LU505191B1 - Wind turbine power control method, device, equipment and storage medium - Google Patents

Wind turbine power control method, device, equipment and storage medium Download PDF

Info

Publication number
LU505191B1
LU505191B1 LU505191A LU505191A LU505191B1 LU 505191 B1 LU505191 B1 LU 505191B1 LU 505191 A LU505191 A LU 505191A LU 505191 A LU505191 A LU 505191A LU 505191 B1 LU505191 B1 LU 505191B1
Authority
LU
Luxembourg
Prior art keywords
wind
wind turbine
power
data
determining
Prior art date
Application number
LU505191A
Other languages
French (fr)
Inventor
Jianfeng Zhao
Tao Li
Xin Zhang
Wen Lv
Qijiang Wang
Biao Feng
Yunjie Dong
Shaogeng Li
Yongbin Li
Shaofei Yao
Bo Zhang
Pengfei Dong
Chongkun Yang
Hairui Shi
Original Assignee
Huaneng Dali Wind Power Generation Co Ltd Xiangyun Branch
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 Huaneng Dali Wind Power Generation Co Ltd Xiangyun Branch filed Critical Huaneng Dali Wind Power Generation Co Ltd Xiangyun Branch
Priority to LU505191A priority Critical patent/LU505191B1/en
Application granted granted Critical
Publication of LU505191B1 publication Critical patent/LU505191B1/en

Links

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
    • F03D7/028—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power
    • 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
    • F03D17/009—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose
    • F03D17/018—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose for monitoring temperature
    • 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
    • F03D17/009—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose
    • F03D17/021—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose for monitoring power or current
    • 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
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/043—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic
    • F03D7/045—Automatic control; Regulation by means of an electrical or electronic controller characterised by the type of control logic with model-based controls
    • 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
    • F03D17/009—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose
    • F03D17/026—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose for assessing power production capabilities
    • 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
    • F03D7/0224—Adjusting blade pitch
    • 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
    • F03D7/0256—Stall control
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/10—Purpose of the control system
    • F05B2270/20—Purpose of the control system to optimise the performance of a machine

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)
  • Wind Motors (AREA)

Abstract

The present invention provides a wind turbine power control method, device, equipment and storage medium. The method includes collecting wind data in a historical period using a laser radar anemoscope; determining generating power of the wind turbine in the preset historical period, and establishing a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time; comparing a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and maximizing the power generation efficiency of the wind turbine by adjusting operating parameters according to the difference.

