CN116044683A - Wind turbine generator blade icing prevention method based on meteorological early warning information and active control - Google Patents

Wind turbine generator blade icing prevention method based on meteorological early warning information and active control Download PDF

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Publication number
CN116044683A
CN116044683A CN202310084629.8A CN202310084629A CN116044683A CN 116044683 A CN116044683 A CN 116044683A CN 202310084629 A CN202310084629 A CN 202310084629A CN 116044683 A CN116044683 A CN 116044683A
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wind turbine
data set
icing
pitch angle
rotating speed
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伍阳阳
莫维科
茅寿元
文天舒
徐良铸
袁华宇
张彩强
宋小龙
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Jinan University
Yunnan Electric Power Test and Research Institute Group Co Ltd
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Jinan University
Yunnan Electric Power Test and Research Institute Group Co Ltd
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Priority to CN202310084629.8A priority Critical patent/CN116044683A/en
Publication of CN116044683A publication Critical patent/CN116044683A/en
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    • 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
    • F03D80/00Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
    • F03D80/40Ice detection; De-icing means
    • 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
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • 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 
    • 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

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  • 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 invention discloses a wind turbine generator blade icing prevention method based on meteorological early warning information and active control, which comprises the following steps: an initial data set obtained by CFD simulation; comparing the initial data set with the data set obtained by the actual environment simulation experiment, and correcting the CFD simulation process; analyzing and determining functional relations between different parameters and ice coating quality; acquiring current real-time state data of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops and the air water content through meteorological early warning information, substituting the current real-time state data into a functional relation, and calculating to obtain a fan rotating speed value and a pitch angle when the icing quality is minimum; and starting an active control system of the wind turbine blade to control the wind turbine blade according to the obtained rotating speed value and pitch angle of the fan, so as to realize ice coating prevention control. The invention has simple transformation and low transformation cost, is beneficial to enhancing the anti-icing effect, and can be widely applied to the technical field of anti-icing treatment.

