CN116292098B - Energy collecting method for capturing wind energy by unit blades - Google Patents

Energy collecting method for capturing wind energy by unit blades Download PDF

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Publication number
CN116292098B
CN116292098B CN202310573686.2A CN202310573686A CN116292098B CN 116292098 B CN116292098 B CN 116292098B CN 202310573686 A CN202310573686 A CN 202310573686A CN 116292098 B CN116292098 B CN 116292098B
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China
Prior art keywords
wind
blades
current
blade
unit
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CN202310573686.2A
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CN116292098A (en
Inventor
宋杰
余小明
姚天龙
潘强
张亚平
杜洪杰
张海
杜海
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Xi'an Xinfeng Power Technology Co ltd
Huaneng Xinjiang Qinghe Wind Power Generation Co ltd
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Xi'an Xinfeng Power Technology Co ltd
Huaneng Xinjiang Qinghe Wind Power Generation Co ltd
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Priority to CN202310573686.2A priority Critical patent/CN116292098B/en
Publication of CN116292098A publication Critical patent/CN116292098A/en
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    • 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
    • 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
    • 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
    • F03D7/028—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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • 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
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/304—Spool rotational speed
    • 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
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/32—Wind speeds
    • 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
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/321—Wind directions
    • 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
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/334—Vibration measurements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/06—Wind turbines or wind farms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/08—Fluids
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
    • 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

Abstract

The invention provides an energy collecting method for capturing wind energy by unit blades, which belongs to the technical field of wind power generation and comprises the following steps: acquiring the current geographic position of a unit blade and acquiring the wind direction and the wind speed of the current geographic position; dividing the collected wind directions in directions, and determining an incoming flow wind speed set of the unit blades in each dividing direction; constructing a vibration dynamic model according to the relation between the vibration frequency and the rotating speed of the unit blades and constructing a power dynamic model according to the relation between the rotating speed and the power; analyzing the incoming flow wind speed set by using a vibration dynamic model and a power dynamic model to obtain an optimal wind energy capturing angle; and setting working parameters for the unit blades according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the unit blades to collect energy according to the working parameters. The problem that wind energy capturing and utilizing rate is low when wind power is too large or wind direction is not matched with blades is solved, the wind turbine generator is vibrated, the wind turbine generator is damaged due to long-time vibration, and the wind turbine generator is braked.

Description

Energy collecting method for capturing wind energy by unit blades
Technical Field
The invention relates to the technical field of wind power generation, in particular to an energy collecting method for capturing wind energy by a unit blade.
Background
At present, along with the air pollution becoming more serious, wind energy is one of the schemes for improving the current situation as clean renewable energy, random change of wind speed can lead to obvious fluctuation of wind power, and simultaneously, set blades are used as main carriers of aerodynamic load of wind turbines, and can directly influence safe and stable operation of the wind turbines, so that control of set blade load in a micro-grid is very important, but when the prior art is in actual use, wind power is too large or wind direction is not matched with blades, vibration can be generated by the wind turbines, long-time vibration can lead to damage of the wind turbines, and wind energy capturing utilization rate can be reduced when braking the wind turbines in the process.
Therefore, the invention provides an energy collecting method for capturing wind energy by the unit blades.
Disclosure of Invention
The invention provides an energy collection method for capturing wind energy by unit blades, which comprises the steps of obtaining the current geographic position of the current unit blade, collecting the wind direction and the wind speed of the current geographic position, dividing the collected wind direction in directions to determine the incoming flow wind speed set of the current unit blade in each dividing direction, building a vibration dynamic model according to a first functional relation between the vibration frequency and the rotating speed of the current unit blade, building a power dynamic model according to a second functional relation between the rotating speed and the power, analyzing the incoming flow wind speed set of the current unit blade in each dividing direction by utilizing the vibration dynamic model and the power dynamic model, determining the optimal wind energy capturing angle, setting working parameters for the current unit blade according to the target incoming flow wind speed of the optimal wind energy capturing angle, and controlling the current unit blade to collect energy according to the working parameters so as to solve the problems that the wind turbine is excessively high in the background technology or the wind direction is not matched with the blade, the wind turbine is vibrated, the wind turbine is damaged due to long-time vibration, and the wind energy capturing utilization rate is reduced when the wind turbine is braked in the process.
The invention provides an energy collecting method for capturing wind energy by unit blades, which comprises the following steps:
step 1: acquiring the current geographic position of the current unit blade, and acquiring the wind direction and the wind speed of the current geographic position in real time;
step 2: dividing the collected wind directions to determine an incoming flow wind speed set of the current unit blade in each dividing direction;
step 3: establishing a vibration dynamic model according to a first functional relation between the vibration frequency and the rotating speed of the current unit blade, and establishing a power dynamic model according to a second functional relation between the rotating speed and the power;
step 4: analyzing an incoming flow wind speed set of the current unit blade in each dividing direction by using the vibration dynamic model and the power dynamic model to determine an optimal wind energy capturing angle;
step 5: setting working parameters to the current unit blades according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the current unit blades to collect energy according to the working parameters.
Preferably, the method for acquiring the current geographic position of the current unit blade and acquiring the wind direction and the wind speed of the current geographic position in real time includes:
determining the current geographic position of the current unit blade by using the longitude and latitude, and determining each direction of the current geographic position by using a compass;
marking each direction on a base of a wind vane which is deployed in advance and corresponds to the current unit blade, and acquiring the wind direction of the current geographic position;
acquiring a rotation signal of a sensor impeller, and converting the rotation signal of the impeller into an electric signal;
and transmitting the electric signals to a processor, and determining the wind speed.
