Wind power plant wind speed and wind direction inversion analysis method

Abstract

The invention provides a wind speed and wind direction inversion analysis method for a wind power plant, which comprises the following steps of: respectively determining a wind generator set at the east, west, south and north ends of the boundary of the wind power plant as a representative machine position point, and arranging a laser radar on each representative machine position point. The distance from the target measuring point position to the wind power plant is a set distance; acquiring the wind speed and the wind direction of the target measuring point position acquired by each laser radar; determining a wind speed and wind direction correction weight corresponding to each representative camera location point based on the wind direction of the target measurement point position; determining a wind speed and wind direction adjustment coefficient corresponding to each representative camera site based on the position information of each representative camera site; and for the target measuring point position with the set distance being zero, calculating the current wind speed and the current wind direction of the wind power plant based on the wind speed and the wind direction of the target measuring point position acquired by each laser radar and the wind speed and wind direction correction weight and the wind speed and wind direction adjustment coefficient of the corresponding representative machine position point.

Description

Technical Field

[0001] The present invention relates to the field of wind power technology, and in particular to a method for inversion analysis of wind speed and direction in a wind farm. Background Art

[0002] During operation, wind turbines are affected by external environments such as constantly changing wind speed and direction, and the state of the equipment will change, which may seriously affect the safe operation of the unit. If the wind speed and direction of the wind farm can be sensed in advance and the possible risks of failure can be predicted, it will be of great significance to the safety of wind turbine equipment.

[0003] Conventional wind turbine wind speed and direction measurements use nacelle anemometers, which can only measure the local wind speed direction above the wind turbine nacelle. Because it is located behind the wind turbine blades and is easily disturbed by the rotation of the blades, the measured wind speed and direction lag behind and deviate from the wind turbine inflow.

[0004] Nacelle-type laser radar can accurately measure the wind speed and direction within a few hundred meters ahead, and is not affected by the blades. The measurement is accurate, but the cost is high. If all the dozens or hundreds of wind turbines in a wind farm are equipped with nacelle-type laser radar devices, the cost is high, and the wind turbines inside the wind farm are easily blocked by the wind turbines in front, resulting in distortion of the wind speed and direction measurement data of some units. Summary of the invention

[0005] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, the first object of the present invention is to propose a wind farm wind speed and wind direction inversion analysis method to reduce costs while accurately predicting wind speed and wind direction.

[0007] The second object of the present invention is to provide a wind speed and direction inversion analysis system for a wind farm.

[0008] A third objective of the present invention is to provide an electronic device.

[0009] A fourth object of the present invention is to provide a computer-readable storage medium.

[0010] To achieve the above-mentioned purpose, the first aspect of the present invention proposes a method for inversion analysis of wind speed and direction in a wind farm, wherein a wind turbine is respectively determined at the east, west, south and north ends of the wind farm boundary as a representative machine position, and a laser radar is arranged at each representative machine position, and the method comprises the following steps:

[0011] Determine a target measuring point position outside the wind farm, where the distance from the target measuring point position to the wind farm is a set distance;

[0012] Obtaining the wind speed and wind direction at the target measuring point location collected by each laser radar;

[0013] Determine the wind speed and direction correction weights corresponding to each representative machine position based on the wind direction of the target measuring point position;

[0014] Determine the wind speed and direction adjustment coefficient corresponding to each representative machine position based on the position information of each representative machine position;

[0015] For the target measuring point position with a set distance of zero, the current wind speed and current wind direction of the wind farm are calculated based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site.

[0016] The method of the first aspect of the present invention also includes: determining a target measurement point position set, the target measurement point position set includes multiple target measurement point positions, and the set distances corresponding to each target measurement point position are different; for each target measurement point position, based on the wind speed and wind direction of the target measurement point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site, the target wind speed and target wind direction of the corresponding wind farm are calculated; based on the target wind speed and target wind direction of the wind farm corresponding to each target measurement point position, the wind direction and wind speed change law of the wind farm is obtained.

