Evaluation method, device and equipment for wind energy resources of wind power plant and storage medium
By predicting temperature and wind speed, calculating the target wind speed and wind power power, the problem of inaccurate wind energy resource assessment in extreme weather in the existing technology is solved, and the accuracy of wind power power prediction and wind energy resource assessment are achieved.
Patent Information
- Application Number
- CN202510030010.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-08
- Publication Date
- 2025-06-10
AI Technical Summary
The existing wind energy resource assessment methods for wind farms cannot accurately reflect the real-time changes in wind energy resources in extreme weather such as cold waves, which leads to waste of wind energy resources, damage to power equipment and increasing grid burden.
By obtaining the predicted temperature and predicted wind speed of the wind farm within the target time, calculating the target temperature difference and target wind speed of the period, calculating the wind power that the wind farm can output at the target wind speed, and summing the wind power of each period to obtain the total wind power that the wind farm can output.
In extreme weather with drastically changing wind speed, it can accurately reflect the real-time changes in wind power output by the wind farm, improve the accuracy of wind power prediction, and improve the accuracy of wind energy resource evaluation in the wind farm.
Smart Images
Figure CN120124841A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of wind power, and particularly to a method, device, equipment and storage medium for evaluating the wind energy resources of a wind farm. Background Art
[0002] With the global energy structure transitioning towards renewable energy, wind power, as an important clean energy source, has gradually become a key component of the power system. However, the characteristics of wind power determine that it is strongly influenced by external factors such as climate and environment. Especially under extreme weather conditions such as cold snaps, the operating efficiency of wind farms and the stability of power grid dispatching face huge challenges.
[0003] A cold snap is a low-temperature weather phenomenon triggered by the intrusion of a large-scale strong cold air mass, and its characteristics usually include extreme low temperature, strong winds, and drastic climate changes. During a cold snap, the wind speed volatility of the wind farm increases, and the wind speed is often higher than under normal weather conditions, increasing the difficulty of evaluating the wind energy resources of the wind farm, which in turn leads to waste of wind energy resources, equipment damage, and an excessive burden on the power grid. The wind energy resources of a wind farm refer to the wind power that the wind farm can output.
[0004] Existing methods for evaluating the wind energy resources of wind farms often cannot accurately reflect the real-time changes in wind energy resources under extreme weather conditions such as sudden changes in wind speed during cold snaps, and cannot achieve accurate wind power prediction, which in turn leads to waste of wind energy resources, damage to power equipment, and an increase in the burden on the power grid. Summary of the Invention
[0005] To solve the above technical problems, the present disclosure provides a method, device, equipment and storage medium for evaluating the wind energy resources of a wind farm.
[0006] The first aspect of the present disclosure provides a method for evaluating the wind energy resources of a wind farm, including:
[0007] Obtaining the predicted temperature and predicted wind speed of the wind farm within each time period included in the target duration;
[0008] For each time period in the target duration, calculating the difference between the predicted temperature of the time period and the standard temperature corresponding to the wind farm within the time period to obtain the target temperature difference of the time period;
[0009] Based on the target temperature difference and predicted wind speed of the time period, determining the target wind speed of the time period under the influence of the target temperature difference for the predicted wind speed;
[0010] Calculating the wind power that the wind farm can output under the action of the target wind speed within the time period;
[0011] Summing up the wind power that can be output within each time period in the target duration to obtain the total wind power that the wind farm can output within the target duration.
[0012] The second aspect of the present disclosure provides an evaluation device for wind energy resources of a wind farm, including:
[0013] An acquisition module, configured to acquire the predicted temperature and predicted wind speed of the wind farm in each time period included in the target duration;
[0014] A first calculation module, configured to calculate, for each time period in the target duration, the difference between the predicted temperature of the time period and the standard temperature corresponding to the wind farm within the time period, to obtain the target temperature difference of the time period;
[0015] A determination module, configured to determine the target wind speed of the time period under the influence of the target temperature difference based on the target temperature difference and the predicted wind speed of the time period;
[0016] A second calculation module, configured to calculate the wind power that can be output by the wind farm within the time period under the action of the target wind speed;
[0017] A first summation module, configured to sum the wind power that can be output in each time period in the target duration, to obtain the total wind power that can be output by the wind farm within the target duration.
