque of the variable pitch system in the past.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a model selection method for a motor and a driver of a variable pitch system of a wind generating set, which aims to solve the problems that the model selection of the variable pitch motor and the driver of the wind generating set is not suitable, and the variable pitch system is unreliable in work or has overlarge margin to cause high system cost because the existing method cannot accurately calculate and determine the parameters of the variable pitch motor and the driver of the wind generating set.
To solve the above problems, the method of the present invention comprises the steps of:
a model selection method for a motor and a driver of a pitch system of a wind generating set is characterized by comprising the following steps:
step 1: establishing a simulation model of the wind generating set on a simulation platform according to the component parameters of the wind generating set;
and step 3: respectively calculating blade root torque, blade rotating speed and 1s root mean square value time sequence of the mechanical power of the blade of each load time sequence file under each working condition, and respectively taking out three groups of data including the blade root torque and the corresponding blade rotating speed and the corresponding mechanical power of the blade when the blade root torque of the 1s root mean square value time sequence of each load time sequence file is maximum, the blade rotating speed and the corresponding blade root torque and the corresponding mechanical power of the blade when the blade rotating speed is maximum, and the mechanical power and the corresponding blade root torque and the corresponding blade rotating speed of the blade when the blade mechanical power is maximum;
respectively calculating 600s root mean square value time sequences of the blade root torque, the blade rotating speed and the blade mechanical power of each time sequence file under each working condition, and respectively taking out three groups of data including the blade root torque and the corresponding blade rotating speed and the corresponding blade mechanical power when the blade root torque of the 600s root mean square value time sequences of each time sequence file is maximum, the blade rotating speed and the corresponding blade root torque and the corresponding blade mechanical power when the blade rotating speed is maximum, and the blade root torque and the corresponding blade rotating speed when the blade mechanical power is maximum;
and 4, step 4: drawing a scatter diagram of blade root torque and blade rotating speed in a torque-rotating speed coordinate system in three groups of data of 1s root mean square value output by each working condition;
drawing a scatter diagram of blade root torque and blade rotating speed in a torque-rotating speed coordinate system in three groups of data of 600s root mean square value output by each working condition;
and 5: drawing an envelope curve of the midpoint of the scatter diagram in the step 4;
step 6: selecting a variable pitch motor and a driver according to an envelope curve, wherein the root mean square value of 1s is used for determining a limit parameter, namely a maximum torque of the motor and a short-time output maximum current parameter of the corresponding driver when the maximum torque is achieved; the root mean square value of 600s is used for determining rated parameters, namely the rated torque of the motor and the rated output current parameter of a corresponding driver during the rated torque;
and 7: the rated torque-rotating speed characteristic curve which can be output by the selected motor and the selected driver can envelop and cover 600s root mean square envelope curves of all working conditions, namely the selected motor and the selected driver can meet the requirement of system thermal design;
the maximum torque-rotating speed characteristic curve which can be output by the selected driver and the motor can envelop and cover 1s root mean square envelope curves of all working conditions, namely the selected motor and the selected driver can meet the requirement of short-time overload of a system; and finishing the model selection.
The invention further comprises the following preferred embodiments:
in step 1, the simulation platform used includes, but is not limited to, bladed, matlab, or FAST.
In the step 2, the setting of the working condition of the wind generating set refers to setting the environment and the electrical condition which influence the load, the service life and the operation of the wind generating set in the simulation environment; environmental conditions can be further divided into wind conditions and other environmental conditions, electrical conditions referring to grid conditions.
In step 3, the root mean square value calculation formula of the blade root torque, the blade rotating speed and the blade mechanical power in 1s/600s is as follows:
Tc(i) ith data (Nm) which is blade and root torque data in the load time sequence file; sc(i) The ith data (r/min) of the blade rotating speed data in the load time sequence file; t is time data in the load time sequence file, namely the starting moment of the root mean square value calculation; n is the number of sampling points in the period of calculating the root mean square value; t isRMS(i) Calculating a torque effective value (Nm) for the RMS value at n sample points in the period; sRMS(i) Calculating the effective value (r/min) of the rotating speed of the blade when n sampling points exist in the period for the root mean square value; pRMS(i) And calculating the effective value (kW) of the mechanical power when n sampling points exist in the period for the root mean square value.
