Dead zone parameter determination method and device of wind generating set, equipment and medium

Abstract

The invention provides a dead zone parameter determination method and device of a wind generating set, equipment and a medium, and relates to the technical field of wind generating set control. According to the method, firstly, a predicted wind speed sequence, a wind speed dead zone representation function, a time dead zone representation function and an optimization objective function of a prediction time window are acquired; secondly, determining an index actual value of a wind speed characterization index based on the predicted wind speed sequence; then, on the basis of the actual index values, with the purpose of minimizing the power generation loss, determining the actual index values of relation characterization indexes in the wind speed dead zone characterization function and the time dead zone characterization function; and finally, based on the actual index value of the wind speed characterization index and the actual index value of the relation characterization index, according to the wind speed dead zone characterization function and the time dead zone characterization function, the actual value of the wind speed dead zone and the actual value of the time dead zone are determined respectively. Based on the above content, the problems of strong data experience dependence and weak scene adaptability in the existing dead zone parameter determination technology can be improved.

Description

Technical Field

[0001] The present application relates to the field of wind turbine generator control technology, and in particular to a method and apparatus, equipment, and medium for determining dead zone parameters of a wind turbine generator. Background Art

[0002] The wind speed change rate is large at high wind speeds. When encountering high wind speeds, wind turbines will frequently cut in and out and cut in again, which will increase the failure rate of wind turbines and raise the maintenance cost of wind turbines. Offshore wind farms are especially vulnerable to extreme natural weather such as strong tropical storms and typhoons. When a typhoon passes, the mechanical loads on wind turbines increase significantly, seriously threatening the safety and reliability of the units. To avoid wind loads exceeding the design value under strong wind conditions, wind turbines are set with a cut-out wind speed (mostly 25m / s). When the wind speed is detected to be greater than the cut-out wind speed, the wind turbine will stop due to the blade brake. When the wind speed fluctuates above and below the cut-out wind speed, the wind turbine will start and stop frequently, which may significantly increase the failure probability of the wind turbine. According to a large amount of operational and statistical data, gearbox failure is a major cause of shutdown of onshore and offshore wind turbines. Gearboxes are installed in the confined space atop wind turbine towers, making repairs difficult in the event of a failure. The average repair time for gearboxes in onshore wind turbines is 256.7 hours, while for offshore wind turbines, it's as high as 360 hours. 50% of offshore wind turbine downtime is due to gearbox failures. Frequent switching operations of wind turbines increase the risk of gearbox failure. Furthermore, frequent operation of circuit breakers or switches during off-grid and on-grid operation can cause significant temperature increases, leading to breaker or switch failure. Deadband, as a control method to prevent frequent reciprocating motion of the controlled object, is commonly used in the automatic control and power system industries. The wind speed deadband is the set re-cut-in wind speed, and the time deadband is the additional downtime after the turbine is cut out. To prevent frequent starts and stops of wind turbines in strong winds, wind turbine manufacturers have recently introduced wind speed deadbands. This means that after a wind turbine is cut out and shut down due to strong winds, a re-cut-in wind speed (usually 23 m / s) is set below the cut-out wind speed. Only when the wind speed falls below this threshold will the turbine be restarted and connected to the grid for power generation. Due to the high variability of typhoon wind speeds, a wind speed deadband threshold of 23 m / s may not be effective in preventing repeated starts and stops of the turbine.

[0003] It's important to note that the wind speed and time deadbands for cutting in and out reduce the number of wind turbine re-cut-in cycles while also reducing wind farm power generation. Wide wind speed and time deadbands, on the one hand, can reduce the number of wind turbine cut-ins and improve reliability, indirectly reducing maintenance costs and power losses caused by downtime. On the other hand, they can prolong downtime during near-full power conditions before and after typhoons, directly reducing power generation. However, existing technologies using fixed deadband parameters suffer from a strong reliance on empirical data and poor adaptability to specific scenarios (requiring statistical analysis of extensive historical data for different scenarios). Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method and device, equipment and medium for determining dead zone parameters of a wind turbine generator set, so as to improve the problems of strong dependence on data experience and weak scenario adaptability in existing dead zone parameter determination technologies.

[0005] To achieve the above objectives, this application adopts the following technical solutions: A method for determining dead zone parameters of a wind turbine generator set, comprising: Obtaining a predicted wind speed sequence corresponding to a prediction time window, and obtaining a predetermined wind speed dead zone characterization function, a time dead zone characterization function, and an optimization objective function, wherein the prediction time window includes multiple moments, and the predicted wind speed sequence includes multiple predicted wind speeds corresponding to the multiple moments; Determining an actual value of at least one wind speed characterization indicator based on the predicted wind speed sequence, wherein the wind speed dead zone characterization function is used to reflect a mapping relationship between at least one wind speed characterization indicator and the wind speed dead zone, the time dead zone characterization function is used to reflect a mapping relationship between at least one wind speed characterization indicator and the time dead zone, and the optimization objective function is used to reflect a mapping relationship between the wind speed dead zone and the time dead zone and power generation loss; Based on the actual value of the at least one wind speed characterization indicator, with the goal of minimizing power generation loss, determining the actual value of the relationship characterization indicator used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function; Based on the actual value of the at least one wind speed characterization index and the actual value of the relationship characterization index, according to the wind speed dead zone characterization function and the time dead zone characterization function, the actual value of the wind speed dead zone and the actual value of the time dead zone are respectively determined.