Description

WIND TURBINE POWER CONTROL METHOD, DEVICE, EQUIPMENT AND
STORAGE MEDIUM
TECHNICAL FIELD
The present invention relates to the technical field of wind power generation, and in particular, relates to a wind turbine power control method, device, equipment and storage medium.
BACKGROUND
The organic combination of big data, artificial intelligence and cloud computing has become the trend of the times. To make the most of these new technologies, there must be a good underlying platform. For wind turbines, the basic platform mainly includes: advanced control of wind turbines, enough localized intelligent sensing and enough information uploading and so on.
A solid foundation platform is the prerequisite for big data, artificial intelligence and cloud computing to play a huge role.
Therefore, how to maximize the generating power of the wind turbines has become a problem to be solved technically by the skilled in the art.
SUMMARY
The present invention provides a wind turbine power control method, device, equipment and storage medium to solve the shortcoming that the generating power of wind turbines in the prior art is difficult to realize the optimal.
The present invention provides a wind turbine power control method, including: constructing a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope, and the wind frequency diagram is used for reflecting a corresponding relationship between wind speed and time; determining generating power of the wind turbine in the preset historical period, and establishing a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time; comparing a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and based on the difference, adjusting operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises stall regulation and pitch angle regulation.
The present invention further provides a wind turbine power control device, including: a construction module configured to construct a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope, and the wind frequency diagram is used for reflecting a corresponding relationship between wind speed and time; a determination module configured to determine generating power of the wind turbine in the preset historical period, and establish a wind turbine historical power characteristic curve based ona corresponding relationship between the generating power, wind speed and time; a comparison module configured to compare a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and an adjustment module configured to, based on the difference, adjust operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises stall regulation and pitch angle regulation.
The present invention further provides an electronic equipment, including a memory, a processor and a computer program that is stored in the memory and executable in the processor; wherein the wind turbine power control method mentioned above is implemented upon the processor executes the program.
The present invention further provides a non-transient computer-readable storage medium,
storing a computer program, wherein the wind turbine power control method mentioned above is 905797 implemented upon the processor executes the computer program.
The present invention provides a wind turbine power control method, device, equipment and storage medium. The method includes: constructing a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope; determining generating power of the wind turbine in the preset historical period, and establishing a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time; comparing a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and based on the difference, adjusting operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises stall regulation and pitch angle regulation.
By adjusting the operating parameters according to the difference between the current operating power and the target power, the generating power of the wind turbine can be improved, which can better ensure the working efficiency of the wind turbine and maximize the generating efficiency of the wind turbine.
BRIEF DESCRIPTION OF THE DRAWINGS
To state the technical solution of the examples in the present invention or the prior art clearer, a brief introduction to the attached drawings needed in the examples or prior art is stated below. Obviously, the drawings described below are some examples in the present invention, for those skilled in the field, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a wind turbine power control method according to an example of the present invention;
FIG. 2 is a structural diagram of a wind turbine power control device according to an example of the present invention; and 150519)
FIG. 3 is a structural diagram of an electronic equipment according to an example of the present invention.
DETAILED DESCRIPTION
For clearer purposes, technical solutions and advantages of the present invention, the technical solutions of the examples in the present invention will be described clearly and completely with reference to the accompanying drawings of the examples in the present invention below. Obviously, the examples described are only some, rather than all examples of the present invention. Based on the examples of the present invention, all other examples obtained by those ordinary skilled in the art without creative efforts should fall within the scope of protection of the present invention.
FIG. 1 is a flow chart of a wind turbine power control method according to an example of the present invention.
As shown in FIG. 1, a wind turbine power control method provided in an example of the present invention mainly includes the following steps: 101. constructing a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope, and the wind frequency diagram is used for reflecting a corresponding relationship between wind speed and time.
In a specific implementation process, firstly, the wind data of the wind turbine in the preset time is collected. The wind data includes information such as wind speed, wind direction and time, and the preset historical time refers to the historical data under the normal operation of the wind turbine. For example, the wind data within half a year can be collected, and then is processed to build a wind frequency diagram. The wind frequency diagram is mainly used to reflect the corresponding relationship between the wind speed and time. Time can be in days or hours. If time is in days, the wind speed is in average wind speed within the day. If time is in hours, the wind speed is in average wind speed within hours. Therefore, the corresponding relationship between the wind speed and time can be clearly understood through the wind frequency diagram. 5 102. Determining generating power of the wind turbine in the preset historical period, and establishing a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time.
The wind turbine generating power in the preset historical time is collected, and is recorded at the average power. Finally, the wind turbine historical power characteristic curve can intuitively reflect the corresponding relationship among the generating power, wind speed and time. That is to say, through the wind turbine historical power characteristic curve, the relationship between the wind speed and generating power at any time can be shown. 103. Comparing a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve.
The wind turbine historical power characteristic curve refers to the characteristic curve of wind turbine in an actual work, and the wind turbine standard power characteristic curve refers to the characteristic curve of wind turbine in an ideal state, which can also be understood as the characteristic curve in the best state. Therefore, there are some differences between the two. By comparing the differences between them, the power generation efficiency of wind turbines can be further improved.
The way to determine the difference between the historical power characteristic curve and the standard power characteristic curve can be the one-by-one comparison approach to compare the difference of generating power between them under the same wind speed. 104. Based on the difference, adjusting operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises sll 4 regulation and pitch angle regulation.
Through the difference, the adjustment direction of the operating parameters of the wind turbine can be known, and the operating data includes stall regulation and pitch angle regulation, that is, through the stall regulation and the pitch angle regulation, the power generation efficiency of the wind turbine can be improved.
