Method and system for calculating wind power density of a site

Abstract

The application provides a base wind power density calculation method and system, the method comprising: dividing a target area into multiple grids according to different geographic information, and determining the longitude and latitude information of each grid; determining the target grid where the base is located according to the longitude and latitude information of the base to be studied and the longitude and latitude information of each grid; obtaining historical weather forecast information or real-time weather monitoring information of the target grid; obtaining wind speed time series data at the hub height of the wind turbine generator of the base, and temperature time series data and air pressure time series data of the target grid from the historical weather forecast information or the real-time weather monitoring information, and calculating the wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data. The method can accurately calculate the wind power density and the average wind power density of the base at each moment, and improve the accuracy of the base wind power density calculation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power density calculation, and particularly relates to a wind power density calculation method and system for a base. BACKGROUND

[0002] With the development of new energy technology, the popularity of wind power generation is gradually increasing. In actual wind power generation construction, in order to reduce costs and improve power generation quality, centralized and large-scale development of wind turbine generators is usually carried out, and wind turbine generator fields are constructed in a planned base.

[0003] Among them, the wind power density is an important parameter reflecting the size of the wind energy of the environment where the base is located, and needs to be considered in the base planning and application process.

[0004] In related technologies, when determining the wind power density of the base, the wind power density is generally roughly estimated according to existing inaccurate wind speed data and other meteorological data. However, the result of the wind power density obtained by the above method has a large deviation, and cannot meet the demand of high-quality wind power generation. Therefore, how to more accurately obtain the wind power density of the base has become a problem to be solved at present. SUMMARY

[0005] The present application aims to at least solve one of the technical problems in the related art to some extent.

[0006] To this end, the first purpose of the present application is to propose a wind power density calculation method for a base. The method calculates the wind power density of the base through the wind power density of the grid to which the base belongs by means of grid division, can accurately calculate the wind power density of the base, and improves the accuracy of the wind power density calculation of the base.

[0007] The second purpose of the present application is to propose a wind power density calculation system for a base.

[0008] The third purpose of the present application is to propose a non-transitory computer readable storage medium.

[0009] To achieve the above purpose, the first aspect embodiment of the present application proposes a wind power density calculation method for a base, comprising the following steps:

[0010] Divide a target region into a plurality of grids according to different geographic information, and determine the longitude and latitude information of each grid;

[0011] According to the longitude and latitude information of the base to be studied and the longitude and latitude information of each grid, determine the target grid where the base is located;

[0012] Obtain historical meteorological forecast information or real-time meteorological monitoring information of the target grid;

[0013] The wind speed time series data at the hub height of the wind turbine at the base, as well as the temperature time series data and air pressure time series data of the target grid, are obtained from the historical weather forecast information or the real-time weather monitoring information. The wind power density of the base is calculated based on the wind speed time series data, the temperature time series data and the air pressure time series data.

[0014] Optionally, in one embodiment of this application, the step of calculating the wind power density of the base based on the wind speed time series data, the temperature time series data, and the air pressure time series data includes: calculating the air density at each moment based on the temperature and air pressure at each moment within a preset calculation period; calculating the wind power density at each moment based on the air density at each moment within the calculation period and the wind speed at the hub height of the wind turbine; adding the wind power densities at each moment within the calculation period, and dividing the sum by the number of moments within the calculation period to obtain the average wind power density of the base.

[0015] Optionally, in one embodiment of this application, the air density at any given time is calculated using the following formula:

[0016]

[0017] Where, ρ i Let ρ be the air density at time i, and ρ0 be the air density under standard atmospheric pressure, ρ0 = 1.29 kg / m³. 3 T i Let p be the temperature at time i. i Let be the air pressure at time i, where i is any time within the calculation period; calculate the wind power density at any given time using the following formula:

[0018]

[0019] Where, p i Let v be the wind power density at time i. i Let i be the wind speed at the hub height of the wind turbine at time i.

