Power distribution method and device for over-speed load shedding of wind power plant and electronic equipment

Abstract

The invention relates to the technical field of wind power plant frequency modulation power control, and provides a wind power plant overspeed load shedding power distribution method and device and electronic equipment, and the wind power plant overspeed load shedding power distribution method comprises the steps: obtaining the structure parameters and wind speed information of each fan in a wind power plant, and the operation load shedding rate requirement of the wind power plant; based on the obtained data, the rotor speed of the fans in the wind power plant serves as an optimization variable, a quadratic programming problem is constructed, and constraints of the quadratic programming problem include that the total power of the fans in the wind power plant meets the operation load shedding rate requirement and the rotor speed of the fans in the wind power plant meets the rotor speed inequality requirement; based on the optimization result of the quadratic programming problem, the rotor rotating speed of a fan in the wind power plant is adjusted; and determining a power reference value of each fan in the wind power plant based on the adjusted rotor rotating speed. According to the method, the power distribution efficiency of wind power plant overspeed load shedding is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm frequency modulation power control, and in particular to a power distribution method, device and electronic equipment for overspeed load shedding in a wind farm. Background Art

[0002] With the increase in wind power installed capacity, the demand for wind power to participate in power system frequency regulation is growing. Overspeed load reduction control technology reduces power by increasing the rotor speed of wind turbines in wind farms, thus reserving spare capacity for wind farms to participate in frequency regulation. In the existing overspeed load reduction method, all wind turbines in a wind farm are unloaded at the same load reduction rate, with overspeed control being given priority. When overspeed control cannot meet the load reduction demand, variable pitch angle control is used to achieve load reduction. However, this method lacks flexibility and fails to fully utilize the individual differences and regulation potential of wind turbines in a wind farm, which may result in a waste of resources. Summary of the invention

[0003] The present invention provides a power distribution method, device and electronic equipment for overspeed load shedding in a wind farm, which are used to solve the defect of lack of flexibility in load shedding in the prior art. By taking the rotor speed of the wind turbines in the wind farm as an optimization variable, a quadratic programming problem is constructed and solved, so that the total power of the wind turbines in the wind farm meets the operating load shedding rate requirements, thereby improving the power distribution efficiency of the wind farm.

[0004] The present invention provides a power allocation method for overspeed load shedding in a wind farm, comprising: obtaining structural parameters of each wind turbine in the wind farm, wind speed information and the operating load shedding rate requirement of the wind farm; based on the acquired data, taking the rotor speed of the wind turbine in the wind farm as an optimization variable, constructing a quadratic programming problem, wherein the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operating load shedding rate requirement and the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality constraint; based on the optimization result of the quadratic programming problem, adjusting the rotor speed of the wind turbines in the wind farm; and determining the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0005] According to the power allocation method for overspeed load shedding in a wind farm provided by the present invention, based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as an optimization variable to construct a quadratic programming problem, including: calculating the optimal rotor speed and maximum output power of each wind turbine based on the structural parameters and wind speed information of each wind turbine in the wind farm; dividing the wind turbines in the wind farm based on the calculated optimal rotor speed and maximum output power of each wind turbine, dividing the wind turbines capable of maximum power point tracking into medium wind speed zone wind turbines, dividing the wind turbines with higher wind speed into high wind speed zone wind turbines, and dividing the wind turbines with lower wind speed into low wind speed zone wind turbines, the low wind speed zone wind turbines and the high wind speed zone wind turbines do not participate in overspeed load shedding, and the objective function of the quadratic programming problem includes maximizing the sum of the rotor stored kinetic energy of the wind turbines in the medium wind speed zone.

[0006] According to the power allocation method for overspeed load reduction in a wind farm provided by the present invention, based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as an optimization variable to construct a quadratic programming problem, including: constructing a speed inequality constraint, in which the lower limit of the rotor speed of the wind turbines in the medium wind speed zone in the speed inequality constraint is the optimal rotor speed, and the upper limit is the upper limit of the rotor speed; constructing a power equality constraint based on the operating load reduction rate requirement, the power equality constraint includes that the sum of the total power of the wind turbines in the wind farm meets the operating load reduction rate requirement, and the total power of the wind turbines in the wind farm includes the wind turbine power in the low wind speed zone, the wind turbine power in the medium wind speed zone, and the wind turbine power in the high wind speed zone.

