A wind turbine operation control method, device, equipment and storage medium

Abstract

The application discloses a wind power generator operation control method, device and equipment and a storage medium, relates to the technical field of wind power generation, and comprises the following steps: calculating the initial power generation performance of a wind power generator based on a fan power generation power corresponding to a default optimal torque gain coefficient given value and determining the initial power generation performance as current optimal power generation performance; determining the optimal torque gain coefficient given value of the wind power generator in different time periods; determining the current power generation performance of the wind power generator in the preset operation duration; updating the current optimal power generation performance according to a preset power generation performance updating rule and the current power generation performance to obtain target optimal power generation performance; and obtaining operation power generation time parameter information of the wind power generator corresponding to the target optimal power generation performance and performing operation control on the wind power generator based on the operation power generation time parameter information. In this way, the power generation performance of a wind power plant can be improved at a control cost.

Description

Technical Field

[0001] This invention relates to the field of wind power generation technology, and in particular to a wind turbine operation control method, device, equipment and storage medium. Background Technology

[0002] To achieve optimal output power, variable-speed, variable-pitch wind turbines often employ optimal torque control strategies when operating below rated wind speeds. (Wind turbine power) ρ is air density, R is impeller diameter, v is wind speed, and C is air density. p Let C be the wind energy utilization coefficient. To achieve the maximum wind energy utilization coefficient C... p(max) It is necessary to maintain the optimal tip speed ratio during operation. opt Wind speed can be expressed as the angular velocity ω of the wind turbine. r(opt) and the optimal tip speed ratio λ opt The relation, that is Finally, the power generation torque setpoint T can be obtained. g With the optimal generator speed ω g(opt) Relationship, T g =K opt ω g(opt) 2 That is, given a constant air density ρ, the optimal torque gain coefficient K opt As long as the generator torque setpoint T is constant, it is sufficient to... g According to the optimal generator speed ω g(opt) The maximum power output can be determined by the square of the factor.

[0003] Currently, the widely used optimal torque control strategy for wind turbines mainly determines the optimal torque gain coefficient based on the annual average air density of the wind farm. However, when the air density changes, assuming the optimal torque gain coefficient K... opt Maintaining the original constant value would prevent the wind turbine from achieving its maximum wind energy utilization coefficient, resulting in a loss of power generation. A popular current method is to install barometric pressure measuring instruments to obtain real-time air density, allowing the optimal torque gain coefficient to be adjusted accordingly. However, extending this method to wind farms increases economic costs, and frequent changes to the optimal torque gain coefficient are detrimental to the stable operation of the wind turbine units.

[0004] In summary, optimizing the power generation performance of wind farms while controlling costs and ensuring stable operation of wind turbines is a technical research problem that wind power engineers need to solve. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a wind turbine operation control method, apparatus, equipment, and storage medium, which can improve the power generation performance of wind farms while controlling costs. The specific solution is as follows:

[0006] In a first aspect, this application discloses a wind turbine operation control method, including:

[0007] The initial power generation performance of the wind turbine is calculated based on the wind turbine power generation corresponding to the default optimal torque gain coefficient, and the initial power generation performance is determined as the current optimal power generation performance.

[0008] The optimal torque gain coefficient of the wind turbine is determined by a preset optimal torque gain coefficient change rule for different time periods; wherein the sum of the time lengths of each time period is the same as the preset running time.

[0009] The current power generation performance of the wind turbine within the preset operating time is determined based on the given values ​​of the optimal torque gain coefficients.

[0010] The current optimal power generation performance is updated according to the preset power generation performance update rules and the current power generation performance to obtain the target optimal power generation performance;

[0011] Obtain the operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance, and perform operation control of the wind turbine based on the operating power generation time parameter information.

[0012] Optionally, determining the optimal torque gain coefficient setpoint for the wind turbine in different time periods by pre-setting an optimal torque gain coefficient variation rule includes:

[0013] Select the unselected time window length from the preset time window length sequence as the time length corresponding to the current time period;

[0014] The start time of the first time period is determined, and based on the start time of the first time period and the time length corresponding to the current time period, each current time period is determined; wherein the sum of the time lengths of each current time period is the same as the preset running time.

[0015] At the beginning of any current time period, obtain all the optimal torque gain coefficient values ​​of the wind turbine in the previous adjacent time period, and calculate the average value of all the optimal torque gain coefficient values ​​to obtain the optimal torque gain coefficient given value for any time period.