The factors that affect the power generation efficiency of wind turbines will also be affected by geographical location information. Therefore, it is necessary to ensure the normal operation of wind turbines and reduce the failure rate of wind turbines when stall regulation and pitch angle regulation are carried out, so as to improve the power generation efficiency of wind turbines and ensure the safe and efficient operation of wind turbines.
Further, based on the above example, the example further includes: collecting changes of gearbox oil temperature, bearing temperature, vibration data and blade angle during the operation of wind turbine; and determining the changes of the generating power in the changes of gearbox oil temperature, bearing temperature, vibration data and blade angle. Wherein, after determining the changes of the generating power in the changes of gearbox oil temperature, bearing temperature, vibration data and blade, further including: obtaining a generating power model by combining the changes of the generating power with the wind turbine historical power characteristic curve; and predicting the generating power of the wind turbine at any time through the generating power model.
Specifically, in the process of controlling the power of the wind turbine, the power prediction is to be realized. The changes of working parameters of the wind turbine in the working process are known by collecting the changes of gearbox oil temperature, the changes of bearing temperature, the changes of vibration data and the change of blade angle, and then the power generation model is constructed corresponding to different working parameters and 9 different generating power under different wind speeds. Through this generation model, the relationship between different working parameters, different values of the same working parameter, different wind speeds and generating power can be established, so that the generating power under any wind speed can be predicted by the generation model, which is helpful for wind power management and safe operation.
Further, in the example, based on the difference, adjusting operating data of the corresponding wind turbine according to the current geographical location information, including: determining a unit data difference of the wind turbine that cause the difference; determining whether the unit data difference can be optimized combined with the current geographic location information; and if it can be optimized, the operating data of the wind turbine is adjusted; if not, the operating data of the wind turbine is maintained or the operation is stopped. wherein, determining whether the unit data difference can be optimized combined with the current geographic location information, including: determining altitude data, temperature data and topographic data in the geographical location information; determining optimal operation data of the wind turbine under the altitude data, the temperature data and the topographic data; and if current operating data of the wind turbine has reached the optimal operating data, optimization can not be performed, otherwise the optimization can be performed.
Specifically, after determining the difference, the cause of the difference is detected, and the influence of altitude data, temperature data and topographic data on the generating power is determined. The operating data at different altitudes are different. Therefore, it is necessary to determine the optimal operating data corresponding to the current geographical position.
Although the current generating power does not reach the optimum, if it is limited by the geographical position, it is sufficient to continue to maintain the current state of operation, thus avoiding overload operation of unit components caused by blindly improving power generation P0019" efficiency, ensuring the generating power of the generator unit in a specific working environment and ensuring power consumption safety.
Further, in the example further includes: estimating the generating capacity of the wind turbine, based on the optimal tip speed ratio, the yaw to wind parameters, the wind frequency comparison parameters and the wind turbine speed characteristic analysis parameters. estimating the power generation of the wind turbine, based on the optimal tip speed ratio, the yaw to wind parameters, the wind frequency comparison parameters and the wind turbine speed characteristic analysis parameters. Wherein determining an optimal tip speed ratio, yaw to wind parameters, wind frequency comparison parameters and wind turbine speed characteristic analysis parameters, including: collecting wind speed, tip speed ratio scatter points, deviation points between engine and wind direction, a power curve of each yaw sector, comparison between wind frequency in power generation state and wind frequency in all working conditions, an engine speed scatter diagram and a generator speed data distribution diagram; determining the optimal tip speed ratio based on the wind speed, the tip speed ratio scatter points and a wind speed and tip speed ratio curve at different temperatures; determining yaw to wind parameters based on the deviation points between engine and wind direction, and the power curve of each yaw sector; determining the wind frequency comparison parameters based on the comparison between wind frequency in power generation state and wind frequency in all working conditions; and determining the wind turbine speed characteristic analysis parameters based on the engine speed scatter diagram and the generator speed data distribution diagram.
Specifically, the power generation of the wind turbine is estimated accurately through accurately collecting the optimal tip speed ratio, the yaw to wind parameters, the wind frequency comparison parameters and the wind turbine speed characteristic analysis parameters, thereby overall planning can be better realized and the operating efficiency of wind turbines can be improved. Moreover, through the prediction of power generation, the operating cost and profit of wind turbines can be calculated, and the number of wind turbines can be adjusted to better maximize economic benefits.
FIG. 2 1s a structural diagram of a wind turbine power control device according to an example of the present invention.
As shown in FIG. 2, the example of the present invention further protect a wind turbine power control device, including: a construction module 201 configured to construct a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope 201, and the wind frequency diagram is used for reflecting a corresponding relationship between wind speed and time; a determination module 202 configured to determine generating power of the wind turbine in the preset historical period, and establish a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time. a comparison module 203 configured to compare a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and an adjustment module 204 configured to, based on the difference, adjust operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises stall regulation and pitch angle regulation.
FIG. 3 1s a structural diagram of an electronic equipment according to an example of the present invention.
As shown in FIG. 3, the electronic equipment may includes: a processor 310, a
Communications Interface 320, a memory 330 and a communication bus 340, in which, the processor 310, the Communications Interface 320 and the memory 330 are mutually communicated via the communication bus 340. The processor 310 can invoke logical instructions in the memory 330 to perform the wind turbine power control method.
The present invention further protects a non-transient computer-readable storage medium, storing a computer program, wherein a wind turbine power control method mentioned above is implemented upon the processor executes the computer program.
It should be noted that: the examples described above are only used to illustrate the technical solution of the present invention, and not to limit it. Although the present invention is described in detail with reference to the preferred examples, it should be understood by those ordinary skilled in the art that the technical solution, set forth in each examples, of the present invention can still be modified or some or all of the technical features are replaced equivalently, and those modifications or equivalent substitutions can not make the modified technical solution out of the spirit and scope of the technical solution of the present invention.

