CN112555096B - Wind turbine generator yaw cooperative control method and device, electronic equipment and storage medium - Google Patents

Wind turbine generator yaw cooperative control method and device, electronic equipment and storage medium Download PDF

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CN112555096B
CN112555096B CN202011364415.9A CN202011364415A CN112555096B CN 112555096 B CN112555096 B CN 112555096B CN 202011364415 A CN202011364415 A CN 202011364415A CN 112555096 B CN112555096 B CN 112555096B
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wind
wind turbine
turbine generator
wake
yaw angle
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CN112555096A (en
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葛铭纬
马鸿亮
刘永前
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North China Electric Power University
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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
    • F03D7/0204—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor for orientation in relation to wind direction
    • 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
    • F03D7/048—Automatic control; Regulation by means of an electrical or electronic controller controlling wind farms
    • 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 disclosure relates to a wind turbine generator yaw cooperative control method, a wind turbine generator yaw cooperative control device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring the thrust coefficient of each wind turbine; acquiring the flow direction interval of two adjacent wind turbine generators; acquiring the wake expansion rate of the wind power plant; aiming at each row, determining a yaw angle of the first wind turbine generator set based on the wake expansion rate of the wind power plant and the thrust coefficient of the first wind turbine generator set; aiming at each row, determining the yaw angle of the Mth wind turbine generator in each row based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind turbine generator and the flow direction interval between the Mth wind turbine generator and the M-1 th wind turbine generator; aiming at each row, determining that the yaw angle of the Nth wind turbine generator set is 0; controlling each wind turbine generator to operate at the determined yaw angle corresponding to the wind turbine generator; m is more than 1 and less than N, and M and N are positive integers, so that the generating efficiency of the wind power plant can be remarkably improved.

Description

Wind turbine generator yaw cooperative control method and device, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical field of wind power plants, in particular to a wind turbine generator yaw cooperative control method and device, electronic equipment and a storage medium.
Background
The wake effect is that the wind turbine generator obtains energy from wind and forms a wake zone with reduced wind speed downstream of the wind turbine generator. If the downstream wind turbine set is located in the wake zone, the input wind speed of the downstream wind turbine set is lower than that of the upstream wind turbine set. The wake effect causes uneven wind speed distribution in the wind power plant, affects the operation condition of each wind turbine in the wind power plant, further affects the operation working condition and output of the wind power plant, and causes power loss of the wind power plant. Research shows that under the yawing state of the wind turbine generator, the wake flow of the wind turbine generator can obviously deflect, and the shielding of the downstream wind turbine generator is reduced. Therefore, how to realize the yaw cooperative control of the wind turbine generator is a problem to be solved urgently at present.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the present disclosure provides a wind turbine generator yaw cooperative control method, device, electronic device, and storage medium.
In a first aspect, the present disclosure provides a wind turbine yaw cooperative control method, where a wind farm where the wind turbines are located is an array wind farm, the array wind farm includes at least one row of wind turbines, and the one row of wind turbines includes N wind turbines arranged in sequence along a wind direction; the wind turbine generator yaw cooperative control method comprises the following steps:
acquiring the thrust coefficient of each wind turbine;
acquiring the flow direction interval of two adjacent wind turbine generators;
acquiring the wake expansion rate of the wind power plant;
for each row, determining a yaw angle of a first wind turbine generator set based on a wake expansion rate of the wind farm and a thrust coefficient of the first wind turbine generator set;
aiming at each row, determining the yaw angle of the Mth wind turbine generator in each row based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind turbine generator and the flow direction interval between the Mth wind turbine generator and the M-1 th wind turbine generator;
aiming at each row, determining that the yaw angle of the Nth wind turbine generator set is 0;
controlling each wind turbine generator to operate at the determined yaw angle corresponding to the determined yaw angle;
wherein M is more than 1 and less than N, and M and N are positive integers.