[0007] According to the power allocation method for overspeed load reduction in a wind farm provided by the present invention, the power of the wind turbine in the medium wind speed zone is determined by the following steps: a line connecting two points on the boundary of the feasible domain of the optimization problem defined by the speed inequality constraint is used as a linear approximation relationship between the wind energy conversion efficiency coefficient and the rotor speed; the wind energy conversion efficiency coefficient of the wind turbine in the medium wind speed zone at the actual rotor speed is calculated according to the linear approximation relationship; and the power output of the wind turbine in the medium wind speed zone is determined by using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters and wind speed information of the wind turbine in the medium wind speed zone.

[0008] According to the power allocation method for overspeed load reduction in a wind farm provided by the present invention, the rotor speed of at most one wind turbine in the optimization result is not on the boundary of the speed constraint; the optimization result based on the quadratic programming problem adjusts the rotor speed of the wind turbines in the wind farm, including adjusting the rotor speed of at most one wind turbine.

[0009] According to the power allocation method for overspeed load reduction in a wind farm provided by the present invention, the power reference value of each wind turbine in the wind farm is determined based on the adjusted rotor speed, including: substituting the rotor speed optimization result in the medium wind speed zone into the power expression to obtain the power reference value of the wind turbine in the medium wind speed zone; setting the power reference values ​​of the wind turbine in the low wind speed zone and the wind turbine in the high wind speed zone to the maximum output power.

[0010] The present invention also provides a power distribution device for overspeed load reduction in a wind farm, comprising: an acquisition module, configured to acquire structural parameters, wind speed information and operating load reduction rate requirements of each wind turbine in the wind farm; an optimization module, configured to construct a quadratic programming problem based on the acquired data, taking the rotor speed of the wind turbines in the wind farm as an optimization variable, wherein the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operating load reduction rate requirements and that the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality constraints; an adjustment module, configured to adjust the rotor speed of the wind turbines in the wind farm based on the optimization result of the quadratic programming problem; and a determination module, configured to determine the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0011] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the power distribution method for overspeed load reduction in a wind farm as described above is implemented.

[0012] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the power distribution method for overspeed load reduction in a wind farm as described in any one of the above is implemented.

[0013] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the power allocation method for overspeed load reduction in a wind farm as described above is implemented.

[0014] The power allocation method, device and electronic equipment for overspeed load shedding in a wind farm provided by the present invention construct and solve a quadratic programming problem by taking the rotor speed of the wind turbines in the wind farm as an optimization variable, so that the total power of the wind turbines in the wind farm meets the operating load shedding rate requirements, thereby improving the power allocation efficiency for overspeed load shedding in the wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a flow chart of the power distribution method for overspeed load reduction in a wind farm provided by the present invention.

[0017] Figure 2 It is a schematic diagram of a system model composed of a wind farm, a thermal power plant and a load provided by the present invention.

[0018] Figure 3 It is a schematic diagram of the wind speed distribution of wind turbines in a wind farm provided by the present invention.

[0019] Figure 4 It is a structural schematic diagram of a power distribution device for overspeed load reduction in a wind farm provided by the present invention.

[0020] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "one", "one" or "the" do not indicate a quantitative limitation, but indicate the existence of at least one. Words such as "include" or "comprise" mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0023] The following is a brief explanation of the terms involved in the present invention.

[0024] Combine the following Figure 1-Figure 5 The invention describes a power distribution method, device and electronic equipment for overspeed load shedding in a wind farm.

[0025] Figure 1 FIG. 1 is a flow chart of a power distribution method for overspeed load shedding in a wind farm provided by the present invention, such as Figure 1As shown, the method includes the following: Step 101: Obtain structural parameters, wind speed information of each wind turbine in the wind farm and load reduction rate requirements of the wind farm.

[0026] In this embodiment, the structural parameters of the fan may include the blade radius ; Gearbox ratio ; Speed ​​upper limit ; Inertia time constant etc. Wind speed information may include wind speed ; Air density The load reduction rate requirements for wind farms can include the load reduction rate that the wind farm as a whole needs to achieve. (Ratio of load shedding reserve capacity to actual output power).

