Power distribution method and device for overspeed tripping of wind farm and electronic equipment

Abstract

The present application relates to the technical field of wind farm frequency modulation power control, and provides a wind farm overspeed load shedding power distribution method, device and electronic equipment, the wind farm overspeed load shedding power distribution method comprises: obtaining the structural parameters, wind speed information of each wind turbine in the wind farm and the operation load shedding rate requirement of the wind farm;Based on the obtained data, the rotor speed of the wind turbine in the wind farm is used as an optimization variable, a quadratic programming problem is constructed, the constraints of the quadratic programming problem include that the total power of the wind turbine in the wind farm meets the operation load shedding rate requirement and the rotor speed of the wind turbine in the wind farm meets the rotor speed inequality requirement;Based on the optimization result of the quadratic programming problem, the rotor speed of the wind turbine in the wind farm is adjusted;The power reference value of each wind turbine in the wind farm is determined based on the adjusted rotor speed.The method improves the power distribution efficiency of wind farm overspeed load shedding.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind farm frequency modulation power control, and particularly relates to a power distribution method and device for wind farm overspeed load shedding and electronic equipment. BACKGROUND

[0002] With the increase of wind power installed capacity, the demand for wind power participating in power system frequency modulation is increasing. The overspeed load shedding control technology reduces power by increasing the rotor speed of wind turbines in the wind farm, reserving standby capacity for wind farms participating in frequency modulation. In the existing overspeed load shedding method, all wind turbines in the wind farm are reduced according to the same load shedding rate, and overspeed control is performed first. When the overspeed control cannot meet the load shedding demand, the load shedding is continued through the pitch angle control. However, this method lacks flexibility and fails to fully utilize the individual differences and adjustment potential of wind turbines in the wind farm, which may cause waste of resources. SUMMARY

[0003] The present application provides a power distribution method and device for wind farm overspeed load shedding and electronic equipment to solve the defect of lack of flexibility in load shedding in the prior art. The rotor speed of wind turbines in the wind farm is used as an optimization variable to construct and solve a quadratic programming problem, so that the total power of wind turbines in the wind farm meets the operating load shedding rate requirement, and the power distribution efficiency of the wind farm is improved.

[0004] The present application provides a power distribution method for wind farm overspeed load shedding, comprising: obtaining the structural parameters, wind speed information of each wind turbine in the wind farm and the operating load shedding rate requirement of the wind farm; based on the obtained data, using the rotor speed of wind turbines in the wind farm as an optimization variable to construct a quadratic programming problem, the constraints of the quadratic programming problem including that the total power of wind turbines in the wind farm meets the operating load shedding rate requirement and the rotor speed of 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 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.

[0005] The power distribution method for overspeed tripping of a wind farm according to the present application, based on the obtained data, takes the rotor speed of the wind turbine in the wind farm as an optimization variable, and constructs 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 tripping, and the objective function of the quadratic programming problem includes maximizing the sum of the rotor kinetic energy of the medium wind speed zone wind turbines.

[0006] The power distribution method for overspeed tripping of a wind farm according to the present application, based on the obtained data, takes the rotor speed of the wind turbine in the wind farm as an optimization variable, and constructs a quadratic programming problem, including: constructing a rotor speed inequality constraint, in which the lower limit of the rotor speed of the medium wind speed zone wind turbine is the optimal rotor speed, and the upper limit is the upper limit value of the rotor speed; constructing a power equality constraint based on the operating tripping rate requirement, which includes that the total power of the wind turbines in the wind farm meets the operating tripping rate requirement, and the total power of the wind turbines in the wind farm includes the power of the low wind speed zone wind turbines, the power of the medium wind speed zone wind turbines, and the power of the high wind speed zone wind turbines.

[0007] The power distribution method for overspeed tripping of a wind farm according to the present application, the power of the medium wind speed zone wind turbine is determined by the following steps: taking the line connecting the two points on the boundary of the feasible region of the optimization problem defined by the rotor speed inequality constraint as a linear approximation relationship between the wind energy conversion efficiency coefficient and the rotor speed; calculating the wind energy conversion efficiency coefficient of the medium wind speed zone wind turbine at the actual rotor speed according to the linear approximation relationship; and determining the power output of the medium wind speed zone wind turbine using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters and wind speed information of the medium wind speed zone wind turbine.