[0006] In a preferred embodiment of the present application, in the above-mentioned method for determining dead zone parameters of a wind turbine generator set, the step of determining the actual value of at least one wind speed characterization index based on the predicted wind speed sequence includes: Determining an actual value of a standard deviation index of a wind speed prediction sequence based on the predicted wind speed sequence and a predetermined standard deviation calculation formula; Determining an actual value of a wind speed instantaneous gradient index based on the predicted wind speed sequence and a predetermined gradient calculation formula; Based on the predicted wind speed sequence and a predetermined frequency component calculation formula, an actual value of the dominant frequency component index is determined.

[0007] In a preferred embodiment of the present application, in the above-mentioned method for determining the dead zone parameters of a wind turbine generator set, the standard deviation calculation formula includes: ; in, is the standard deviation index of the wind speed forecast sequence, n is the number of multiple moments, To predict wind speed, is the average wind speed, is the standard time interval, t is the first moment; The gradient calculation formula includes: ; in, is the instantaneous gradient index of wind speed; The frequency component calculation formula includes: , =0,1,2,...,n; in, It is the dominant frequency component indicator.

[0008] In a preferred embodiment of the present application, in the above-mentioned method for determining dead zone parameters of a wind turbine generator set, the wind speed dead zone characterization function includes: ; in, is the wind speed dead zone, is the basic value of the wind speed dead zone, is the standard deviation index of the wind speed prediction series, which is a wind speed characterization index. is the wind speed instantaneous gradient index, which is a wind speed characterization index. and are two relationship representation indicators used to reflect the corresponding mapping relationship in the wind speed dead zone representation function; The time dead zone characterization function includes: ; in, For the time dead zone, is the basic value of the time dead zone, As the dominant frequency component index, it is a wind speed characterization index. is the reference value of wind speed component, It is a relationship characterization indicator used to reflect the corresponding mapping relationship in the time dead zone characterization function.

[0009] In a preferred embodiment of the present application, in the above-mentioned method for determining dead zone parameters of a wind turbine generator set, the optimization objective function includes: ; in, For power generation losses, and are hysteresis power loss and state switching times, respectively. is the grid-connected electricity price of the wind farm, It is a representative value indicating the increase in wind turbine operation and maintenance costs caused by state switching; ; ; ; ; =0; ; in, is the wind speed-power conversion coefficient corresponding to the cut-out wind speed, is the wind speed loss function, and are the cut-out wind speed before adjustment and the cut-out wind speed after adjustment, and are the cut-in wind speed before adjustment and the cut-in wind speed after adjustment, is the standard time interval, t is the first moment, n is the number of moments, The wind speed dead zone at the moment and the wind speed dead zone at the previous moment; When the wind speed is greater than the adjusted cut-out wind speed, the wind speed after cut-out does not reach the adjusted cut-in wind speed, or the cut-out time is less than the time dead zone, , in other cases, 0; When the wind speed is less than the adjusted cut-in wind speed or the wind speed after cut-in does not reach the adjusted cut-out wind speed, , in other cases, 0.

[0010] In a preferred embodiment of the present application, in the above-mentioned method for determining dead zone parameters of a wind turbine generator set, the steps of determining the actual value of the wind speed dead zone and the actual value of the time dead zone respectively based on the actual value of the index of the at least one wind speed characterization index and the actual value of the index of the relationship characterization index, according to the wind speed dead zone characterization function and the time dead zone characterization function, include: Based on the actual value of the at least one wind speed characterization indicator and the actual value of the relationship characterization indicator, determining an initial actual value of the wind speed dead zone and an initial actual value of the time dead zone according to the wind speed dead zone characterization function and the time dead zone characterization function, respectively; Determining whether the wind speed at the current moment meets the turbulence condition, wherein meeting the turbulence condition means that the turbulence intensity corresponding to the wind speed at the current moment is greater than a preset intensity; If the turbulence condition is not met, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are used as the target actual value of the wind speed dead zone and the target actual value of the time dead zone respectively; If the turbulence condition is met, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are updated to form the target actual value of the wind speed dead zone and the target actual value of the time dead zone.

[0011] In a preferred embodiment of the present application, in the above-mentioned method for determining the dead zone parameters of a wind turbine generator set, if the turbulence condition is met, the step of updating the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone to form the target actual value of the wind speed dead zone and the target actual value of the time dead zone includes: If the turbulence condition is met, the initial actual value of the wind speed dead zone is expanded based on the turbulence intensity corresponding to the current wind speed to form a target actual value of the wind speed dead zone; Based on the covariance between the predicted wind speed sequence and the actual wind speed corresponding to each moment in the predicted wind speed sequence, the initial actual value of the time dead zone is extended to form a target actual value of the time dead zone.