Preferably, the direction division is performed on the collected wind direction to determine an incoming flow wind speed set of the current unit blade at each division direction, including:
acquiring wind direction measurement data in a specified time period;
acquiring an incoming wind direction in a complete sampling period based on the wind direction measurement data, and integrating the incoming wind directions belonging to the same interval angle;
based on the integration result, determining wind speeds of different division angles under the same interval angle;
and integrating all wind speeds under the same dividing angle to generate an incoming flow wind speed set of the current unit blade in the corresponding dividing direction.
Preferably, the method for constructing the vibration dynamic model according to the first functional relation between the vibration frequency and the rotating speed of the current unit blade and constructing the power dynamic model according to the second functional relation between the rotating speed and the power comprises the following steps:
determining a first proportional change ratio between the vibration frequency and the rotating speed of the unit blade according to a first functional relation;
constructing a vibration dynamic model based on the first proportional change proportion;
determining a second proportional change ratio between the power and the rotating speed of the unit blade according to a second functional relation;
and constructing a power dynamic model based on the second proportional-to-change proportion.
Preferably, the analyzing the incoming flow wind speed set of the current unit blade in each division direction by using the vibration dynamic model and the power dynamic model, and determining the optimal wind energy capturing angle comprises the following steps:
modeling a set of unit blade rotating speeds under different vibration frequencies by using the vibration dynamic model;
generating unit blade stability evaluation conditions according to the number of the current unit blades, the blade area and the structural parameters;
selecting a plurality of first rotation speed points meeting the conditions in the set blade rotation speed set based on the set blade stability evaluation conditions;
utilizing the power dynamic simulation to simulate a set of unit blade rotating speeds under different power consumption;
generating a unit blade use cost evaluation condition according to the power consumption related parameters of the current unit blade;
selecting a plurality of second rotating speed points meeting the conditions in the rotating speed set of the unit blade based on the using cost evaluation conditions of the unit blade;
selecting a plurality of third rotation speed points which coexist between the first rotation speed point and the second rotation speed point;
selecting a fourth rotating speed point with highest stability and lowest cost from the plurality of third rotating speed points;
an experience library is called to determine the energy collecting efficiency of the fourth rotating speed point in each dividing direction;
selecting a direction corresponding to the optimal energy collecting efficiency as an optimal wind energy capturing direction;
and determining the coordinate angle of the optimal wind energy capturing direction as the optimal wind energy capturing angle.
Preferably, setting working parameters for the current unit blade according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the current unit blade to collect energy according to the working parameters, including:
determining the optimal use length and the optimal wind resistance area of the current unit blade according to the target incoming wind speed of the optimal wind energy capturing angle;
and setting the current adjusting length and the current adjusting area of the unit blades according to the optimal using length and the optimal wind resistance area, and controlling the current unit blades to collect energy.
Preferably, the method further comprises:
setting a pitch angle optimizing condition, and adjusting the pitch angle of the current unit blade to be a target pitch angle according to the optimizing condition;
acquiring the wind sweeping area of the current unit blade and the air density of a wind power plant;
selecting a plurality of measurement points based on the target pitch angle;
calculating the average wind speed in the sampling time period and the average power of the unit blades in the sampling time period according to the sampling data of the plurality of measuring points;
and calculating the wind energy utilization rate under the target pitch angle based on the wind sweeping area of the unit blades, the air density of the wind power plant, the average wind speed and the average power.
Preferably, generating the unit blade stability evaluation condition according to the number of blades, the area of the blades and the structural parameters of the current unit blade includes:
determining the landform type of the current geographic position of the current unit blade;
constructing a geomorphic model of the current geographic position according to the geomorphic type and the current geographic geomorphic;
simulating a unit blade stability judging index set under the current landform based on the landform model by using engineering simulation software;
determining the association weight factors of each judging index in the set of unit blade stability judging indexes under the current topography and the number of blades, the area of the blades and the structural parameters of the unit blade respectively;
respectively selecting a plurality of target judgment indexes which are more than or equal to a preset threshold value with respective association weight factors of the number, the area and the structural parameters of the blades of the unit as association judgment indexes;
constructing a geomorphic stability prediction model of the unit blades according to the respective associated judgment indexes of the number, the area and the structural parameters of the unit blades;
determining energy conversion functions among the energy collection of the unit blades and the number, the area and the structural parameters of the blades, and determining respective stability limiting factors of the number, the area and the structural parameters of the blades according to the energy conversion functions;
the method comprises the steps of importing respective stability limiting factors of the number of blades, the area of the blades and the structural parameters into model nodes of a geomorphic stability prediction model of the unit blades, inputting the number of the blades, the area of the blades and the structural parameters of the current unit blades into the geomorphic stability prediction model of the unit blades, and determining the respective current stability limiting factors of the number of the blades, the area of the blades and the structural parameters;
generating unit blade stability evaluation conditions according to the current stability limiting factors of the number of blades, the area of the blades and the structural parameters.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of an energy harvesting method for capturing wind energy by a set of blades in an embodiment of the invention;
FIG. 2 is another flow chart of an energy harvesting method for capturing wind energy by a set of blades in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the invention provides an energy collecting method for capturing wind energy by unit blades, which is shown in fig. 1 and comprises the following steps:
step 1: acquiring the current geographic position of the current unit blade, and acquiring the wind direction and the wind speed of the current geographic position in real time;
step 2: dividing the collected wind directions to determine an incoming flow wind speed set of the current unit blade in each dividing direction;
step 3: establishing a vibration dynamic model according to a first functional relation between the vibration frequency and the rotating speed of the current unit blade, and establishing a power dynamic model according to a second functional relation between the rotating speed and the power;
step 4: analyzing an incoming flow wind speed set of the current unit blade in each dividing direction by using the vibration dynamic model and the power dynamic model to determine an optimal wind energy capturing angle;
step 5: setting working parameters to the current unit blades according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the current unit blades to collect energy according to the working parameters.