[0017] In the method of the first aspect of the present invention, the wind speed and direction correction weights corresponding to each representative machine point are determined based on the wind direction of the target measuring point position, including: obtaining a first correspondence table of representative machine point position-wind direction-correction weights; and determining the wind speed and direction correction weights corresponding to four representative machine points from the first correspondence table based on the wind direction of the target measuring point position.

[0018] In the method of the first aspect of the present invention, the location information includes terrain information of the representative machine site and unit layout information of the wind farm where it is located, and the wind speed and direction adjustment coefficient corresponding to each representative machine site is determined based on the location information of each representative machine site, including: obtaining a second correspondence table of representative machine site-terrain-adjustment coefficient for different unit layouts; determining a target second correspondence table based on the unit layout of the wind farm; and determining the wind speed and direction adjustment coefficients corresponding to four representative machine sites from the target second correspondence table based on the terrain information of each representative machine site.

[0019] To achieve the above-mentioned purpose, the second aspect of the present invention proposes a wind farm wind speed and direction inversion analysis system, wherein a wind turbine is respectively determined at the east, west, south, and north ends of the wind farm boundary as a representative turbine location, and the system comprises:

[0020] A measuring point determination module is used to determine the position of a target measuring point outside the wind farm, where the distance from the target measuring point to the wind farm is a set distance;

[0021] A laser radar is arranged at each representative machine position, each laser radar is used to collect wind speed and wind direction at the target measuring point position;

[0022] A weight determination module, used to determine the wind speed and wind direction correction weights corresponding to each representative machine position based on the wind direction of the target measuring point position;

[0023] A coefficient determination module, used to determine the wind speed and direction adjustment coefficient corresponding to each representative machine site based on the location information of each representative machine site;

[0024] The inversion analysis module is used to calculate the current wind speed and current wind direction of the wind farm for a target measuring point position with a set distance of zero, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site.

[0025] In the system of the second aspect of the present invention, the measuring point determination module is further used to determine a target measuring point position set, wherein the target measuring point position set includes multiple target measuring point positions, and each target measuring point position corresponds to a different set distance; the inversion analysis module is further used to calculate the target wind speed and target wind direction of the corresponding wind farm for each target measuring point position based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site; based on the target wind speed and target wind direction of the wind farm corresponding to each target measuring point position, the wind direction and wind speed change law of the wind farm is obtained.

[0026] In the system of the second aspect of the present invention, the weight determination module is specifically used to: obtain a first correspondence table representing machine location-wind direction-correction weights; and determine the wind speed and direction correction weights corresponding to four representative machine locations from the first correspondence table based on the wind direction of the target measuring point location.

[0027] In the system of the second aspect of the present invention, the location information includes terrain information of the representative machine site and unit layout information of the wind farm where it is located, and the coefficient determination module is specifically used to: obtain a second correspondence table of representative machine site-terrain-adjustment coefficients for different unit layouts; determine a target second correspondence table based on the unit layout of the wind farm; and determine the wind speed and direction adjustment coefficients corresponding to four representative machine sites from the target second correspondence table based on the terrain information of each representative machine site.

[0028] To achieve the above-mentioned purpose, the third aspect of the present invention proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method proposed in the first aspect of the present invention.

[0029] To achieve the above-mentioned purpose, the fourth aspect of the present invention proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the method proposed in the first aspect of the present invention.

