A method and system for wind power heat energy conversion effect simulation

Abstract

The application discloses a kind of methods and systems for wind power heat energy conversion effect simulation, belong to wind power energy conversion technical field.The method of the application, comprising: determining the local climate mode and basic data of wind farm;Based on the local climate mode and basic data, and the conversion relationship of wind power energy and the principle of electric energy heat dissipation, establish the energy conversion model of wind power heat energy local and foreign place;In the local climate mode, the conversion effect of wind power heat energy of wind farm is simulated by energy conversion model.The energy conversion model of the application can effectively simulate the conversion effect of wind power heat energy of wind farm, is favorable to assess the local climate effect generated by large-scale wind power base in China, and it has important significance for sustainable development of wind power in China.

Description

Technical Field

[0001] This invention relates to the field of wind power energy conversion technology, and more specifically, to a method and system for simulating the thermal energy conversion effect of wind power. Background Technology

[0002] The large-scale development of wind farms will inevitably alter the surface environment and local climate conditions, such as surface roughness and atmospheric boundary layer turbulence. Current research indicates that the construction of wind farms has led to changes in local temperature, precipitation, and wind speed. As my country plans to build multiple large-scale clean energy power generation bases, including wind farms, researching and evaluating the local climate effects of wind farms is of significant environmental and economic importance, contributing to sustainable development under my country's "dual-carbon" policy.

[0003] However, whether large-scale wind power bases in my country will significantly impact local climate remains uncertain, lacking reliable research and monitoring results. Current research and monitoring findings are largely based on actual meteorological observations at wind farms, which are limited in quantity, short in timeframe, and of poor quality. For example, the Jiuquan-Guazhou large-scale wind power base in my country has only accumulated about 10 years of meteorological observation data, insufficient to analyze the effects of climate change on a multi-decade scale. Furthermore, due to the lack of regular calibration and maintenance of meteorological observation equipment at wind farms, data availability is less than 50%. In conclusion, current research and monitoring results are insufficient to support an assessment of the local climate effects of future large-scale wind power bases in my country.

[0004] Numerical simulation of local climate is another path to support the assessment of the local climate effects of wind power bases. Currently, some scholars have simulated the local climate effects of wind power bases on a scale of several decades based on local climate models (Hu Ju, Wang Shu. Research on the impact of large-scale wind power base in Jiuquan, Gansu on regional climate [J]. Global Energy Internet, 2018, 1(02): 120-128; Liang Hong, Wei Ke, Ma Jiao. Possible climate effects of large-scale solar and wind power plant construction in Northwest my country [J]. Climate and Environmental Research, 2021, 26(02): 123-141; Keith DW, Decarolis JF, Denkenberger DC, et al. The influence of large-scale wind power on global climate. Proceedings of the National Academy of Sciences, 2004, 101(46): 16115-16120.). Existing studies have mostly constructed local wind farm models based on local climate models such as RegCM and WRF, and then incorporated decades of background climate data for downscaling simulations. The core technology lies in mimicking the wind farm's obstruction effect by increasing the local surface roughness of the wind farm.

[0005] However, the above simulation methods have certain problems: they only simulate the wind speed attenuation process by increasing surface roughness, but cannot simulate the process of wind energy being converted into electrical energy (which also leads to wind speed attenuation), nor can they simulate the process of electrical energy being transmitted to other locations for consumption and converted into heat energy (which increases the amount of heat energy at those locations). In other words, current research and development results cannot simulate the wind energy-electricity-heat energy conversion effect of wind farms, which affects the assessment of the local climate effects of large-scale wind power bases. Summary of the Invention

[0006] To address the above problems, this invention proposes a method for simulating the thermal energy conversion effect of wind power, comprising:

[0007] Determine the local climate patterns and basic data for wind farms;

[0008] Based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of heat dissipation of electrical energy, local and off-site energy conversion models of wind power thermal energy are established.

[0009] Under the local climate model, the conversion effect of wind power thermal energy in wind farms is simulated using an energy conversion model.

[0010] Optionally, under the local climate model, the conversion effect of wind power thermal energy in a wind farm is simulated using an energy conversion model, including:

[0011] Under the local climate model, the energy conversion model is used to simulate the wind speed attenuation effect caused by the increase in wind farm roughness, and the conversion of wind energy in the wind farm into local thermal energy.

[0012] Under the local climate model, the conversion of wind energy into electricity from wind farms is simulated after deducting the wind energy used for power generation in wind farms.