[0018] The third aspect of the present disclosure provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the evaluation method for wind energy resources of the wind farm in the first aspect can be implemented.
[0019] The fourth aspect of the present disclosure provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by the processor, the evaluation method for wind energy resources of the wind farm in the first aspect can be implemented.
[0020] The technical solution provided by the present disclosure has the following advantages compared with the prior art:
[0021] The present disclosure acquires the predicted temperature and predicted wind speed of the wind farm in each time period included in the target duration; calculates, for each time period in the target duration, the difference between the predicted temperature of the time period and the standard temperature corresponding to the wind farm within the time period, to obtain the target temperature difference of the time period; determines the target wind speed of the time period under the influence of the target temperature difference based on the target temperature difference and the predicted wind speed of the time period; calculates the wind power that can be output by the wind farm within the time period under the action of the target wind speed; sums the wind power that can be output in each time period in the target duration, to obtain the total wind power that can be output by the wind farm within the target duration. The present disclosure can predict the total wind power that can be output by the wind farm at the target wind speed by evaluating the target wind speed of the predicted wind speed of the wind farm under the influence of temperature changes, and can more accurately reflect the real-time change of the wind power that can be output by the wind farm in extreme weather with rapid wind speed changes, improve the accuracy of wind power prediction under rapid wind speed changes, and improve the accuracy of wind energy resource evaluation of the wind farm. Description of the Drawings
[0022] The accompanying drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present disclosure and, together with the specification, are used to explain the principles of the present disclosure.
[0023] To more clearly illustrate the technical solutions in the embodiments of the present disclosure or in the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0024] Figure 1 is a flowchart of a method for evaluating wind energy resources of a wind farm provided by an embodiment of the present disclosure;
[0025] Figure 2 is a flowchart of a method for adjusting the power of a wind farm provided by an embodiment of the present disclosure;
[0026] Figure 3 is a schematic structural diagram of an apparatus for evaluating wind energy resources of a wind farm provided by an embodiment of the present disclosure;
[0027] Figure 4 is a schematic structural diagram of a computer device provided by an embodiment of the present disclosure. Detailed Embodiments
[0028] In order to be able to more clearly understand the above-mentioned objects, features, and advantages of the present disclosure, the following will further describe the solutions of the present disclosure. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.
[0029] Many specific details are set forth in the following description to facilitate a full understanding of the present disclosure, but the present disclosure may be practiced in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all of the embodiments.
[0030] It should be understood that the various steps recorded in the method embodiments of the present disclosure can be executed in different orders and / or executed in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.
[0031] It should be noted that in this document, relative terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising said element.
[0032] It should be noted that the modifications of "one" and "multiple" mentioned in this disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".
[0033] The method for evaluating the wind energy resources of a wind farm provided by an embodiment of the present disclosure can be executed by a computer device, which can be understood as any device with processing and computing capabilities. Such a device may include, but is not limited to, mobile terminals such as smart phones, laptop computers, and tablet computers (PADs), as well as fixed electronic devices such as digital TVs and desktop computers.
[0034] To better understand the inventive concept of the embodiments of the present disclosure, the technical solutions of the embodiments of the present disclosure will be described below in conjunction with exemplary embodiments.
[0035] Figure 1 is a flowchart of a method for evaluating the wind energy resources of a wind farm provided by an embodiment of the present disclosure. This method can be executed by a computer device, such as Figure 1 As shown, the method for evaluating the wind energy resources of a wind farm provided in this embodiment includes the following steps:
[0036] Step 110: Obtain the predicted air temperature and predicted wind speed of the wind farm during each time period included in the target duration.
[0037] In an embodiment of the present disclosure, the computer device can obtain the predicted air temperature and predicted wind speed of the wind farm during each time period included in the target duration.
[0038] The target duration can be set as needed, for example, the next 24 hours, which is not limited here.
[0039] The wind farm includes at least one wind turbine.
[0040] Specifically, the computer device can obtain the meteorological prediction data of the wind farm within the target duration, and obtain the predicted temperature and predicted wind speed of the wind farm in each time period included in the target duration from the meteorological prediction data. For example, the meteorological prediction data can be meteorological prediction grid data.