[0030] The wind speed and direction inversion analysis method, system, electronic device and storage medium provided by the present invention respectively determine a wind turbine set as a representative machine site at the four ends of the east, west, south and north of the wind farm boundary, and arrange a laser radar at each representative machine site. The method includes the following steps: determining the target measuring point position outside the wind farm, and the distance from the target measuring point position to the wind farm is a set distance; obtaining the wind speed and wind direction of the target measuring point position collected by each laser radar; determining the wind speed and wind direction correction weight corresponding to each representative machine site based on the wind direction of the target measuring point position; determining the wind speed and wind direction adjustment coefficient corresponding to each representative machine site based on the position information of each representative machine site; for the target measuring point position with a set distance of zero, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site, calculate the current wind speed and current wind direction of the wind farm. In this case, the representative machine positions at the four ends of the east, west, south and north are combined to determine the target measurement point position outside the wind farm. The wind speed and wind direction of the target measurement point position collected by each laser radar are used to adjust the wind speed and wind direction of the target measurement point position collected for the target measurement point position with a set distance of zero, combined with the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient, to obtain the current wind speed and current wind direction of the wind farm. Compared with the existing large-scale laser radar arrangement, the method of the present invention greatly reduces the cost, overcomes the data lag and deviation naturally existing in the existing wind speed and wind direction measurement using wind turbine anemometers, and improves the accuracy of the predicted wind speed and wind direction.

[0031] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0033] Figure 1 A schematic diagram of representative camera position selection provided by an embodiment of the present invention;

[0034] Figure 2 A schematic diagram of a flow chart of a method for inversion analysis of wind speed and direction in a wind farm provided by an embodiment of the present invention;

[0035] Figure 3 A block diagram of a wind farm wind speed and direction inversion analysis system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0037] The following describes a method and system for inversion analysis of wind speed and direction in a wind farm according to an embodiment of the present invention with reference to the accompanying drawings.

[0038] Based on this, an embodiment of the present invention provides a method for inversion analysis of wind speed and direction in a wind farm, so as to accurately predict wind speed and direction while reducing costs.

[0039] In the present invention, firstly, a wind turbine set is determined at each of the four ends of the wind farm boundary, namely, east, west, south, and north, as a representative machine site (also referred to as a representative machine site), and a laser radar is arranged at each representative machine site.

[0040] Figure 1 A schematic diagram of representative camera position selection provided by an embodiment of the present invention.

[0041] like Figure 1 As shown, the wind farm includes three rows of units, and the units of the wind farm are arranged in an approximately parallelogram shape. A wind turbine unit is determined as a representative machine position at each of the four ends of the wind farm boundary, namely the north representative machine position, the south representative machine position, the east representative machine position and the west representative machine position. A laser radar is arranged at each of the four representative machine positions. The laser radar can detect wind speed and direction data within a set range around the machine position, for example, within a range of 500 meters. It should be noted that Figure 1 The number of units and the arrangement of units in the wind farm shown are for illustration only, and the number of units and the arrangement of units in the wind farm targeted by the present invention are not limited thereto.

[0042] Figure 2 A schematic flow chart of a method for inversion analysis of wind speed and direction in a wind farm provided by an embodiment of the present invention.

[0043] like Figure 2 As shown, the wind farm wind speed and direction inversion analysis method includes the following steps:

[0044] Step S101, determining a target measuring point position outside a wind farm, wherein the distance from the target measuring point position to the wind farm is a set distance.

[0045] In step S101, the target measuring point position outside the wind farm is determined, and the distance from the target measuring point position to the wind farm is the set distance. Considering that the wind farm has a certain area, the distance from the target measuring point position to the wind farm in this embodiment refers to the shortest distance from the target measuring point position to the wind farm boundary.

[0046] It should be noted that the target measurement point is within the detection range of the four laser radars.

[0047] In some embodiments, the number of the determined target measuring point positions may be multiple. Specifically, in step S101, a target measuring point position set may also be determined, the target measuring point position set including multiple target measuring point positions, and the set distances corresponding to the target measuring point positions are different. For example, the target measuring point position set may include 5 target measuring point positions, and the set distances corresponding to the target measuring point positions are 0, 100, 200, 300, and 400 meters, respectively.

[0048] Step S102, obtaining the wind speed and wind direction of the target measuring point position collected by each laser radar.