In a second aspect, the present disclosure further provides a wind turbine yaw cooperative control apparatus, where the array wind farm includes at least one row of wind turbines, and the row of wind turbines includes N wind turbines arranged in sequence along the wind direction; the wind turbine generator system driftage coordinated control device includes:
the thrust coefficient acquisition module is used for acquiring the thrust coefficient of each wind turbine;
the flow direction interval acquisition module is used for acquiring the flow direction interval of two adjacent wind turbine generators;
the wake expansion rate acquisition module is used for acquiring the wake expansion rate of the wind power plant;
the yaw angle determination module of the first wind turbine generator set is used for determining the yaw angle of the first wind turbine generator set aiming at each row based on the wake flow expansion rate of the wind power plant and the thrust coefficient of the first wind turbine generator set;
the yaw angle determining module of the Mth wind turbine generator set is used for determining the yaw angle of the Mth wind turbine generator set in each row based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind turbine generator set and the flow direction interval between the Mth wind turbine generator set and the (M-1) th wind turbine generator set;
the yaw angle determining module of the Nth wind turbine generator set is used for determining that the yaw angle of the Nth wind turbine generator set is 0 aiming at each row;
the control module is used for controlling each wind turbine generator to operate at the determined yaw angle corresponding to the determined yaw angle;
wherein M is more than 1 and less than N, and M and N are positive integers.
In a third aspect, the present disclosure also provides an electronic device, including: a processor and a memory;
the processor is configured to perform the steps of any of the methods described above by calling a program or instructions stored in the memory.
In a fourth aspect, the present disclosure also provides a computer-readable storage medium storing a program or instructions for causing a computer to perform the steps of any of the methods described above.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the technical scheme provided by the embodiment of the disclosure is characterized in that the yaw angle is determined by means of three parameters of the wake expansion rate of the wind power plant, the thrust coefficient of the wind generation sets and the flow direction spacing of the wind generation sets, and the wind generation sets can be operated under the determined yaw angle, so that the power generation efficiency of the wind power plant can be remarkably improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart of a wind turbine generator yaw cooperative control method provided in an embodiment of the present disclosure;
fig. 2-4 are schematic diagrams of verification results of validity verification of the technical solution provided by the present disclosure;
FIG. 5 shows a contour plot of the flow direction velocity loss at hub height for the example of step two;
fig. 6 is a flowchart of a method for implementing S130 according to an embodiment of the present disclosure;
fig. 7 is a structural block diagram of a wind turbine generator yaw cooperative control device according to an embodiment of the present disclosure;
fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
Fig. 1 is a flowchart of a wind turbine generator yaw cooperative control method provided in an embodiment of the present disclosure. The wind turbine yaw cooperative control method is suitable for the situation of the array wind power plant. Specifically, the array type wind power plant comprises at least one row of wind power units, and the row of wind power units comprises N wind power units which are sequentially arranged along the wind direction. It should be noted that, in practice, if the array wind farm includes two or more rows of wind turbine generators, in actual setting, the number of the wind turbine generators included in different rows of wind turbine generators may be equal or different.
With continued reference to fig. 1, the wind turbine generator yaw cooperative control method includes:
and S110, obtaining the thrust coefficient of each wind turbine.
The specific implementation method of the step is various, and exemplarily, a thrust coefficient curve of each wind turbine generator set in the wind power plant under different wind speeds is collected; determining the thrust coefficient C of each unit under the rated wind speed based on the thrust coefficient curve of each wind turbine under different wind speedsT。
And S120, obtaining the flow direction interval between two adjacent wind generation sets.
The distance between the wind generating sets along the wind direction and the distance between the wind generating set and the previous wind generating set is the same. Illustratively, the flow direction spacing S between the 5 th wind turbine generator and the 4 th wind turbine generator in a certain columnx5Equal to the distance between the two in the direction of the wind.
And S130, acquiring the wake flow expansion rate of the wind power plant.
The implementation method of the step has various types, illustratively, researches show that the surface roughness influences the wake expansion rate of the wind power plant, and accordingly the wake expansion rate of the wind power plant can be determined based on the surface roughness.
Optionally, research shows that the wake expansion rate of the wind power plant affects the wake average speed loss of the wind turbine generator, and accordingly, the wake average speed loss of the wind turbine generator can be set to reversely deduce the wake expansion rate of the wind power plant.