[0041] Step 120: For each time period in the target duration, calculate the difference between the predicted temperature of this time period and the standard temperature corresponding to the wind farm within this time period, to obtain the target temperature difference of this time period.
[0042] In the embodiments of the present disclosure, for each time period in the target duration, the computer device can calculate the difference between the predicted temperature of this time period and the standard temperature corresponding to this time period, to obtain the target temperature difference of this time period.
[0043] The standard temperature can be understood as the average temperature or the reference temperature, and can be set according to needs or historical weather data, which is not limited here.
[0044] Step 130: Based on the target temperature difference and the predicted wind speed of this time period, determine the target wind speed of this time period under the influence of the target temperature difference on the predicted wind speed.
[0045] In the embodiments of the present disclosure, for each time period in the target duration, the computer device can determine the target wind speed of this time period under the influence of the target temperature difference on the predicted wind speed based on the target temperature difference and the predicted wind speed of this time period, that is, determine the influence magnitude of the temperature change on the wind speed.
[0046] In some embodiments, the target wind speed of this time period under the influence of the target temperature difference on the predicted wind speed can be determined by formula (1):
[0047] V t =V 0 (1 + aΔT) (1);
[0048] Wherein, V t represents the target wind speed of this time period; V 0 represents the predicted wind speed of this time period; a represents the sensitivity coefficient of the wind speed to the temperature change; △T represents the target temperature difference of this time period.
[0049] The sensitivity coefficient of the wind speed to the temperature change can be set in advance, which is not limited here.
[0050] Step 140: Calculate the wind power that can be output by the wind farm under the action of the target wind speed within this time period.
[0051] In the embodiments of the present disclosure, for each time period in the target duration, the computer device can calculate the wind power that can be output by the wind farm under the action of the target wind speed within this time period, that is, the wind power that can be output by all wind turbines in the wind farm.
[0052] In some embodiments, calculating the wind power that can be output by a wind farm under the action of a target wind speed during a period may include S11 - S12:
[0053] S11. Calculate the instantaneous wind power that can be output by the wind farm per unit time based on the swept area of the wind turbines in the wind farm, the target wind speed, and the air density.
[0054] In the embodiments of the present disclosure, the swept area of the wind turbines in the wind farm is the total area covered when the wind turbine blades of all the wind turbines in the wind farm rotate. The swept area of the wind turbines can be used to measure the power generation capacity of the wind turbines.
[0055] For example, the instantaneous wind power that can be output by the wind farm per unit time can be calculated by Equation (2):
[0056]
[0057] where P wind represents the instantaneous wind power that can be output by the wind farm per unit time; ρ represents the air density; A represents the swept area of the wind turbines in the wind farm; V t represents the target wind speed.
[0058] S12. Calculate the product of the instantaneous wind power and the duration of the period to obtain the wind power that can be output by the wind farm under the action of the target wind speed during the period.
[0059] Step 150. Sum the wind powers that can be output in each period within the target duration to obtain the total wind power that can be output by the wind farm within the target duration.
[0060] In the embodiments of the present disclosure, after obtaining the wind powers that can be output in each period within the target duration, the computer device can sum the wind powers that can be output in each period within the target duration to obtain the total wind power that can be output by the wind farm within the target duration.
[0061] The wind power that can be output by the wind farm can be understood as the wind energy resource of the wind farm.
[0062] Thus, by evaluating the target wind speed of the predicted wind speed of the wind farm under the influence of temperature change, the total wind power that can be output by the wind farm under the target wind speed can be predicted, which can more accurately reflect the real-time change of the wind power that can be output by the wind farm in extreme weather with rapid wind speed change, improve the accuracy of wind power prediction under rapid wind speed change, and improve the accuracy of wind energy resource assessment of the wind farm.
[0063] In some embodiments of the present disclosure, after summing the wind powers that can be output in each period within the target duration to obtain the total wind power that can be output by the wind farm within the target duration, the computer device can execute Figure 2Flowchart of a method for adjusting the power of a wind farm, which can be executed by a computer device, such as Figure 2 As shown, the method for adjusting the power of the wind farm provided in this embodiment includes the following steps:
[0064] Step 210: For each time period in the target duration, calculate the absolute value of the difference between the total wind power that the wind farm can output during this time period and the grid load demand during this time period, to obtain the power adjustment amount of the wind farm for this time period.