[0008] The power distribution method for overspeed tripping of a wind farm according to the present application, in the optimization result, the rotor speed of at most one wind turbine is not on the boundary of the rotor speed constraint; and based on the optimization result of the quadratic programming problem, adjusting the rotor speed of the wind turbines in the wind farm includes adjusting the rotor speed of at most one wind turbine.

[0009] According to the power distribution method for overspeed tripping of a wind farm provided in the application, the power reference value of each wind turbine in the wind farm is determined based on the adjusted rotor speed, and the power reference value of the wind turbine in the medium wind speed area is obtained by substituting the rotor speed optimization result of the wind turbine in the medium wind speed area into a power expression; and the power reference values of the wind turbine in the low wind speed area and the wind turbine in the high wind speed area are set as the maximum output power.

[0010] The application further provides a power distribution device for overspeed tripping of a wind farm, comprising: an acquisition module configured to acquire the structural parameters of each wind turbine in the wind farm, wind speed information and the operation tripping rate requirement of the wind farm; an optimization module configured to, based on the acquired data, take the rotor speed of the wind turbine in the wind farm as an optimization variable, and construct a quadratic programming problem, wherein the constraints of the quadratic programming problem include that the total power of the wind turbine in the wind farm satisfies the operation tripping rate requirement and the rotor speed of the wind turbine in the wind farm satisfies the rotor speed inequality constraint; an adjustment module 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 configured to determine the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0011] The application further provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the power distribution method for overspeed tripping of a wind farm as described above when executing the computer program.

[0012] The application further provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executable on a processor to implement the power distribution method for overspeed tripping of a wind farm as described above.

[0013] The application further provides a computer program product comprising a computer program, wherein the computer program is executable on a processor to implement the power distribution method for overspeed tripping of a wind farm as described above.

[0014] The power distribution method for overspeed tripping of a wind farm, the device and the electronic device provided in the application take the rotor speed of the wind turbine in the wind farm as an optimization variable, construct and solve a quadratic programming problem, so that the total power of the wind turbine in the wind farm satisfies the operation tripping rate requirement, and the power distribution efficiency for overspeed tripping of the wind farm is improved. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without any creative effort.

[0016] Figure 1 This is a flowchart illustrating the power distribution method for overspeed load reduction in wind farms provided by the present invention.

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

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

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

[0020] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0022] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms “first,” “second,” and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms “an,” “a,” or “the,” and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms “comprising,” “including,” or “including,” and similar terms mean that the element or object preceding the word encompasses the element or object listed following the word and its equivalents, without excluding other elements or objects. The terms “connected,” “linked,” or “connected,” and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0023] The terminology involved in this invention will be briefly explained below.

[0024] The following is combined Figures 1-5 The present invention describes a power distribution method, apparatus, and electronic equipment for wind farm overspeed load reduction.

[0025] Figure 1 This is a flowchart illustrating the power distribution method for overspeed load reduction in wind farms provided by the present invention, as shown below. Figure 1As shown, the method comprises the following:

[0026] Step 101, obtaining the structural parameters of each wind turbine in the wind farm, wind speed information, and the operation load shedding rate requirement of the wind farm.

[0027] In this embodiment, the structural parameters of the wind turbine can include the blade radius , the gear box ratio , the upper limit of the rotational speed , the inertia time constant , etc., and the wind speed information can include the wind speed , the air density , etc. The operation load shedding rate requirement of the wind farm can include the operation load shedding rate (the ratio of the load shedding reserve capacity to the actual output power) that the wind farm as a whole needs to achieve.

[0028] Step 102, based on the obtained data, taking the rotor rotational speed of the wind turbine in the wind farm as the optimization variable, and constructing a quadratic programming problem.

[0029] In this embodiment, the constraints of the quadratic programming problem include that the total power of the wind turbine in the wind farm meets the operation load shedding rate requirement and that the rotor rotational speed of the wind turbine in the wind farm meets the rotor rotational speed inequality constraint. The objective function of the quadratic programming problem can include maximizing the sum of the rotor stored kinetic energy, minimizing the economic loss, and minimizing the control effort, etc. The constraints of the quadratic programming problem can also include dynamic response constraints, safety and stability constraints, economic constraints, and wind turbine rotational speed constraints, etc. The objectives and constraints of the quadratic programming problem can be selected and constructed according to actual needs.