[0012] The present application also provides a device for determining dead zone parameters of a wind turbine generator set, comprising: a data acquisition module, configured to acquire a predicted wind speed sequence corresponding to a prediction time window, and to acquire a predetermined wind speed dead zone characterization function, a time dead zone characterization function, and an optimization objective function, wherein the prediction time window includes a plurality of moments, and the predicted wind speed sequence includes a plurality of predicted wind speeds corresponding to the plurality of moments; a first indicator determination module, configured to determine an actual indicator value of at least one wind speed characterization indicator based on the predicted wind speed sequence, wherein the wind speed dead zone characterization function is configured to reflect a mapping relationship between at least one wind speed characterization indicator and a wind speed dead zone, the time dead zone characterization function is configured to reflect a mapping relationship between at least one wind speed characterization indicator and a time dead zone, and the optimization objective function is configured to reflect a mapping relationship between the wind speed dead zone and the time dead zone and power generation loss; a second indicator determination module, configured to determine, based on the actual indicator value of the at least one wind speed characterization indicator and with the goal of minimizing power generation losses, an actual indicator value of a relationship characterization indicator for reflecting corresponding mapping relationships in the wind speed dead zone characterization function and the time dead zone characterization function; The dead zone value determination module is used to determine the actual value of the wind speed dead zone and the actual value of the time dead zone respectively based on the actual value of the indicator of the at least one wind speed characterization indicator and the actual value of the indicator of the relationship characterization indicator, according to the wind speed dead zone characterization function and the time dead zone characterization function.

[0013] Based on the above, the present application further provides an electronic device, including: memory for storing computer programs; The processor connected to the memory is used to execute the computer program stored in the memory to implement the above-mentioned method for determining the dead zone parameters of the wind turbine generator set.

[0014] On the basis of the above, the present application further provides a computer-readable storage medium, in which a computer program is stored. When the computer program is run, each step of the above-mentioned method for determining the dead zone parameters of a wind turbine generator set is executed.

[0015] The present application provides a method, apparatus, device and medium for determining dead zone parameters of a wind turbine generator set. First, a predicted wind speed sequence, a wind speed dead zone characterization function, a time dead zone characterization function and an optimization objective function of a predicted time window are obtained; secondly, the actual value of the wind speed characterization index is determined based on the predicted wind speed sequence; then, based on the actual value of the index, with the goal of minimizing power generation losses, the actual value of the index of the relationship characterization index in the wind speed dead zone characterization function and the time dead zone characterization function is determined; finally, based on the actual value of the index of the wind speed characterization index and the actual value of the index of the relationship characterization index, the actual value of the wind speed dead zone and the actual value of the time dead zone are determined respectively according to the wind speed dead zone characterization function and the time dead zone characterization function. Based on the above content, since the wind speed dead zone and time dead zone can be dynamically confirmed by predicting the wind speed sequence, that is, the corresponding wind speed dead zone and time dead zone are determined based on the predicted wind speed sequence at different times, so that the actual values of the determined wind speed dead zone and time dead zone match the actual wind speed state, it is easier to control the power generation loss. In other words, since it no longer relies on the statistical analysis of a large amount of historical data under different scenarios, it is possible to improve the problems of strong dependence on data experience and weak scenario adaptability in the existing dead zone parameter determination technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings.

[0017] Figure 1 This is a structural block diagram of the electronic device provided in an embodiment of the present application.

[0018] Figure 2 A flow chart of a method for determining dead zone parameters of a wind turbine generator set provided in an embodiment of the present application.

[0019] Figure 3 A block diagram of a device for determining dead zone parameters of a wind turbine generator set provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Generally, the components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the present application without creative work are within the scope of protection of the present application.

[0022] like Figure 1 As shown, an embodiment of the present application provides an electronic device, wherein the electronic device may include a memory, a processor, and a device for determining dead zone parameters of a wind turbine generator set.

[0023] In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, the memory and the processor can be electrically connected through one or more communication buses or signal lines. The dead zone parameter determination device of the wind turbine generator set includes at least one software function module stored in the memory in the form of software or firmware. The processor is used to execute the executable computer program stored in the memory, for example, the software function module and computer program included in the dead zone parameter determination device of the wind turbine generator set, so as to realize the dead zone parameter determination method of the wind turbine generator set provided in the embodiment of the present application.

[0024] Optionally, the memory may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0025] Optionally, the processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a system on chip (SoC), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0026] I understand. Figure 1The structure shown is only for illustration, and the electronic device may also include Figure 1 More or fewer components than shown, or with Figure 1 The different configurations shown may, for example, further include a communication unit for exchanging information with other devices.

[0027] Combine Figure 2 The present application also provides a method for determining dead zone parameters of a wind turbine generator set applicable to the electronic device described above. The steps defined in the process related to the method for determining dead zone parameters of a wind turbine generator set can be implemented by the electronic device.

[0028] The following will Figure 2 The specific process shown is explained in detail.

[0029] Step S110 , obtaining a predicted wind speed sequence corresponding to a prediction time window, and obtaining a predetermined wind speed dead zone characterization function, a time dead zone characterization function, and an optimization objective function.