[0020] Optionally, in one embodiment of this application, when there are multiple target grids, the step of calculating the wind power density of the base based on the wind speed time-series data, the temperature time-series data, and the air pressure time-series data includes: calculating the average wind power density corresponding to each target grid based on the wind speed time-series data, the temperature time-series data, and the air pressure time-series data of each target grid; and calculating the average wind power density of the base based on the area occupied by the base in each target grid, the area of ​​the base, and the average wind power density corresponding to each target grid.

[0021] Optionally, in an embodiment of the present application, the average wind power density of the base is calculated by the following formula:

[0022]

[0023] wherein D represents the average wind power density of the base, S represents the area of the base, S n represents the area of the base in the nth target grid, D n represents the average wind power density corresponding to the nth target grid, and n is a positive integer.

[0024] Optionally, in an embodiment of the present application, the historical weather forecast information or real-time weather monitoring information of the target grid is obtained by judging whether a weather monitoring station is arranged in the target grid, obtaining the real-time weather monitoring information monitored by the weather monitoring station in the case that the weather monitoring station is arranged, and obtaining the historical weather forecast information of the target grid in a preset time period in the case that the weather monitoring station is not arranged.

[0025] Optionally, in an embodiment of the present application, the target area is divided into a plurality of grids according to a weather forecast information grid division mode.

[0026] To achieve the above purpose, a second aspect embodiment of the present application provides a wind power density calculation system of a base, comprising the following modules:

[0027] A division module is configured to divide a target area into a plurality of grids according to different geographical information, and determine the longitude and latitude information of each grid;

[0028] A determination module is configured to determine a target grid in which a base to be studied is located according to the longitude and latitude information of the base and the longitude and latitude information of each grid;

[0029] An acquisition module is configured to acquire historical weather forecast information or real-time weather monitoring information of the target grid;

[0030] A calculation module is configured to acquire wind speed time series data at a hub height of a wind turbine generator of the base, and temperature time series data and air pressure time series data of the target grid from the historical weather forecast information or the real-time weather monitoring information, and calculate the wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data.

[0031] Optionally, in an embodiment of the present application, the computing module is specifically configured to: calculate the air density at each time point in a preset computing period according to the temperature and the air pressure at each time point in the computing period; calculate the wind power density at each time point in the computing period according to the air density at each time point in the computing period and the wind speed at the hub height of the wind turbine; add the wind power densities at each time point in the computing period, and divide the sum by the number of time points in the computing period to obtain the average wind power density of the base.

[0032] To achieve the above-mentioned embodiments, the third aspect of the present application further proposes a non-transitory computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the wind power density calculation method of the base in the above-mentioned embodiments.

[0033] The technical scheme provided by the embodiments of the present application at least brings the following beneficial effects: the present application first divides the geographic information into multiple grids; then determines the grid to which the base belongs; then obtains the historical weather forecast data or the meteorological station monitoring data of the grid to which the base belongs, and calculates the wind power density of the base according to the historical weather forecast data or the meteorological station monitoring data. Thus, by means of grid division, the present application can first obtain meteorological data with higher relevance to the base, and then calculate the wind power density of the base according to the wind power density of the grid to which the base belongs, so as to more specifically calculate the wind power density of the base according to the data with higher relevance, accurately calculate the wind power density and the average wind power density of the base at each time point, facilitate understanding of the wind power density of the base at each time point and as a whole, improve the accuracy and comprehensiveness of the calculation of the wind power density of the base, and be conducive to the reasonable control of wind power generation.

[0034] Additional aspects and advantages of the present application will be made apparent from the following description, which, taken together with the accompanying drawings, describes and illustrates embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0035] The above-mentioned and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments, taken together with the accompanying drawings, in which

[0036] Figure 1 A flowchart of a wind power density calculation method of a base according to an embodiment of the present application;

[0037] Figure 2 A flowchart of a specific wind power density calculation method of a base according to an embodiment of the present application;

[0038] Figure 3 A structural schematic diagram of a wind power density calculation system of a base according to an embodiment of the present application. DETAILED DESCRIPTION

[0039] Embodiments of the present application are described below in detail, examples of which are shown in the drawings, wherein the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by reference to the drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0040] A method and system for calculating the wind power density of a base are described below with reference to the accompanying drawings.