In this embodiment, the current geographic location refers to the geographic location of the unit blade, possibly on a mountain or on a level ground.
In this embodiment, wind direction refers to the direction of the wind at the time of sampling, such as southeast or northwest wind.
In this embodiment, the wind speed refers to the distance that air flows in the horizontal direction per unit time, and may be expressed as distance +.time=wind speed, the unit is typically expressed in m/s or km/h.
In this embodiment, the direction division refers to dividing the wind from the same direction but different angles into one type, for example, dividing the southeast wind into a set a, obtaining the wind speeds of all southeast winds in the same direction but different angles in the set a, dividing the northwest wind into a set B, and obtaining the wind speeds of all northwest winds in the same direction but different angles in the set B.
Wherein, the wind speeds of all southeast wind with the same direction and different angles are concentrated in A, for example, the first wind is scraped from the direction of 30 degrees in the southeast direction and the second wind is scraped from the direction of 35 degrees in the southeast direction, and the wind speeds of all northwest wind with the same direction and different angles are concentrated in B so as to be integrated into an incoming flow wind speed set.
In this embodiment, the vibration frequency refers to the number of times the unit blade vibrates per second in the operating state, and is in hertz.
In this embodiment, the rotation speed refers to the number of turns of the unit blade around the circle center along the circumference in unit time when the unit blade performs circular motion.
In the embodiment, the vibration dynamic model is a model for simulating the vibration frequency and the rotating speed of the unit blade, and a positive correlation relationship between the vibration frequency and the rotating speed can be observed through the simulation model.
In the embodiment, the power dynamic model is a model for simulating the power and the rotating speed of the unit blade, and a positive correlation relationship between the vibration frequency and the rotating speed can be observed through the simulation model.
In this embodiment, the optimal wind energy capture angle is the angle with the lowest cost and highest stability, such as 30 degrees southeast in the southeast direction.
In this embodiment, the operating parameters are the number of blades of the unit blade, and the size of the blade area.
And if the wind speed is higher, the number of the blades of the unit is reduced, and the area of the blades is reduced.
The beneficial effects of the technical scheme are as follows: the wind direction and the wind speed of the geographic position of the current unit blade are obtained, the wind direction is divided to obtain an incoming wind speed set, a vibration dynamic model is built according to the vibration frequency and the rotation speed of the unit blade, a power dynamic model is built according to the rotation speed and the power, and the optimal wind energy capturing angle is obtained, so that the problem that the wind energy capturing efficiency is low due to the fact that the wind direction is not matched with the blade or the wind speed is overlarge can be solved.
Example 2:
the invention provides an energy collecting method for capturing wind energy by unit blades, which is shown in fig. 2, and comprises the steps of obtaining the current geographic position of the current unit blade, and collecting the wind direction and the wind speed of the current geographic position in real time, wherein the method comprises the following steps:
s01: determining the current geographic position of the current unit blade by using the longitude and latitude, and determining each direction of the current geographic position by using a compass;
s02: marking each direction on a base of a wind vane which is deployed in advance and corresponds to the current unit blade, and acquiring the wind direction of the current geographic position;
s03: acquiring a rotation signal of a sensor impeller, and converting the rotation signal of the impeller into an electric signal;
s04: and transmitting the electric signals to a processor, and determining the wind speed.
In this embodiment, longitude and latitude refer to a spherical coordinate system that uses a three-dimensional sphere to define a space on earth, for example, the east longitude of the current unit blade is 39 degrees 5, and the north latitude is 110 degrees.
In this embodiment, the current geographic location refers to the geographic location of the unit blade, possibly on a mountain or on a level ground.
In this embodiment, each direction is to use the unit blade as the center, and determine the east, south, west and north of the current geographic position by using the compass.
In this embodiment, wind direction refers to the direction of the wind during the sampling time, such as southeast or northwest wind.
The beneficial effects of the technical scheme are as follows: the wind speed can be accurately determined by determining each direction of the position of the current unit blade and acquiring the wind direction of the current geographic position and the rotation signal of the sensor impeller, so that a foundation is laid for the follow-up determination of the optimal wind energy capturing angle.
Example 3:
the invention provides an energy collecting method for capturing wind energy by unit blades, which divides the collected wind direction to determine the incoming flow wind speed set of the current unit blade in each dividing direction, and comprises the following steps:
acquiring wind direction measurement data in a specified time period;
acquiring an incoming wind direction in a complete sampling period based on the wind direction measurement data, and integrating the incoming wind directions belonging to the same interval angle;
based on the integration result, determining wind speeds of different division angles under the same interval angle;
and integrating all wind speeds under the same dividing angle to generate an incoming flow wind speed set of the current unit blade in the corresponding dividing direction.