[0049] In step S102, the laser radars arranged at each representative machine site can detect the wind speed and direction data within a set range around the machine site. Therefore, after determining the target measuring point position, the wind speed and wind direction of each target measuring point position collected are filtered out from the wind speed and wind direction data collected by each laser radar.

[0050] Step S103, determining the wind speed and direction correction weights corresponding to each representative machine position based on the wind direction at the target measuring point.

[0051] In step S103, the wind speed and direction correction weights corresponding to each representative machine site are determined based on the wind direction of the target measuring point, including: obtaining a first correspondence table of representative machine site-wind direction-correction weights; determining the wind speed and direction correction weights corresponding to the four representative machine sites from the first correspondence table based on the wind direction of the target measuring point. The wind speed and direction correction weights corresponding to each representative machine site can be expressed as P 1,i i = N, E, S, W. The determined wind speed and wind direction correction weights are subsequently used to correct the wind speed and wind direction at the target measuring point to reduce the influence of wind direction on the detection data of different laser radars.

[0052] In some embodiments, for example, a first correspondence table of machine site-wind direction-correction weight is shown in Table 1.

[0053] Table 1 The first correspondence table of aircraft position-wind direction-correction weight

[0054]

[0055] Based on Table 1, if the wind direction at the target measuring point is due north (i.e., the wind direction is 0 degrees), the wind speed and direction correction weight P corresponding to the north representative position is 1,N The wind speed and direction correction weight P corresponding to the east position is 1 / 2. 1,E The wind speed and direction correction weight P corresponding to the south representative position is 1 / 4.1,S 0, the west represents the wind speed and direction correction weight P corresponding to the aircraft position 1,W is 1 / 4.

[0056] Step S104: determining the wind speed and direction adjustment coefficient corresponding to each representative machine site based on the location information of each representative machine site.

[0057] In step S104, the location information includes terrain information representing the machine site and the unit layout information of the wind farm where the machine site is located. The terrain information is, for example, a mountain top or a valley, etc. The unit layout information is, for example, a rectangle, a circle, an irregular shape, etc.

[0058] In step S104, the wind speed and direction adjustment coefficients corresponding to each representative station are determined based on the location information of each representative station, including: obtaining a second correspondence table of representative station locations-terrain-adjustment coefficients for different unit arrangements; determining a target second correspondence table based on the unit arrangement of the wind farm; and determining the wind speed and direction adjustment coefficients corresponding to the four representative station locations from the target second correspondence table based on the terrain information of each representative station location. The wind speed and direction adjustment coefficients corresponding to each representative station location can be expressed as P 2,i i = N, E, S, W. The determined wind speed and wind direction adjustment coefficient is subsequently used to adjust the wind speed and wind direction at the target measuring point to reduce the influence of terrain information and unit arrangement information on the detection data of different laser radars.

[0059] Each different unit arrangement has a corresponding second correspondence table of representative unit site-terrain-adjustment coefficient. Based on the unit arrangement of the wind farm in the embodiment of the present invention, the second correspondence table corresponding to the same unit arrangement is determined from all second correspondence tables as the target second correspondence table. Then, according to the terrain information of the four representative unit sites, the wind speed and direction adjustment coefficient corresponding to each representative unit site is determined from the target second correspondence table.

[0060] Step S105, for the target measuring point position with a set distance of zero, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site, the current wind speed and current wind direction of the wind farm are calculated.

[0061] In step S105, for each target measuring point, equations (1) and (2) are used to obtain the corresponding wind direction α of the wind farm: 风场 and wind speed v 风场 :

[0062] α 风场 =∑ i＝N，E，S，W P 1，i ·P 2，i α i (1)

[0063] v 风场 =∑ i＝N，E，S，W P 1，i ·P 2，i ·v i (2)

[0064] In the formula, α i is the wind direction of the target measuring point collected by each laser radar, v i is the wind speed at the target measuring point collected by each laser radar. 1,i P is the wind speed and direction correction weight corresponding to each representative station. 2,i is the wind speed and direction adjustment coefficient corresponding to each representative machine position.