[0016] Optionally, determining the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of each of the optimal torque gain coefficients includes:

[0017] Based on the given values ​​of the optimal torque gain coefficients, corresponding wind turbine power curves are generated for the wind turbine power generation.

[0018] Based on the wind turbine power curve, the current power generation performance of the wind turbine within the preset operating time is determined.

[0019] Optionally, updating the current optimal power generation performance according to a preset power generation performance update rule and the current power generation performance to obtain the target optimal power generation performance includes:

[0020] Determine whether the current power generation performance is greater than the current optimal power generation performance;

[0021] If the current power generation performance is greater than the current optimal power generation performance, then the current optimal power generation performance is updated to the current power generation performance, and then the operating power generation time parameter information corresponding to the updated current optimal power generation performance is updated and stored in a preset storage location; the operating power generation time parameter information includes the corresponding time period and the start time of the first time period;

[0022] If the current power generation performance is less than or equal to the current optimal power generation performance, then the current optimal power generation performance and the corresponding operating power generation time parameter information remain unchanged.

[0023] Optionally, after updating the optimal power generation performance according to the preset power generation performance update rule and the current power generation performance, the method further includes:

[0024] Determine whether the preset time change conditions are met;

[0025] If the preset time change condition is met, the start time of the first time period is changed, and the process jumps back to the step based on the current start time of the first time period and the time length corresponding to the current time period.

[0026] If the preset time change condition is not met, then determine whether there is an unselected time window length in the preset time window length sequence;

[0027] If it exists, then proceed to the step of filtering out the unselected time window lengths from the preset time window length sequence as the time length corresponding to the current time period;

[0028] If it does not exist, then the current optimal power generation performance obtained is determined as the target optimal power generation performance.

[0029] Optionally, determining whether the preset time change condition is met includes:

[0030] Determine whether the number of changes to the start time of the first time period meets the preset time change rules. If so, determine that the current time meets the preset time change conditions.

[0031] Optionally, the method further includes:

[0032] Determine the real-time air pressure around the wind turbine;

[0033] Calculate the corresponding real-time air density value based on the air pressure value;

[0034] Based on the air density value, the annual average air density value of the wind farm, and the default optimal torque gain coefficient given value, all optimal torque gain coefficient values ​​of the wind turbine are determined for each time period.

[0035] Secondly, this application discloses a wind turbine operation control device, comprising:

[0036] The initial performance determination module is used to calculate the initial power generation performance of the wind turbine based on the wind turbine power generation corresponding to the default optimal torque gain coefficient, and determine the initial power generation performance as the current optimal power generation performance.

[0037] The given value determination module is used to determine the optimal torque gain coefficient given value of the wind turbine in different time periods by means of a preset optimal torque gain coefficient change rule; wherein the sum of the time lengths of the current time periods is the same as the preset running time.

[0038] The current performance determination module is used to determine the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of the optimal torque gain coefficients.

[0039] The performance update module is used to update the current optimal power generation performance according to the preset power generation performance update rules and the current power generation performance to obtain the target optimal power generation performance;

[0040] The time parameter acquisition module is used to acquire the operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance, and to perform operation control of the wind turbine based on the operating power generation time parameter information.

[0041] Thirdly, this application discloses an electronic device, including:

[0042] Memory, used to store computer programs;

[0043] A processor is used to execute the computer program to implement the aforementioned wind turbine operation control method.

[0044] Fourthly, this application discloses a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the aforementioned wind turbine operation control method.

[0045] As can be seen, in this application, the initial power generation performance of the wind turbine is first calculated based on the wind turbine power generation corresponding to the default optimal torque gain coefficient setpoint, and the initial power generation performance is determined as the current optimal power generation performance. The optimal torque gain coefficient setpoint for the wind turbine in different time periods is determined by a preset optimal torque gain coefficient change rule; wherein the sum of the time lengths of each time period is the same as the preset running time. The current power generation performance of the wind turbine within the preset running time is determined according to each optimal torque gain coefficient setpoint. The current optimal power generation performance is updated according to the preset power generation performance update rule and the current power generation performance to obtain the target optimal power generation performance. The operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance is obtained, and the wind turbine is operated and controlled based on the operating power generation time parameter information. The current optimal power generation performance is updated accordingly based on the current power generation performance determined by the optimal torque gain coefficient setpoint for different time periods within the preset running time to obtain the target optimal power generation performance. The optimal time adjustment scheme for the optimal torque gain coefficient setpoint is found based on the time parameter information corresponding to the target optimal power generation performance to control the wind turbine operation. This allows for improved power generation performance of wind farms while controlling costs. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0047] Figure 1 This is a flowchart of a wind turbine operation control method disclosed in this application;

[0048] Figure 2 This application discloses a specific flowchart of a wind turbine operation control method.