[0030] In an embodiment of the present application, the electronic device can obtain a predicted wind speed sequence corresponding to a predicted time window, and obtain a predetermined wind speed dead zone characterization function, a time dead zone characterization function, and an optimization objective function. The predicted time window includes multiple moments, and the predicted wind speed sequence includes multiple predicted wind speeds corresponding to the multiple moments. For example, the predicted time window can be , the predicted wind speed series , , is a standard time interval. It should be noted that the specific prediction method of the predicted wind speed (which is not the focus of this application) is not limited, and existing wind speed prediction technology can be used. In addition, the wind speed dead zone characterization function is used to reflect the mapping relationship between at least one of the wind speed characterization indicators and the wind speed dead zone, the time dead zone characterization function is used to reflect the mapping relationship between at least one of the wind speed characterization indicators and the time dead zone, and the optimization objective function is used to reflect the mapping relationship between the wind speed dead zone and the time dead zone and the power generation loss.

[0031] Step S120: determining an actual value of at least one wind speed characterization index based on the predicted wind speed sequence.

[0032] In an embodiment of the present application, after obtaining the predicted wind speed sequence, the electronic device can determine the actual value of at least one wind speed characterization index based on the predicted wind speed sequence. The wind speed characterization index refers to an index related to the distribution of predicted wind speeds in the predicted wind speed sequence, i.e., used to reflect the distribution of predicted wind speeds. Thus, in subsequent processing, the actual value of the wind speed dead zone and the actual value of the time dead zone are determined based on the actual value of the wind speed characterization index, which can achieve adaptation to the wind speed at the current moment, thereby improving reliability.

[0033] Step S130, based on the actual value of the at least one wind speed characterization indicator, with the goal of minimizing power generation loss, determining the actual value of the relationship characterization indicator used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function.

[0034] In an embodiment of the present application, after determining the actual value of the index of the at least one wind speed characterization index, the electronic device can determine the actual value of the index of the relationship characterization index used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function based on the actual value of the index of the at least one wind speed characterization index, with the goal of minimizing power generation loss. That is, in the wind speed dead zone characterization function and the time dead zone characterization function, the relationship characterization index of the wind speed dead zone, the time dead zone, and the corresponding mapping relationship is unknown, and the wind speed characterization index is known. In the optimization objective function, the wind speed dead zone, the time dead zone, and the power generation loss are unknown, and the relationship characterization index of the corresponding mapping relationship is known. In this way, with the goal of minimizing power generation loss, by jointly solving the three functions, the actual value of the index of the relationship characterization index used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function can be determined.

[0035] Step S140 , based on the actual value of the at least one wind speed characterization index and the actual value of the relationship characterization index, according to the wind speed dead zone characterization function and the time dead zone characterization function, respectively determine the actual value of the wind speed dead zone and the actual value of the time dead zone.

[0036] In an embodiment of the present application, after determining the actual value of the indicator of the relationship characterization indicator, the electronic device can determine the actual value of the wind speed dead zone and the actual value of the time dead zone respectively based on the actual value of the indicator of the at least one wind speed characterization indicator and the actual value of the indicator of the relationship characterization indicator, in accordance with the wind speed dead zone characterization function and the time dead zone characterization function. After determining the actual value of the indicator of the relationship characterization indicator, in the wind speed dead zone characterization function, only the wind speed dead zone belongs to the unknown value, so it can be directly solved. Similarly, in the time dead zone characterization function, only the time dead zone belongs to the unknown value, so it can be directly solved.

[0037] Based on the above content, since the wind speed dead zone and time dead zone can be dynamically confirmed by predicting the wind speed sequence, that is, the corresponding wind speed dead zone and time dead zone are determined based on the predicted wind speed sequence at different times, so that the actual values of the determined wind speed dead zone and time dead zone match the actual wind speed state, it is easier to control the power generation loss. In other words, since it no longer relies on the statistical analysis of a large amount of historical data under different scenarios, it is possible to improve the problems of strong dependence on data experience and weak scenario adaptability in the existing dead zone parameter determination technology.

[0038] First, it should be noted that for step S110 , the specific structures of the wind speed dead zone characterization function, the time dead zone characterization function, and the optimization objective function are not limited and can be selected and configured accordingly according to actual needs.

[0039] For example, in an alternative embodiment, in order to take into account long-term and short-term changes in wind speed, the wind speed dead zone characterization function may include the following: ; in, is the wind speed dead zone, is the basic value of the wind speed dead zone (such as 1.5m / s, etc.), is the standard deviation index of the wind speed forecast series (i.e. the long-term change of wind speed), which is used as a wind speed characterization index. is the wind speed instantaneous gradient index (i.e. the short-term change of wind speed), and is used as a wind speed characterization index. and are two relationship characterization indicators used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function. That is, and The relationship representation index that needs to be determined to reflect the corresponding mapping relationship, that is, the actual value of the corresponding index needs to be determined first. In this way, the actual value of the wind speed dead zone can be determined based on the above formula.

[0040] For example, in an alternative embodiment, in order to take into account the dominant frequency component of the wind speed, the time dead zone characterization function may include the following: ; in, For the time dead zone, is the basic value of the time dead zone (such as 30 minutes, etc.), As the dominant frequency component index, it is a wind speed characterization index. is the reference value of wind speed component, is a relationship characterization index used to reflect the corresponding mapping relationship in the time dead zone characterization function. That is, The relationship representation index that needs to be determined to reflect the corresponding mapping relationship, that is, the actual value of the corresponding index needs to be determined first. In this way, the actual value of the time dead zone can be determined based on the above formula.