[0030] Compared with solving a non-convex and non-linear complex optimization problem by using a particle swarm algorithm, the quadratic programming problem can usually be solved in a short time by mature mathematical optimization techniques and efficient algorithms, which is particularly important for online applications that require fast response. The quadratic programming problem, especially the convex quadratic programming problem, has a high probability of finding a global optimal solution, while heuristic algorithms such as the particle swarm algorithm are prone to fall into a local optimal solution, especially in a complex and non-convex search space. That is, the solution process of the quadratic programming problem is stable and the result is reliable, which is crucial for the power control of the wind farm.

[0031] Step 103, adjusting the rotor rotational speed of the wind turbine in the wind farm based on the optimization result of the quadratic programming problem.

[0032] In this embodiment, the optimization result can include that the rotor rotational speed of one or more wind turbines is not on the boundary of the constraint, which can be adjusted.

[0033] Step 104, determining the power reference value of each wind turbine in the wind farm based on the adjusted rotor rotational speed.

[0034] In this embodiment, the power reference value of each wind turbine in the wind farm can be determined using the power curve or performance model of the wind turbine. This model typically correlates the power output of the wind turbine with parameters such as rotor speed and wind speed. After determining the power reference value of each wind turbine in the wind farm, it can be issued as a power command to each wind turbine, causing each wind turbine to reduce its load according to the command.

[0035] The power allocation method for overspeed load reduction in wind farms provided by this invention constructs and solves a quadratic programming problem by using 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 reduction rate requirements, thereby improving the power allocation efficiency for overspeed load reduction in wind farms.

[0036] In some alternative 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 its structural parameters and wind speed information. With maximum output power Based on the calculated optimal rotor speed and maximum output power of each wind turbine, the wind turbines in the wind farm are divided into three zones: those capable of maximum power point tracking are classified as medium-wind-speed turbines, those with higher wind speeds as high-wind-speed turbines, and those with lower wind speeds as low-wind-speed turbines. Low-wind-speed and high-wind-speed turbines 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 medium-wind-speed turbines. This implementation achieves more refined power control through turbine classification, further optimizing the operating efficiency of the wind farm and the frequency regulation response capability of the power grid.

[0037] Maximizing the total rotor stored kinetic energy of the wind farm as the objective function of the optimization problem maximizes the transient frequency support capability of the wind farm. Furthermore, since wind turbines in low and high wind speed areas do not participate in overspeed load shedding, the total rotor stored kinetic energy of the wind farm is simply the sum of the rotor stored kinetic energy of the turbines in the medium wind speed area. Therefore, the objective function of the optimization problem is:

[0038]

[0039] in, This is a collection of wind turbines for the medium wind speed zone; for The inertial time constant of the No. 1 fan; for The rotor speed of the No. 1 fan; for The optimal rotor speed of the No. 1 fan.

[0040] Because under given operating conditions, the optimal rotor speed for each fan is... Since all variables are constants, the objective function is equivalent to:

[0041] .

[0042] In some optional implementations, based on the obtained data, the rotor speed of the wind turbine in the wind farm is taken as an optimization variable, and a quadratic programming problem is constructed, including: constructing a rotor speed inequality constraint, in which the lower limit of the rotor speed of the wind turbine in the medium wind speed area is the optimal rotor speed, and the upper limit is the upper limit value of the rotor speed; constructing a power equality constraint based on the operation load shedding rate requirement, the power equality constraint including that the total power of the wind turbines in the wind farm meets the operation load shedding rate requirement, and the total power of the wind turbines in the wind farm including the low wind speed area wind turbine power, the medium wind speed area wind turbine power and the high wind speed area wind turbine power.

[0043] For the wind turbine in the medium wind speed area, in order to ensure the steady-state frequency support capability, the rotor speed in the frequency modulation process should not be lower than the optimal rotor speed. For the wind turbine in the medium wind speed area, the lower limit of the rotor speed is the optimal rotor speed, at this time it runs in the maximum power point tracking state; the upper limit of the rotor speed is the upper limit of the rotor speed determined by the structural characteristics of the wind turbine . Therefore, the rotor speed inequality constraint is:

[0044]

[0045] In order to realize the load shedding rate requirement preset by the wind farm, the total power of all wind turbines in the wind farm needs to reach:

[0046]

[0047] And the total power of the wind farm can be expressed as the sum of the power of the wind turbines without load shedding and the wind turbines with load shedding in the medium wind speed area:

[0048]

[0049] Wherein, ; ; is the rotor speed of the wind turbine No. is the rotor speed of the wind turbine No. is the rotor speed of the wind turbine No. is the rotor speed of the wind turbine No. is the rotor speed of the wind turbine No. is the rotor speed of the wind turbine No. is the rotor speed of the wind turbine No. is the maximum output power of the wind turbine No.