[0065] Among them, for the target measuring point position with a set distance of zero, the corresponding wind direction and wind speed of the wind farm are obtained by using equations (1) and (2), which are the current wind speed and current wind direction of the wind farm.

[0066] In some embodiments, considering that the wind speed and wind direction of the target measuring point positions at different set distances correspond to the wind speed and wind direction of the wind farm at different future times, in order to obtain the wind direction and wind speed change law of the wind farm in the future period of time, the method of the present invention also includes: for each target measuring point position in the target measuring point position set, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine position, the target wind speed and target wind direction of the corresponding wind farm are calculated; based on the target wind speed and target wind direction of the wind farm corresponding to each target measuring point position, the wind direction and wind speed change law of the wind farm is obtained. Specifically, for each target measuring point position, the target wind speed and target wind direction of the corresponding wind farm can be obtained by using formula (1) and formula (2), the target time range of the wind reaching the wind farm at each target measuring point position can be calculated based on the set distance and target wind speed of each target measuring point position, and the wind direction and wind speed change law within the target time range can be obtained based on the target wind speed and target wind direction corresponding to each target measuring point position.

[0067] In order to implement the above embodiment, the present invention also proposes a wind farm wind speed and direction inversion analysis system. A wind turbine is determined as a representative generator site at each of the four ends of the wind farm boundary: east, west, south, and north.

[0068] Figure 3 A block diagram of a wind farm wind speed and direction inversion analysis system provided by an embodiment of the present invention.

[0069] like Figure 3 As shown, the wind farm wind speed and direction inversion analysis system includes a measurement point determination module 11, a laser radar 12, a weight determination module 13, a coefficient determination module 14 and an inversion analysis module 15, wherein:

[0070] The measuring point determination module 11 is used to determine the position of the target measuring point outside the wind farm, and the distance from the target measuring point to the wind farm is the set distance;

[0071] A laser radar 12 is arranged at each representative machine position, each laser radar is used to collect wind speed and wind direction at the target measuring point;

[0072] A weight determination module 13, used to determine the wind speed and wind direction correction weights corresponding to each representative machine position based on the wind direction of the target measuring point;

[0073] A coefficient determination module 14 is used to determine the wind speed and direction adjustment coefficient corresponding to each representative machine site based on the location information of each representative machine site;

[0074] The inversion analysis module 15 is used to calculate the current wind speed and current wind direction of the wind farm for the target measuring point position with a set distance of zero, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site.

[0075] Furthermore, in a possible implementation of an embodiment of the present invention, the measuring point determination module 11 is also used to determine a target measuring point position set, the target measuring point position set includes multiple target measuring point positions, and the set distances corresponding to each target measuring point position are different; the inversion analysis module 15 is also used to calculate the target wind speed and target wind direction of the corresponding wind farm for each target measuring point position based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weights and wind speed and wind direction adjustment coefficients of the corresponding representative machine sites; based on the target wind speed and target wind direction of the wind farm corresponding to each target measuring point position, the wind direction and wind speed change law of the wind farm is obtained.

[0076] Furthermore, in a possible implementation of an embodiment of the present invention, the weight determination module 13 is specifically used to: obtain a first correspondence table representing machine location-wind direction-correction weights; and determine the wind speed and direction correction weights corresponding to the four representative machine locations from the first correspondence table based on the wind direction of the target measuring point location.

[0077] Furthermore, in a possible implementation of an embodiment of the present invention, the location information includes terrain information of the representative machine site and unit layout information of the wind farm where it is located, and the coefficient determination module 14 is specifically used to: obtain a second correspondence table of representative machine site-terrain-adjustment coefficients for different unit layouts; determine a target second correspondence table based on the unit layout of the wind farm; and determine the wind speed and direction adjustment coefficients corresponding to the four representative machine sites from the target second correspondence table based on the terrain information of each representative machine site.