[0027] Step 102: Based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as an optimization variable to construct a quadratic programming problem.

[0028] In this embodiment, the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operating load reduction rate requirements and the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality constraint. The objective function of the quadratic programming problem may include maximizing the sum of the rotor stored kinetic energy, minimizing economic losses, and minimizing control efforts. The constraints of the quadratic programming problem may also include dynamic response constraints, safety and stability constraints, economic constraints, and wind turbine speed constraints. The objectives and constraints of the quadratic programming problem may be selected and constructed according to actual needs.

[0029] Compared with using particle swarm optimization to solve a non-convex and nonlinear complex optimization problem, quadratic programming problems can usually be solved in a shorter time through mature mathematical optimization techniques and efficient algorithms, which is particularly important for online applications that require fast response. Quadratic programming problems, especially convex quadratic programming problems, have a high probability of finding a global optimal solution, while heuristic algorithms such as particle swarm optimization are prone to falling into local optimal solutions, especially in complex and non-convex search spaces. That is, the solution process of quadratic programming problems is stable and the results are reliable, which is crucial for power control of wind farms.

[0030] Step 103: Based on the optimization result of the quadratic programming problem, adjust the rotor speed of the wind turbines in the wind farm.

[0031] In this embodiment, the optimization result may include that the rotor speed of one or more wind turbines is not within the constraint boundary, and the rotation speed of the rotor of one or more wind turbines may be adjusted.

[0032] Step 104: Determine a power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0033] In this embodiment, the power reference value of each wind turbine in the wind farm can be determined by using the power curve or performance model of the wind turbine, which usually associates the power output of the wind turbine with parameters such as rotor speed and wind speed. After the power reference value of each wind turbine in the wind farm is determined, it can be sent to each wind turbine as a power instruction, so that each wind turbine performs overspeed load reduction according to the instruction.

[0034] The power allocation method for overspeed load shedding in a wind farm provided by the present invention constructs and solves a quadratic programming problem by taking the rotor speed of the wind turbines in the wind farm as an optimization variable, so that the total power of the wind turbines in the wind farm meets the operating load shedding rate requirement, thereby improving the power allocation efficiency for overspeed load shedding in the wind farm.

[0035] In some optional implementations, based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as an optimization variable to construct a quadratic programming problem, including: calculating the optimal rotor speed of each wind turbine based on the structural parameters and wind speed information of each wind turbine in the wind farm; With maximum output power ; Based on the calculation of the optimal rotor speed and maximum output power of each wind turbine, the wind turbines in the wind farm are divided. The wind turbines that can track the maximum power point are divided into medium wind speed zone wind turbines, the wind turbines with higher wind speeds are divided into high wind speed zone wind turbines, and the wind turbines with lower wind speeds are divided into low wind speed zone wind turbines. The low wind speed zone wind turbines and the high wind speed zone wind turbines do not participate in overspeed load reduction. The objective function of the quadratic programming problem includes maximizing the sum of the rotor storage kinetic energy of the wind turbines in the medium wind speed zone. This implementation method achieves more refined power control by dividing the wind turbines, further optimizing the operating efficiency of the wind farm and the frequency regulation response capability of the power grid.

[0036] Taking the maximization of the total rotor storage kinetic energy of the wind farm as the objective function of the optimization problem can maximize the transient frequency support capacity of the wind farm. In addition, since the wind turbines in the low wind speed area and the high wind speed area do not participate in overspeed load shedding, the total rotor storage kinetic energy of the wind farm is the sum of the rotor storage kinetic energy of the wind turbines in the medium wind speed area, that is, the objective function of the optimization problem is: in, It is a collection of fans in the medium wind speed area; for The inertia time constant of fan No. for The rotor speed of the fan No. for The optimal rotor speed of fan No.

[0037] Because under certain working conditions, the optimal rotor speed of each fan are all constants, so the objective function is equivalent to: .