[0041] For example, in an alternative embodiment, in order to consider power generation losses from multiple perspectives, the optimization objective function may include the following: ; in, For power generation losses, and are hysteresis power loss and state switching times, respectively. is the grid-connected electricity price of the wind farm (in yuan / kWh), is the value representing the increase in wind turbine operation and maintenance cost caused by state switching (in yuan / time); where: ; ; ; ; =0; ; in, is the wind speed-power conversion coefficient corresponding to the cut-out wind speed, is the wind speed loss function, and are the cut-out wind speed before adjustment and the cut-out wind speed after adjustment, and are the cut-in wind speed before adjustment and the cut-in wind speed after adjustment, is the standard time interval, t is the first moment, n is the number of moments, The wind speed dead zone at the moment and the wind speed dead zone at the previous moment; Moreover, when the wind speed is greater than the adjusted cut-out wind speed, the wind speed after cut-out does not reach the adjusted cut-in wind speed, or the cut-out time is less than the time dead zone, , in other cases, 0; When the wind speed is less than the adjusted cut-in wind speed or the wind speed after cut-in does not reach the adjusted cut-out wind speed, , in other cases, 0. That is to say, only when the wind turbine is switched on or off, the switch-on / off 01 flag of the wind turbine will change, so the number of times the wind turbine is switched on or off within a period of time can be counted by the above formula.

[0042] Based on the above, it should also be noted that the dynamic adjustment of the wind speed deadband is determined based on wind speed fluctuations over time and instantaneous changes in wind speed at a single moment, accounting for both short-term and longer-term environmental changes. The time deadband is determined based on the dominant frequency component of wind speed over a period of time. When the wind speed component is greater than the reference value, the wind speed is likely to increase at the next moment, and the deadband time needs to be increased to accommodate the wind speed change. When the wind speed component is less than the reference value, the wind speed is likely to decrease at the next moment, and the deadband time needs to be decreased to accommodate the wind speed change. The greater the difference from the reference component value, the greater the adjustment of the time deadband. When the dominant frequency component of wind speed is close to the reference value, the wind speed change is small, and only minor adjustments to the time deadband are required. In other words, the above algorithm uses a nonlinear adjustment strategy to address sudden wind speed changes, which is more adaptable to environmental changes than a linear adjustment strategy.

[0043] Secondly, it should be noted that for step S120, the specific method of determining the actual value of at least one wind speed characterization index based on the predicted wind speed sequence is not limited and can be selected accordingly according to actual needs.

[0044] For example, in an alternative embodiment, in order to better cope with the sudden change in wind speed scenario and ensure that the actual value of the determined wind speed dead zone and the actual value of the time dead zone better adapt to environmental changes, the above-mentioned step S120 may include the following contents: In one aspect, an actual value of a standard deviation index of a wind speed prediction sequence may be determined based on the predicted wind speed sequence and a predetermined standard deviation calculation formula; In one aspect, the actual value of the wind speed instantaneous gradient index can be determined based on the predicted wind speed sequence and a predetermined gradient calculation formula; In one aspect, the actual value of the dominant frequency component index may be determined based on the predicted wind speed sequence and a predetermined frequency component calculation formula.

[0045] It is understood that, in the above step S120, the specific content of the standard deviation calculation formula is not limited. For example, in an alternative embodiment, the standard deviation calculation formula includes: ; in, is the standard deviation index of the wind speed forecast sequence, n is the number of multiple moments, To predict wind speed, is the average wind speed, is the standard time interval, and t is the first moment.

[0046] It is understandable that, in the above step S120, the specific content of the gradient calculation formula is not limited. For example, in an alternative embodiment, the gradient calculation formula includes: ; in, It is the instantaneous gradient index of wind speed.

[0047] It is understandable that, in the above step S120, the specific content of the frequency component calculation formula is not limited. For example, in an alternative embodiment, the frequency component calculation formula includes: , =0,1,2,...,n; in, is the dominant frequency component index, which is determined by Fourier transform.

[0048] Thirdly, it should be noted that for step S130, the specific method of determining the actual value of the relationship characterization indicator used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function is not limited and can be selected according to actual needs.

[0049] For example, in an alternative embodiment, based on the actual value of the at least one wind speed characterization indicator, with the goal of minimizing power generation losses, a heuristic algorithm is used to determine the actual value of the relationship characterization indicator used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function.

[0050] Fourthly, it should be noted that for step S140 , the specific method of respectively determining the actual value of the wind speed dead zone and the actual value of the time dead zone is not limited and can be selected according to actual needs.

[0051] For example, in an alternative embodiment, in order to improve the efficiency of determining the actual value, the above-mentioned step S140 may include the following contents: Based on the actual value of the at least one wind speed characterization indicator and the actual value of the relationship characterization indicator, determining an initial actual value of the wind speed dead zone and an initial actual value of the time dead zone according to the wind speed dead zone characterization function and the time dead zone characterization function, respectively; The initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are respectively used as the target actual value of the wind speed dead zone and the target actual value of the time dead zone.

[0052] For another example, in another alternative embodiment, in order to further improve the reliability of the determined actual value, the above-mentioned step S140 may further include step S141, step S142, step S143 and step S144, and the specific content of each step is described as follows.