[0050] In some optional implementations, the wind speed zone wind turbine power is determined by: taking the line connecting the two points on the feasible region boundary of the optimization problem defined by the rotational speed inequality constraint as a linear approximation relationship of the wind energy conversion efficiency coefficient and the rotor rotational speed; calculating the wind energy conversion efficiency coefficient of the wind speed zone wind turbine at the actual rotor rotational speed according to the linear approximation relationship; and determining the power output of the wind speed zone wind turbine by using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters of the wind speed zone wind turbine, and the wind speed information.

[0051] The complexity of the original optimization problem mainly comes from the complex nonlinear relationship between the wind energy conversion efficiency coefficient and the rotor rotational speed . Therefore, the relationship between the wind energy conversion efficiency coefficient and the rotor rotational speed can be linearly approximated, and the complex nonlinear constraint can be approximated as a linear constraint. The rotational speed inequality constraint defines the feasible region of the optimization problem, and the line connecting the two points on the optimization feasible region boundary is taken as the linear approximation relationship of the wind energy conversion efficiency coefficient and the rotor rotational speed . The expression of the linear approximation relationship of the two is:

[0052]

[0053] In the formula,

[0054]

[0055] Therefore, the final power equation constraint is:

[0056] which is a linear constraint.

[0057] In some optional implementations, the rotor rotational speed of at most one wind turbine in the optimization result is not on the boundary of the rotational speed constraint; based on the optimization result of the quadratic programming problem, the rotor rotational speed of the wind turbines in the wind farm is adjusted, including adjusting the rotor rotational speed of at most one wind turbine. The quadratic programming problem is constructed by comprehensively considering the objective function, the rotational speed inequality constraint, and the power equation constraint:

[0058]

[0059] This is a non-convex quadratic programming problem with bounded constraints, and there are existing mathematical methods to solve it as a whole, or the solver in commercial software can be called to solve it. The solving time of this optimization problem is much less than that of the complex optimization problem with non-convexity and nonlinearity in the existing method.

[0060] According to the mathematical properties of the quadratic programming problem, in the optimization result, the rotor rotational speed of at most one wind turbine is not on the boundary of the rotational speed constraint, that is, the rotor rotational speed of at most one wind turbine satisfies:

[0061]

[0062] Since the specific method of linear approximation is "connecting two points on the boundary of the feasible region", for most of the wind turbines whose rotational speed is on the boundary, the linear approximation of the wind energy conversion efficiency coefficient does not bring errors to the original power equation constraint, at most only one wind turbine whose rotational speed is not on the boundary brings errors to the original power equation constraint. Therefore, only the rotational speed of this wind turbine needs to be adjusted to make the original power equation constraint hold.

[0063]

[0064] Since only the rotational speed of this wind turbine needs to be adjusted, it is a single variable equation, which can be solved by using existing mathematical methods. According to the existing algorithm and computing power level, the solving time of this single variable equation is extremely short.

[0065] In some optional implementations, determining the power reference values of the wind turbines in the wind farm based on the adjusted rotational speed includes: substituting the rotational 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; and setting the power reference values of the wind turbines in the low wind speed zone and the high wind speed zone as the maximum output power. Since the wind turbines in the low wind speed zone and the high wind speed zone do not participate in the overspeed load shedding, the power reference values of these wind turbines are the maximum output power . Substituting the rotational speed optimization result in the medium wind speed zone into the power expression can obtain the power reference value of the wind turbine in the medium wind speed zone:

[0066]

[0067] The obtained power reference values can be used as power commands and issued to the wind turbines.