[0041] Figure 1 A flowchart of a method for calculating the wind power density of a base according to an embodiment of the present application is shown in FIG. 1, which includes the following steps: Figure 1 As shown, the method includes the following steps:

[0042] In step S101, the target area is divided into a plurality of grids according to different geographic information, and the latitude and longitude information of each grid is determined.

[0043] The target area refers to the area where the base to be calculated for wind power density is located. The geographic range of the target area can be wide, for example, the target area can be a city, a province, or a country, etc. In addition, the target area needs to be able to make weather forecasts, or a meteorological monitoring station is set up in the area.

[0044] Specifically, the present application divides the target area into grids to facilitate the division of geographic information of the target area. The target area is divided into a plurality of grids according to spatial geographic distribution, so as to subsequently calculate the wind power density of the grid to which the base belongs more specifically.

[0045] As a possible implementation manner, the target area is divided into a plurality of grids, including dividing the target area into a plurality of grids of the same size according to the meteorological forecast information grid division manner. Specifically, since at present when making weather forecasts, the area to be predicted is divided into a plurality of grids, and weather forecasting is performed for each grid to achieve accurate grid weather forecasting. Therefore, the present application can divide the grid according to the weather forecast information grid division manner, for example, the target area can be divided into a large number of grids of the same length and width according to a 3km*3km or 9km*9km manner, and the actual remaining area less than one grid can be completed. That is, the grid can be divided by means of the existing weather forecast information grid division manner.

[0046] Further, the latitude and longitude information of each grid is determined. In an embodiment of the present application, the position coordinates of the four corners of each grid can be determined in combination with a geographic information system and a global positioning system, etc., so as to determine the latitude and longitude information of each edge in the grid, and further determine the latitude and longitude range occupied by each grid.

[0047] In step S102, the target grid where the base is located is determined according to the longitude and latitude information of the base to be studied and the longitude and latitude information of each grid.

[0048] The base to be studied can be a base including multiple wind turbine generator set stations.

[0049] Specifically, the longitude and latitude range of the target base to be studied is compared with the longitude and latitude range of each grid divided, and the grid where the base belongs is determined, that is, the target grid for subsequent wind speed calculation is determined. For example, when the longitude and latitude range of the base is within the longitude and latitude range of a certain grid, the grid is determined as the target grid.

[0050] In step S103, the historical weather forecast information or real-time weather monitoring information of the target grid is obtained.

[0051] Specifically, the wind power density of the base can be calculated according to the historical weather forecast information or real-time weather monitoring information of the target grid. The historical weather forecast information includes the wind speed, wind direction, temperature, air pressure and weather condition of the target grid in a previous period of time, and the real-time weather monitoring information is the current period of time of the meteorological information monitored by the meteorological station, including various meteorological information in the above weather forecast information. Therefore, the historical weather forecast information or real-time weather monitoring information is obtained.

[0052] It can be understood that the accuracy and timeliness of the real-time monitoring meteorological information are higher than those of the predicted meteorological information. Therefore, in an embodiment of the present application, the historical weather forecast information or real-time weather monitoring information of the target grid is obtained, including the following steps: first, it is judged whether a meteorological monitoring station is set in the target grid, and in the case that the meteorological monitoring station is set, the real-time weather monitoring information monitored by the meteorological monitoring station is obtained; in the case that the meteorological monitoring station is not set, the historical weather forecast information of the target grid in a preset period of time is obtained.

[0053] Specifically, if the target grid is provided with a meteorological monitoring station or other facilities capable of detecting meteorological information, real-time monitoring wind speed, temperature and air pressure and other meteorological monitoring information are obtained through the meteorological monitoring station, and if the target grid is not provided with a meteorological monitoring station capable of monitoring wind speed in real time, the predicted meteorological information of the target grid is used. The preset period of time corresponding to the obtained historical weather forecast information is determined according to the wind speed calculation requirement, for example, at least one year of historical weather forecast information in the grid is obtained. It can be understood that, since the current weather forecast technology basically covers all regions of the world, the predicted meteorological information can be used to ensure the applicability and practicability of the wind power density calculation method of the present application, and the wind power density can be calculated under different conditions.