[0053] Step S141, based on the actual value of the at least one wind speed characterization index and the actual value of the relationship characterization index, according to the wind speed dead zone characterization function and the time dead zone characterization function, respectively determine the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone.

[0054] In an embodiment of the present application, based on the actual value of the indicator of the at least one wind speed characterization indicator and the actual value of the indicator of the relationship characterization indicator, according to the wind speed dead zone characterization function and the time dead zone characterization function, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are respectively determined, that is, the initial actual value of the wind speed dead zone is determined based on the wind speed dead zone characterization function, and the initial actual value of the time dead zone is determined based on the time dead zone characterization function.

[0055] Step S142: Determine whether the wind speed at the current moment meets the turbulence condition.

[0056] In the embodiments of the present application, when turbulence is generated by a short, rapid change in wind speed, it is necessary to fine-tune the dead zone parameters on a smaller time scale based on the turbulence intensity to better cope with short, dramatic changes in meteorological conditions. Thus, after determining the initial actual value, it is also possible to determine whether the current wind speed meets the turbulence condition. Meeting the turbulence condition means that the turbulence intensity corresponding to the current wind speed is greater than a preset intensity (e.g., 0.15).

[0057] Step S143: If the turbulence condition is not met, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are used as the target actual value of the wind speed dead zone and the target actual value of the time dead zone respectively.

[0058] In an embodiment of the present application, when it is determined that the turbulence condition is not met, that is, the turbulence intensity is relatively low, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone can be used as the target actual value of the wind speed dead zone and the target actual value of the time dead zone, respectively.

[0059] Step S144 : If the turbulence condition is met, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are updated to form the target actual value of the wind speed dead zone and the target actual value of the time dead zone.

[0060] In an embodiment of the present application, when it is determined that the turbulence condition is met, that is, the turbulence intensity is relatively high, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone can be updated to form the target actual value of the wind speed dead zone and the target actual value of the time dead zone to adapt to short-term and drastic changes in meteorological conditions. As mentioned above, there will be a standard time interval between two adjacent moments. In this way, if the turbulence intensity is relatively high, if the determined initial actual value is used within the time interval of the standard time interval (such as 5 minutes), it may be difficult to adapt to the situation of short-term and drastic changes in wind speed. Based on this, it is necessary to update the initial actual value accordingly.

[0061] It is understandable that, in the above step S144, the specific manner of updating the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone is not limited. For example, in an alternative embodiment, the above step S144 may include the following contents: If the turbulence condition is met, the initial actual value of the wind speed dead zone is expanded based on the turbulence intensity corresponding to the current wind speed to form a target actual value of the wind speed dead zone; Furthermore, based on the covariance between the predicted wind speed sequence and the actual wind speed corresponding to each moment in the predicted wind speed sequence, the initial actual value of the time dead zone may be extended to form a target actual value of the time dead zone.

[0062] For example, in a specific implementation, the initial actual value of the wind speed dead zone is expanded to form a target actual value of the wind speed dead zone, which can be achieved by the following formula: = × (1 + 0.5·TI); in, is the target actual value of the wind speed dead zone, is the initial actual value of the wind speed dead zone, and TI is the turbulence intensity corresponding to the wind speed at the current moment.

[0063] For example, in a specific implementation, the initial actual value of the time dead zone is extended to form the target actual value of the time dead zone, which can be achieved by the following formula: = × (1 + 3· ); in, is the target actual value of the time dead zone, is the initial actual value of the time dead zone, is the covariance, and the above prediction time window is Take the example to illustrate, the current time is , so we need to The covariance of the predicted wind speed and the actual wind speed at each moment is calculated to calculate The target actual value of the time dead zone at the corresponding moment.

[0064] Combine Figure 3 The present application also provides a device for determining dead zone parameters of a wind turbine generator set applicable to the electronic device described above. The device may include a data acquisition module, a first indicator determination module, a second indicator determination module, and a dead zone value determination module.

[0065] The data acquisition module is used to obtain the predicted wind speed sequence corresponding to the prediction time window, and obtain the predetermined wind speed dead zone characterization function, time dead zone characterization function and optimization objective function, wherein the prediction time window includes multiple moments, and the predicted wind speed sequence includes multiple predicted wind speeds corresponding to the multiple moments. In the embodiment of the present application, the data acquisition module can be used to perform Figure 2 As shown in step S110, for the relevant content of the data acquisition module, reference may be made to the above description of step S110.

[0066] The first indicator determination module is used to determine the actual value of at least one wind speed characterization indicator based on the predicted wind speed sequence, wherein the wind speed dead zone characterization function is used to reflect the mapping relationship between at least one wind speed characterization indicator and the wind speed dead zone, the time dead zone characterization function is used to reflect the mapping relationship between at least one wind speed characterization indicator and the time dead zone, and the optimization objective function is used to reflect the mapping relationship between the wind speed dead zone and the time dead zone and the power generation loss. In this embodiment of the application, the first indicator determination module can be used to perform Figure 2 As shown in step S120, for the relevant content of the first indicator determination module, please refer to the above description of step S120.

[0067] The second indicator determination module is used to determine the actual value of the relationship characterization index used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function based on the actual value of the at least one wind speed characterization index, with the goal of minimizing power generation loss. In this embodiment of the present application, the second indicator determination module can be used to perform Figure 2As shown in step S130, for the relevant content of the second indicator determination module, reference can be made to the above description of step S130.