[0049] Figure 3 This application discloses a specific flowchart of a wind turbine operation control method.

[0050] Figure 4 This is a schematic diagram of the structure of a wind turbine operation control device disclosed in this application;

[0051] Figure 5 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0052] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0053] A popular current method involves installing barometric pressure measuring instruments to obtain real-time air density, allowing the optimal torque gain coefficient to change in real time. However, applying this method to wind farms increases economic costs, and frequent changes to the optimal torque gain coefficient are detrimental to the stable operation of wind turbines. This invention will specifically introduce a method that analyzes changes in wind turbine performance to find the time parameter of the optimal torque gain coefficient corresponding to maximum power generation performance, and then controls the operation of the wind turbine. This approach can improve the power generation performance of wind farms while controlling costs.

[0054] See Figure 1 As shown in the figure, this application discloses a wind turbine operation control method, including:

[0055] Step S11: Calculate the initial power generation performance of the wind turbine based on the wind turbine power generation corresponding to the default optimal torque gain coefficient, and determine the initial power generation performance as the current optimal power generation performance.

[0056] In this embodiment, since the wind turbine power generation is determined by the optimal torque gain coefficient, the wind turbine power generation corresponding to the default optimal torque gain coefficient can be obtained. Based on the wind turbine power generation, the initial power generation performance of the wind turbine is calculated, and then the initial power generation performance is determined as the current optimal power generation performance.

[0057] Step S12: Determine the optimal torque gain coefficient setpoint for the wind turbine in different time periods by using the preset optimal torque gain coefficient change rule; wherein, the sum of the time lengths of each time period is the same as the preset running time.

[0058] In this embodiment, the optimal torque gain coefficient setpoint for the wind turbine in different time periods within a preset operating time is determined by a preset optimal torque gain coefficient change rule. Specifically, the preset optimal torque gain coefficient change rule involves obtaining all optimal torque gain coefficient values ​​of the wind turbine in the previous adjacent time period at the beginning of the current time period, and calculating the average of all optimal torque gain coefficient values ​​to obtain the optimal torque gain coefficient setpoint for any given time period.

[0059] Step S13: Determine the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of the optimal torque gain coefficients.

[0060] In this embodiment, since the optimal torque gain coefficient setpoint determines the wind turbine power generation of the wind turbine, the current power generation performance of the wind turbine within the preset operating time can be determined according to each of the optimal torque gain coefficient setpoints.

[0061] Step S14: Update the current optimal power generation performance according to the preset power generation performance update rules and the current power generation performance to obtain the target optimal power generation performance.

[0062] In this embodiment, the current power generation performance is compared with the current optimal power generation performance. If the current power generation performance is greater than the current optimal power generation performance, then the current power generation performance is taken as the current optimal power generation performance, thus updating the current optimal power generation performance. The preset power generation performance update rule is that after each preset running period, the current power generation performance is compared with the current optimal power generation performance to update the current optimal power generation performance until a target optimal power generation performance is obtained. The target optimal power generation performance is obtained after running for a certain number of preset running periods.

[0063] Step S15: Obtain the operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance, and perform operation control of the wind turbine based on the operating power generation time parameter information.

[0064] In this embodiment, the operating time parameter information of the wind turbine corresponding to the target optimal power generation performance is obtained, namely, the time variation law parameter of the optimal torque gain coefficient of the wind turbine. Then, based on the operating time parameter information, the change of the setpoint value of the optimal torque gain coefficient is controlled to perform operation control of the wind turbine. In this way, the power generation performance of the wind farm can be improved while controlling costs.

[0065] As can be seen, in this embodiment, the initial power generation performance of the wind turbine is first calculated based on the wind turbine power generation corresponding to the default optimal torque gain coefficient setpoint, and the initial power generation performance is determined as the current optimal power generation performance. The optimal torque gain coefficient setpoint for the wind turbine in different time periods is determined by a preset optimal torque gain coefficient change rule; wherein the sum of the time lengths of each time period is the same as the preset running time. The current power generation performance of the wind turbine within the preset running time is determined according to each optimal torque gain coefficient setpoint. The current optimal power generation performance is updated according to the preset power generation performance update rule and the current power generation performance to obtain the target optimal power generation performance. The operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance is obtained, and the wind turbine is operated and controlled based on the operating power generation time parameter information. The current optimal power generation performance is updated accordingly based on the current power generation performance determined by the optimal torque gain coefficient setpoint for different time periods within the preset running time to obtain the target optimal power generation performance. The optimal time adjustment scheme for the optimal torque gain coefficient setpoint is found based on the time parameter information corresponding to the target optimal power generation performance to control the wind turbine operation. This allows for improved power generation performance of wind farms while controlling costs.