[0038] In some optional implementations, based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as an optimization variable to construct a quadratic programming problem, including: constructing a speed inequality constraint, in which the lower bound of the rotor speed of the wind turbines in the medium wind speed zone is the optimal rotor speed, and the upper bound is the upper limit of the rotor speed; constructing a power equality constraint based on the operating load reduction rate requirement, the power equality constraint includes that the sum of the total power of the wind turbines in the wind farm meets the operating load reduction rate requirement, and the total power of the wind turbines in the wind farm includes the wind turbine power in the low wind speed zone, the wind turbine power in the medium wind speed zone, and the wind turbine power in the high wind speed zone.

[0039] For fans in the medium wind speed range, in order to ensure the steady-state frequency support capability, the rotor speed during the frequency modulation process should not be lower than the optimal rotor speed. For fans in the medium wind speed range, the lower limit of the rotor speed is the optimal rotor speed, at which time it operates in the maximum power point tracking state; the upper limit of the rotor speed is the upper speed limit determined by the structural characteristics of the fan. . Therefore, the speed inequality constraint is: In order to achieve the preset load reduction rate requirements of the wind farm, the total power of all wind turbines in the wind farm needs to reach: The total power of the wind farm can be expressed as the sum of the power of the wind turbines with no load reduction and the power of the wind turbines with medium wind speed with load reduction: in, ; ; for Radius of fan blades; for No. fan wind speed; for No. fan gearbox ratio; for The maximum output power of fan No. when operating without load reduction.

[0040] In some optional implementations, the power of a wind turbine in the medium wind speed zone is determined by the following steps: a line connecting two points on the boundary of the feasible domain of the optimization problem defined by the speed inequality constraint is used as a linear approximation of the relationship between the wind energy conversion efficiency coefficient and the rotor speed; the wind energy conversion efficiency coefficient of the wind turbine in the medium wind speed zone at the actual rotor speed is calculated based on the linear approximation; the power output of the wind turbine in the medium wind speed zone is determined using the calculated wind energy conversion efficiency coefficient, the acquired structural parameters and wind speed information of the wind turbine in the medium wind speed zone.

[0041] The complexity of the original optimization problem mainly comes from the wind energy conversion efficiency coefficient With rotor speed The complex nonlinear relationship between and The relationship between the speed inequality constraint and the speed inequality constraint defines the feasible domain of the optimization problem, and the line connecting the two points on the boundary of the optimization feasible domain is used as the wind energy conversion efficiency coefficient. With rotor speed The linear approximate relationship between the two is expressed as follows: In the formula So the final power equation constraint is: , which is a linear constraint.

[0042] In some optional implementations, the rotor speed of at most one wind turbine in the optimization result is not on the boundary of the speed constraint; based on the optimization result of the quadratic programming problem, the rotor speed of the wind turbines in the wind farm is adjusted, including adjusting the rotor speed of at most one wind turbine. Combining the objective function, the speed inequality constraint and the power equality constraint, a quadratic programming problem is constructed: This is a non-convex quadratic programming problem with bound constraints. There are existing mathematical methods to solve it in an overall optimization manner, or you can call a solver in commercial software to solve it. The solution time of this optimization problem is much shorter than the complex optimization problems of non-convex and nonlinear in the existing methods.

[0043] According to the mathematical properties of the quadratic programming problem, in the optimization result, the rotor speed of at most one wind turbine is not on the boundary of the speed constraint, that is, the rotor speed of at most one wind turbine satisfies: Since the specific method of linear approximation is "connecting two points on the boundary of the feasible region", the linear approximation of the wind energy conversion efficiency coefficient does not bring errors to the original power equation constraint for most wind turbines whose speed is on the boundary. At most, only one wind turbine whose speed is not on the boundary brings errors to the original power equation constraint. Therefore, it is only necessary to adjust the rotor speed of this wind turbine to make the original power equation constraint hold. The original power equation is: Since only the rotor speed of this wind turbine needs to be adjusted, this is a single-variable equation that can be solved using existing mathematical methods. According to the existing algorithms and computing power level, the solution time of this single-variable equation is extremely short.