[0068] The dead zone value determination module is used to determine the actual value of the wind speed dead zone and the actual value of the time dead zone based on the actual value of the at least one wind speed characterization indicator and the actual value of the relationship characterization indicator, according to the wind speed dead zone characterization function and the time dead zone characterization function. In the embodiment of the present application, the dead zone value determination module can be used to perform Figure 2 As shown in step S140, for the relevant content of the dead zone value determination module, reference can be made to the above description of step S140.

[0069] In an embodiment of the present application, corresponding to the above-mentioned method for determining the dead zone parameters of a wind turbine generator set applied to the electronic device, a computer-readable storage medium is also provided, in which a computer program is stored. When the computer program is run, the various steps of the method for determining the dead zone parameters of the wind turbine generator set are executed.

[0070] The steps executed when the aforementioned computer program is running will not be described in detail here, and reference may be made to the above explanation of the method for determining the dead zone parameters of the wind turbine generator set.

[0071] To summarize, the dead zone parameter determination method, apparatus, equipment, and medium for a wind turbine generator set provided in the present application first obtain the predicted wind speed sequence, wind speed dead zone characterization function, time dead zone characterization function, and optimization objective function of the prediction time window; secondly, determine the actual value of the wind speed characterization index based on the predicted wind speed sequence; then, based on the actual value of the index, determine the actual value of the relationship characterization index in the wind speed dead zone characterization function and the time dead zone characterization function with the goal of minimizing power generation losses; finally, based on the actual value of the index of the wind speed characterization index and the actual value of the index of the relationship characterization index, determine the actual value of the wind speed dead zone and the actual value of the time dead zone respectively according to the wind speed dead zone characterization function and the time dead zone characterization function. Based on the above content, since the wind speed dead zone and time dead zone can be dynamically confirmed by predicting the wind speed sequence, that is, the corresponding wind speed dead zone and time dead zone are determined based on the predicted wind speed sequence at different times, so that the actual values of the determined wind speed dead zone and time dead zone match the actual wind speed state, it is easier to control the power generation loss. In other words, since it no longer relies on the statistical analysis of a large amount of historical data under different scenarios, it is possible to improve the problems of strong dependence on data experience and weak scenario adaptability in the existing dead zone parameter determination technology.

[0072] In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device and method embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0073] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0074] If the functions are implemented in the form of software modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, electronic device, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. It should be noted that, in this document, the terms "comprise," "include," or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article, or device. Without further constraints, an element defined by the phrase "comprises a..." does not preclude the existence of additional identical elements in the process, method, article or apparatus that includes the element.

[0075] The above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for determining dead zone parameters of a wind turbine generator set, characterized in that: include: Obtaining a predicted wind speed sequence corresponding to a prediction time window, and obtaining a predetermined wind speed dead zone characterization function, a time dead zone characterization function, and an optimization objective function, wherein the prediction time window includes multiple moments, and the predicted wind speed sequence includes multiple predicted wind speeds corresponding to the multiple moments; Determining an actual value of at least one wind speed characterization indicator based on the predicted wind speed sequence, wherein the wind speed dead zone characterization function is used to reflect a mapping relationship between at least one wind speed characterization indicator and the wind speed dead zone, the time dead zone characterization function is used to reflect a mapping relationship between at least one wind speed characterization indicator and the time dead zone, and the optimization objective function is used to reflect a mapping relationship between the wind speed dead zone and the time dead zone and power generation loss; Based on the actual value of the at least one wind speed characterization indicator, with the goal of minimizing power generation loss, determining the actual value of the relationship characterization indicator used to reflect the corresponding mapping relationship in the wind speed dead zone characterization function and the time dead zone characterization function; Based on the actual value of the at least one wind speed characterization index and the actual value of the relationship characterization index, according to the wind speed dead zone characterization function and the time dead zone characterization function, the actual value of the wind speed dead zone and the actual value of the time dead zone are respectively determined.

2. The method for determining dead zone parameters of a wind turbine generator set according to claim 1, characterized in that: The step of determining the actual value of at least one wind speed characterization indicator based on the predicted wind speed sequence includes: Determining an actual value of a standard deviation index of a wind speed prediction sequence based on the predicted wind speed sequence and a predetermined standard deviation calculation formula; Determining an actual value of a wind speed instantaneous gradient index based on the predicted wind speed sequence and a predetermined gradient calculation formula; Based on the predicted wind speed sequence and a predetermined frequency component calculation formula, an actual value of the dominant frequency component index is determined.

3. The method for determining dead zone parameters of a wind turbine generator set according to claim 2, wherein: The standard deviation calculation formula includes: ； in, is the standard deviation index of the wind speed forecast sequence, n is the number of multiple moments, To predict wind speed, is the average wind speed, is the standard time interval, t is the first moment; The gradient calculation formula includes: ； in, is the instantaneous gradient index of wind speed; The frequency component calculation formula includes: ， =0,1,2,...,n； in, It is the dominant frequency component indicator.