[0068] In order to verify the application effect of the above implementation, a system model composed of a wind farm, a thermal power plant and a load is built as shown in Figure 2 . The wind farm includes 30 doubly-fed wind turbines (typical wind turbines) with a rated capacity of 5 MW, the thermal power plant includes 5 thermal turbines with a rated capacity of 60 MW, and the total load is 300 MW. Among them, the inertia time constant of 3 doubly-fed wind turbines is 7s, the inertia time constant of the thermal turbine is 10s, and the power frequency static characteristic coefficient of the thermal turbine is 20; the load and are both 150MW, and the frequency regulation effect coefficient of the load is 3. The wind speed distribution of the 30 wind turbines is shown in Figure 3 . There are corresponding wind turbines in each wind speed zone operating in the wind farm. The total load shedding power of the wind farm is set to 6% of the operating power.

[0069] With reference to the calculation results of the three power distribution methods in Table 1, the method provided by the above-mentioned implementation manner of the application is compared with the particle swarm optimization algorithm for solving the original rotor speed optimization problem and the traditional method, i.e., all wind turbines in the wind farm are reduced according to the same reduction rate, and the overspeed control is preferentially performed, and when the overspeed control cannot meet the reduction requirement, the reduction is further implemented through the variable pitch angle control.

[0070]

[0071] Compared with the particle swarm method, the total rotor kinetic energy of the wind farm obtained by the method of the application is slightly smaller than that obtained by the particle swarm method. This is because the constraint condition in the original optimization problem is linearly approximated in the method of the application, and the optimization effect of the objective function is slightly deteriorated, but the deterioration degree is very small, only 2.23% in the current example. However, it is worth noting that the calculation time of the optimization problem is significantly reduced by the method of the application, and the time scale is reduced from the min level to the hundred ms level under the same computing power, which makes the method more easily applied online in the wind farm.

[0072] Compared with the traditional method, the calculation time of both is in the hundred ms level, but the total rotor kinetic energy of the wind farm obtained by the method of the application is much higher than that obtained by the traditional method, and the transient frequency support capability will be significantly better than that of the traditional method.

[0073] The power distribution device for overspeed reduction of the wind farm provided by the application is described below, and the power distribution device for overspeed reduction of the wind farm described below can be correspondingly referred to the power distribution method for overspeed reduction of the wind farm described above.

[0074] Figure 4 The structure diagram of the power distribution device for overspeed reduction of the wind farm provided by the embodiment of the application is shown in Figure 4 The structure diagram of the power distribution device for overspeed reduction of the wind farm provided by the embodiment of the application is shown in The acquisition module 401 is configured to acquire the structural parameters of the wind turbines in the wind farm, the wind speed information and the operation reduction rate requirement of the wind farm; the optimization module 402 is configured to, based on the acquired data, take the rotor speed of the wind turbines in the wind farm as the optimization variable, and construct 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 operation reduction rate requirement; the adjustment module 403 is 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 the determination module 404 is configured to determine the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed.

[0075] In some optional implementation manners, the optimization module 402 is further configured to: calculate the optimal rotor speed and the maximum output power of each wind turbine based on the structural parameters and the 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 the maximum output power of each wind turbine, divide the wind turbines capable of performing maximum power point tracking into the medium-wind-speed-zone wind turbines, divide the wind turbines with higher wind speed into the high-wind-speed-zone wind turbines, and divide the wind turbines with lower wind speed into the low-wind-speed-zone wind turbines, wherein the low-wind-speed-zone wind turbines and the high-wind-speed-zone wind turbines do not participate in the overspeed trip, and the objective function of the quadratic programming problem includes maximizing the sum of the rotor kinetic energy of the medium-wind-speed-zone wind turbines.

[0076] In some optional implementation manners, the optimization module 402 is further configured to: construct a rotor speed inequality constraint, wherein the lower limit of the rotor speed of the medium-wind-speed-zone wind turbine in the rotor speed inequality constraint is the optimal rotor speed, and the upper limit is the upper limit value of the rotor speed; construct a power equality constraint based on the operation trip rate requirement, wherein the power equality constraint includes that the sum of the total power of the wind turbines in the wind farm meets the operation trip rate requirement, and the total power of the wind turbines in the wind farm includes the low-wind-speed-zone wind turbine power, the medium-wind-speed-zone wind turbine power and the high-wind-speed-zone wind turbine power.