And S140, aiming at each row, determining the yaw angle of the first wind turbine generator set based on the wake expansion rate of the wind power plant and the thrust coefficient of the first wind turbine generator set.
Optionally, the method may be based on a wake expansion ratio of the wind farm, a thrust coefficient of the first wind turbine group, and
Figure BDA0002805003790000051
determining the yaw angle of the first wind turbine generator set; wherein, γ1Is the yaw angle of the first wind turbine generator set, CT1Is the thrust coefficient, k, of the first wind turbinewA is more than or equal to 0.709 and is the wake expansion rate of the wind power plant1≤0.872，0.952≤b1≤3.896。
S150, aiming at each row, determining the yaw angle of the Mth wind turbine generator in each row based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind turbine generator and the flow direction interval between the Mth wind turbine generator and the M-1 th wind turbine generator.
Optionally, the method can be based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind power generation set, the flow direction interval between the Mth wind power generation set and the M-1 th wind power generation set, and
Figure BDA0002805003790000061
determining the yaw angle of the Mth wind generation set in each row; wherein, γMIs the yaw angle, C, of the Mth wind turbine generator setTMIs the thrust coefficient of the Mth wind turbine generator set, SxMFlow direction interval k between the Mth and the M-1 th wind turbine generator setwThe wake expansion rate of the wind power plant is 4.179-a2≤4.679，16.64≤b2≤17.95。
And S160, aiming at each column, determining that the yaw angle of the Nth wind turbine generator set is 0.
And S170, controlling each wind turbine generator to operate at the determined yaw angle corresponding to the determined yaw angle.
Wherein M is more than 1 and less than N, and M and N are positive integers.
The essence of the technical scheme is that the yaw angle is determined by means of three parameters of the wake expansion rate of the wind power plant, the thrust coefficient of the wind generation sets and the flow direction spacing of the wind generation sets, and each wind generation set can operate under the determined yaw angle, so that the power generation efficiency of the wind power plant can be remarkably improved.
Typically, based on the above technical scheme, a is taken1＝0.872，b1＝0.952，a2＝4.697，b216.640, in the same row of wind turbine generators, the relationship that the yaw angle of each wind turbine generator satisfies can be summarized as:
Figure BDA0002805003790000071
through the large vortex simulation verification, the leego solver of john hopkins university is adopted to simulate the yawing operation state when 5 wind turbine generators are connected in series along the flow direction, and the effectiveness of the technical scheme provided by the disclosure is verified. Fig. 2 to fig. 4 are schematic diagrams of verification results for verifying validity of the technical solution provided by the present disclosure. In fig. 2 to 4, the abscissa represents the number of the wind turbine. And the ordinate represents the result of the wind turbine generator output power after dimensionless quantization processing. yawed represents data after the wind turbine generator yaw cooperative control method provided by the disclosure is used, and nonyawed represents data after the wind turbine generator yaw cooperative control method provided by the disclosure is not used.
The method comprises the following steps: setting simulation earth surface roughness to be 0.1m, through the wake flow average velocity loss based on the wind turbine generator, the wake flow expansion rate of the reverse-thrust air-out electric field is approximately 0.05, each unit thrust coefficient is 0.75, each wind turbine generator is equal to the distance between the wind direction directions of the previous wind turbine generator, and the distances between the wind direction directions of the wind turbine generator and the previous wind turbine generator are 7D (7 times of the diameter of a wind wheel), and calculating by adopting a formula (1) to obtain a control strategy: gamma ray1＝14.0°，γ2～N-1＝26.7°，γNAnd (3) the power distribution of each unit obtained after yaw control is as shown in fig. 2, and the overall optimization efficiency is improved to 9.32%.