Claims (10)

1. A wind turbine power control method, comprising: constructing a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope, and the wind frequency diagram is used for reflecting a corresponding relationship between wind speed and time; determining generating power of the wind turbine in the preset historical period, and establishing a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time; comparing a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and based on the difference, adjusting operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises stall regulation and pitch angle regulation.
2. The wind turbine power control method according to claim 1, further comprising: collecting changes of gearbox oil temperature, bearing temperature, vibration data and a blade angle during the operation of wind turbine; and determining the changes of the generating power in the changes of the gearbox oil the temperature, the bearing temperature, the vibration data and the blade angle.
3. The wind turbine power control method according to claim 2, wherein after the determining the changes of the generating power in the changes of the gearbox oil temperature, the bearing temperature, the vibration data and the blade, further comprising: obtaining a generating power model by combining the changes of the generating power with the wind turbine historical power characteristic curve; and predicting the generating power of the wind turbine at any time through the generating power model.
4. The wind turbine power control method according to claim 1, wherein the based on the difference, adjusting operating data of the corresponding wind turbine according to the current geographical location information, comprising: determining a unit data difference of the wind turbine that cause the difference; determining whether the unit data difference can be optimized combined with the current geographic location information; and if it can be optimized, the operating data of the wind turbine is adjusted; and if not, the operating data of the wind turbine is maintained or the operation is stopped.
5. The wind turbine power control method according to claim 4, wherein the determining whether the unit data difference can be optimized combined with the current geographic location information, comprising: determining altitude data, temperature data and topographic data in the geographical location information; determining optimal operation data of the wind turbine under the altitude data, the temperature data and the topographic data; and if current operating data of the wind turbine has reached the optimal operating data, optimization can not be performed, otherwise the optimization can be performed.
6. The wind turbine power control method according to claim 1, further comprising: determining an optimal tip speed ratio, yaw to wind parameters, wind frequency comparison parameters and wind turbine speed characteristic analysis parameters; and estimating power generation of the wind turbine based on the optimal tip speed ratio, the yaw to wind parameters, the wind frequency comparison parameters and the wind turbine speed characteristic analysis parameters. 1000191
7. The wind turbine power control method according to claim 6, wherein the determining an optimal tip speed ratio, yaw to wind parameters, wind frequency comparison parameters and wind turbine speed characteristic analysis parameters, comprising: collecting wind speed, tip speed ratio scatter points, deviation points between engine and wind direction, a power curve of each yaw sector, comparison between wind frequency in power generation state and wind frequency in all working conditions, an engine speed scatter diagram and a generator speed data distribution diagram; determining the optimal tip speed ratio based on the wind speed, the tip speed ratio scatter points and a wind speed and tip speed ratio curve at different temperatures; determining yaw to wind parameters based on the deviation points between engine and wind direction, and the power curve of each yaw sector; determining the wind frequency comparison parameters based on the comparison between wind frequency in power generation state and wind frequency in all working conditions; and determining the wind turbine speed characteristic analysis parameters based on the engine speed scatter diagram and the generator speed data distribution diagram.
8. A wind turbine power control device, comprising: a construction module configured to construct a wind frequency diagram by collecting wind data in a historical period using a laser radar anemoscope, and the wind frequency diagram is used for reflecting a corresponding relationship between wind speed and time; a determination module configured to determine generating power of the wind turbine in the preset historical period, and establish a wind turbine historical power characteristic curve based on a corresponding relationship between the generating power, wind speed and time; a comparison module configured to compare a difference between the wind turbine historical power characteristic curve and a wind turbine standard power characteristic curve; and an adjustment module configured to, based on the difference, adjust operating data of the corresponding wind turbine according to the current geographical location information, and the operating data comprises stall regulation and pitch angle regulation.
9. An electronic equipment, comprising a memory, a processor and a computer program that is stored in the memory and executable in the processor; wherein the wind turbine power control method as claimed in any one of claims 1-7 is implemented upon the processor executes the program.
10. A non-transient computer-readable storage medium, storing a computer program, wherein the wind turbine power control method as claimed in any one of claims 1-7 is implemented upon the processor executes the computer program.
LU505191A 2023-09-27 2023-09-27 Wind turbine power control method, device, equipment and storage medium LU505191B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
LU505191A LU505191B1 (en) 2023-09-27 2023-09-27 Wind turbine power control method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
LU505191A LU505191B1 (en) 2023-09-27 2023-09-27 Wind turbine power control method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
LU505191B1 true LU505191B1 (en) 2024-03-28