In this embodiment, the specified time period may be 9-12 am.
In this embodiment, the complete adoption period is preset, for example, the direction of the incoming wind within 30 minutes of collection, and then, for example, 9:10-9:40 is considered as one complete sampling period, 9:00-9:10 is considered to be an incomplete sampling period.
In this embodiment, the wind direction measurement data is data for measuring wind direction, the same section is divided into a plurality of angles, a plurality of incoming wind directions of a plurality of angles are obtained, for example, the section is from north to south in 0-90 degrees, 0-10 degrees is an incoming wind direction, 11-20 degrees is an incoming wind direction, and the data of the same angle section but different incoming wind directions are integrated.
Wherein, integrating all wind speeds under the same division angle means that all wind speeds under the same division angle are removed from the maximum wind speed and the minimum wind speed,
in this embodiment, the incoming wind speed set refers to direction division, that is, wind from the same direction but different angles is divided into a class, for example, southeast wind is divided into a set a, wind speeds of all southeast winds in the same direction but different angles in the set a are obtained, northwest wind is divided into a set B, and wind speeds of all northwest winds in the same direction but different angles in the set B are obtained.
Wherein, the wind speeds of all southeast wind with the same direction and different angles are concentrated in A, for example, the first wind is scraped from the direction of 30 degrees in the southeast direction and the second wind is scraped from the direction of 35 degrees in the southeast direction, and the wind speeds of all northwest wind with the same direction and different angles are concentrated in B so as to be integrated into an incoming flow wind speed set.
The beneficial effects of the technical scheme are as follows: through integrating the incoming wind directions belonging to the same interval angle, the wind speeds of different division angles under the same interval angle are determined and integrated, an incoming flow wind speed set is generated, the wind speeds in the division directions are conveniently obtained, and the optimal wind energy capturing angle can be determined more quickly.
Example 4:
the invention provides an energy collecting method for capturing wind energy by a unit blade, which establishes and constructs a vibration dynamic model according to a first functional relation between the vibration frequency and the rotating speed of the current unit blade and establishes and constructs a power dynamic model according to a second functional relation between the rotating speed and the power, and comprises the following steps:
determining a first proportional change ratio between the vibration frequency and the rotating speed of the unit blade according to a first functional relation;
constructing a vibration dynamic model based on the first proportional change proportion;
determining a second proportional change ratio between the power and the rotating speed of the unit blade according to a second functional relation;
and constructing a power dynamic model based on the second proportional-to-change proportion.
In this embodiment, the first functional relationship refers to that the rotational speed changes with the speed of the vibration frequency, and the faster the vibration frequency, the faster the rotational speed of the unit blade.
In this embodiment, the second functional relationship means that the rotational speed changes with the power, and the higher the power, the faster the rotational speed of the unit blade.
Wherein the first functional relationship and the second functional relationship are both positive correlations.
The beneficial effects of the technical scheme are as follows: the first proportional proportion existing between the vibration frequency and the rotation speed of the unit blade and the second proportional proportion existing between the power and the rotation speed of the unit blade are determined according to the relation that the rotation speed changes along with the speed of the vibration frequency, and the vibration dynamic model and the power dynamic model are constructed, so that the change relation between the frequency and the rotation speed, between the power and the rotation speed can be observed more conveniently.
Example 5:
the invention provides an energy collecting method for capturing wind energy by unit blades, which utilizes the vibration dynamic model and the power dynamic model to analyze incoming wind speed sets of the current unit blades in all dividing directions, and determines an optimal wind energy capturing angle, and comprises the following steps:
modeling a set of unit blade rotating speeds under different vibration frequencies by using the vibration dynamic model;
generating unit blade stability evaluation conditions according to the number of the current unit blades, the blade area and the structural parameters;
selecting a plurality of first rotation speed points meeting the conditions in the set blade rotation speed set based on the set blade stability evaluation conditions;
utilizing the power dynamic simulation to simulate a set of unit blade rotating speeds under different power consumption;
generating a unit blade use cost evaluation condition according to the power consumption related parameters of the current unit blade;
selecting a plurality of second rotating speed points meeting the conditions in the rotating speed set of the unit blade based on the using cost evaluation conditions of the unit blade;
selecting a plurality of third rotation speed points which coexist between the first rotation speed point and the second rotation speed point;
selecting a fourth rotating speed point with highest stability and lowest cost from the plurality of third rotating speed points;
an experience library is called to determine the energy collecting efficiency of the fourth rotating speed point in each dividing direction;
selecting a direction corresponding to the optimal energy collecting efficiency as an optimal wind energy capturing direction;
and determining the coordinate angle of the optimal wind energy capturing direction as the optimal wind energy capturing angle.
In this embodiment, the unit blade stability evaluation condition is that the maximum upper limit of the number of blades and the area of the blades is 3, for example, the maximum upper limit of the number of blades is 50 square meters when the stability of the unit blade is high.
In this embodiment, the use cost evaluation condition refers to the power consumption cost when the energy collection performance of the unit blade is guaranteed to be on the middle.
In this embodiment, the set of rotational speeds of the blades of the unit is a vibration dynamic model simulation, for example, when the vibration frequency is 20 hz, the rotational speed of the blades is 5 circles/second, and when the vibration frequency is 30 hz, the rotational speed of the blades is 10 circles/second, and the rotational speeds at the different rotational frequencies are integrated.