[0066] The above embodiments specifically describe a method for analyzing wind turbine performance changes to find the optimal torque gain coefficient variation time parameter corresponding to maximum power generation performance, and then controlling the wind turbine operation. This method can improve the power generation performance of wind farms while controlling costs. This embodiment will specifically describe the method for obtaining the target optimal power generation performance based on a preset optimal torque gain coefficient variation rule.

[0067] See Figure 2 As shown in the figure, this application discloses a specific wind turbine operation control method, including:

[0068] Step S21: Select the unselected time window length from the preset time window length sequence as the time length corresponding to the current time period.

[0069] In this embodiment, time window lengths that have not been selected before are filtered from a preset time window length sequence as the time length corresponding to the current time period. The time window lengths in the preset time window length sequence are factors of 24, namely 1, 2, 3, 4, 6, 8, and 12. The unit of time window length is hours.

[0070] Step S22: Determine the start time of the first time period, and based on the start time of the first time period and the time length corresponding to the current time period, determine each current time period.

[0071] In this embodiment, after determining the time length corresponding to the time period, the start time of the first time period is determined based on the time length. The start time of the first time period is an integer point, such as 0:00, 1:00, etc., and the start time of the first time period is determined by the time length corresponding to the time period. The time sequence generated by the integer points of the start time of the first time period is [0:00, 1:00, 2:00, ..., (A-1) hours], where A is the numerical value corresponding to the time length of the time period. For example, if the time length corresponding to the time period is 3 hours, then the start time of the first time period can be 0:00, 1:00, or 2:00. Determining the start time of the first time period based on the time length means selecting an unselected time from the time sequence generated based on the time length as the current start time of the first time period. Then, based on the current start time of the first time period and the time length corresponding to the current time period, the current time periods are determined, and the sum of the time lengths of the current time periods is the same as the preset running time.

[0072] Step S23: At the beginning of any current time period, obtain all the optimal torque gain coefficient values ​​of the wind turbine in the previous adjacent time period, and calculate the average value of all the optimal torque gain coefficient values ​​to obtain the optimal torque gain coefficient given value for any time period.

[0073] In this embodiment, obtaining the optimal torque gain coefficient value includes: determining the real-time air pressure value around the wind turbine; calculating the corresponding real-time air density value based on the air pressure value; and determining all optimal torque gain coefficient values ​​of the wind turbine in each time period based on the real-time air density value, the annual average air density value of the wind farm, and the default optimal torque gain coefficient given value. If the wind turbine is equipped with an air pressure measuring instrument, the real-time air pressure value around the wind turbine can be directly measured using the air pressure measuring instrument. If the wind turbine is not equipped with the air pressure measuring instrument, the real-time air pressure value around the wind turbine needs to be determined based on the hub altitude of the nearest wind turbine equipped with the air pressure measuring instrument and the linear function relationship between the wind farm air pressure change ΔP and the altitude change ΔH, i.e., ΔP=kΔH+b, where k is the slope and b is the intercept. The process of generating the linear function relationship between the hub altitude and the wind farm pressure change ΔP with respect to the altitude change ΔH involves first obtaining the values ​​of q (q≥2) wind turbines {f1, f2, ..., f} equipped with pressure measuring instruments. q The altitude of {h1, h2, ..., h} q}, hub height {g1, g2, ..., g q}, calculate the wheel hub elevation {H1, H2, ..., H} q}, where the hub altitude H = wind turbine altitude h + hub height g. Then, obtain the air pressure measurements of q wind turbines at several moments, calculate their average value, and then, based on the hub altitude {H1, H2, ..., H} of q wind turbines. q Average air pressure The changes in hub altitude and air pressure between each pair of groups q-1 are calculated based on altitude from high to low. Based on these changes in hub altitude and air pressure, a linear function relationship is generated for the wind farm air pressure change ΔP with respect to the altitude change ΔH: ΔP = kΔH + b. This is done using the relationship between air density ρ and air pressure P and temperature T. R * Given a gas constant of 287 J / kg·K, calculate the real-time air density ρ′ of the wind turbine. Obtain the annual average air density ρ0 of the wind farm and the default optimal torque gain coefficient setting value K. opt Calculate the optimal torque gain coefficient In this embodiment, at the beginning of any current time period, all optimal torque gain coefficient values ​​of the wind turbine generator in the previous adjacent time period are obtained, and then the average value of all the optimal torque gain coefficient values ​​is calculated to obtain the optimal torque gain coefficient given value for any time period.