[0013] Under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy in the wind farm.

[0014] Optionally, before simulating the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model, the following steps are included:

[0015] Under the local climate model, the spatial boundaries of wind farms and the spatial boundaries of off-site wind farm consumption areas are delineated, and the surface roughness within the spatial grid is modified to the actual roughness of the wind farm.

[0016] Optionally, under the local climate model, after deducting the wind energy used for power generation by the wind farm, the simulation of the conversion of wind energy into electricity from the wind farm includes:

[0017] The amount of wind energy converted into electrical energy in a wind farm is calculated using the following formula;

[0018]

[0019] Where N is the number of wind turbines in the wind farm, W e C represents the amount of wind energy converted into electrical energy in a wind farm. p Where R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, and i = 1 to N, v i Δt represents the wind speed at the wind farm and is a preset time period.

[0020] The amount of wind energy converted into electrical energy in the wind farm is deducted from the near-surface wind energy of the wind farm to determine the total remaining wind energy in the near-surface layer of the wind farm.

[0021] Based on the conversion of wind energy into electrical energy in a wind farm and the total remaining wind energy in the near-surface layer of the wind farm, the deduction ratio of the wind farm spatial boundary grid is determined, and the wind speed of the wind farm spatial boundary grid is adjusted according to the ratio to simulate the conversion of wind energy into electrical energy in the wind farm.

[0022] The formula for calculating the proportionality coefficient is as follows:

[0023]

[0024] in, C is a proportionality coefficient, where N is the number of wind turbines in the wind farm, and C is the number of wind turbines in the wind farm. p The power coefficient of the wind turbines in the wind farm;

[0025] R is the radius of the wind turbine rotor in the wind farm, ρ is the air density, i = 1 to N, v i v represents the wind speed at the wind farm. j Let M be the wind speed on the spatial boundary grid, M be the number of spatial boundary grids of the wind farm, j = 1 to M, and A be the vertical cross-sectional area of ​​the wind farm near the ground.

[0026] Optionally, under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy from the wind farm, including:

[0027] The thermal power added to each grid in the spatial boundary grid of the off-site wind farm absorption area simulates the conversion of electrical energy into thermal energy from the wind farm; the calculation formula for the thermal power added to each grid in the spatial boundary grid is as follows:

[0028]

[0029] Where Δq is the heat power added to each grid, N is the number of wind turbines in the wind farm, and C p R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, i = 1 to N, v i B represents the wind speed of the wind farm, and B represents the number of spatial boundary grids in the off-site consumption area of ​​the wind farm.

[0030] This invention also proposes a system for simulating the thermal energy conversion effect of wind power, comprising:

[0031] Initial unit, used to determine the local climate pattern and basic data of the wind farm;

[0032] The model building unit, based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of electrical heat dissipation, establishes local and off-site energy conversion models of wind power thermal energy.

[0033] The conversion unit is used to simulate the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model.

[0034] Optionally, under the local climate model, the conversion unit simulates the conversion effect of wind power thermal energy in a wind farm using an energy conversion model, including:

[0035] Under the local climate model, the energy conversion model is used to simulate the wind speed attenuation effect caused by the increase in wind farm roughness, and the conversion of wind energy in the wind farm into local thermal energy.

[0036] Under the local climate model, the conversion of wind energy into electricity from wind farms is simulated after deducting the wind energy used for power generation in wind farms.

[0037] Under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy in the wind farm.

[0038] Optionally, before simulating the conversion effect of wind farm thermal energy through an energy conversion model under the local climate model, the conversion unit includes:

[0039] Under the local climate model, the spatial boundaries of wind farms and the spatial boundaries of off-site wind farm consumption areas are delineated, and the surface roughness within the spatial grid is modified to the actual roughness of the wind farm.

[0040] Optionally, under the local climate model, after deducting the wind energy used for power generation by the wind farm, the simulation of the conversion of wind energy into electricity from the wind farm includes:

[0041] The amount of wind energy converted into electrical energy in a wind farm is calculated using the following formula;

[0042]

[0043] Where N is the number of wind turbines in the wind farm, W e C represents the amount of wind energy converted into electrical energy in a wind farm. p R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, i = 1 to N, v i Δt represents the wind speed at the wind farm and is a preset time period.

[0044] The amount of wind energy converted into electrical energy in the wind farm is deducted from the near-surface wind energy of the wind farm to determine the total remaining wind energy in the near-surface layer of the wind farm.