[0054] In an embodiment of the present application, when the historical meteorological forecast information is acquired, the historical data stored in the weather forecast center system database can be called. To further improve the accuracy of the wind power density calculation based on the historical meteorological forecast information, when the grid division is performed in step S101, a target region with a smaller regional range can be selected for grid division.

[0055] For example, it can be understood that for a certain grid, the weather forecast information of the city where the grid is located can be more accurate and specific than the forecast information of the country, and therefore, in the case where the weather forecast information of the city where the grid is located can be acquired, the city can be selected for grid division, etc.

[0056] In step S104, the wind speed time series data at the hub height of the wind turbine generator of the base, and the temperature time series data and the air pressure time series data of the target grid are acquired from the historical meteorological forecast information or the real-time meteorological monitoring information, and the wind power density of the base is calculated according to the wind speed time series data, the temperature time series data and the air pressure time series data.

[0057] Specifically, the wind power density of the base is calculated by the wind power density of the grid to which the base belongs, i.e. the wind power density of the base is calculated according to the acquired meteorological information of the belonging grid. In the calculation process, the time series wind speed sequence data at the hub height of the wind turbine generator is extracted from the acquired meteorological information in combination with the characteristics of the wind turbine generator in the base affected by the environmental wind speed, and the temperature time series data and the air pressure time series data corresponding to the target grid are acquired, so as to calculate the wind power density at different time and the average wind power density in a period of time.

[0058] Among them, the time series data such as wind speed time series data, temperature time series data and air pressure time series data refers to the data recorded at different time in chronological order, so that each data in each type of time series data corresponds to a time, forming a data sequence corresponding to time.

[0059] It can be understood that the wind turbine generator includes various devices such as wind wheel, generator and tower, and the wind wheel includes various components such as blade, hub and reinforcing member, and in the process of wind power generation, the blade rotates to generate electricity mainly under the influence of the wind speed in the approximate range at the hub height of the wind wheel, therefore, the time series wind speed sequence data at the hub height of the wind turbine generator is used to calculate the wind power density in the present application, to improve the practicality of the calculated wind power density.

[0060] In one embodiment of this application, the wind power density of the base is calculated based on wind speed time-series data, temperature time-series data, and air pressure time-series data, including the following steps: First, the air density at each moment is calculated based on the temperature and air pressure at each moment within a preset calculation period. Then, the wind power density at each moment is calculated based on the air density at each moment within the calculation period and the wind speed at the hub height of the wind turbine. Finally, the wind power densities at each moment within the calculation period are added together, and the sum is divided by the number of moments within the calculation period to obtain the average wind power density of the base.

[0061] That is, first calculate the air density at any given moment using the following formula:

[0062]

[0063] Where, ρ i Let ρ be the air density at time i, and ρ0 be the air density under standard atmospheric pressure, ρ0 = 1.29 kg / m³. 3 T i Let p be the temperature at time i. i Let be the air pressure at time i, where i is any time within the calculation period.

[0064] The wind power density at any given moment can then be calculated using the following formula:

[0065]

[0066] Where, p i Let v be the wind power density at time i. i Let i be the wind speed at the hub height of the wind turbine at time i.

[0067] Then, the average wind power density is calculated using the following formula:

[0068]

[0069] Where n is the number of moments within the calculation period, i.e., the number of points.

[0070] The calculation cycle is determined based on the required computational accuracy and the type of meteorological information acquired in the actual application. For example, the calculation cycle for real-time meteorological monitoring information can be shorter than the calculation cycle for wind speed based on historical meteorological forecast information, in order to reflect the timeliness of the calculation.

[0071] It can be understood that in actual application, after the target area is divided into multiple grids, the location of the base may be between multiple grids, that is, different grids involve a part of the base range. Therefore, in order to realize the wind power density calculation of the base when the target grid where the base is located is multiple, in an embodiment of the present application, the wind power density of the base is calculated according to the wind speed time series data, the temperature time series data and the air pressure time series data in the case that the target grid is multiple, including the following steps: first, the average wind power density corresponding to each target grid is calculated according to the time series data, the temperature time series data and the air pressure time series data of each target grid, and the specific calculation steps are as described in the above embodiment, which will not be repeated here. Then, the average wind power density of the base is calculated according to the area of the base in each target grid, the area of the base and the average wind power density corresponding to each target grid.