In this embodiment, the structural parameters refer to the height of the unit blade, the length and width of the blade.
In this embodiment, the first rotation speed point refers to a rotation speed conforming to stability, for example, 5 circles/second, 10 circles/second, 12 circles/second, 15 circles/second, and the conforming condition refers to a stability condition, a number of blades set at an optimal stability, and a blade area.
In this embodiment, the power consumption related parameter refers to voltage and consumed electric energy during rotation of the unit blade, and the use cost evaluation condition is generated according to the parameters, for example, the rotation speed point of the unit blade with voltage below 300V and consumed electric energy of 100kw/h is met.
In this embodiment, the experience library refers to a map database in which the relationship between the rotational speed and the energy collection efficiency is recorded.
In this embodiment, the second rotation speed point is a rotation speed point which is suitable for low use cost, for example, 5 circles/second, 10 circles/second, 11 circles/second, 15 circles/second.
In this embodiment, the third rotation speed point is 5 turns/second, 10 turns/second, 15 turns/second.
In this embodiment, the fourth rotation speed point means 5 turns/second, 10 turns/second, 15 turns/second at the first rotation speed point. The point with the highest stability is selected, and the point with the lowest cost is selected from the second rotating speed point of 5 circles/second, 10 circles/second and 15 circles/second, for example, 10 circles/second.
In this embodiment, the energy collecting efficiency refers to the speed of capturing wind energy in a preset time, which is expressed as a percentage, wherein the preset time is 1 hour.
In this embodiment, the optimal wind energy capture angle is, for example, 50 degrees in the southeast direction.
The beneficial effects of the technical scheme are as follows: the rotation speed point with highest stability and lowest cost is obtained through the related parameters and the power consumption parameters of the unit blades, and the optimal wind energy capturing angle is determined, so that the wind energy capturing efficiency can be highest, and the wind energy capturing efficiency is prevented from being too low when the area of the blades is too large or is not matched.
Example 6:
the invention provides an energy collecting method for capturing wind energy by unit blades, which comprises the steps of setting working parameters for the current unit blades according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the current unit blades to collect energy according to the working parameters, wherein the energy collecting method comprises the following steps:
determining the optimal use length and the optimal wind resistance area of the current unit blade according to the target incoming wind speed of the optimal wind energy capturing angle;
and setting the current adjusting length and the current adjusting area of the unit blades according to the optimal using length and the optimal wind resistance area, and controlling the current unit blades to collect energy.
In this embodiment, the optimal use length and the optimal wind blocking area of the unit blade are both data under the condition of ensuring that the wind energy capturing efficiency is highest, for example, the optimal use length of the unit blade is 5 meters, and the optimal wind blocking area of the unit blade is 50 square meters, so that the wind energy capturing efficiency is highest.
The beneficial effects of the technical scheme are as follows: the energy collecting efficiency can be greatly improved by determining the optimal use length and the optimal wind power blocking area of the unit blades under the optimal wind power capturing angle and adjusting the length and the area of the current blades according to the optimal use length and the optimal wind power blocking area.
Example 7:
the invention provides an energy collecting method for capturing wind energy by a unit blade, which further comprises the following steps:
setting a pitch angle optimizing condition, and adjusting the pitch angle of the current unit blade to be a target pitch angle according to the optimizing condition;
acquiring the wind sweeping area of the current unit blade and the air density of a wind power plant;
selecting a plurality of measurement points based on the target pitch angle;
calculating the average wind speed in the sampling time period and the average power of the unit blades in the sampling time period according to the sampling data of the plurality of measuring points;
and calculating the wind energy utilization rate under the target pitch angle based on the wind sweeping area of the unit blades, the air density of the wind power plant, the average wind speed and the average power.
In this embodiment, in the wind generating set, if the plane in which the three blades are located is taken as a reference plane, then the angle between any one blade and the reference plane is the blade pitch angle.
In this embodiment, the optimizing condition refers to an optimizing range, for example, from 0 degrees in the east to 50 degrees in the south of the east.
In this embodiment, the average wind speedThe method comprises the following steps:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Expressed as mean wind speed>Expressed as a measurement point wind speed, M is expressed as a total number of measurement points of the plurality of measurement points.
Average powerThe method comprises the following steps:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Expressed as average power +.>Expressed as measured point power, +.>Expressed as the total number of measurement points of the plurality of measurement points.
Wind energy utilization rateThe method comprises the following steps:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Expressed as average power +.>Expressed as wind farm air density, +.>Expressed as mean wind speed>Expressed as wind area of the unit blade +.>Expressed as average power.
The beneficial effects of the technical scheme are as follows: by setting the pitch angle optimizing condition and solving the wind energy utilization rate under the target pitch angle so as to acquire the wind energy utilization rates under different pitch angles, the highest wind energy utilization rate can be rapidly determined when the pitch angle is the same, and the pitch angle of the unit blades can be accurately adjusted.