Step two: three parameters related to the control scheme are modified: the wind power generation system comprises a thrust coefficient of a wind turbine generator, a wake flow expansion rate of a wind power plant and a flow direction interval between wind turbine generator sets. Specifically, the surface roughness of the simulation calculation example is kept to be 0.1m, so the wake expansion rate in the control scheme is unchanged, the thrust coefficient of the wind turbine generator is firstly increased to 8/9, the unit interval is kept unchanged, and the control strategy is calculated according to the formula (1): gamma ray1＝16.5°，γ2～N-1＝28.6°，γN0 deg.. The power distribution of each unit obtained after yaw control is as shown in fig. 3, and the overall optimization efficiency is improved to 17.48%.
Step three: reducing the flow direction interval of the wind turbine generator to 6D, keeping the thrust coefficient of the generator unchanged, and calculating according to a formula (1) to obtain a control strategy: gamma ray1＝14.0°，γ2～N-1＝28.4°，γN0 deg.. The power distribution of each unit obtained after yaw control is shown in figure 4, and the overall optimization efficiency is improved to achieveThe yield was 9.90%.
Step four: and (3) simulating the flow direction velocity loss condition after the whole field optimization by taking the example flow field in the step 1, the step 2 and the step 3 as a basis. FIG. 5 shows the contour plot of the flow direction velocity loss at hub height for the example of step two. Referring to fig. 5, in the case that the spanwise distance is greater than 4D, the yaw angle of each row of wind turbine generators is controlled by using the above control method, and the wake flow interference between the spanwise directions is very little without considering the displacement effect. As can be seen from fig. 5, in the wind turbine, the wind turbine located at the rear can effectively avoid the wake region located at the front. Therefore, the technical scheme provided by the disclosure has a better effect of improving the generating efficiency of the wind power plant under the condition that the wind direction and the unit arrangement direction are the same in the whole array type wind power plant.
On the basis of the technical scheme, optionally, the array wind power plant comprises at least two rows of wind power generation sets, and the span-wise distance between every two adjacent rows of wind power generation sets is larger than or equal to 4 times of the diameter of the wind wheel. The arrangement can further improve the generating efficiency of the wind power plant.
Fig. 6 is a flowchart of a method for implementing S130 according to an embodiment of the present disclosure. Optionally, on the basis of the foregoing technical solution, if S130 is implemented by using a method of estimating the wake flow expansion rate of the wind farm reversely by using the wake flow average speed loss of the base wind turbine, referring to fig. 6, a specific implementation method of S130 includes:
s210, obtaining the power of a first wind turbine generator, the power of a second wind turbine generator and a wind energy utilization coefficient in the same row of wind turbine generators.
The implementation method of the step has various types, and exemplarily, the power of the first wind turbine generator set, the power of the second wind turbine generator set and the wind energy utilization coefficient (also called power coefficient) in the same row of wind turbine generator sets can be determined based on the power coefficient curve according to the power coefficient curve of the first wind turbine generator set and the second wind turbine generator set in the same row of wind turbine generator sets collected by the SCADA system.
S220, determining the average wake flow speed loss of the second wind turbine generator set based on the power of the first wind turbine generator set, the power of the second wind turbine generator set and the wind energy utilization coefficient in the same row of wind turbine generator sets.
The implementation method of this step is various, and exemplarily, the method is based on the power of the first wind turbine generator, the power of the second wind turbine generator, the wind energy utilization coefficient and
Figure BDA0002805003790000091
determining the wind speed on a first wind turbine generator and the wind speed on a second wind turbine generator; determining the average wake flow speed loss of the second wind turbine generator set based on the wind speed of the first wind turbine generator set and the wind speed of the second wind turbine generator set; wherein, PiThe power of the ith wind turbine generator set is shown, rho is the density of air, A is the swept area of the wind wheel, and C ispIs the coefficient of wind energy utilization, UiThe wind speed of the wind wheel of the ith wind turbine generator set is shown.
Specifically, the power of the first wind turbine generator set is brought into
Figure BDA0002805003790000092
Calculating the wind speed U of the wind wheel of the first wind turbine generator set1. Bringing the power of the second wind turbine into
Figure BDA0002805003790000093
Calculating the wind speed U of the wind wheel of the second wind turbine generator set2. Because of the wind speed U on the wind wheel of the first wind turbine generator set1Equal to the inflow velocity U0. The wake flow average velocity loss of the second wind turbine generator set is:
ΔU＝U0-U2＝U1-U2 (2)
and S230, determining the wake flow expansion rate of the wind power plant based on the wake flow average speed loss of the second wind power generation set.