Description

Wind turbine generator blade icing prevention method based on meteorological early warning information and active control
Technical Field
The invention relates to the technical field of anti-icing treatment, in particular to a wind turbine generator blade anti-icing method based on weather early warning information and active control.
Background
In recent years, wind power generation has been rapidly developed, and has become a research hotspot in the field of new energy. The icing of the wind turbine blade can greatly influence the running of the wind turbine, and if the wind turbine generates large-scale continuous tripping in extreme weather, the system is subjected to larger power shortage, and even large-scale power failure in local areas is likely to occur.
In the current domestic and foreign researches, the directions are mainly divided into two types, one is to passively relieve the icing influence by means of the blade, and the other is to remove the icing by means of the external effect. There are mainly two studies on passive alleviation of icing effects by means of the blade itself: (1) How to design the coating of the wind turbine blade, the method has the advantages that the overall anti-freezing effect of the coating is not obvious, the coating corrodes the blade, and the structure of the blade needs to be improved by spraying (2) again after a period of time. There are three main studies on removal of ice coating by external action: (1) The deicing effect is poor, the cost is high, lightning is easily guided on the blade, and the safe operation of the unit is threatened; (2) Heating and deicing by using conductive materials such as resistance wires and the like distributed on the blades; (3) The deicing method is high in cost and also unsatisfactory in deicing effect by blowing hot air into the blades.
Disclosure of Invention
Therefore, the embodiment of the invention provides the wind turbine generator blade icing prevention method based on meteorological early warning information and active control, which is low in cost and high in safety, so that the deicing effect is improved.
An aspect of the embodiment of the invention provides a wind turbine generator blade icing prevention method based on meteorological early warning information and active control, which comprises the following steps:
obtaining an initial data set determined by the precision requirement through CFD simulation; the initial data set comprises data of ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
comparing the initial data set with a data set obtained by an actual environment simulation experiment, and correcting the CFD simulation process according to the comparison result to obtain a target data set;
performing system identification on the target data set, and analyzing and determining functional relations between different parameters and ice coating quality; the different parameters comprise ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
according to the functional relation, current real-time state data of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops and the air water content are obtained through meteorological early warning information, the current real-time state data are substituted into the functional relation, and a fan rotating speed value and a pitch angle when the icing quality is minimum are obtained through calculation;
and starting an active control system of the wind turbine blade to control the wind turbine blade according to the obtained rotating speed value and pitch angle of the fan, so as to realize ice coating prevention control.
Optionally, the obtaining the initial data set determined by the accuracy requirement through CFD simulation includes:
and after discrete sampling is carried out on a preset parameter range, the parameter range is imported into CFD software for mass simulation, and the average effective diameter of supercooled water drops, the air water content, the rotating speed of the wind turbine generator blade and the corresponding icing quality under the pitch angle are recorded to form the initial data set.
Optionally, the comparing the initial data set with a data set obtained by an actual environment simulation experiment, and correcting the CFD simulation process according to a result of the comparison, to obtain a target data set, including:
the wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of blades of the wind turbine generator and the pitch angle in the data set obtained by the environment simulation experiment are led into a functional relation to obtain the experimental icing quality;
comparing the experimental icing quality with a simulation result obtained by CFD simulation software to determine whether the experimental icing quality is within an error limit; if yes, judging that the fitting degree of the simulation result is high, and taking the simulation result as the target data set; if not, generating an error analysis reason, correcting the simulation process, and obtaining a target data set according to the corrected simulation process.
Optionally, the system identifying the target data set, analyzing and determining a functional relationship between different parameters and ice coating quality includes:
importing the target data set into data analysis software, and respectively applying polynomial fitting to each variable on the premise of fixing other variables to obtain the frequency relation between the variable and the icing quality;
and importing all data in the target data set into the frequency relation, and obtaining a functional relation of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of a wind turbine generator blade, the pitch angle and the icing quality after using a least square method on coefficients obtained by each group of data.
Optionally, starting the active control system of the wind turbine blade to control the wind turbine blade according to the obtained fan rotation speed value and the pitch angle, including:
according to a function relation between the rotation speed of the blades of the wind turbine generator and the power of the generator of the wind turbine generator, the generator of the wind turbine generator is actively supplied with power to corresponding control power;
and controlling the rotating speed of the blades of the wind turbine to reach the target rotating speed based on the control power, and controlling the pitch angle to reach the target angle.
On the other hand, the embodiment of the invention also provides an anti-icing device for the wind turbine blade based on meteorological early warning information and active control, which comprises the following components:
the first module is used for obtaining an initial data set determined by the precision requirement through CFD simulation; the initial data set comprises data of ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
the second module is used for comparing the initial data set with the data set obtained by the actual environment simulation experiment, correcting the CFD simulation process according to the comparison result, and obtaining a target data set;
the third module is used for carrying out system identification on the target data set, analyzing and determining the functional relation between different parameters and ice coating quality; the different parameters comprise ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
a fourth module, configured to obtain current real-time state data of an ambient wind speed, a temperature, an average effective diameter of supercooled water drops, and an air water content according to the functional relationship through meteorological early warning information, and substituting the current real-time state data into the functional relationship, and calculate to obtain a fan rotation speed value and a pitch angle when ice coating quality is minimum;
and the fifth module is used for starting the active control system of the wind turbine blade to control the wind turbine blade according to the obtained rotating speed value and pitch angle of the fan, so as to realize ice coating prevention control.
Another aspect of the embodiment of the invention also provides an electronic device, which includes a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
Another aspect of the embodiments of the present invention also provides a computer-readable storage medium storing a program that is executed by a processor to implement a method as described above.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