[0045] Based on the conversion of wind energy into electrical energy in a wind farm and the total remaining wind energy in the near-surface layer of the wind farm, the deduction ratio of the wind farm spatial boundary grid is determined, and the wind speed of the wind farm spatial boundary grid is adjusted according to the ratio to simulate the conversion of wind energy into electrical energy in the wind farm.

[0046] The formula for calculating the proportionality coefficient is as follows:

[0047]

[0048] in, C is a proportionality coefficient, where N is the number of wind turbines in the wind farm, and C is the number of wind turbines in the wind farm. p The power coefficient of the wind turbines in the wind farm;

[0049] R is the radius of the wind turbine rotor in the wind farm, ρ is the air density, i = 1 to N, v i v represents the wind speed at the wind farm. jLet M be the wind speed on the spatial boundary grid, M be the number of spatial boundary grids of the wind farm, j = 1 to M, and A be the vertical cross-sectional area of ​​the wind farm near the ground.

[0050] Optionally, under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy from the wind farm, including:

[0051] The thermal power added to each grid in the spatial boundary grid of the off-site wind farm absorption area simulates the conversion of electrical energy into thermal energy from the wind farm; the calculation formula for the thermal power added to each grid in the spatial boundary grid is as follows:

[0052]

[0053] Where Δq is the heat power added to each grid, N is the number of wind turbines in the wind farm, and C p R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, i = 1 to N, v i B represents the wind speed of the wind farm, and B represents the number of spatial boundary grids in the off-site consumption area of ​​the wind farm.

[0054] In another aspect, the present invention also provides a computing device, comprising: one or more processors;

[0055] A processor is used to execute one or more programs;

[0056] When the one or more programs are executed by the one or more processors, the method described above is implemented.

[0057] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method described above.

[0058] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0059] This invention provides a method for simulating the thermal energy conversion effect of wind power, comprising: determining the local climate model and basic data of a wind farm; establishing local and off-site energy conversion models of wind power thermal energy based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of electrical energy heat dissipation; and simulating the conversion effect of wind power thermal energy in a wind farm under the local climate model. This invention can effectively simulate the conversion effect of wind power thermal energy in a wind farm through the energy conversion model, which is beneficial for assessing the local climate effects generated by large-scale wind power bases in my country and is of great significance for the sustainable development of wind power in my country. Attached Figure Description

[0060] Figure 1 This is a flowchart of the method of the present invention;

[0061] Figure 2 This is a structural diagram of the system of the present invention. Detailed Implementation

[0062] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0063] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0064] Example 1:

[0065] This invention proposes a method for simulating the thermal energy conversion effect of wind power, such as... Figure 1 As shown, it includes:

[0066] Step 1: Determine the local climate model and basic data for the wind farm;

[0067] Step 2: Based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of electrical heat dissipation, establish local and off-site energy conversion models for wind power thermal energy.

[0068] Step 3: Under the local climate model, the conversion effect of wind power thermal energy in the wind farm is simulated using an energy conversion model.

[0069] In the local climate model, the energy conversion effect of wind power thermal energy in wind farms is simulated using an energy conversion model, including:

[0070] Under the local climate model, the energy conversion model is used to simulate the wind speed attenuation effect caused by the increase in wind farm roughness, and the conversion of wind energy in the wind farm into local thermal energy.

[0071] Under the local climate model, the conversion of wind energy into electricity from wind farms is simulated after deducting the wind energy used for power generation in wind farms.

[0072] Under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy in the wind farm.

[0073] Among them, before simulating the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model, the following are included:

[0074] Under the local climate model, the spatial boundaries of wind farms and the spatial boundaries of off-site wind farm consumption areas are delineated, and the surface roughness within the spatial grid is modified to the actual roughness of the wind farm.

[0075] In the local climate model, after deducting the wind energy used for power generation by the wind farm, the simulation of the conversion of wind energy into electricity includes:

[0076] The amount of wind energy converted into electrical energy in a wind farm is calculated using the following formula;

[0077]

[0078] Where N is the number of wind turbines in the wind farm, W e C represents the amount of wind energy converted into electrical energy in a wind farm. p Where R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, and i = 1 to N, v i Δt represents the wind speed at the wind farm and is a preset time period.