[0077] In some optional implementation manners, the medium-wind-speed-zone wind turbine power is determined by the following steps: taking the line connecting the two points on the feasible region boundary of the optimization problem defined by the rotor speed inequality constraint as a linear approximation relationship of the wind energy conversion efficiency coefficient and the rotor speed; calculating the wind energy conversion efficiency coefficient of the medium-wind-speed-zone wind turbine at the actual rotor speed according to the linear approximation relationship; and determining the power output of the medium-wind-speed-zone wind turbine by using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters and the wind speed information of the medium-wind-speed-zone wind turbine.

[0078] In some optional implementation manners, at most one rotor speed of the wind turbines in the optimization result is not on the boundary of the rotor speed constraint; and the adjustment module 403 is further configured to: adjust the rotor speed of the at most one wind turbine.

[0079] In some optional implementation manners, the determination module 404 is further configured to: substitute the rotor speed optimization result of the medium-wind-speed-zone wind turbine into the power expression to obtain the power reference value of the medium-wind-speed-zone wind turbine; and set the power reference values of the low-wind-speed-zone wind turbine and the high-wind-speed-zone wind turbine as the maximum output power.

[0080] The power distribution device for the overspeed trip of the wind farm provided by the application has the advantages that the rotor speed of the wind turbine in the wind farm is taken as an optimization variable, a quadratic programming problem is constructed and solved, the total power of the wind turbines in the wind farm meets the operation trip rate requirement, and the power distribution efficiency of the overspeed trip of the wind farm is improved.

[0081] Figure 5 An example of an entity structure diagram of an electronic device is shown in FIG. 1. Figure 5As shown, the electronic device can include a processor 510, a communications interface 520, a memory 530, and a communications bus 540, wherein the processor 510, the communications interface 520, and the memory 530 complete mutual communication through the communications bus 540. The processor 510 can invoke a logical instruction in the memory 530 to execute a power distribution method of wind farm overspeed tripping, which includes: obtaining structural parameters of each wind turbine in the wind farm, wind speed information, and operation tripping rate requirements of the wind farm; based on the obtained data, taking rotor speeds of the wind turbines in the wind farm as optimization variables, constructing a quadratic programming problem, and the constraints of the quadratic programming problem include that total power of the wind turbines in the wind farm satisfies the operation tripping rate requirements; based on an optimization result of the quadratic programming problem, adjusting the rotor speeds of the wind turbines in the wind farm; and determining power reference values of each wind turbine in the wind farm based on the adjusted rotor speeds.

[0082] In addition, the logical instruction in the memory 530 described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or parts of the present application that essentially contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0083] On the other hand, the present application 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, and the computer program is executed by a processor, and the computer can execute the power distribution method of wind farm overspeed tripping provided by the above-mentioned methods, which includes: obtaining structural parameters of each wind turbine in the wind farm, wind speed information, and operation tripping rate requirements of the wind farm; based on the obtained data, taking rotor speeds of the wind turbines in the wind farm as optimization variables, constructing a quadratic programming problem, and the constraints of the quadratic programming problem include that total power of the wind turbines in the wind farm satisfies the operation tripping rate requirements; based on an optimization result of the quadratic programming problem, adjusting the rotor speeds of the wind turbines in the wind farm; and determining power reference values of each wind turbine in the wind farm based on the adjusted rotor speeds.

[0084] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the power distribution method for overspeed tripping of a wind farm provided by the above method, and the method comprises: obtaining structural parameters of each wind turbine in the wind farm, wind speed information, and operation tripping rate requirements of the wind farm; based on the obtained data, taking rotor speeds of the wind turbines in the wind farm as optimization variables, constructing a quadratic programming problem, and the constraints of the quadratic programming problem include that the total power of the wind turbines in the wind farm meets the operation tripping rate requirements; based on the optimization result of the quadratic programming problem, adjusting the rotor speeds of the wind turbines in the wind farm; and determining power reference values of each wind turbine in the wind farm based on the adjusted rotor speeds.

[0085] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0086] From the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software and necessary general hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, server, or network device, etc.) execute the methods described in each embodiment or some parts of the embodiment.