[0044] In some optional implementations, the power reference value of each wind turbine in the wind farm is determined based on the adjusted rotor speed, including: substituting the rotor speed optimization result in the medium wind speed zone into the power expression to obtain the power reference value of the wind turbine in the medium wind speed zone; setting the power reference value of the wind turbine in the low wind speed zone and the wind turbine in the high wind speed zone to the maximum output power. Since the wind turbines in the low wind speed zone and the high wind speed zone do not participate in overspeed load shedding, the power reference value of these wind turbines is the maximum output power. Substituting the rotor speed optimization result in the medium wind speed range into the power expression, the power reference value of the fan in the medium wind speed range can be obtained: The obtained power reference value can be sent to each fan as a power command.

[0045] In order to verify the application effect of the above implementation method, a Figure 2 The system model composed of wind farm, thermal power plant and load is shown in the figure. The wind farm contains 30 double-fed wind turbines with a rated capacity of 5MW (typical wind turbines), the thermal power plant contains 5 thermal power units with a rated capacity of 60MW, and the total load is 300MW. Among them, the inertia time constant of the three double-fed wind turbines is 7s, the inertia time constant of the thermal power unit is 10s, and the power frequency static characteristic coefficient of the thermal power unit is 20; the load and The load frequency regulation effect coefficient is 3. The wind speed distribution of the 30 wind turbines is as follows: Figure 3 As shown in Figure 1, each wind speed zone has corresponding wind turbines operating in the wind farm. The total load reduction power of the wind farm is set to 6% of the operating power.

[0046] Refer to the calculation results of the three power allocation methods in Table 1, and compare the method provided by the above-mentioned implementation of the present invention with the use of the particle swarm optimization algorithm to solve the original rotor speed optimization problem, and the traditional method, that is, all wind turbines in the wind farm are unloaded at the same load reduction rate, and overspeed control is given priority. When the overspeed control cannot meet the load reduction demand, the load reduction is continued through variable pitch angle control.

[0047] Compared with the particle swarm method, the total rotor stored kinetic energy of the wind farm solved by the method of the present invention is slightly smaller than that of the particle swarm method. This is because the method of the present invention linearly approximates the constraints in the original optimization problem, which deteriorates the optimization effect of the objective function, but the degree of deterioration is very small, only 2.23% in the current example. However, it is worth noting that the method of the present invention significantly reduces the calculation time of the optimization problem. Under the same computing power, the time scale is reduced from min level to hundreds of ms level, which makes this method easier to implement online application in wind farms.

[0048] Compared with the traditional method, the calculation time of both methods is in the order of hundreds of milliseconds, but the total rotor storage kinetic energy of the wind farm obtained by the method of the present invention is much higher than that of the traditional method, and the transient frequency support capability is significantly better than that of the traditional method.

[0049] The power distribution device for overspeed load shedding in a wind farm provided by the present invention is described below. The power distribution device for overspeed load shedding in a wind farm described below and the power distribution method for overspeed load shedding in a wind farm described above can correspond to each other.

[0050] Figure 4 A schematic diagram of the structure of a power distribution device for overspeed load shedding in a wind farm provided in an embodiment of the present application, as shown in FIG. Figure 4 As shown, it specifically includes: an acquisition module 401, which is configured to acquire the structural parameters, wind speed information and operating load reduction rate requirements of each wind turbine in the wind farm; an optimization module 402, which is configured to construct a quadratic programming problem based on the acquired data, taking the rotor speed of the wind turbine in the wind farm as an optimization variable, and the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operating load reduction rate requirements; an adjustment module 403, which is configured to adjust the rotor speed of the wind turbine in the wind farm based on the optimization result of the quadratic programming problem; and a determination module 404, which is configured to determine the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0051] In some optional implementations, the optimization module 402 is further configured to: calculate the optimal rotor speed and maximum output power of each wind turbine in the wind farm based on the structural parameters and wind speed information of each wind turbine in the wind farm; divide the wind turbines in the wind farm based on the calculated optimal rotor speed and maximum output power of each wind turbine, and divide the wind turbines capable of maximum power point tracking into medium wind speed zone wind turbines, wind turbines with higher wind speeds into high wind speed zone wind turbines, and wind turbines with lower wind speeds into low wind speed zone wind turbines, and the low wind speed zone wind turbines and high wind speed zone wind turbines do not participate in overspeed load reduction, and the objective function of the quadratic programming problem includes maximizing the sum of the rotor stored kinetic energy of the wind turbines in the medium wind speed zone.