In step 3, three groups of data with root mean square values of 1s/600s are respectively:
① blade root Torque TRMS(Tmax)，SRMS(Tmax)，PRMS(Tmax)；
② maximum blade speed TRMS(Smax)，SRMS(Smax)，PRMS(Smax)；
③ maximum mechanical power TRMS(Pmax)，SRMS(Pmax)，PRMS(Pmax)；
And corresponding to a 1s root mean square value time sequence or a 600s root mean square value time sequence, wherein Tmax refers to the maximum torque of the blade root in the corresponding time sequence, Smax refers to the maximum rotating speed of the blade in the corresponding time sequence, and Pmax refers to the maximum mechanical power of the blade in the corresponding time sequence.
The invention has the following beneficial technical effects: the motor of the variable pitch system and the corresponding matched driver are selected more accurately, the type selection margin can be effectively reduced under the condition of ensuring the safety of the system, the manufacturing cost of the variable pitch system is reduced, and the market competitiveness is improved.
Drawings
FIG. 1 is a plotted 600s RMS scatter plot;
FIG. 2 is a plot of a 1s RMS scatter plot;
FIG. 3 is a drawn driving capability characteristic curve of a driving capability of a motor matched with a driver and an envelope curve of a 1s/600s RMS dispersion point;
FIG. 4 is a flow chart of a method for model selection of a pitch system drive and motor of the present invention;
Detailed Description
The technical scheme of the invention is further described in detail in the following with the accompanying drawings of the specification.
The invention discloses a type selection method of a driver and a motor of a variable pitch system as shown in the attached figure 4, which comprises the following steps: step 1: establishing a simulation model in the bladed according to the component parameters of the wind generating set;
besides the bladed, the simulation platform used may also include other platforms such as bladed/matlab or FAST.
the working condition setting of the wind generating set refers to setting the environment and the electrical condition which influence the load, the service life and the operation of the wind generating set in the simulation environment; environmental conditions can be further divided into wind conditions and other environmental conditions, electrical conditions referring to grid conditions.
And step 3: as shown in fig. 2, the blade root torque, the blade rotation speed and the 1s root mean square value time sequence of the blade mechanical power of each load time sequence file under each working condition are respectively calculated, and three groups of data including the blade root torque and the corresponding blade rotation speed and the corresponding blade mechanical power when the blade root torque of the 1s root mean square value time sequence of each load time sequence file is maximum, the blade rotation speed and the corresponding blade root torque and the corresponding blade mechanical power when the blade rotation speed is maximum, and the blade mechanical power and the corresponding blade root torque and the corresponding blade rotation speed when the blade mechanical power is maximum are respectively taken out;
as shown in the attached figure 1, 600s root mean square value time sequences of the blade root torque, the blade rotating speed and the blade mechanical power of each time sequence file under each working condition are respectively calculated, and three groups of data including the blade root torque and the corresponding blade rotating speed and the corresponding blade mechanical power when the blade root torque of the 600s root mean square value time sequence of each time sequence file is maximum, the blade rotating speed and the corresponding blade root torque and the corresponding blade mechanical power when the blade rotating speed is maximum, and the blade root torque and the corresponding blade rotating speed when the blade mechanical power is maximum are respectively taken out;
the root mean square value calculation formula of 1s/600s of the blade root torque, the blade rotating speed and the blade mechanical power is as follows:
Tc(i) ith data (Nm) which is blade and root torque data in the load time sequence file; sc(i) For blade speed data in a load time sequence fileThe ith data (r/min); t is time data in the load time sequence file, namely the starting moment of the root mean square value calculation; n is the number of sampling points in the period of calculating the root mean square value; t isRMS(i) Calculating a torque effective value (Nm) for the RMS value at n sample points in the period; sRMS(i) Calculating the effective value (r/min) of the rotating speed of the blade when n sampling points exist in the period for the root mean square value; pRMS(i) And calculating the effective value (kW) of the mechanical power when n sampling points exist in the period for the root mean square value.
In step 3, three groups of data with root mean square values of 1s/600s are respectively:
① blade root Torque TRMS(Tmax)，SRMS(Tmax)，PRMS(Tmax)；
② maximum blade speed TRMS(Smax)，SRMS(Smax)，PRMS(Smax)；
③ maximum mechanical power TRMS(Pmax)，SRMS(Pmax)，PRMS(Pmax)；
And corresponding to a 1s root mean square value time sequence or a 600s root mean square value time sequence, wherein Tmax refers to the maximum torque of the blade root in the corresponding time sequence, Smax refers to the maximum rotating speed of the blade in the corresponding time sequence, and Pmax refers to the maximum mechanical power of the blade in the corresponding time sequence.