[0087] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A power distribution method for overspeed load shedding in a wind farm, characterized in that, include: Obtain the structural parameters, wind speed information, and operating load reduction rate requirements of each wind turbine in the wind farm; Based on the acquired data, the rotor speed of the wind turbines in the wind farm is used as the optimization variable to construct 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 requirement and that the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality requirement. Based on the optimization results of the quadratic programming problem, the rotor speed of the wind turbines in the wind farm is adjusted. The power reference value of each wind turbine in the wind farm is determined based on the adjusted rotor speed; 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: The optimal rotor speed and maximum output power of each wind turbine in the wind farm are calculated based on the structural parameters and wind speed information of each wind turbine. 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 into medium wind speed zone wind turbines, wind turbines with higher wind speeds are divided into high wind speed zone wind turbines, and 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 stored kinetic energy of the medium wind speed zone wind turbines. 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: Construct a rotational speed inequality constraint, in which the lower bound of the rotor speed of the wind turbine in the medium wind speed zone is the optimal rotor speed, and the upper bound is the upper limit of the rotor speed. Based on the operating load reduction rate requirement, a power equality constraint is constructed. The power equality constraint includes the requirement that the sum of the total power of the wind turbines in the wind farm meets the operating load reduction rate requirement. The total power of the wind turbines in the wind farm includes the power of the wind turbines in the low wind speed area, the power of the wind turbines in the medium wind speed area, and the power of the wind turbines in the high wind speed area. The power output of the wind turbine in the medium wind speed zone is determined through the following steps: The line connecting the two points on the boundary of the feasible region of the optimization problem defined by the speed inequality constraint is taken 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 relationship. By using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters of wind turbines in the medium wind speed zone, and wind speed information, the power output of wind turbines in the medium wind speed zone is determined.

2. The power distribution method for overspeed load reduction in wind farms according to claim 1, characterized in that, In the optimization results, the rotor speed of at most one wind turbine is not on the boundary of the speed constraint; the adjustment of the rotor speed of the wind turbines in the wind farm based on the optimization results of the quadratic programming problem includes adjusting the rotor speed of at most one wind turbine.

3. The power distribution method for overspeed load reduction in wind farms according to claim 1, characterized in that, The determination of the power reference value for each wind turbine in the wind farm based on the adjusted rotor speed includes: Substituting the rotor speed optimization results in the medium wind speed zone into the power expression, we obtain the power reference value of the wind turbine in the medium wind speed zone; The power reference values ​​for the low-wind-speed zone fan and the high-wind-speed zone fan are set as the maximum output power.

4. A power distribution device for overspeed load reduction in wind farms, characterized in that, include: The acquisition module is configured to acquire the structural parameters, wind speed information, and operating load reduction rate requirements of each wind turbine in the wind farm. The optimization module is configured to construct a quadratic programming problem based on the acquired data, using the rotor speed of the wind turbines in the wind farm as the optimization variable. 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 that the rotor speed of the wind turbines in the wind farm meets the rotor speed inequality requirement. The adjustment module is configured to adjust the rotor speed of the wind turbines in the wind farm based on the optimization results of the quadratic programming problem. The determination module is configured to determine the power reference value of each wind turbine in the wind farm based on the adjusted rotor speed; 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: The optimal rotor speed and maximum output power of each wind turbine in the wind farm are calculated based on the structural parameters and wind speed information of each wind turbine. 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 into medium wind speed zone wind turbines, wind turbines with higher wind speeds are divided into high wind speed zone wind turbines, and 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 stored kinetic energy of the medium wind speed zone wind turbines. 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: Construct a rotational speed inequality constraint, in which the lower bound of the rotor speed of the wind turbine in the medium wind speed zone is the optimal rotor speed, and the upper bound is the upper limit of the rotor speed. Based on the operating load reduction rate requirement, a power equality constraint is constructed. The power equality constraint includes the requirement that the sum of the total power of the wind turbines in the wind farm meets the operating load reduction rate requirement. The total power of the wind turbines in the wind farm includes the power of the wind turbines in the low wind speed area, the power of the wind turbines in the medium wind speed area, and the power of the wind turbines in the high wind speed area. The power output of the wind turbine in the medium wind speed zone is determined through the following steps: The line connecting the two points on the boundary of the feasible region of the optimization problem defined by the speed inequality constraint is taken 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 relationship. By using the calculated wind energy conversion efficiency coefficient, the obtained structural parameters of wind turbines in the medium wind speed zone, and wind speed information, the power output of wind turbines in the medium wind speed zone is determined.

5. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the power distribution method for overspeed load reduction in wind farms as described in any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the power distribution method for overspeed load reduction in wind farms as described in any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the power distribution method for overspeed load reduction in wind farms as described in any one of claims 1 to 3.

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