[0065] In the embodiment of the present disclosure, after obtaining the total wind power that the wind farm can output within the target duration, the computer device can calculate, for each time period in the target duration, the absolute value of the difference between the total wind power that the wind farm can output during this time period and the grid load demand during this time period, to obtain the power adjustment amount of the wind farm for this time period.
[0066] The grid load demand can be understood as the electrical energy power required by the grid.
[0067] Step 220: Sum up the power adjustment amounts corresponding to each time period in the target duration to obtain the total power adjustment amount of the wind farm within the target duration.
[0068] Step 230: With the goal that the total power adjustment amount is less than or equal to a preset threshold, adjust the working states of each wind turbine in the wind farm to obtain the target output power of the wind farm within the target duration, and the absolute value of the difference between the target output power and the total grid load demand within the target duration is less than or equal to the preset threshold.
[0069] In the embodiment of the present disclosure, the computer device can adjust the working states of each wind turbine in the wind farm with the goal of minimizing the total power adjustment amount of the wind farm within the target duration and with the goal that the total power adjustment amount is less than or equal to the preset threshold, to obtain the target output power of the wind farm within the target duration, and the absolute value of the difference between the target output power and the total grid load demand within the target duration is less than or equal to the preset threshold.
[0070] For example, adjusting the working states of each wind turbine in the wind farm may include adjusting the output power and start-stop states of each wind turbine in the wind farm, etc.
[0071] The preset threshold can be set as needed, for example, 0, which is not limited here.
[0072] For example, the total power adjustment amount of the wind farm within the target duration being less than or equal to the preset threshold can be represented by formula (3):
[0073]
[0074] Wherein, i represents the i-th time period in the target duration; N represents the N time periods included in the target duration; P(i) represents the total wind power that can be output by the wind farm in the i-th time period; P demand (i) represents the grid load demand in the i-th time period; B represents a preset threshold value.
[0075] Thus, after the total wind power that can be output by the wind farm can be evaluated, through the relationship between the total wind power that can be output by the wind farm and the grid load demand, the operating state of the wind turbines in the wind farm can be adjusted in a timely manner, so that the power generation capacity of the wind farm meets the grid load demand, achieving a balance between the power generation capacity of the wind farm and the grid load demand, improving the power generation efficiency of the wind farm, meeting the real-time demand of the grid, and ensuring the stable operation of the power system.
[0076] Figure 3 is a schematic structural diagram of an evaluation device for wind energy resources of a wind farm provided by an embodiment of the present disclosure. This device can be understood as the above computer device or some functional modules in the above computer device. As Figure 3 shown, the evaluation device 300 for wind energy resources of the wind farm includes:
[0077] An acquisition module 310, configured to acquire the predicted temperature and predicted wind speed of the wind farm in each time period included in the target duration;
[0078] A first calculation module 320, configured to calculate, for each time period in the target duration, the difference between the predicted temperature of the time period and the standard temperature corresponding to the wind farm in the time period, to obtain the target temperature difference of the time period;
[0079] A determination module 330, configured to determine the target wind speed of the time period under the influence of the target temperature difference based on the target temperature difference and the predicted wind speed of the time period;
[0080] A second calculation module 340, configured to calculate the wind power that can be output by the wind farm in the time period under the action of the target wind speed;
[0081] A first summation module 350, configured to sum the wind powers that can be output in each time period in the target duration, to obtain the total wind power that can be output by the wind farm within the target duration.
[0082] Optionally, the above acquisition module includes:
[0083] A first acquisition sub-module, configured to acquire the meteorological prediction data of the wind farm within the target duration;
[0084] A second acquisition sub-module, configured to acquire the predicted temperature and predicted wind speed of the wind farm in each time period included in the target duration from the meteorological prediction data.