[0074] Step S24: Determine the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of the optimal torque gain coefficients and update the current optimal power generation performance.

[0075] Step S25: Determine whether the number of changes to the start time of the first time period meets the preset time change rules. If so, determine that the current preset time change conditions are met.

[0076] In this embodiment, it is determined whether the number of changes to the start time of the first time period meets the preset time change rules, that is, whether there are still unselected times in the time sequence. If there are, it is determined that the current preset time change conditions are met.

[0077] Step S26: If the preset time change condition is met, the start time of the first time period is changed, and the process jumps back to the step based on the current start time of the first time period and the time length corresponding to the current time period.

[0078] In this embodiment, if the preset time change condition is met, an unselected time is selected from the time sequence as the start time of the first time period, and the process jumps back to the step based on the current start time of the first time period and the time length corresponding to the current time period.

[0079] Step S27: If the preset time change condition is not met, determine whether there is an unselected time window length in the preset time window length sequence.

[0080] In this embodiment, if the preset time change condition is not met, that is, there is no unselected time in the time sequence, the time window length needs to be changed. Before changing the time window length, it is necessary to determine whether there is an unselected time window length in the preset time window length sequence.

[0081] Step S28: If it exists, then proceed to the step of filtering out the unselected time window lengths from the preset time window length sequence as the time length corresponding to the current time period.

[0082] In this embodiment, if there is an unselected time window length in the preset time window length sequence, the process jumps to the step of filtering the unselected time window length from the preset time window length sequence as the time length corresponding to the current time period.

[0083] Step S29: If it does not exist, then the currently obtained optimal power generation performance is determined as the target optimal power generation performance.

[0084] In this embodiment, if the wind turbine has already run for all cycle lengths and all first time cycle start times, then the current optimal power generation performance is the case where the power generation performance is the highest under all circumstances, and the current optimal power generation performance can be determined as the target optimal power generation performance.

[0085] The specific process of step S24 can be found in the relevant content disclosed in the foregoing embodiments, and will not be repeated here.

[0086] As can be seen, in this embodiment, the power generation performance of the wind turbine is compared sequentially at the start time of the first time period with a preset running time under different time period lengths by using a method similar to exhaustive search, so as to obtain the target optimal power generation performance.

[0087] The above embodiments provide a detailed description of the method for obtaining the target optimal power generation performance based on a preset optimal torque gain coefficient variation rule. This embodiment will provide a detailed description of the steps for updating the performance of wind turbine generators.

[0088] See Figure 3 As shown in the figure, this application discloses a specific wind turbine operation control method, including:

[0089] Step S31: Generate the corresponding wind turbine power curve based on the wind turbine power generation corresponding to each optimal torque gain coefficient given value.

[0090] In this embodiment, since the wind turbine's power generation is determined by the optimal torque gain coefficient, the power generation corresponding to each optimal torque gain coefficient can be measured. Then, a corresponding wind turbine power curve is generated based on the measured power generation. The theoretical power generation is calculated based on the wind turbine power curve, where the wind speed ν in the power curve should be adjusted for air density.

[0091] Where ν0 is the actual measured wind speed, ρ' is the real-time air density of the wind turbine, and ρ0 is the annual average air density of the wind farm.

[0092] Step S32: Determine the current power generation performance of the wind turbine within the preset operating time based on the wind turbine power curve.

[0093] In this embodiment, after obtaining the wind turbine power curve, the current power generation performance of the wind turbine within a preset operating time can be determined based on the wind turbine power curve.

[0094] Step S33: Determine whether the current power generation performance is greater than the current optimal power generation performance.

[0095] Step S34: If the current power generation performance is greater than the current optimal power generation performance, then update the current optimal power generation performance to the current power generation performance, and then update and store the operating power generation time parameter information corresponding to the updated current optimal power generation performance in a preset storage location; the operating power generation time parameter information includes the corresponding time period and the start time of the first time period.