There are various ways to implement this step, illustratively, the wake expansion rate of the wind farm is determined based on the wake mean velocity loss of the second wind turbine generator set, and the wake models of Shapiro and Meneveau (see Shapiro C R, Gayme D F, Meneveau C. modeling and wind turbine roads: a lifting line approach [ J ]. Journal of Fluid turbines, 2018,841: R1).
Alternatively, the wake expansion rate of the wind farm may be determined according to the following formula in the wake models of Shapiro and Meneveau.
Figure BDA0002805003790000101
Figure BDA0002805003790000102
Figure BDA0002805003790000103
In formula (3), U (x, y) is the wake velocity at the hub height of the wind turbine, and x and y are the downstream flow direction position and the span direction position of the wind turbine, respectively. In this step, the wake center is deflected y if it is not deflectedc0, at different positions x in the flow direction1，x2,…,xnFor each position of the flow direction, the diameter of the wind wheel is divided into a plurality of points in the spanwise direction, and the average value of the speed loss of each point is the speed loss delta u (x) of the position of the flow direction.
Bringing formula (2) into formula (3) to obtain
Figure BDA0002805003790000111
After the formula (5) is brought into the formula (4), the value sigma is taken0D is the diameter of the wind wheel, 0.235D, Δ w is D/2. Combined vertical (6) and formula (4) to obtain dwRegarding the functional relation of x, then assigning value to x to obtain d corresponding to xwX and its corresponding dwSubstituting into the formula (7) to obtain,
dw＝1+kwln(1+exp[(x-2R)/R]) (7)
obtaining wake expansion rate k of wind power plantw。
Optionally, on the basis of the above technical solution, it may be further configured to select x for multiple times to obtain d corresponding to each xwEach x and its corresponding dwSubstituted into equation (6) to obtain a plurality of kwFor all kwAveraging, and kwAs the equivalent wake expansion k of the wind farmw. The arrangement can improve the wake expansion rate k of the wind power plantwThe accuracy of calculation further improves the generating efficiency of the wind power plant.
Fig. 7 is a structural block diagram of a wind turbine generator yaw cooperative control device provided in the embodiment of the present disclosure. The array type wind power plant comprises at least one row of wind power units, and the row of wind power units comprises N wind power units which are sequentially arranged along the wind direction. Referring to fig. 7, the device for determining the yaw angle of the wind turbine in the array wind farm comprises:
the thrust coefficient acquisition module 710 is used for acquiring the thrust coefficient of each wind turbine;
a flow direction interval obtaining module 720, configured to obtain a flow direction interval between two adjacent wind turbine generators;
the wake expansion rate obtaining module 730 is used for obtaining the wake expansion rate of the wind power plant;
the yaw angle determination module 740 of the first wind turbine generator system is configured to determine, for each row, a yaw angle of the first wind turbine generator system based on a wake expansion rate of the wind farm and a thrust coefficient of the first wind turbine generator system;
the yaw angle determining module 750 of the Mth wind turbine generator set is used for determining the yaw angle of the Mth wind turbine generator set in each row based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind turbine generator set and the flow direction interval between the Mth wind turbine generator set and the (M-1) th wind turbine generator set;
a yaw angle determination module 760 of the nth wind turbine generator set, configured to determine, for each column, that the yaw angle of the nth wind turbine generator set is 0;
a control module 770, configured to control each wind turbine generator to operate at the determined yaw angle corresponding to the wind turbine generator;
wherein M is more than 1 and less than N, and M and N are positive integers.