[0052] In some optional implementations, the optimization module 402 is further configured to: construct a speed inequality constraint, in which the lower limit of the rotor speed of the wind turbine in the medium wind speed zone is the optimal rotor speed, and the upper limit is the upper limit of the rotor speed; construct a power equality constraint based on the operating load reduction rate requirement, the power equality constraint includes that the sum of the total power of the wind turbines in the wind farm meets the operating load reduction rate requirement, and the total power of the wind turbines in the wind farm includes the wind turbine power in the low wind speed zone, the wind turbine power in the medium wind speed zone and the wind turbine power in the high wind speed zone.

[0053] In some optional implementations, the power of a wind turbine in the medium wind speed zone is determined by the following steps: a line connecting two points on the boundary of the feasible domain of the optimization problem defined by the speed inequality constraint is used as a linear approximation of the relationship between the wind energy conversion efficiency coefficient and the rotor speed; the wind energy conversion efficiency coefficient of the wind turbine in the medium wind speed zone at the actual rotor speed is calculated based on the linear approximation; the power output of the wind turbine in the medium wind speed zone is determined using the calculated wind energy conversion efficiency coefficient, the acquired structural parameters and wind speed information of the wind turbine in the medium wind speed zone.

[0054] In some optional implementations, the rotor speed of at most one wind turbine in the optimization result is not within the boundary of the speed constraint; the adjustment module 403 is further configured to: adjust the rotor speed of at most one wind turbine.

[0055] In some optional implementations, the determination module 404 is further configured to: substitute the rotor speed optimization result in the medium wind speed zone into the power expression to obtain the power reference value of the wind turbine in the medium wind speed zone; set the power reference value of the wind turbine in the low wind speed zone and the wind turbine in the high wind speed zone to the maximum output power.

[0056] The power distribution device for overspeed load shedding in a wind farm provided by the present invention constructs and solves a quadratic programming problem by taking the rotor speed of the wind turbines in the wind farm as an optimization variable, so that the total power of the wind turbines in the wind farm meets the operating load shedding rate requirement, thereby improving the power distribution efficiency for overspeed load shedding in the wind farm.

[0057] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communication interface 520 and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the power allocation method for overspeed load shedding of the wind farm, the method comprising: obtaining the structural parameters, wind speed information and the operation load shedding rate requirements of each wind turbine in the wind farm; based on the obtained data, taking the rotor speed of the wind turbine in the wind farm as the optimization variable, constructing a quadratic programming problem, the constraints of the quadratic programming problem including that the total power of the wind turbine in the wind farm meets the operation load shedding rate requirements; based on the optimization result of the quadratic programming problem, adjusting the rotor speed of the wind turbine in the wind farm; determining the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0058] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0059] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the power allocation method for overspeed load reduction in a wind farm provided by the above methods. The method includes: obtaining structural parameters, wind speed information and operating load reduction rate requirements of each wind turbine in the wind farm; based on the acquired data, taking the rotor speed of the wind turbine in the wind farm as an optimization variable, constructing a quadratic programming problem, the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operating load reduction rate requirements; based on the optimization result of the quadratic programming problem, adjusting the rotor speed of the wind turbines in the wind farm; determining the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0060] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the power allocation method for overspeed load reduction of a wind farm provided by the above-mentioned methods, the method comprising: obtaining structural parameters, wind speed information and operating load reduction rate requirements of each wind turbine in the wind farm; based on the acquired data, taking the rotor speed of the wind turbine in the wind farm as an optimization variable, constructing a quadratic programming problem, the constraints of the quadratic programming problem including that the total power of the wind turbines in the wind farm meets the operating load reduction rate requirements; based on the optimization result of the quadratic programming problem, adjusting the rotor speed of the wind turbines in the wind farm; and determining the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0061] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0062] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A power allocation method for overspeed load shedding in a wind farm, characterized in that: include: Obtaining structural parameters, wind speed information of each wind turbine in the wind farm and operating load reduction rate requirements of the wind farm; Based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as an optimization variable to construct a quadratic programming problem, wherein the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operating load reduction rate requirement and the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality requirement; Based on the optimization result of the quadratic programming problem, adjusting the rotor speed of the wind turbines in the wind farm; A power reference value of each wind turbine in the wind farm is determined based on the adjusted rotor speed.