Example 8:
the invention provides an energy collecting method for capturing wind energy by unit blades, which generates unit blade stability evaluation conditions according to the number of the current unit blades, the area of the blades and structural parameters, and comprises the following steps:
determining the landform type of the current geographic position of the current unit blade;
constructing a geomorphic model of the current geographic position according to the geomorphic type and the current geographic geomorphic;
simulating a unit blade stability judging index set under the current landform based on the landform model by using engineering simulation software;
determining the association weight factors of each judging index in the set of unit blade stability judging indexes under the current topography and the number of blades, the area of the blades and the structural parameters of the unit blade respectively;
respectively selecting a plurality of target judgment indexes which are more than or equal to a preset threshold value with respective association weight factors of the number, the area and the structural parameters of the blades of the unit as association judgment indexes;
constructing a geomorphic stability prediction model of the unit blades according to the respective associated judgment indexes of the number, the area and the structural parameters of the unit blades;
determining energy conversion functions among the energy collection of the unit blades and the number, the area and the structural parameters of the blades, and determining respective stability limiting factors of the number, the area and the structural parameters of the blades according to the energy conversion functions;
the method comprises the steps of importing respective stability limiting factors of the number of blades, the area of the blades and the structural parameters into model nodes of a geomorphic stability prediction model of the unit blades, inputting the number of the blades, the area of the blades and the structural parameters of the current unit blades into the geomorphic stability prediction model of the unit blades, and determining the respective current stability limiting factors of the number of the blades, the area of the blades and the structural parameters;
generating unit blade stability evaluation conditions according to the current stability limiting factors of the number of blades, the area of the blades and the structural parameters.
In this embodiment, determining the current stability limit factor for each of the number of blades, the blade area, and the structural parameter includes:
based on the landform stability prediction model, analyzing respective stability limiting factors of the number of blades, the area of the blades and the structural parameters, and establishing a stability limiting comparison table;
the method comprises the steps of obtaining the number of blades, the area of the blades and the structural parameters of a current unit blade, comparing and analyzing with a stability limiting comparison table, and judging the first comparison number of the blades of the current unit blade, the second comparison number of the area of the blades of the current unit blade and the third comparison number of the structural parameters of the current unit blade;
when the first comparison number, the second comparison number and the third comparison number are all 0, the first value with the closest locking blade number, the second value with the closest locking blade area and the third value with the closest locking structure parameter are obtained;
stability limiting factors based on different values are calculated separately:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,the number of the blades of the current unit is represented; />Representing a first value; />Represents the locking with +.>And->Values in the same control range; s1 represents a stability limiting factor for the number of blades of the current unit blade; />Representing the blade area of the current unit blade; />Representing a second value; />Represents the locking with +.>And->At the position ofValues from the control range; />Representing structural parameters of the current unit blades; />Representing a third value; />Represents the locking with +.>And->Values in the same control range; s2 represents a stability limiting factor for the blade area of the current unit blade; s3, representing a stability limiting factor for the structural parameters of the current unit blade; />Indicating when->When in use, and->A matched stability limiting factor; />Indicating when->When in use, and->A matched stability limiting factor; />Indicating whenWhen in use, and->A matched stability limiting factor; />Indicating when->When in use, and->A matched stability limiting factor; />Indicating when->When in use, and->A matched stability limiting factor; />Indicating whenWhen in use, and->A matched stability limiting factor; />Indicating when->A stability limiting factor that is consistent with the right-hand value of the control; />Indicating when->A stability limiting factor that is consistent with the control left-hand value; />Indicating when->A stability limiting factor that is consistent with the right-hand value of the control; />Indicating whenA stability limiting factor that is consistent with the control left-hand value; />Indicating when->A stability limiting factor that is consistent with the right-hand value of the control; />Indicating when->A stability limiting factor that is consistent with the control left-hand value; max represents the maximum value symbol; min represents a minimum symbol;
in this embodiment, the stability limit table includes a plurality of sets of blade numbers, blade areas, and structural parameters as a reference control standard.
In this embodiment, whenAt this time, the range obtained by the comparison: />At this time, the position of the first electrode,is positioned at->In between, due to g1 and +.>Inconsistent, and g1 is also identical to +.>Inconsistencies, which indirectly indicate that there is not a completely consistent stability limit factor, require the calculation of the corresponding stability limit factor by means of a formula.
In this embodiment, the landform type may be plain or hillside.
In this embodiment, the relief model is a model that simulates an actual relief, and reduces a real-time relief in an equal proportion.
In this embodiment, the set of unit blade stability determination indexes refers to a set of indexes for determining whether the unit blade is stable, for example, the length of the unit blade is 5 meters, the width of the unit blade is thinner and thinner from the center position to the outside, and cannot be smaller than 2 meters, and cannot be larger than 5 meters.
In this embodiment, the preset threshold may be 0.8.
In this embodiment, the stability evaluation condition is that the number of blades is too large or the area of the blades is too large, which may cause weight unbalance and further limit the stability of the blades of the unit, so that the stability evaluation condition is that the proper number of blades, such as 3 blades, is selected under the condition of ensuring that the weight is not unbalanced.
In this embodiment, the associated weight factor refers to an increasing or decreasing weight of each determination index by the number of blades, the area of the blades, and the change of the structural parameter of the unit blade, for example, the increasing or decreasing weight of the rotational speed stability determination index by the number of blades and the structural parameter of the unit blade is smaller, and the increasing or decreasing weight of the area of the blades of the unit blade is larger, for example, the area of the blades is too large, which results in the wind not blowing the blade, so that the influence of the area of the blades is large, and the number of the blades is too large, or the rotational speed is only small.
In this embodiment, the associated determination index refers to an associated reference determination index of each of the number of blades, the blade area, and the structural parameters of the unit blade for the stability of the unit blade.