Further, the yaw angle determination module of the first wind power generation unit is used for determining the yaw angle based on the wake expansion rate of the wind power plant, the thrust coefficient of the first wind power generation unit and
Figure BDA0002805003790000121
determining the yaw angle of the first wind turbine generator set;
wherein, γ1Is the yaw angle of the first wind turbine generator set, CT1Is the thrust coefficient, k, of the first wind turbinewA is more than or equal to 0.709 and is the wake expansion rate of the wind power plant1≤0.872，0.952≤b1≤3.896。
Further, the yaw angle determination module of the Mth wind turbine generator set is used for determining the yaw angle of the Mth wind turbine generator set based on the wake expansion rate of the wind farm, the thrust coefficient of the Mth wind turbine generator set, the flow direction interval between the Mth wind turbine generator set and the M-1 th wind turbine generator set and
Figure BDA0002805003790000122
determining the yaw angle of the Mth wind generation set in each row;
wherein, γMIs the yaw angle, C, of the Mth wind turbine generator setTMIs the thrust coefficient of the Mth wind turbine generator set, SxMFlow direction interval k between the Mth and the M-1 th wind turbine generator setwThe wake expansion rate of the wind power plant is 4.179-a2≤4.679，16.64≤b2≤17.95。
Further, the array wind power plant comprises at least two rows of wind power generation sets, and the span-wise distance between every two adjacent rows of wind power generation sets is larger than or equal to 4 times of the diameter of the wind wheel.
Further, the wake expansion rate obtaining module includes: the device comprises a parameter acquisition unit, a wake flow average speed loss determination unit and a wake flow expansion rate determination unit;
the parameter acquisition unit is used for acquiring the power of a first wind turbine generator, the power of a second wind turbine generator and a wind energy utilization coefficient in the same row of wind turbine generators;
the wake flow average speed loss determining unit is used for determining the wake flow average speed loss of a second wind turbine generator set based on the power of a first wind turbine generator set, the power of the second wind turbine generator set and a wind energy utilization coefficient in the same row of wind turbine generator sets;
and the wake expansion rate determining unit is used for determining the wake expansion rate of the wind power plant based on the wake average speed loss of the second wind power generation set.
Further, the wake mean velocity loss determination unit is configured to:
based on the power of the first wind turbine generator set, the power of the second wind turbine generator set, the wind energy utilization coefficient and
Figure BDA0002805003790000131
determining the wind speed on the first wind turbine generator and the wind speed on the second wind turbine generator;
determining the average wake speed loss of the second wind turbine generator based on the wind speed on the first wind turbine generator and the wind speed on the second wind turbine generator;
wherein, PiThe power of the ith wind turbine generator set is shown, rho is the density of air, A is the swept area of the wind wheel, and C ispIs the coefficient of wind energy utilization, UiThe wind speed of the wind wheel of the ith wind turbine generator set is shown.
Further, the wake expansion rate determination unit is configured to determine the wake expansion rate of the wind farm based on the wake average speed loss of the second wind turbine generator and wake models of Shapiro and Meneveau.
The device disclosed in the above embodiments can implement the processes of the methods disclosed in the above method embodiments, and has the same or corresponding beneficial effects. To avoid repetition, further description is omitted here.
Fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present disclosure, as shown in fig. 8, the electronic device may include a mobile phone, a PAD, and other intelligent terminals, and the electronic device includes:
one or more processors 301, one processor 301 being exemplified in fig. 8;
a memory 302;
the electronic device may further include: an input device 303 and an output device 304.
The processor 301, the memory 302, the input device 303 and the output device 304 in the electronic apparatus may be connected by a bus or other means, and fig. 8 illustrates an example of connection by a bus.
The memory 302 is a non-transitory computer readable storage medium, and can be used to store software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the wind turbine yaw cooperative control method of the application program in the embodiment of the present disclosure. The processor 301 executes various functional applications and data processing of the server by running the software program, instructions and modules stored in the memory 302, that is, implements the wind turbine yaw cooperative control method according to the above-described method embodiment.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to a terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus. The output means 304 may comprise a display device such as a display screen.