[0096] In this embodiment, if the current power generation performance is greater than the current optimal power generation performance, the current optimal power generation performance is updated to the current power generation performance. Then, the operating power generation time parameter information corresponding to the updated current optimal power generation performance is obtained, the old time parameter is deleted from the preset storage location, and then the operating power generation time parameter information is stored in the preset storage location. The operating power generation time parameter information includes the corresponding time period and the start time of the first time period.

[0097] Step S35: If the current power generation performance is less than or equal to the current optimal power generation performance, then keep the current optimal power generation performance and the corresponding operating power generation time parameter information unchanged.

[0098] In this embodiment, if the current power generation performance is less than or equal to the current optimal power generation performance, there is no need to update the current optimal power generation performance accordingly, and the current optimal power generation performance and the corresponding operating power generation time parameter information can remain unchanged.

[0099] As can be seen, in this embodiment, firstly, a corresponding wind turbine power curve is generated based on the wind turbine power generation corresponding to each optimal torque gain coefficient setpoint; based on the wind turbine power curve, the current power generation performance of the wind turbine within a preset operating time is determined; it is then determined whether the current power generation performance is greater than the current optimal power generation performance; if the current power generation performance is greater than the current optimal power generation performance, the current optimal power generation performance is updated to the current power generation performance, and then the operating power generation time parameter information corresponding to the updated current optimal power generation performance is updated and stored in a preset storage location; the operating power generation time parameter information includes the corresponding time period and the start time of the first time period; if the current power generation performance is less than or equal to the current optimal power generation performance, the current optimal power generation performance and the corresponding operating power generation time parameter information are kept unchanged. In this way, the power generation performance can be updated accordingly so that after running for several preset operating times, the target optimal power generation performance can be obtained, and the wind turbine can be controlled based on the corresponding operating power generation time parameter information of the wind turbine, thereby improving the performance of the wind turbine.

[0100] refer to Figure 4 As shown in the figure, this application also discloses a wind turbine operation control device, including:

[0101] The initial performance determination module 11 is used to calculate the initial power generation performance of the wind turbine generator based on the wind turbine power generation power corresponding to the default optimal torque gain coefficient given value, and determine the initial power generation performance as the current optimal power generation performance.

[0102] The given value determination module 12 is used to determine the optimal torque gain coefficient given value of the wind turbine generator in different time periods by means of a preset optimal torque gain coefficient change rule; wherein the sum of the time lengths of each time period is the same as the preset running time.

[0103] Current performance determination module 13 is used to determine the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of the optimal torque gain coefficients.

[0104] The performance update module 14 is used to update the current optimal power generation performance according to the preset power generation performance update rules and the current power generation performance to obtain the target optimal power generation performance;

[0105] The time parameter acquisition module 15 is used to acquire the operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance, and to perform operation control of the wind turbine based on the operating power generation time parameter information.

[0106] As can be seen, in this embodiment, the initial power generation performance of the wind turbine is first calculated based on the wind turbine power generation corresponding to the default optimal torque gain coefficient setpoint, and the initial power generation performance is determined as the current optimal power generation performance. The optimal torque gain coefficient setpoint for the wind turbine in different time periods is determined by a preset optimal torque gain coefficient change rule; wherein the sum of the time lengths of each time period is the same as the preset running time. The current power generation performance of the wind turbine within the preset running time is determined according to each optimal torque gain coefficient setpoint. The current optimal power generation performance is updated according to the preset power generation performance update rule and the current power generation performance to obtain the target optimal power generation performance. The operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance is obtained, and the wind turbine is operated and controlled based on the operating power generation time parameter information. The current optimal power generation performance is updated accordingly based on the current power generation performance determined by the optimal torque gain coefficient setpoint for different time periods within the preset running time to obtain the target optimal power generation performance. The optimal time adjustment scheme for the optimal torque gain coefficient setpoint is found based on the time parameter information corresponding to the target optimal power generation performance to control the wind turbine operation. This allows for improved power generation performance of wind farms while controlling costs.

[0107] In some specific embodiments, the given value determination module 12 may specifically include:

[0108] The time length determination unit is used to filter out the time window lengths that have not been selected from the preset time window length sequence as the time length corresponding to the current time period;

[0109] The period determination unit is used to determine the start time of the first time period and, based on the start time of the first time period and the time length corresponding to the current time period, determine each current time period; wherein, the sum of the time lengths of each current time period is the same as the preset running time.

[0110] The given value calculation unit is used to obtain all the optimal torque gain coefficient values ​​of the wind turbine in the previous adjacent time period at the beginning of any current time period, and calculate the average value of all the optimal torque gain coefficient values ​​to obtain the optimal torque gain coefficient given value for any time period.