In this embodiment, the energy conversion function refers to a function of changing the energy collection efficiency of the unit blade when the energy collection capacity of the unit blade is changed with the number of blades, the area of the blades and the structural parameters of the unit blade, and when the number of the blades is too large and the area of the blades is too large, the energy collection efficiency is too low, so that the energy conversion rate is low.
In this embodiment, the stability limiting factor refers to a factor that affects the number of blades and the area of the blades, for example, the number of blades exceeds a certain threshold value, the stability decreases, the area of the blades exceeds a certain threshold value, for example, the number of blades exceeds 3, the friction of the blades increases, the stability of the blades of the unit decreases, and if the area of the blades exceeds 50 square meters, the wind area of the blades is too large, and the blades lose stability.
In this example, stability evaluation conditions: { number limiting factor, area limiting factor, parameter limiting factor }.
In this embodiment, determining the associated weight factor of each determination index in the set of unit blade stability determination indexes under the current topography, with the number of blades, the area of the blades, and the structural parameters of the unit blade, includes:
establishing a first association function G1 (D1, P1) of the current landform and the judging index, wherein D1 represents the current landform and P1 represents the judging index;
mapping to obtain a standard blade number range, a standard blade area range and a standard range of each result parameter based on the first correlation function G1 (D1, P1) based on a function mapping database;
comparing the standard blade number range with a first weight assignment table, and setting an associated weight factor related to the blade number;
comparing the standard blade area range with a second weight assignment table, and setting an associated weight factor related to the blade area;
comparing the standard range of each structural parameter with a matched third weight assignment table respectively to obtain a first factor aiming at each structural parameter;
calculating all the pairs of factors to obtain associated weight factors related to the structural parameters;
the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Representing the i first factor; />A parameter duty cycle representing a structural parameter corresponding to the i first factor; />Representing the largest factor among all the first factors; />Representing associated weight factors for the structural parameters.
In this embodiment, the function mapping database includes different association functions and the number, area and parameter ranges matched with the association functions, so that the comparison range corresponding to each determination index can be directly obtained.
In this embodiment, the first weight assignment table, the second weight assignment table, and the third weight assignment table are all preset, mainly for comparison with the relevant range to determine the weight factor corresponding to the corresponding determination index.
The beneficial effects of the technical scheme are as follows: by constructing the current landform model, simulating a blade stability index set of the vinegar-eating unit blade, determining the associated weight factors of each judgment index, the number of the blades and the area of the blades, constructing a landform stability prediction model of the unit blade, determining the stability limiting factors, generating unit blade stability evaluation conditions, quickly determining whether the unit blade is stable, timely adjusting the unit blade and improving the energy collecting efficiency.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (5)

1. An energy harvesting method for capturing wind energy by a set of blades, the method comprising:
step 1: acquiring the current geographic position of the current unit blade, and acquiring the wind direction and the wind speed of the current geographic position in real time;
step 2: dividing the collected wind directions to determine an incoming flow wind speed set of the current unit blade in each dividing direction;
step 3: establishing a vibration dynamic model according to a first functional relation between the vibration frequency and the rotating speed of the current unit blade, and establishing a power dynamic model according to a second functional relation between the rotating speed and the power;
step 4: analyzing an incoming flow wind speed set of the current unit blade in each dividing direction by using the vibration dynamic model and the power dynamic model to determine an optimal wind energy capturing angle;
step 5: setting working parameters to the current unit blades according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the current unit blades to collect energy according to the working parameters;
the method for analyzing the incoming flow wind speed set of the current unit blade in each dividing direction by utilizing the vibration dynamic model and the power dynamic model to determine the optimal wind energy capturing angle comprises the following steps:
modeling a set of unit blade rotating speeds under different vibration frequencies by using the vibration dynamic model;
generating unit blade stability evaluation conditions according to the number of the current unit blades, the blade area and the structural parameters;
selecting a plurality of first rotation speed points meeting the conditions in the set blade rotation speed set based on the set blade stability evaluation conditions;
utilizing the power dynamic simulation to simulate a set of unit blade rotating speeds under different power consumption;
generating a unit blade use cost evaluation condition according to the power consumption related parameters of the current unit blade;
selecting a plurality of second rotating speed points meeting the conditions in the rotating speed set of the unit blade based on the using cost evaluation conditions of the unit blade;
selecting a plurality of third rotation speed points which coexist between the first rotation speed point and the second rotation speed point;
selecting a fourth rotating speed point with highest stability and lowest cost from the plurality of third rotating speed points;
an experience library is called to determine the energy collecting efficiency of the fourth rotating speed point in each dividing direction;
selecting a direction corresponding to the optimal energy collecting efficiency as an optimal wind energy capturing direction;
determining a coordinate angle of the optimal wind energy capturing direction as an optimal wind energy capturing angle;
setting working parameters for the current unit blades according to the target incoming wind speed of the optimal wind energy capturing angle, and controlling the current unit blades to collect energy according to the working parameters, wherein the method comprises the following steps:
determining the optimal use length and the optimal wind resistance area of the current unit blade according to the target incoming wind speed of the optimal wind energy capturing angle;
setting the current adjusting length and the current adjusting area of the unit blades according to the optimal using length and the optimal wind resistance area, and controlling the current unit blades to collect energy;
generating unit blade stability evaluation conditions according to the number of blades, the area of the blades and the structural parameters of the current unit blade, wherein the unit blade stability evaluation conditions comprise:
determining the landform type of the current geographic position of the current unit blade;
constructing a geomorphic model of the current geographic position according to the geomorphic type and the current geographic geomorphic;
simulating a unit blade stability judging index set under the current landform based on the landform model by using engineering simulation software;
determining the association weight factors of each judging index in the set of unit blade stability judging indexes under the current topography and the number of blades, the area of the blades and the structural parameters of the unit blade respectively;
respectively selecting a plurality of target judgment indexes which are more than or equal to a preset threshold value with respective association weight factors of the number, the area and the structural parameters of the blades of the unit as association judgment indexes;
constructing a geomorphic stability prediction model of the unit blades according to the respective associated judgment indexes of the number, the area and the structural parameters of the unit blades;
determining energy conversion functions among the energy collection of the unit blades and the number, the area and the structural parameters of the blades, and determining respective stability limiting factors of the number, the area and the structural parameters of the blades according to the energy conversion functions;
the method comprises the steps of importing respective stability limiting factors of the number of blades, the area of the blades and the structural parameters into model nodes of a geomorphic stability prediction model of the unit blades, inputting the number of the blades, the area of the blades and the structural parameters of the current unit blades into the geomorphic stability prediction model of the unit blades, and determining the respective current stability limiting factors of the number of the blades, the area of the blades and the structural parameters;
generating unit blade stability evaluation conditions according to the current stability limiting factors of the number of blades, the area of the blades and the structural parameters.