And 4, step 4: as shown in the attached figure 3, a scatter diagram is drawn on the blade root torque and the blade rotating speed in the three groups of data of the root mean square value of 1s output by each working condition in a torque-rotating speed coordinate system;
drawing a scatter diagram of blade root torque and blade rotating speed in a torque-rotating speed coordinate system in three groups of data of 600s root mean square value output by each working condition;
and 5: as shown in fig. 3, envelope curves of the points in the scatter diagram in the step 4 are drawn, each working condition corresponds to a 1s root mean square envelope curve and a 600s root mean square envelope curve, all load values are on-line, and the top point of the upper right corner is a maximum power point;
step 6: selecting a variable pitch motor and a driver according to an envelope curve, wherein the root mean square value of 1s is used for determining a limit parameter, namely a maximum torque of the motor and a short-time output maximum current parameter of the corresponding driver when the maximum torque is achieved; the root mean square value of 600s is used for determining rated parameters, namely the rated torque of the motor and the rated output current parameter of a corresponding driver during the rated torque;
and 7: the rated torque-rotating speed characteristic curve which can be output by the selected motor and the selected driver can envelop and cover 600s root mean square envelope curves of all working conditions, namely the selected motor and the selected driver can meet the requirement of system thermal design;
the maximum torque-rotating speed characteristic curve which can be output by the selected driver and the motor can envelop and cover 1s root mean square envelope curves of all working conditions, namely the selected motor and the selected driver can meet the requirement of short-time overload of a system;
and finishing the model selection.
The foregoing detailed description and drawings are merely illustrative of the present invention for the purpose of facilitating a better understanding of the concepts of the invention, and are not intended to limit the scope of the invention. Variations of the invention may be made by those skilled in the art without departing from the spirit of the invention. Any modification or variation made without departing from the spirit of the present invention shall fall within the protection scope of the present invention.
Claims (5)
1. A model selection method for a motor and a driver of a pitch system of a wind generating set is characterized by comprising the following steps:
step 1: establishing a simulation model of the wind generating set on a simulation platform according to the component parameters of the wind generating set;
step 2, setting working conditions of the wind generating set according to IEC61400-1 standard and German Claus classification G L fan certification guidelines, carrying out simulation calculation, and outputting blade and root load data time sequence files under all working conditions, wherein simulation data in each load time sequence file comprises time data, blade position data, blade rotating speed data and blade and root torque data, and the simulation data is high-speed shaft data at the side of the variable pitch motor;
and step 3: respectively calculating blade root torque, blade rotating speed and 1s root mean square value time sequence of the mechanical power of the blade of each load time sequence file under each working condition, and respectively taking out three groups of data including the blade root torque and the corresponding blade rotating speed and the corresponding mechanical power of the blade when the blade root torque of the 1s root mean square value time sequence of each load time sequence file is maximum, the blade rotating speed and the corresponding blade root torque and the corresponding mechanical power of the blade when the blade rotating speed is maximum, and the mechanical power and the corresponding blade root torque and the corresponding blade rotating speed of the blade when the blade mechanical power is maximum;
respectively calculating 600s root mean square value time sequences of the blade root torque, the blade rotating speed and the blade mechanical power of each time sequence file under each working condition, and respectively taking out three groups of data including the blade root torque and the corresponding blade rotating speed and the corresponding blade mechanical power when the blade root torque of the 600s root mean square value time sequences of each time sequence file is maximum, the blade rotating speed and the corresponding blade root torque and the corresponding blade mechanical power when the blade rotating speed is maximum, and the blade root torque and the corresponding blade rotating speed when the blade mechanical power is maximum;
and 4, step 4: drawing a scatter diagram of blade root torque and blade rotating speed in a torque-rotating speed coordinate system in three groups of data of 1s root mean square value output by each working condition;
drawing a scatter diagram of blade root torque and blade rotating speed in a torque-rotating speed coordinate system in three groups of data of 600s root mean square value output by each working condition;
and 5: drawing an envelope curve of the midpoint of the scatter diagram in the step 4;
step 6: selecting a variable pitch motor and a driver according to an envelope curve, wherein the root mean square value of 1s is used for determining a limit parameter, namely a maximum torque of the motor and a short-time output maximum current parameter of the corresponding driver when the maximum torque is achieved; the root mean square value of 600s is used for determining rated parameters, namely the rated torque of the motor and the rated output current parameter of a corresponding driver during the rated torque;
and 7: the rated torque-rotating speed characteristic curve which can be output by the selected motor and the selected driver can envelop and cover 600s root mean square envelope curves of all working conditions, namely the selected motor and the selected driver can meet the requirement of system thermal design;
the maximum torque-rotating speed characteristic curve which can be output by the selected driver and the motor can envelop and cover 1s root mean square envelope curves of all working conditions, namely the selected motor and the selected driver can meet the requirement of short-time overload of a system; and finishing the model selection.