[0078] It should be noted that the above explanation of the embodiment of the wind farm wind speed and wind direction inversion analysis method is also applicable to the wind farm wind speed and wind direction inversion analysis system of this embodiment, and will not be repeated here.

[0079] In an embodiment of the present invention, a wind turbine set is respectively determined at the four ends of the east, west, south and north of the wind farm boundary as a representative machine site, and a laser radar is arranged at each representative machine site. The method includes the following steps: determining a target measuring point position outside the wind farm, wherein the distance from the target measuring point position to the wind farm is a set distance; obtaining the wind speed and wind direction of the target measuring point position collected by each laser radar; determining the wind speed and wind direction correction weight corresponding to each representative machine site based on the wind direction of the target measuring point position; determining the wind speed and wind direction adjustment coefficient corresponding to each representative machine site based on the position information of each representative machine site; for the target measuring point position with a set distance of zero, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site, the current wind speed and current wind direction of the wind farm are calculated. In this case, the representative machine positions at the four ends of the east, west, south and north are combined to determine the target measurement point position outside the wind farm. The wind speed and wind direction of the target measurement point position collected by each laser radar are used to adjust the wind speed and wind direction of the target measurement point position collected for the target measurement point position with a set distance of zero, combined with the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient, to obtain the current wind speed and current wind direction of the wind farm. Compared with the existing large-scale laser radar arrangement, the method of the present invention greatly reduces the cost, overcomes the data lag and deviation naturally existing in the existing wind speed and wind direction measurement using wind turbine anemometers, and improves the accuracy of the predicted wind speed and wind direction.

[0080] The method and system of the present invention selects a representative machine site at the boundary of the wind farm, installs a nacelle-type laser radar at the representative machine site, uses the nacelle-type laser radar wind measurement technology, obtains the wind speed and direction data within a set range around the representative machine site, and uses the position relationship of the representative machine site to perform weight analysis difference calculation on the laser radar wind speed and direction data to measure the current wind speed and wind direction of the wind farm, as well as the wind speed and wind direction data of the entire field in the future. By using the laser radar wind measurement data of a small number of wind turbines in the wind farm, the wind speed and wind direction changes of the entire wind farm are inverted, which overcomes the data lag and deviation naturally existing in the wind turbine anemometer wind measurement, and also avoids the high cost and interference of installing laser radars on all units in the wind farm. It can effectively and timely grasp the wind speed and wind direction changes of the entire wind farm in the future, which has obvious benefits for improving the control accuracy and power generation of the entire wind farm.

[0081] In order to implement the above embodiments, the present invention also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0082] In order to implement the above embodiments, the present invention further proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0083] In order to implement the above embodiments, the present invention further provides a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0084] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0085] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0086] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0087] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0088] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0089] A person skilled in the art can understand that all or part of the steps carried by the method of the above embodiment can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment. In addition, each functional unit in each embodiment of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software function module. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium mentioned above can be a read-only memory, a disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. A person skilled in the art can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for inversion analysis of wind speed and direction in a wind farm, characterized in that: A wind turbine is determined at each of the four ends of the wind farm boundary, i.e., east, west, south, and north, as a representative machine position, and a laser radar is arranged at each representative machine position. The method comprises the following steps: Determine a target measuring point position outside the wind farm, where the distance from the target measuring point position to the wind farm is a set distance; Obtaining the wind speed and wind direction at the target measuring point location collected by each laser radar; Determine the wind speed and direction correction weights corresponding to each representative machine position based on the wind direction of the target measuring point position; Determine the wind speed and direction adjustment coefficient corresponding to each representative machine position based on the position information of each representative machine position; For the target measuring point position with a set distance of zero, the current wind speed and current wind direction of the wind farm are calculated based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site.