[0072] Specifically, in the case that the target grid is multiple, the average wind power density of the base can be calculated by the following formula:

[0073]

[0074] Wherein, D represents the average wind power density of the base, S represents the area of the base, S n represents the area of the base in the nth target grid, D n represents the average wind power density corresponding to the nth target grid, and n is a positive integer.

[0075] For example, the base belongs to three grids, and the total area is S, wherein the area belonging to grid one is S1, the area belonging to grid two is S2, and the area belonging to grid three is S3; then the final average wind power density of the base is calculated as:

[0076]

[0077] Wherein, D1 is the wind power density of grid one, D2 is the wind power density of grid two, and D3 is the wind power density of grid three.

[0078] Therefore, by the grid division method, the wind power density of the base is calculated by the wind power density of the grid to which the base belongs, so that the wind power density of the base at each time and the overall average wind power density in a period of time can be accurately calculated, and the accuracy of the wind power density calculation of the base is improved.

[0079] In summary, the wind power density calculation method of the base in the embodiment of the application first divides the geographic information into multiple grids, then determines the grid to which the base belongs, then acquires the historical weather forecast data or the meteorological station monitoring data of the grid to which the base belongs, and calculates the wind power density of the base according to the historical weather forecast data or the meteorological station monitoring data. Thus, the method can first acquire meteorological data with higher relevance to the base through the grid division manner, then calculate the wind power density of the base according to the acquired data through the wind power density of the grid to which the base belongs, so as to calculate the wind power density of the base more specifically according to the data with higher relevance, and accurately calculate the wind power density and the average wind power density of the base at each time, which is convenient for understanding the wind power density of the base at each time and as a whole, improves the accuracy and comprehensiveness of the calculation of the wind power density of the base, and is beneficial to the reasonable control of wind power generation.

[0080] Based on the above embodiment, in order to more clearly describe the specific implementation process of the wind power density calculation method of the base of the application, a specific calculation method is exemplarily described in combination with one specific calculation method in one embodiment of the application. Figure 2 A flowchart of a specific wind power density calculation method of a base according to the embodiment of the application.

[0081] As shown in Figure 2 , the method comprises the following steps:

[0082] Step S201, divide the grid area.

[0083] Specifically, according to the weather forecast information grid division manner and the coverage of the meteorological monitoring station, the geographic information of the whole country is divided into an infinite number of grids.

[0084] Step S202, determine the grid to which the base belongs.

[0085] Specifically, the grid to which the base belongs is determined according to the coordinate range of the base.

[0086] Step S203, acquire the meteorological information of the grid to which the base belongs.

[0087] Specifically, the historical weather forecast data and the meteorological station monitoring data of the grid are acquired, and the data acquired include the wind speed at each height in the grid, and the temperature and air pressure data.

[0088] Step S204, calculate the wind power density of the base.

[0089] Specifically, the wind power density of the base at each time and the average wind power density of the base as a whole in a period of time are calculated according to the historical weather forecast data and the meteorological station monitoring data.

[0090] It should be noted that the specific implementation of each of the above steps can refer to the related description in the above embodiments, which will not be repeated here.

[0091] To achieve the above embodiments, the application further provides a base wind power density calculation system. Figure 3 A base wind power density calculation system structure diagram is provided for the embodiments of the application.

[0092] As Figure 3 shown, the system includes a division module 100, a determination module 200, an acquisition module 300 and a calculation module 400.

[0093] The division module 100 is used to divide the target area into a plurality of grids according to the different geographical information, and determine the longitude and latitude information of each grid.

[0094] The determination module 200 is used to determine the target grid where the base is located according to the longitude and latitude information of the base to be studied and the longitude and latitude information of each grid.

[0095] The acquisition module 300 is used to acquire the historical weather forecast information or real-time weather monitoring information of the target grid.

[0096] The calculation module 400 is used to acquire the wind speed time series data of the hub height of the wind turbine generator of the base, and the temperature time series data and the air pressure time series data of the target grid from the historical weather forecast information or real-time weather monitoring information, and calculate the wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data.