[0085] Optionally, the above determination module includes:
[0086] V t = V 0 (1 + aΔT);
[0087] Wherein, Vt represents the target wind speed of the time period; V0 represents the predicted wind speed of the time period; a represents the sensitivity coefficient of the wind speed to the temperature change; △T represents the target temperature difference of the time period.
[0088] Optionally, the above second calculation module includes:
[0089] A first calculation sub-module, configured to calculate the instantaneous wind power output by the wind farm per unit time based on the swept area of the wind turbines in the wind farm, the target wind speed, and the air density;
[0090] A second calculation sub-module, configured to calculate the product of the instantaneous wind power and the duration of the time period to obtain the wind power output by the wind farm under the action of the target wind speed during the time period.
[0091] Optionally, the above first calculation sub-module includes:
[0092]
[0093] Wherein, P wind represents the instantaneous wind power output by the wind farm per unit time; ρ represents the air density; A represents the swept area of the wind turbines in the wind farm; V t represents the target wind speed.
[0094] Optionally, the above evaluation device for the wind energy resources of the wind farm includes:
[0095] A third calculation module, configured to calculate, for each time period in the target duration, the absolute value of the difference between the total wind power output by the wind farm during the time period and the grid load demand of the time period, to obtain the power adjustment amount of the wind farm during the time period;
[0096] A second summation module, configured to sum the power adjustment amounts corresponding to each time period in the target duration to obtain the total power adjustment amount of the wind farm within the target duration;
[0097] An adjustment module, configured to adjust the working states of the wind turbines in the wind farm with the goal that the total power adjustment amount is less than or equal to a preset threshold, to obtain the target output power of the wind farm within the target duration, and the absolute value of the difference between the target output power and the total grid load demand within the target duration is less than or equal to the preset threshold.
[0098] Optionally, the above adjustment module includes:
[0099]
[0100] Among them, i represents the i-th time period in the target duration; N represents the N time periods included in the target duration; P(i) represents the total wind power that can be output by the wind farm within the i-th time period; P demand (i) represents the grid load demand in the i-th time period; B represents a preset threshold.
[0101] The evaluation device for wind energy resources of the wind farm provided by the embodiments of the present disclosure can implement the method of any of the above embodiments, and its implementation manner and beneficial effects are similar, which will not be elaborated here.
[0102] The embodiments of the present disclosure further provide a computer device, which includes a processor and a memory. Among them, a computer program is stored in the memory. When the computer program is executed by the processor, the method of any of the above embodiments can be implemented, and its implementation manner and beneficial effects are similar, which will not be elaborated here.
[0103] The computer device in the embodiments of the present disclosure can be understood as any device with processing and computing capabilities. This device may include, but is not limited to, mobile terminals such as smart phones, laptop computers, personal digital assistants (PDAs), tablet computers (PADs), portable multimedia players (PMPs), vehicle terminals (such as in-vehicle navigation terminals), wearable devices, etc., and fixed electronic devices such as digital TVs, desktop computers, and smart home devices.
[0104] Figure 4 is a schematic structural diagram of a computer device provided by the embodiments of the present disclosure. As Figure 4 shown, the computer device 400 may include a processor 410 and a memory 420. Among them, a computer program 421 is stored in the memory 420. When the computer program 421 is executed by the processor 410, the method provided by any of the above embodiments can be implemented, and its implementation manner and beneficial effects are similar, which will not be elaborated here.
[0105] Of course, for simplicity, Figure 4 only some of the components related to the present invention in the computer device 400 are shown in
[0106] The embodiments of the present disclosure provide a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method of any of the above embodiments can be implemented, and its implementation manner and beneficial effects are similar, which will not be elaborated here.
[0107] The above computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.
[0108] The above computer program may be written in any combination of one or more programming languages for executing the program code of the operations of the embodiments of the present disclosure. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer device, partially on the user device, executed as an independent software package, partially on the user's computer device and partially on a remote computer device, or entirely on a remote computer device or server.
[0109] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.
[0110] In addition, although the operations are depicted in a specific order, this should not be construed as requiring that the operations be performed in the specific order shown or in a sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of a single embodiment may also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.