[0111] In some specific embodiments, the current performance determination module 13 may specifically include:

[0112] The wind turbine power curve determination unit is used to generate corresponding wind turbine power curves based on the wind turbine power generation power corresponding to each of the given values ​​of the optimal torque gain coefficients.

[0113] The power generation performance acquisition unit is used to determine the current power generation performance of the wind turbine within the preset operating time based on the wind turbine power curve.

[0114] In some specific embodiments, the performance update module 14 may specifically include:

[0115] A performance judgment unit is used to determine whether the current power generation performance is greater than the current optimal power generation performance;

[0116] The parameter information storage unit is used to update the current optimal power generation performance to the current optimal power generation performance if the current power generation performance is greater than the current optimal power generation performance, and then update and store the operation power generation time parameter information corresponding to the updated current optimal power generation performance in a preset storage location; the operation power generation time parameter information includes the corresponding time period and the start time of the first time period;

[0117] The performance maintenance unit is used to maintain the current optimal power generation performance and the corresponding operating power generation time parameter information unchanged if the current power generation performance is less than or equal to the current optimal power generation performance.

[0118] In some specific embodiments, the wind turbine operation control device may further include:

[0119] The condition judgment module is used to determine whether the preset time change conditions are met.

[0120] The first step jump module is used to change the start time of the first time period if the preset time change condition is met, and then jump back to the step based on the current start time of the first time period and the time length corresponding to the current time period.

[0121] The window determination module is used to determine whether there is an unselected time window length in the preset time window length sequence if the preset time change condition is not currently met.

[0122] The second step jump module is used to jump to the step of filtering the unselected time window lengths from the preset time window length sequence as the time length corresponding to the current time period if it exists.

[0123] If the performance determination module does not exist, the currently obtained optimal power generation performance will be determined as the target optimal power generation performance.

[0124] In some specific embodiments, the condition judgment module can be used to determine whether the number of changes to the start time of the first time period meets the preset time change rule. If so, it is determined that the preset time change condition is met.

[0125] In some specific embodiments, the wind turbine operation control device may further include:

[0126] The air pressure value determination module is used to determine the real-time air pressure value around the wind turbine.

[0127] A density value determination module is used to calculate the corresponding real-time air density value based on the air pressure value;

[0128] The optimal torque gain coefficient determination module is used to determine all optimal torque gain coefficient values ​​of the wind turbine in each time period based on the air density value, the annual average air density value of the wind farm, and the default optimal torque gain coefficient given value.

[0129] Furthermore, embodiments of this application also disclose an electronic device, Figure 5 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0130] Figure 5 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the wind turbine operation control method disclosed in any of the foregoing embodiments. Alternatively, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0131] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0132] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0133] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the wind turbine operation control method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs capable of performing other specific tasks.

[0134] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned wind turbine operation control method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0135] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0136] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0137] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0138] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0139] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for controlling the operation of a wind turbine generator, characterized in that, include: The initial power generation performance of the wind turbine is calculated based on the wind turbine power generation corresponding to the default optimal torque gain coefficient, and the initial power generation performance is determined as the current optimal power generation performance. The optimal torque gain coefficient of the wind turbine is determined by a preset optimal torque gain coefficient change rule for different time periods. The sum of the durations of all current time periods is the same as the preset running time. This determination includes: filtering unselected time window lengths from a preset time window length sequence as the duration corresponding to the current time period; determining the start time of the first current time period, and determining each current time period based on the start time and the duration corresponding to the current time period; the sum of the durations of all current time periods is the same as the preset running time; at the start time of any current time period, obtaining all optimal torque gain coefficient values ​​of the wind turbine in the previous adjacent time period, and calculating the average of all optimal torque gain coefficient values ​​to obtain the optimal torque gain coefficient of any given time period. The current power generation performance of the wind turbine within the preset operating time is determined based on the given values ​​of the optimal torque gain coefficients. The current optimal power generation performance is updated according to a preset power generation performance update rule and the current power generation performance to obtain a target optimal power generation performance; wherein, the step of updating the current optimal power generation performance according to the preset power generation performance update rule and the current power generation performance to obtain a target optimal power generation performance includes: determining whether the current power generation performance is greater than the current optimal power generation performance; if the current power generation performance is greater than the current optimal power generation performance, then updating the current optimal power generation performance to the current power generation performance, and then updating the operating power generation time parameter information corresponding to the updated current optimal power generation performance and storing it in a preset storage location; the operating power generation time parameter information includes the corresponding time period and the start time of the first time period; if the current power generation performance is less than or equal to the current optimal power generation performance, then keeping the current optimal power generation performance and the corresponding operating power generation time parameter information unchanged; Obtain the operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance, and perform operation control of the wind turbine based on the operating power generation time parameter information.