2. The method of claim 1, wherein obtaining the current geographical location of the current turbine blade and collecting the wind direction and the wind speed of the current geographical location in real time comprises:
determining the current geographic position of the current unit blade by using the longitude and latitude, and determining each direction of the current geographic position by using a compass;
marking each direction on a base of a wind vane which is deployed in advance and corresponds to the current unit blade, and acquiring the wind direction of the current geographic position;
acquiring a rotation signal of a sensor impeller, and converting the rotation signal of the impeller into an electric signal;
and transmitting the electric signals to a processor, and determining the wind speed.
3. The method of claim 1, wherein the dividing the collected wind direction to determine the incoming wind speed set of the current set of blades at each divided direction comprises:
acquiring wind direction measurement data in a specified time period;
acquiring an incoming wind direction in a complete sampling period based on the wind direction measurement data, and integrating the incoming wind directions belonging to the same interval angle;
based on the integration result, determining wind speeds of different division angles under the same interval angle;
and integrating all wind speeds under the same dividing angle to generate an incoming flow wind speed set of the current unit blade in the corresponding dividing direction.
4. The method of claim 1, wherein building a vibration dynamic model from a first functional relationship between the vibration frequency and the rotational speed of the current unit blade and building a power dynamic model from a second functional relationship between the rotational speed and the power comprises:
determining a first proportional change ratio between the vibration frequency and the rotating speed of the unit blade according to a first functional relation;
constructing a vibration dynamic model based on the first proportional change proportion;
determining a second proportional change ratio between the power and the rotating speed of the unit blade according to a second functional relation;
and constructing a power dynamic model based on the second proportional-to-change proportion.
5. The method of collecting energy from wind energy captured by a turbine blade of claim 1, further comprising:
setting a pitch angle optimizing condition, and adjusting the pitch angle of the current unit blade to be a target pitch angle according to the optimizing condition;
acquiring the wind sweeping area of the current unit blade and the air density of a wind power plant;
selecting a plurality of measurement points based on the target pitch angle;
calculating the average wind speed in the sampling time period and the average power of the unit blades in the sampling time period according to the sampling data of the plurality of measuring points;
and calculating the wind energy utilization rate under the target pitch angle based on the wind sweeping area of the unit blades, the air density of the wind power plant, the average wind speed and the average power.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108334672A (en) * 2018-01-14 2018-07-27 浙江大学 Variable Speed Wind Power Generator maximal wind-energy capture method based on effective wind speed estimation
CN113221281A (en) * 2021-05-18 2021-08-06 上海绿色环保能源有限公司 Method for predicting influence of wind speed on dynamic characteristics of fan blade
CN114372330A (en) * 2022-01-14 2022-04-19 华能新能源股份有限公司山西分公司 Wind turbine generator set power characteristic control method
WO2022142412A1 (en) * 2020-12-31 2022-07-07 中国华能集团清洁能源技术研究院有限公司 Wind turbine generator control method and system
CN114876732A (en) * 2022-06-29 2022-08-09 华能集团技术创新中心有限公司 Control method and device for variable pitch of wind turbine generator

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108334672A (en) * 2018-01-14 2018-07-27 浙江大学 Variable Speed Wind Power Generator maximal wind-energy capture method based on effective wind speed estimation
WO2022142412A1 (en) * 2020-12-31 2022-07-07 中国华能集团清洁能源技术研究院有限公司 Wind turbine generator control method and system
CN113221281A (en) * 2021-05-18 2021-08-06 上海绿色环保能源有限公司 Method for predicting influence of wind speed on dynamic characteristics of fan blade
CN114372330A (en) * 2022-01-14 2022-04-19 华能新能源股份有限公司山西分公司 Wind turbine generator set power characteristic control method
CN114876732A (en) * 2022-06-29 2022-08-09 华能集团技术创新中心有限公司 Control method and device for variable pitch of wind turbine generator

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
变速恒频风力发电机组最大能量捕获策略研究;艾青;;湖北民族学院学报(自然科学版)(第02期);全文 *

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