2. The method for inversion analysis of wind speed and direction in a wind farm according to claim 1, characterized in that: Also includes: Determine a target measuring point position set, wherein the target measuring point position set includes a plurality of target measuring point positions, and each target measuring point position corresponds to a different set distance; For each target measuring point location, based on the wind speed and wind direction of the target measuring point location collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site, the target wind speed and target wind direction of the corresponding wind farm are calculated; The wind direction and wind speed variation law of the wind farm is obtained based on the target wind speed and target wind direction of the wind farm corresponding to each target measuring point.

3. The method for inversion analysis of wind speed and direction in a wind farm according to claim 1, characterized in that: Determining the wind speed and direction correction weights corresponding to each representative machine position based on the wind direction of the target measuring point position includes: Obtain a first correspondence table representing the aircraft position, wind direction, and correction weight; Based on the wind direction at the target measuring point, wind speed and direction correction weights corresponding to four representative machine locations are determined from the first correspondence table.

4. The method for inversion analysis of wind speed and direction in a wind farm according to claim 1, characterized in that: The location information includes the topographic information of the representative machine site and the unit arrangement information of the wind farm where the representative machine site is located. The wind speed and wind direction adjustment coefficient corresponding to each representative machine site is determined based on the location information of each representative machine site, including: Obtain a second correspondence table of representative machine location points, terrain, and adjustment coefficients for different machine unit arrangements; Determine a target second correspondence table based on the arrangement of wind farm units; Based on the terrain information of each representative machine site, the wind speed and direction adjustment coefficients corresponding to the four representative machine sites are determined from the target second correspondence table.

5. A wind farm wind speed and direction inversion analysis system, characterized in that: A wind turbine is determined at each of the four ends of the wind farm boundary as a representative turbine location. The system includes: A measuring point determination module is used to determine the position of a target measuring point outside the wind farm, where the distance from the target measuring point to the wind farm is a set distance; A laser radar is arranged at each representative machine position, each laser radar is used to collect wind speed and wind direction at the target measuring point position; A weight determination module, used to determine the wind speed and wind direction correction weights corresponding to each representative machine position based on the wind direction of the target measuring point position; A coefficient determination module, used to determine the wind speed and direction adjustment coefficient corresponding to each representative machine site based on the location information of each representative machine site; The inversion analysis module is used to calculate the current wind speed and current wind direction of the wind farm for a target measuring point position with a set distance of zero, based on the wind speed and wind direction of the target measuring point position collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site.

6. The wind farm wind speed and direction inversion analysis system according to claim 5, characterized in that: The measuring point determination module is further used to determine a target measuring point position set, wherein the target measuring point position set includes a plurality of target measuring point positions, and each target measuring point position corresponds to a different set distance; The inversion analysis module is also used to calculate the target wind speed and target wind direction of the corresponding wind farm for each target measuring point location based on the wind speed and wind direction of the target measuring point location collected by each laser radar, and the wind speed and wind direction correction weight and wind speed and wind direction adjustment coefficient of the corresponding representative machine site; and obtain the wind direction and wind speed change law of the wind farm based on the target wind speed and target wind direction of the wind farm corresponding to each target measuring point location.

7. The wind farm wind speed and direction inversion analysis system according to claim 5, characterized in that: The weight determination module is specifically used to: obtain a first correspondence table representing the machine location-wind direction-correction weight; Based on the wind direction at the target measuring point, wind speed and direction correction weights corresponding to four representative machine locations are determined from the first correspondence table.

8. The wind farm wind speed and direction inversion analysis system according to claim 5, characterized in that: The location information includes terrain information of the representative machine site and the unit arrangement information of the wind farm where it is located. The coefficient determination module is specifically used to: obtain a second correspondence relationship table of representative machine site-terrain-adjustment coefficient for different unit arrangements; determine the target second correspondence relationship table based on the unit arrangement of the wind farm; Based on the terrain information of each representative machine site, the wind speed and direction adjustment coefficients corresponding to the four representative machine sites are determined from the target second correspondence table.

9. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 4 when executed by a processor.

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