[0111] The above are only specific embodiments of the present disclosure, enabling those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments described herein, but rather will be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for evaluating wind energy resources in a wind farm, characterized in that: include: Obtain the predicted temperature and wind speed of the wind farm in each time period included in the target time; For each time period in the target duration, calculating the difference between the predicted temperature of the time period and the standard temperature corresponding to the wind farm in the time period, to obtain the target temperature difference of the time period; Based on the target temperature difference and the predicted wind speed for the time period, determining the target wind speed for the time period under the influence of the target temperature difference by the predicted wind speed; Calculating the wind power that can be output by the wind farm under the target wind speed during the time period; The wind power that can be output in each time period in the target duration is summed up to obtain the total wind power that can be output by the wind farm in the target duration.
2. The method according to claim 1, characterized in that The step of obtaining the predicted temperature and wind speed of the wind farm in each time period included in the target time period includes: Obtaining weather forecast data for wind farms within the target time period; The predicted temperature and wind speed of the wind farm in each time period included in the target time period are obtained from the meteorological forecast data.
3. The method according to claim 1, characterized in that The step of determining the target wind speed for the period of time under the influence of the target temperature difference based on the target temperature difference for the period of time and the predicted wind speed comprises: IN t =V0(1+aΔT); Among them, V t represents the target wind speed for the period; V0 represents the predicted wind speed for the period; a represents the sensitivity coefficient of wind speed to temperature changes; △T represents the target temperature difference for the period.
4. The method according to claim 1, characterized in that: The calculating the wind power that can be output by the wind farm under the target wind speed during the time period includes: Calculating the instantaneous wind power that can be output by the wind farm per unit time based on the wind turbine swept area in the wind farm, the target wind speed and the air density; The product of the instantaneous wind power and the duration of the time period is calculated to obtain the wind power that can be output by the wind farm under the target wind speed during the time period.
5. The method according to claim 4, characterized in that The calculating the instantaneous wind power outputtable by the wind farm per unit time based on the wind turbine swept area in the wind farm, the target wind speed and the air density comprises: Among them, P wind represents the instantaneous wind power that can be output by the wind farm per unit time; ρ represents the air density; A represents the wind sweeping area of the wind turbine in the wind farm; V t Indicates the target wind speed.
6. The method according to claim 1, characterized in that After summing the wind power that can be output in each time period of the target duration to obtain the total wind power that can be output by the wind farm within the target duration, the method further includes: For each time period in the target duration, calculating the absolute value of the difference between the total wind power that can be output by the wind farm in the time period and the grid load demand in the time period, and obtaining the power adjustment amount of the wind farm in the time period; Summing the power adjustment amounts corresponding to each time period in the target duration to obtain a total power adjustment amount of the wind farm within the target duration; With the total power adjustment amount being less than or equal to a preset threshold as the goal, the working state of each wind turbine in the wind farm is adjusted to obtain the target output power of the wind farm within the target time length, and the absolute value of the difference between the target output power and the total load demand of the power grid within the target time length is less than or equal to the preset threshold.
7. The method according to claim 6, characterized in that The goal of taking the total power adjustment amount less than or equal to a preset threshold value includes: Where i represents the i-th period in the target duration; N represents the N periods included in the target duration; P(i) represents the total wind power that can be output by the wind farm in the i-th period; P demand (i) represents the grid load demand in the i-th period; B represents the preset threshold.
8. A wind energy resource assessment device for a wind farm, characterized in that: include: An acquisition module is used to obtain the predicted temperature and wind speed of the wind farm in each time period included in the target time length; A first calculation module is used to calculate, for each time period in the target duration, the difference between the predicted temperature of the time period and the standard temperature corresponding to the wind farm in the time period, so as to obtain a target temperature difference for the time period; A determination module, configured to determine, based on the target temperature difference and the predicted wind speed for the time period, the target wind speed for the time period under the influence of the target temperature difference; A second calculation module is used to calculate the wind power that can be output by the wind farm under the target wind speed during the time period; The first summing module is used to sum the wind power that can be output in each time period in the target duration to obtain the total wind power that can be output by the wind farm in the target duration.
9. A computer device, characterized in that: include: A memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method for evaluating wind energy resources in a wind farm as described in any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method for evaluating wind energy resources in a wind farm according to any one of claims 1 to 7 is implemented.