According to the embodiment of the invention, an initial data set determined by the precision requirement is obtained through CFD simulation; the initial data set comprises data of ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle; comparing the initial data set with a data set obtained by an actual environment simulation experiment, and correcting the CFD simulation process according to the comparison result to obtain a target data set; performing system identification on the target data set, and analyzing and determining functional relations between different parameters and ice coating quality; the different parameters comprise ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle; according to the functional relation, current real-time state data of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops and the air water content are obtained through meteorological early warning information, the current real-time state data are substituted into the functional relation, and a fan rotating speed value and a pitch angle when the icing quality is minimum are obtained through calculation; and starting an active control system of the wind turbine blade to control the wind turbine blade according to the obtained rotating speed value and pitch angle of the fan, so as to realize ice coating prevention control. According to the invention, the running state required by the anti-icing of the wind turbine blade is obtained based on the relation between the environment variable and the icing quality, and the running mode of the wind turbine is actively controlled by combining the weather early warning information and the running state of the wind turbine, so that the wind turbine always runs in the preset working state with the minimum icing amount of the blade, the usability of the wind turbine is still ensured in extreme weather, the transformation is simple, the transformation cost is low, and the anti-icing effect is enhanced.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart illustrating overall steps provided in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Aiming at the problems existing in the prior art, the method is used for analyzing the influence of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content and the rotating speed of the wind turbine generator blade on the icing quality based on meteorological early warning information, and simulating to obtain the functional relation of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of the wind turbine generator blade and the icing quality, and the minimum icing quality is used as a target feedback control system for adjusting the rotating speed and the pitch angle of the wind turbine generator blade, so that the problem of limited freezing of the wind turbine generator blade under the current extreme meteorological conditions is effectively solved.
Specifically, as shown in fig. 1, the wind turbine generator blade icing prevention method based on meteorological early warning information and active control of the invention comprises the following steps:
(1) And obtaining data sets of the icing quality corresponding to parameters such as n groups of ambient wind speed, temperature, supercooled water drop average effective diameter, air water content, wind turbine generator blade rotating speed, pitch angle and the like which are determined by the precision requirement by CFD simulation.
(2) And (3) correcting corresponding parameters in the simulation process by comparing the obtained data set with the data set obtained by the actual environment simulation experiment, and repeating the simulation (1) after the correction until the error of the data set obtained by the actual environment simulation experiment meets the required precision requirement.
(3) And (3) carrying out system identification according to the obtained data set meeting the requirements, and analyzing the functional relation between the ambient wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of the blades of the wind turbine generator, the pitch angle and the icing quality.
(4) According to the obtained functional relation, current state data of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops and the air water content are obtained from meteorological early warning information, and are substituted into the obtained functional relation to obtain a fan rotating speed value v when the icing quality is minimum e From pitch angle k e
(5) According to the obtained fan rotating speed value v e From pitch angle k e Starting an active control system of a wind turbine generator blade, and running the wind turbine generator blade until the rotating speed reaches v e And controlling the pitch angle to be k e And the icing quality is minimized, and the anti-icing technology of the wind turbine generator blade based on meteorological early warning information and active control is realized.
In the step (1), a data set of ice coating quality corresponding to parameters such as n groups of ambient wind speed, temperature, supercooled water drop average effective diameter, air water content, wind turbine generator blade rotating speed, pitch angle and the like determined by precision requirements is obtained by CFD simulation, and the method comprises the following steps:
and after discrete sampling is carried out on a preset parameter range, the parameter range is imported into Fluent software to carry out mass simulation, and the average effective diameter of supercooled water drops, the air water content, the blade rotating speed of the wind turbine generator and the corresponding icing quality under the pitch angle are recorded to form a data set.
In the step (2), the correction of the corresponding parameters in the simulation process by comparing with the data set obtained by the actual environment simulation experiment comprises the following steps:
and (3) importing the average effective diameter of wind speed, temperature and supercooled water drops, the air water content, the rotating speed of the blades of the wind turbine generator set and the pitch angle in the data set obtained by the environment simulation experiment into a functional relation to obtain icing quality, and comparing the icing quality with a simulation result obtained by Fluent simulation software to confirm whether the icing quality is within an error limit. If yes, the simulation result has high fitting degree and practicability. If not, analyzing the reason to correct the simulation link.
In the step (3), performing system identification, including:
and importing the data set into data analysis software, respectively applying polynomial fitting to each variable on the premise of fixing other variables to obtain the frequency relation between the variable and the icing quality, importing all data, and obtaining the functional relation between the ambient wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of a wind turbine generator blade, the pitch angle and the icing quality by using a least square method on coefficients obtained by each group of data.
In the step (4), substituting the corrected function relationship to obtain a fan rotation speed value v when the icing quality is minimum e From pitch angle k e Comprising:
the data of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops and the air water content measured by the meteorological early warning information are imported into data processing software and substituted into a function to obtain a functional relation of the rotating speed and the pitch angle of the fan blade and the ice coating quantity, and the rotating speed value v of the fan with the minimum ice coating quality is obtained according to the functional relation e From pitch angle k e
In the step (5), starting an active control system of the wind turbine blade, including:
according to the function relation between the rotation speed of the wind turbine generator blade and the power of the wind turbine generator, the wind turbine generator is actively powered to the corresponding power, so that the rotation speed of the wind turbine generator blade reaches v e And controlling the pitch angle to be k e
In summary, the method and the device for preventing the icing of the wind turbine blade obtain the operation state required by the icing prevention of the wind turbine blade based on the relation between the environment variable and the icing quality, and combine the meteorological early warning information and the operation state of the wind turbine to actively control the operation mode of the wind turbine, so that the wind turbine always operates in the preset operation state with the minimum icing amount of the blade, and the availability of the wind turbine is ensured under extreme weather. The invention has simple transformation and low transformation cost, can be widely popularized, and can further reduce icing by applying the method on the basis of the invention.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the invention is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the described functions and/or features may be integrated in a single physical device and/or software module or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the invention, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the embodiments described above, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and these equivalent modifications or substitutions are included in the scope of the present invention as defined in the appended claims.