2. The wind turbine operation control method according to claim 1, characterized in that, The step of determining the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of the optimal torque gain coefficients includes: Based on the given values ​​of the optimal torque gain coefficients, corresponding wind turbine power curves are generated for the wind turbine power generation. Based on the wind turbine power curve, the current power generation performance of the wind turbine within the preset operating time is determined.

3. The wind turbine operation control method according to claim 1, characterized in that, After updating the optimal power generation performance according to the preset power generation performance update rules and the current power generation performance, the method further includes: Determine whether the preset time change conditions are met; If the preset time change condition is met, the start time of the first time period is changed, and the process jumps back to the step based on the current start time of the first time period and the time length corresponding to the current time period. If the preset time change condition is not met, then determine whether there is an unselected time window length in the preset time window length sequence; If it exists, then proceed to the step of filtering out the unselected time window lengths from the preset time window length sequence as the time length corresponding to the current time period; If it does not exist, then the current optimal power generation performance obtained is determined as the target optimal power generation performance.

4. The wind turbine operation control method according to claim 3, characterized in that, The determination of whether the preset time change condition is met includes: Determine whether the number of changes to the start time of the first time period meets the preset time change rules. If so, determine that the current time meets the preset time change conditions.

5. The wind turbine operation control method according to any one of claims 1 to 4, characterized in that, Also includes: Determine the real-time air pressure around the wind turbine; Calculate the corresponding real-time air density value based on the air pressure value; Based on the air density value, the annual average air density value of the wind farm, and the default optimal torque gain coefficient given value, all optimal torque gain coefficient values ​​of the wind turbine are determined for each time period.

6. A wind turbine generator operation control device, characterized in that, include: The initial performance determination module is used to calculate the initial power generation performance of the wind turbine based on the wind turbine power generation corresponding to the default optimal torque gain coefficient, and determine the initial power generation performance as the current optimal power generation performance. The given value determination module is used to determine the optimal torque gain coefficient given value of the wind turbine in different time periods by means of a preset optimal torque gain coefficient change rule; wherein the sum of the time lengths of the current time periods is the same as the preset running time; wherein determining the optimal torque gain coefficient given value of the wind turbine in different time periods by means of the preset optimal torque gain coefficient change rule includes: selecting the length of the time window that has not been selected from the preset time window length sequence as the time length corresponding to the current time period; determining the start time of the first time period of the current period, and determining each time period of the current period based on the start time of the first time period of the current period and the time length corresponding to the current time period; wherein the sum of the time lengths of the current time periods is the same as the preset running time; at the start time of any current time period, obtaining all the optimal torque gain coefficient values ​​of the wind turbine in the previous adjacent time period, and calculating the average value of all the optimal torque gain coefficient values ​​to obtain the optimal torque gain coefficient given value of the current time period; The current performance determination module is used to determine the current power generation performance of the wind turbine within the preset operating time based on the given values ​​of the optimal torque gain coefficients. A performance update module is used to update the current optimal power generation performance according to a preset power generation performance update rule and the current power generation performance to obtain a target optimal power generation performance. The step of updating the current optimal power generation performance according to the preset power generation performance update rule and the current power generation performance to obtain the target optimal power generation performance includes: determining whether the current power generation performance is greater than the current optimal power generation performance; if the current power generation performance is greater than the current optimal power generation performance, updating the current optimal power generation performance to the current power generation performance, and then updating and storing the corresponding operating power generation time parameter information of the updated current optimal power generation performance in a preset storage location; the operating power generation time parameter information includes the corresponding time period and the start time of the first time period; if the current power generation performance is less than or equal to the current optimal power generation performance, keeping the current optimal power generation performance and the corresponding operating power generation time parameter information unchanged. The time parameter acquisition module is used to acquire the operating power generation time parameter information of the wind turbine corresponding to the target optimal power generation performance, and to perform operation control of the wind turbine based on the operating power generation time parameter information.

7. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the wind turbine operation control method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, Used to store a computer program, which, when executed by a processor, implements the wind turbine operation control method as described in any one of claims 1 to 5.

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