The embodiment of the disclosure also provides a computer-readable storage medium, which stores a program or an instruction, where the program or the instruction causes a computer to execute a wind turbine generator yaw cooperative control method, where the method includes:
acquiring the thrust coefficient of each wind turbine;
acquiring the flow direction interval of two adjacent wind turbine generators;
acquiring the wake expansion rate of the wind power plant;
for each row, determining a yaw angle of a first wind turbine generator set based on a wake expansion rate of the wind farm and a thrust coefficient of the first wind turbine generator set;
aiming at each row, determining the yaw angle of the Mth wind turbine generator in each row based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind turbine generator and the flow direction interval between the Mth wind turbine generator and the M-1 th wind turbine generator;
aiming at each row, determining that the yaw angle of the Nth wind turbine generator set is 0;
controlling each wind turbine generator to operate at the determined yaw angle corresponding to the determined yaw angle;
wherein M is more than 1 and less than N, and M and N are positive integers.
Optionally, the computer executable instruction, when executed by the computer processor, may be further used to execute a technical solution of the wind turbine yaw cooperative control method provided by any embodiment of the present disclosure.
From the above description of the embodiments, it is obvious for a person skilled in the art that the present disclosure can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present disclosure may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods of the embodiments of the present disclosure.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (5)

1. The yaw cooperative control method of the wind turbines is characterized in that a wind power plant in which the wind turbines are located is an array wind power plant, the array wind power plant comprises at least one row of wind turbines, and one row of the wind turbines comprises N wind turbines which are sequentially arranged along the wind direction; the wind turbine generator yaw cooperative control method comprises the following steps:
acquiring the thrust coefficient of each wind turbine;
acquiring the flow direction interval of two adjacent wind turbine generators;
acquiring the power of a first wind turbine generator, the power of a second wind turbine generator and a wind energy utilization coefficient in the same row of wind turbine generators;
based on first in same row of wind turbine generator systemPower of the wind turbine, power of the second wind turbine, wind energy utilization factor and
Figure FDA0003237972730000011
determining the wind speed on the first wind turbine generator and the wind speed on the second wind turbine generator, wherein PiThe power of the ith wind turbine generator set is shown, rho is the density of air, A is the swept area of the wind wheel, and C ispIs the coefficient of wind energy utilization, UiThe wind speed of the wind wheel of the ith wind turbine generator set is the wind speed of the wind wheel of the ith wind turbine generator set;
determining the average wake flow speed loss of the second wind turbine generator set based on the wind speed of the first wind turbine generator set and the wind speed of the second wind turbine generator set;
determining a wake mean velocity loss of the second wind turbine group and wake models of Shapiro and Meneveau based on the wake mean velocity loss of the second wind turbine group;
for each row, based on the wake expansion rate of the wind farm, the thrust coefficient of the first wind power unit and
Figure FDA0003237972730000012
determining a yaw angle of the first wind turbine, wherein gamma1Is the yaw angle of the first wind turbine generator set, CT1Is the thrust coefficient, k, of the first wind turbinewThe wake expansion rate of the wind power plant is more than or equal to 0.709 and less than or equal to 0.872 of a1, and more than or equal to 0.952 and less than or equal to 3.896 of b 1;
aiming at each row, based on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind power generation set, the flow direction interval between the Mth wind power generation set and the M-1 th wind power generation set and
Figure FDA0003237972730000021
determining the yaw angle of the Mth wind turbine generator set in each column, wherein gammaMIs the yaw angle, C, of the Mth wind turbine generator setTMIs the thrust coefficient of the Mth wind turbine generator set, SxMFlow direction interval k between the Mth and the M-1 th wind turbine generator setwThe wake expansion rate of the wind power plant is that a2 is more than or equal to 4.179 and is more than or equal to 4.679, b2 is more than or equal to 16.64 and is more than or equal to 217.95；
Aiming at each row, determining that the yaw angle of the Nth wind turbine generator set is 0;
controlling each wind turbine generator to operate at the determined yaw angle corresponding to the determined yaw angle;
wherein M is more than 1 and less than N, and M and N are positive integers.
2. The wind turbine yaw cooperative control method according to claim 1, wherein the arrayed wind power plant comprises at least two rows of wind turbines, and the spanwise distance between two adjacent rows of wind turbines is greater than or equal to 4 times of the diameter of the wind wheel.