Claims (9)

1. A wind turbine generator system blade icing prevention method based on meteorological early warning information and active control is characterized by comprising the following steps:
obtaining an initial data set determined by the precision requirement through CFD simulation; the initial data set comprises data of ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
comparing the initial data set with a data set obtained by an actual environment simulation experiment, and correcting the CFD simulation process according to the comparison result to obtain a target data set;
performing system identification on the target data set, and analyzing and determining functional relations between different parameters and ice coating quality; the different parameters comprise ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
according to the functional relation, current real-time state data of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops and the air water content are obtained through meteorological early warning information, the current real-time state data are substituted into the functional relation, and a fan rotating speed value and a pitch angle when the icing quality is minimum are obtained through calculation;
and starting an active control system of the wind turbine blade to control the wind turbine blade according to the obtained rotating speed value and pitch angle of the fan, so as to realize ice coating prevention control.
2. The method for preventing icing of a wind turbine blade based on meteorological early warning information and active control according to claim 1, wherein the obtaining an initial data set determined by accuracy requirements through CFD simulation comprises:
and after discrete sampling is carried out on a preset parameter range, the parameter range is imported into CFD software for mass simulation, and the average effective diameter of supercooled water drops, the air water content, the rotating speed of the wind turbine generator blade and the corresponding icing quality under the pitch angle are recorded to form the initial data set.
3. The method for preventing icing of a wind turbine blade based on meteorological early warning information and active control according to claim 1, wherein the comparing the initial data set with a data set obtained by an actual environment simulation experiment, and correcting the CFD simulation process according to the comparison result to obtain a target data set comprises:
the wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of blades of the wind turbine generator and the pitch angle in the data set obtained by the environment simulation experiment are led into a functional relation to obtain the experimental icing quality;
comparing the experimental icing quality with a simulation result obtained by CFD simulation software to determine whether the experimental icing quality is within an error limit; if yes, judging that the fitting degree of the simulation result is high, and taking the simulation result as the target data set; if not, generating an error analysis reason, correcting the simulation process, and obtaining a target data set according to the corrected simulation process.
4. The method for preventing icing of a wind turbine blade based on meteorological early warning information and active control according to claim 1, wherein the performing system identification on the target data set, analyzing and determining a functional relationship between different parameters and icing quality comprises:
importing the target data set into data analysis software, and respectively applying polynomial fitting to each variable on the premise of fixing other variables to obtain the frequency relation between the variable and the icing quality;
and importing all data in the target data set into the frequency relation, and obtaining a functional relation of the ambient wind speed, the temperature, the average effective diameter of supercooled water drops, the air water content, the rotating speed of a wind turbine generator blade, the pitch angle and the icing quality after using a least square method on coefficients obtained by each group of data.
5. The method for preventing icing of a wind turbine blade based on meteorological early warning information and active control according to claim 1, wherein the step of starting a wind turbine blade active control system to control the wind turbine blade according to the obtained fan rotation speed value and the pitch angle comprises the following steps:
according to a function relation between the rotation speed of the blades of the wind turbine generator and the power of the generator of the wind turbine generator, the generator of the wind turbine generator is actively supplied with power to corresponding control power;
and controlling the rotating speed of the blades of the wind turbine to reach the target rotating speed based on the control power, and controlling the pitch angle to reach the target angle.
6. Wind turbine generator system blade anti-icing device based on meteorological early warning information and active control, characterized by comprising:
the first module is used for obtaining an initial data set determined by the precision requirement through CFD simulation; the initial data set comprises data of ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
the second module is used for comparing the initial data set with the data set obtained by the actual environment simulation experiment, correcting the CFD simulation process according to the comparison result, and obtaining a target data set;
the third module is used for carrying out system identification on the target data set, analyzing and determining the functional relation between different parameters and ice coating quality; the different parameters comprise ambient wind speed, temperature, average effective diameter of supercooled water drops, air water content, rotating speed of blades of the wind turbine generator and pitch angle;
a fourth module, configured to obtain current real-time state data of an ambient wind speed, a temperature, an average effective diameter of supercooled water drops, and an air water content according to the functional relationship through meteorological early warning information, and substituting the current real-time state data into the functional relationship, and calculate to obtain a fan rotation speed value and a pitch angle when ice coating quality is minimum;
and the fifth module is used for starting the active control system of the wind turbine blade to control the wind turbine blade according to the obtained rotating speed value and pitch angle of the fan, so as to realize ice coating prevention control.
7. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program implements the method of any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that the storage medium stores a program that is executed by a processor to implement the method of any one of claims 1 to 5.
9. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1 to 5.
CN202310084629.8A 2023-01-19 2023-01-19 Wind turbine generator blade icing prevention method based on meteorological early warning information and active control Pending CN116044683A (en)

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* Cited by examiner, † Cited by third party
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CN117803521A (en) * 2023-12-15 2024-04-02 暨南大学 Anti-icing method and system for fan blade, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117803521A (en) * 2023-12-15 2024-04-02 暨南大学 Anti-icing method and system for fan blade, electronic equipment and storage medium
CN117803521B (en) * 2023-12-15 2024-07-12 暨南大学 Anti-icing method and system for fan blade, electronic equipment and storage medium

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