2. The method for selecting the type of the motor and the driver of the pitch system of the wind generating set according to claim 1, wherein the method comprises the following steps:
in step 1, the simulation platform used includes bladed, matlab or FAST.
3. The method for selecting the type of the motor and the driver of the pitch system of the wind generating set according to claim 1, wherein the method comprises the following steps:
in the step 2, the setting of the working condition of the wind generating set refers to setting the environment and the electrical condition which influence the load, the service life and the operation of the wind generating set in the simulation environment; the environmental conditions are further divided into wind conditions and other environmental conditions, the electrical conditions referring to grid conditions.
4. The method for selecting the type of the motor and the driver of the pitch system of the wind generating set according to claim 1, wherein the method comprises the following steps:
in step 3, the root mean square value calculation formula of the blade root torque, the blade rotating speed and the blade mechanical power in 1s/600s is as follows:
Tc(i) ith data (Nm) which is blade and root torque data in the load time sequence file; sc(i) The ith data (r/min) of the blade rotating speed data in the load time sequence file; t is the time in the payload timing fileData, i.e., the starting time of the root mean square value calculation; n is the number of sampling points in the period of calculating the root mean square value; t isRMS(i) Calculating a torque effective value (Nm) for the RMS value at n sample points in the period; sRMS(i) Calculating the effective value (r/min) of the rotating speed of the blade when n sampling points exist in the period for the root mean square value; pRMS(i) And calculating the effective value (kW) of the mechanical power when n sampling points exist in the period for the root mean square value.
5. The method for model selection of a wind generating set pitch system motor and driver of claim 4, wherein:
in step 3, three groups of data with root mean square values of 1s or 600s are respectively:
① blade root Torque TRMS(Tmax)，SRMS(Tmax)，PRMS(Tmax)；
② maximum blade speed TRMS(Smax)，SRMS(Smax)，PRMS(Smax)；
③ maximum mechanical power TRMS(Pmax)，SRMS(Pmax)，RRMS(Pmax)；
And corresponding to a 1s root mean square value time sequence or a 600s root mean square value time sequence, wherein Tmax refers to the maximum torque of the blade root in the corresponding time sequence, Smax refers to the maximum rotating speed of the blade in the corresponding time sequence, and Pmax refers to the maximum mechanical power of the blade in the corresponding time sequence.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810952032.XA CN109185057B (en) | 2018-08-21 | 2018-08-21 | Model selection method for motor and driver of variable pitch system of wind generating set |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810952032.XA CN109185057B (en) | 2018-08-21 | 2018-08-21 | Model selection method for motor and driver of variable pitch system of wind generating set |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109185057A CN109185057A (en) | 2019-01-11 |
| CN109185057B true CN109185057B (en) | 2020-07-14 |
Family
ID=64918692
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810952032.XA Active CN109185057B (en) | 2018-08-21 | 2018-08-21 | Model selection method for motor and driver of variable pitch system of wind generating set |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109185057B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110608132B (en) * | 2019-09-18 | 2020-09-11 | 许昌许继风电科技有限公司 | Model selection method and device for variable-pitch slip ring of wind generating set |
| CN110925135B (en) * | 2019-12-06 | 2021-02-02 | 中国船舶重工集团海装风电股份有限公司 | Wind turbine generator pitch motor selection method, device, equipment and storage medium |
| CN112065659B (en) * | 2020-09-16 | 2022-01-25 | 国电联合动力技术有限公司 | Independent variable pitch control method and variable pitch comprehensive monitoring method and system for wind turbine generator |
| CN114251235A (en) * | 2020-09-22 | 2022-03-29 | 新疆金风科技股份有限公司 | Method and device for determining relation between rotating speed and torque and capturing wind energy |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2426502A1 (en) * | 2010-09-06 | 2012-03-07 | ABB Technology AG | A method for detecting rotor failure in an asynchronous motor |