3. The yaw cooperative control device of the wind turbines is characterized in that a wind power plant in which the wind turbines are located is an array wind power plant, the array wind power plant comprises at least one row of wind turbines, and the one row of wind turbines comprises N wind turbines which are sequentially arranged along the wind direction; the device for determining the yaw angle of the wind turbine generator in the array wind power plant comprises:
the thrust coefficient acquisition module is used for acquiring the thrust coefficient of each wind turbine;
the flow direction interval acquisition module is used for acquiring the flow direction interval of two adjacent wind turbine generators;
the wake expansion rate acquisition module is used for acquiring the wake expansion rate of the wind power plant;
a yaw angle determination module of the first wind power generation set, configured to determine, for each row, a yaw angle based on a wake expansion rate of the wind farm, a thrust coefficient of the first wind power generation set, and
Figure FDA0003237972730000031
determining a yaw angle of the first wind turbine, wherein gamma1Is the yaw angle of the first wind turbine generator set, CT1Is the thrust coefficient, k, of the first wind turbinewThe wake expansion rate of the wind power plant is more than or equal to 0.709 and less than or equal to 0.872 of a1, and more than or equal to 0.952 and less than or equal to 3.896 of b 1;
a yaw angle determination module of the Mth wind turbine generator set for aiming at each columnBased on the wake expansion rate of the wind power plant, the thrust coefficient of the Mth wind power generation unit, the flow direction interval between the Mth wind power generation unit and the M-1 th wind power generation unit and
Figure FDA0003237972730000032
determining the yaw angle of the Mth wind turbine generator set in each column, wherein gammaMIs the yaw angle, C, of the Mth wind turbine generator setTMIs the thrust coefficient of the Mth wind turbine generator set, SxMFlow direction interval k between the Mth and the M-1 th wind turbine generator setwThe wake expansion rate of the wind power plant is more than or equal to 4.179, a2 is more than or equal to 4.679, and b2 is more than or equal to 16.64 and less than or equal to 17.95;
the yaw angle determining module of the Nth wind turbine generator set is used for determining that the yaw angle of the Nth wind turbine generator set is 0 aiming at each row;
the control module is used for controlling each wind turbine generator to operate at the determined yaw angle corresponding to the determined yaw angle;
wherein M is more than 1 and less than N, and M and N are positive integers;
the wake expansion ratio obtaining module includes: the device comprises a parameter acquisition unit, a wake flow average speed loss determination unit and a wake flow expansion rate determination unit; wherein the content of the first and second substances,
the parameter acquisition unit is used for acquiring the power of a first wind turbine generator, the power of a second wind turbine generator and a wind energy utilization coefficient in the same row of wind turbine generators;
the wake flow average speed loss determining unit is used for determining the power of the first wind turbine generator, the power of the second wind turbine generator, the wind energy utilization coefficient and the power of the second wind turbine generator in the same row of wind turbine generators
Figure FDA0003237972730000041
Determining the wind speed on the first wind turbine generator wind wheel and the wind speed on the second wind turbine generator wind wheel, and determining the wake flow average speed loss of the second wind turbine generator based on the wind speed on the first wind turbine generator wind wheel and the wind speed on the second wind turbine generator wind wheel, wherein P isiIs the power of the ith wind turbine generator set, PiFor air density, A is the swept area of the rotor, CpFor use of wind energyCoefficient, UiThe wind speed of the wind wheel of the ith wind turbine generator set is the wind speed of the wind wheel of the ith wind turbine generator set;
and the wake expansion rate determining unit is used for determining the wake expansion rate of the wind power plant based on the wake average speed loss of the second wind power generation set and wake models of Shapiro and Meneveau.
4. An electronic device, comprising: a processor and a memory;
the processor is adapted to perform the steps of the method of any one of claims 1 to 2 by calling a program or instructions stored in the memory.
5. A computer-readable storage medium, characterized in that it stores a program or instructions for causing a computer to carry out the steps of the method according to any one of claims 1 to 2.
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