4. The method for determining dead zone parameters of a wind turbine generator set according to claim 1, wherein: The wind speed dead zone characterization function includes: ； in, is the wind speed dead zone, is the basic value of the wind speed dead zone, is the standard deviation index of the wind speed prediction series, which is a wind speed characterization index. is the wind speed instantaneous gradient index, which is a wind speed characterization index. and are two relationship representation indicators used to reflect the corresponding mapping relationship in the wind speed dead zone representation function; The time dead zone characterization function includes: ； in, For the time dead zone, is the basic value of the time dead zone, As the dominant frequency component index, it is a wind speed characterization index. is the reference value of wind speed component, It is a relationship characterization indicator used to reflect the corresponding mapping relationship in the time dead zone characterization function.

5. The method for determining dead zone parameters of a wind turbine generator set according to claim 1, characterized in that: The optimization objective function includes: ； in, For power generation losses, and are hysteresis power loss and state switching times, respectively. is the grid-connected electricity price of the wind farm, It is a representative value indicating the increase in wind turbine operation and maintenance costs caused by state switching; ； ； ； ； =0； ； in, is the wind speed-power conversion coefficient corresponding to the cut-out wind speed, is the wind speed loss function, and are the cut-out wind speed before adjustment and the cut-out wind speed after adjustment, and are the cut-in wind speed before and after adjustment, is the standard time interval, t is the first moment, n is the number of moments, The wind speed dead zone at the moment and the wind speed dead zone at the previous moment; When the wind speed is greater than the adjusted cut-out wind speed, the wind speed after cut-out does not reach the adjusted cut-in wind speed, or the cut-out time is less than the time dead zone, , in other cases, 0; When the wind speed is less than the adjusted cut-in wind speed or the wind speed after cut-in does not reach the adjusted cut-out wind speed, , in other cases, 0.

6. The method for determining dead zone parameters of a wind turbine generator set according to any one of claims 1 to 5, characterized in that: The step of determining the actual value of the wind speed dead zone and the actual value of the time dead zone respectively based on the actual value of the at least one wind speed characterization indicator and the actual value of the relationship characterization indicator and according to the wind speed dead zone characterization function and the time dead zone characterization function comprises: Based on the actual value of the at least one wind speed characterization indicator and the actual value of the relationship characterization indicator, determining an initial actual value of the wind speed dead zone and an initial actual value of the time dead zone according to the wind speed dead zone characterization function and the time dead zone characterization function, respectively; Determining whether the wind speed at the current moment meets the turbulence condition, wherein meeting the turbulence condition means that the turbulence intensity corresponding to the wind speed at the current moment is greater than a preset intensity; If the turbulence condition is not met, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are used as the target actual value of the wind speed dead zone and the target actual value of the time dead zone respectively; If the turbulence condition is met, the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone are updated to form the target actual value of the wind speed dead zone and the target actual value of the time dead zone.

7. The method for determining dead zone parameters of a wind turbine generator set according to claim 6, characterized in that: If the turbulence condition is met, the step of updating the initial actual value of the wind speed dead zone and the initial actual value of the time dead zone to form the target actual value of the wind speed dead zone and the target actual value of the time dead zone includes: If the turbulence condition is met, the initial actual value of the wind speed dead zone is expanded based on the turbulence intensity corresponding to the current wind speed to form a target actual value of the wind speed dead zone; Based on the covariance between the predicted wind speed sequence and the actual wind speed corresponding to each moment in the predicted wind speed sequence, the initial actual value of the time dead zone is extended to form a target actual value of the time dead zone.

8. A device for determining dead zone parameters of a wind turbine generator set, characterized in that: include: a data acquisition module, configured to acquire a predicted wind speed sequence corresponding to a prediction time window, and to acquire a predetermined wind speed dead zone characterization function, a time dead zone characterization function, and an optimization objective function, wherein the prediction time window includes a plurality of moments, and the predicted wind speed sequence includes a plurality of predicted wind speeds corresponding to the plurality of moments; a first indicator determination module, configured to determine an actual indicator value of at least one wind speed characterization indicator based on the predicted wind speed sequence, wherein the wind speed dead zone characterization function is configured to reflect a mapping relationship between at least one wind speed characterization indicator and a wind speed dead zone, the time dead zone characterization function is configured to reflect a mapping relationship between at least one wind speed characterization indicator and a time dead zone, and the optimization objective function is configured to reflect a mapping relationship between the wind speed dead zone and the time dead zone and power generation loss; a second indicator determination module, configured to determine, based on the actual indicator value of the at least one wind speed characterization indicator and with the goal of minimizing power generation losses, an actual indicator value of a relationship characterization indicator for reflecting corresponding mapping relationships in the wind speed dead zone characterization function and the time dead zone characterization function; The dead zone value determination module is used to determine the actual value of the wind speed dead zone and the actual value of the time dead zone respectively based on the actual value of the indicator of the at least one wind speed characterization indicator and the actual value of the indicator of the relationship characterization indicator, according to the wind speed dead zone characterization function and the time dead zone characterization function.

9. An electronic device, characterized in that: include: memory for storing computer programs; A processor connected to the memory is used to execute the computer program stored in the memory to implement the method for determining the dead zone parameters of a wind turbine generator set according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when running, executes the method for determining dead zone parameters of a wind turbine generator set according to any one of claims 1 to 7.

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