2. The power allocation method for overspeed load shedding in a wind farm according to claim 1, characterized in that: Based on the acquired data, the rotor speed of the wind turbine in the wind farm is used as an optimization variable to construct a quadratic programming problem, including: Calculating the optimal rotor speed and maximum output power of each wind turbine based on the structural parameters and wind speed information of each wind turbine in the wind farm; The wind turbines in the wind farm are divided based on calculating the optimal rotor speed and maximum output power of each wind turbine. The wind turbines capable of maximum power point tracking are divided into wind turbines in a medium wind speed zone, wind turbines with higher wind speeds are divided into wind turbines in a high wind speed zone, and wind turbines with lower wind speeds are divided into wind turbines in a low wind speed zone. The wind turbines in the low wind speed zone and the wind turbines in the high wind speed zone do not participate in overspeed load reduction. The objective function of the quadratic programming problem includes maximizing the sum of the rotor stored kinetic energy of the wind turbines in the medium wind speed zone.

3. The power allocation method for overspeed load shedding in a wind farm according to claim 2, characterized in that: Based on the acquired data, the rotor speed of the wind turbine in the wind farm is used as an optimization variable to construct a quadratic programming problem, including: Constructing a speed inequality constraint, wherein the lower limit of the rotor speed of the fan in the medium wind speed zone in the speed inequality constraint is the optimal rotor speed, and the upper limit is the upper limit value of the rotor speed; A power equation constraint is constructed based on the operating load reduction rate requirement, wherein the power equation constraint includes that the sum of the total powers of the wind turbines in the wind farm satisfies the operating load reduction rate requirement, and the total power of the wind turbines in the wind farm includes the wind turbine power in the low wind speed area, the wind turbine power in the medium wind speed area, and the wind turbine power in the high wind speed area.

4. The power allocation method for overspeed load shedding in a wind farm according to claim 3, characterized in that: The fan power in the medium wind speed range is determined by the following steps: The line connecting two points on the boundary of the feasible region of the optimization problem defined by the speed inequality constraint is used as the linear approximate relationship between the wind energy conversion efficiency coefficient and the rotor speed; Calculate the wind energy conversion efficiency coefficient of the wind turbine in the medium wind speed range at the actual rotor speed according to the linear approximate relationship; The power output of the wind turbine in the medium wind speed zone is determined by using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters and wind speed information of the wind turbine in the medium wind speed zone.

5. The power allocation method for overspeed load shedding in a wind farm according to claim 4, characterized in that: The rotor speed of at most one wind turbine in the optimization result is not on the boundary of the speed constraint; and adjusting the rotor speed of the wind turbines in the wind farm based on the optimization result of the quadratic programming problem includes adjusting the rotor speed of at most one wind turbine.

6. The power allocation method for overspeed load shedding in a wind farm according to claim 2, characterized in that: The step of determining the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed includes: Substitute the rotor speed optimization result in the medium wind speed range into the power expression to obtain the power reference value of the fan in the medium wind speed range; The power reference values ​​of the fans in the low wind speed zone and the fans in the high wind speed zone are set to the maximum output power.

7. A power distribution device for overspeed load shedding in a wind farm, characterized in that: include: An acquisition module is configured to acquire structural parameters and wind speed information of each wind turbine in the wind farm and an operation load reduction rate requirement of the wind farm; an optimization module configured to construct a quadratic programming problem based on the acquired data and taking the rotor speed of the wind turbines in the wind farm as an optimization variable, wherein the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operation load reduction rate requirement and the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality requirement; An adjustment module is configured to adjust the rotor speed of the wind turbine in the wind farm based on the optimization result of the quadratic programming problem; The determination module is configured to determine a power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the power allocation method for overspeed load reduction in a wind farm as claimed in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the power allocation method for overspeed load reduction in a wind farm as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the power allocation method for overspeed load reduction in a wind farm as claimed in any one of claims 1 to 6 is implemented.

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