Family

ID=90526801

Family Applications (1)

Application Number Title Priority Date Filing Date
LU505191A LU505191B1 (en) 2023-09-27 2023-09-27 Wind turbine power control method, device, equipment and storage medium

Country Status (1)

Country Link
LU (1) LU505191B1 (en)

Similar Documents

Publication Publication Date Title
EP3317526B1 (en) Methods and systems for generating wind turbine control schedules
EP3317523B1 (en) Methods and systems for generating wind turbine control schedules
US10422319B2 (en) Control method and system for wind turbines
US10907611B2 (en) Methods and systems for generating wind turbine control schedules
EP2799711B1 (en) Method of operating a wind turbine
EP3317525B1 (en) Methods and systems for generating wind turbine control schedules
RU2591366C1 (en) Wind-driven power plant and control method for wind-driven power plant or wind power plant
CN108488038B (en) A kind of Yaw control method of wind power generating set
CN105257471B (en) Wind power generating set award setting method, apparatus and system
US20170022974A1 (en) Operating wind turbines
JP2015061511A (en) System and method for minimizing power grid spinning reserve losses by preemptively controlling power generation equipment to offset wind power generation capacity based on geospatial regional wind conditions
US11428208B2 (en) Methods and systems for generating wind turbine control schedules
US10746160B2 (en) Methods and systems for generating wind turbine control schedules
EP4194684A1 (en) Load control method and apparatus for wind turbine generator system
WO2017000951A1 (en) Methods and systems for generating wind turbine control schedules
CN110094298A (en) Adaptive adjustment method and device for switching-out strategy
WO2017000950A1 (en) Methods and systems for generating wind turbine control schedules
CN111779628A (en) Yaw and hub control system with typhoon-resistant mode and applicable to offshore wind power plant
LU505191B1 (en) Wind turbine power control method, device, equipment and storage medium
CN212563523U (en) Impeller control system with anti-typhoon mode and suitable for offshore wind power plant
Pratama et al. Operational Road Map in North Sulawesi and Gorontalo Power Grid Considering the Intermittent Photovoltaic Penetration
CN112523947A (en) System and method for adjusting a multi-dimensional operating space of a wind turbine
CN115680997A (en) Wind turbine generator maximum power tracking control method capable of adapting to turbulence
CN114607555A (en) Control method and device for wind generating set
CN118582333A (en) Control method and device of wind turbine generator, wind turbine generator and remote monitoring system

Legal Events

Date Code Title Description
FG Patent granted

Effective date: 20240328