[0097] Optionally, in an embodiment of the application, the calculation module 400 is specifically configured to: calculate the air density at each time according to the temperature and the air pressure at each time in a preset calculation period; calculate the wind power density at each time according to the air density at each time in the calculation period and the wind speed at the hub height of the wind turbine generator; add the wind power density at each time in the calculation period, and divide the sum by the number of times in the calculation period to obtain the average wind power density of the base.

[0098] Optionally, in an embodiment of the application, the calculation module 400 is specifically configured to calculate the air density at any time by the following formula:

[0099]

[0100] Wherein, ρ i is the air density at time i, ρ0 is the air density under standard atmospheric pressure, ρ0 = 1.29 kg / m 3 , T i is the temperature at time i, p iPi is the air pressure at time i, i is any time within the calculation period;

[0101] The wind power density at any time is calculated by the following formula:

[0102]

[0103] Wherein, p i Pi is the wind power density at time i, vi is the wind speed at the hub height of the wind turbine at time i. i

[0104] Optionally, in an embodiment of the present application, when the target grid is multiple, the computing module 400 is further configured to: calculate the average wind power density corresponding to each target grid according to the wind speed time series data, the temperature time series data and the air pressure time series data of each target grid; and calculate the average wind power density of the base according to the area of the base in each target grid, the area of the base and the average wind power density corresponding to each target grid.

[0105] Optionally, in an embodiment of the present application, the computing module 400 is specifically configured to calculate the average wind power density of the base by the following formula:

[0106]

[0107] Wherein, D represents the average wind power density of the base, S represents the area of the base, S n represents the area of the base in the nth target grid, D n represents the average wind power density corresponding to the nth target grid, and n is a positive integer.

[0108] Optionally, in an embodiment of the present application, the acquiring module 300 is specifically configured to: determine whether a meteorological monitoring station is arranged in the target grid; acquire real-time meteorological monitoring information monitored by the meteorological monitoring station in the case that the meteorological monitoring station is arranged; and acquire historical meteorological forecast information of the target grid within a preset time period in the case that the meteorological monitoring station is not arranged.

[0109] Optionally, in an embodiment of the present application, the dividing module 100 is specifically configured to: divide the target area into multiple grids with the same size according to a meteorological forecast information grid division mode.

[0110] It should be noted that the foregoing description of the embodiment of the method for calculating the wind power density of the base is also applicable to the system of the present embodiment, and the implementation principle is the same, which will not be described here again.

[0111] ​In summary, the wind power density calculation system of the base according to the embodiments of the present application first divides the geographic information into multiple grids, then determines the grid to which the base belongs, then acquires the historical weather forecast data or the meteorological station monitoring data of the grid to which the base belongs, and calculates the wind power density of the base according to the historical weather forecast data or the meteorological station monitoring data. Thus, the system can first acquire the meteorological data with higher correlation with the base through the grid division, then calculate the wind power density of the base according to the acquired data through the wind power density of the grid to which the base belongs, so as to calculate the wind power density of the base more specifically according to the data with higher correlation, and accurately calculate the wind power density and the average wind power density of the base at each time, so as to facilitate understanding of the wind power density of the base at each time and as a whole, improve the accuracy and comprehensiveness of the calculation of the wind power density of the base, and be beneficial to the reasonable control of the wind power generation.

[0112] In order to realize the above-mentioned embodiments, the present application further provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the wind power density calculation method of the base according to the first aspect of the present application.

[0113] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, if the illustrative description of the above-mentioned terms is used in multiple embodiments or examples, it does not mean that the embodiments or examples are the same. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples without contradiction.

[0114] In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "multiple" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0115] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0116] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0117] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0118] Those skilled in the art of the present technology can understand that all or part of the steps carried out by the above-mentioned embodiment method can be completed by programs instructing related hardware, and the programs can be stored in a computer readable storage medium. When the program is executed, it includes one of the steps of the method embodiment or a combination thereof.