| WO2013183081A1 (en) * | 2012-06-05 | 2013-12-12 | Mitsubishi Heavy Industries, Ltd. | Method of synchronising a generator drive with an alternating current electrical network |
| CN106762449B (en) * | 2015-11-25 | 2019-03-15 | 中国船舶重工集团海装风电股份有限公司 | A kind of real load detection method, system and the Wind turbines of blade |
| CN106469239B (en) * | 2016-08-31 | 2019-05-17 | 许继集团有限公司 | The torque of wind generating set pitch control motor determines method, selection method and device |
| CN106503370B (en) * | 2016-10-28 | 2019-10-25 | 许继集团有限公司 | The determination method of large-scale wind electricity set yaw choice of electrical machine method and driving torque |
| CN106886634B (en) * | 2017-01-20 | 2020-04-17 | 许继集团有限公司 | Fan variable pitch motor model selection parameter obtaining method, system and model selection method |
| JP6806576B2 (en) * | 2017-01-23 | 2021-01-06 | 東日本旅客鉄道株式会社 | Anomaly detection method for traveling motors for railway vehicles |
-
2018
- 2018-08-21 CN CN201810952032.XA patent/CN109185057B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109185057A (en) | 2019-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109185057B (en) | Model selection method for motor and driver of variable pitch system of wind generating set | |
| CN105986961B (en) | A kind of speed-changing oar-changing wind energy conversion system power optimization control method | |
| CN104074679B (en) | All-wind-speed limited-power optimal control method for variable-speed and variable-pitch wind generation set | |
| CN106469239B (en) | The torque of wind generating set pitch control motor determines method, selection method and device | |
| CN203297036U (en) | System for determining pitch angle of at least one rotor blade of wind turbine | |
| TWI494505B (en) | Wind power generating system and control method thereof | |
| CN106886634B (en) | Fan variable pitch motor model selection parameter obtaining method, system and model selection method | |
| Fingersh et al. | Baseline results and future plans for the NREL controls advanced research turbine | |
| CN110608132B (en) | Model selection method and device for variable-pitch slip ring of wind generating set | |
| US11261845B2 (en) | System and method for protecting wind turbines during extreme wind direction change | |
| CN106545467B (en) | A kind of wind generating set pitch control is away from system feathering energy deficiency method for early warning | |
| CN203335328U (en) | Small-sized stepless speed change type self-speed-regulating wind driven generator | |
| CN208900281U (en) | A kind of wind generating set pitch control drive control system of double motors | |
| CN113586335B (en) | Wind driven generator overspeed prevention group control method and system for large turbulence working condition | |
| CN105649875A (en) | Variable pitch control method and device of wind generating set | |
| CN107528511A (en) | A kind of wind-driven generator constant-power control method and device | |
| KR101086185B1 (en) | Wind turbine control method for reducing peak load | |
| CN102156044B (en) | Model selection method of wind turbine simulator applicable to testing of direct driving type wind generating set | |
| CN103257315A (en) | Wind generating set master control system and motor-driven pitch changing system testing device | |
| KR20140034631A (en) | Simulator of wind power generation system | |
| CN104373294B (en) | Full-power control and operation method applied to wind power converter | |
| CN205545041U (en) | A rotational speed controlling means for small wind turbine machine | |
| CN109519338B (en) | Method and device for checking driving torque of variable-pitch motor of wind turbine generator | |
| KR20130057230A (en) | Method and apparatus for torque controlling wind turbine using nonlinear parameter of rotor speed | |
| CN202853913U (en) | Wind generating set electric variable pitch system loading test bench |
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 | ||
| CP03 | Change of name, title or address |
Address after: 065500 Industrial Park, Gu'an County, Langfang City, Hebei Province Patentee after: Guoneng information technology (Hebei) Co.,Ltd. Address before: 065500 North District of Gu'an Industrial Park, Langfang City, Hebei Province Patentee before: GU'AN HUADIAN TIANREN CONTROL EQUIPMENT Co.,Ltd. |
|
| CP03 | Change of name, title or address |