[0119] In addition, each functional unit in each embodiment of the present application can be integrated into one processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The integrated module can be realized in the form of hardware or in the form of a software functional module. When the integrated module is realized in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0120] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and cannot be understood as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above-mentioned embodiments within the scope of the present application.

Claims

1. A method of calculating a wind power density at a site, characterized by, The method comprises the following steps: dividing a target area into a plurality of grids according to different geographical information and determining longitude and latitude information of each grid; determining a target grid in which a base to be studied is located according to the longitude and latitude information of the base and the longitude and latitude information of each grid; obtaining historical weather forecast information or real-time weather monitoring information of the target grid; obtaining wind speed time series data of a hub height of a wind turbine of the base, temperature time series data and air pressure time series data of the target grid from the historical weather forecast information or the real-time weather monitoring information, and calculating a wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data, wherein the calculation of the wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data comprises: calculating air density at each time point in a preset calculation period according to temperature and air pressure at the time point; calculating wind power density at each time point in the calculation period according to the air density at the time point and wind speed at the hub height of the wind turbine; adding the wind power density at each time point in the calculation period, and dividing the sum by the number of time points in the calculation period to obtain an average wind power density of the base; in the case where the target grid is a plurality of target grids, the calculation of the wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data comprises: calculating an average wind power density corresponding to each target grid according to the wind speed time series data, the temperature time series data and the air pressure time series data of the target grid; and calculating the average wind power density of the base according to an area of the base in each target grid, an area of the base and the average wind power density corresponding to each target grid.

2. The method of claim 1, wherein, The air density at any time point is calculated by the following formula: wherein is i the air density at the moment, is the air density at standard atmospheric pressure, = 1.29 kg / m 3 , is i the temperature at the moment, is i the air pressure at the moment, i is any moment within the calculation period; The wind power density at any time point is calculated by the following formula: wherein is i the wind power density at the time instant, is i the wind speed at the hub height of the wind turbine at the time instant.

3. The method of claim 1, wherein, The average wind power density of the base is calculated by the following formula: wherein, represents the average wind power density of the site, represents the area of the site, represents the area of the site in the nth target grid, represents the average wind power density corresponding to the nth target grid, n being a positive integer.

4. The method of claim 1, wherein, The obtaining of the historical weather forecast information or the real-time weather monitoring information of the target grid comprises: judging whether a weather monitoring station is arranged in the target grid; in the case where the weather monitoring station is arranged, obtaining the real-time weather monitoring information monitored by the weather monitoring station; in the case where the weather monitoring station is not arranged, obtaining the historical weather forecast information of the target grid in a preset time period.

5. The method of claim 1, wherein, The dividing of the target area into a plurality of grids comprises: dividing the target area into a plurality of grids with the same size according to a weather forecast information grid division mode.

6. A ground-based wind power density calculation system, characterized by The method comprises the following modules: a dividing module configured to divide a target area into a plurality of grids according to different geographical information and determine longitude and latitude information of each grid; a determining module configured to determine a target grid in which a base to be studied is located according to the longitude and latitude information of the base and the longitude and latitude information of each grid; an obtaining module configured to obtain historical weather forecast information or real-time weather monitoring information of the target grid; The computing module is configured to obtain wind speed time series data at a hub height of a wind turbine of the base, temperature time series data and air pressure time series data of the target grid from the historical meteorological forecast information or the real-time meteorological monitoring information, and calculate a wind power density of the base according to the wind speed time series data, the temperature time series data and the air pressure time series data. The computing module is specifically configured to: calculate air density at each time within a preset calculation period according to temperature and air pressure at the time; calculate wind power density at each time within the calculation period according to the air density at the time and wind speed at the hub height of the wind turbine; add the wind power density at each time within the calculation period, and divide the sum by the number of times within the calculation period to obtain an average wind power density of the base; and in a case where the target grid is multiple, the computing module is specifically configured to: calculate, according to the wind speed time series data, the temperature time series data and the air pressure time series data of each target grid, an average wind power density corresponding to each target grid, respectively. The average wind power density of the base is calculated according to an area of the base in each target grid, an area of the base and the average wind power density corresponding to each target grid.

7. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the method for calculating the wind power density of the base according to any one of claims 1-5.

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