[0079] Among them, W is determined e The calculation process is as follows:

[0080] First: Estimate the wind energy to electrical energy conversion of the wind farm: The i-th wind turbine (i = 1, 2, 3, ..., N) operates at a wind speed of v i Under these circumstances, the conversion power p(v) between wind energy and electrical energy i )for:

[0081]

[0082] Based on the above formula, the total wind energy to electrical energy conversion power of N wind turbines in the wind farm is determined as follows: During the time interval Δt, the electrical energy W converted from wind energy e for:

[0083]

[0084] p(v) i Substituting into the above formula, we can determine W. e .

[0085] The amount of wind energy converted into electrical energy in the wind farm is deducted from the near-surface wind energy of the wind farm to determine the total remaining wind energy in the near-surface layer of the wind farm.

[0086] Based on the conversion of wind energy into electrical energy in a wind farm and the total remaining wind energy in the near-surface layer of the wind farm, the deduction ratio of the wind farm spatial boundary grid is determined, and the wind speed of the wind farm spatial boundary grid is adjusted according to the ratio to simulate the conversion of wind energy into electrical energy in the wind farm.

[0087] The formula for calculating the proportionality coefficient is as follows:

[0088]

[0089] in, C is a proportionality coefficient, where N is the number of wind turbines in the wind farm, and C is the number of wind turbines in the wind farm. p The power coefficient of the wind turbines in the wind farm;

[0090] R is the radius of the wind turbine rotor in the wind farm, ρ is the air density, i = 1 to N, v i v represents the wind speed at the wind farm. j Let M be the wind speed on the spatial boundary grid, M be the number of spatial boundary grids of the wind farm, j = 1 to M, and A be the vertical cross-sectional area of ​​the wind farm near the ground.

[0091] The calculation process for the proportionality coefficient is as follows:

[0092] The wind energy to electricity conversion is subtracted from the near-surface wind energy of the wind farm: Let the number of simulation grids in the near-surface layer of the wind farm be M, and the wind speed in each grid be v. j (j=1,2,3,…,M), then the total wind energy W of the near-surface layer of the wind farm at time Δt. T for:

[0093]

[0094] Based on the above formula, ΔW is determined as follows:

[0095] ΔW=W T -W e

[0096] Assume that the same proportion of wind speed is subtracted from each simulation grid, and the wind speed after subtraction in each grid becomes v. j / k, the total wind energy ΔW of the wind farm near the ground layer after deduction is:

[0097]

[0098] Based on the above three formulas, the following can be determined:

[0099]

[0100] W T and W e Substituting into the following formula, we get the following:

[0101]

[0102] Solving the above system of equations will yield the mesh subtraction scaling factor;

[0103] The wind speed v at the grid points of the wind farm simulation j Adjust to v j / k means that the conversion of wind energy into electricity has been achieved.

[0104] In the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy from the wind farm, including:

[0105] The thermal power added to each grid in the spatial boundary grid of the off-site wind farm absorption area simulates the conversion of electrical energy into thermal energy from the wind farm; the calculation formula for the thermal power added to each grid in the spatial boundary grid is as follows:

[0106]

[0107] Where Δq is the heat power added to each grid, N is the number of wind turbines in the wind farm, and C p R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, i = 1 to N, v i B represents the wind speed of the wind farm, and B represents the number of spatial boundary grids in the off-site consumption area of ​​the wind farm.

[0108] The calculation process for Δq is as follows:

[0109] In a local climate model, a spatial boundary is delineated for off-site energy consumption. Let B be the total number of grids along this boundary, and W be the electrical energy generated by the wind farm. e It is consumed within the boundary of this space and becomes heat energy.

[0110] Characterizing the consumed thermal energy: Assume that each simulated grid consumes ΔqΔt of thermal energy (Δq is the thermal power) within a time interval Δt. Then, the total thermal energy consumed by all grids is ΔqΔtB. This portion of thermal energy must be combined with the electrical energy W generated by the wind farm. e Equal, that is:

[0111] ΔqΔtB=W e

[0112] Based on the above formula, we get:

[0113]

[0114] Solving the above equation yields the increase in thermal power for each grid within the absorption area.

[0115] Example 2:

[0116] This invention also proposes a system 200 for simulating the thermal energy conversion effect of wind power, such as... Figure 2 As shown, it includes:

[0117] Initial unit 201 is used to determine the local climate model and basic data of the wind farm;

[0118] Model building unit 202 establishes local and off-site energy conversion models of wind power thermal energy based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of electrical energy heat dissipation.

[0119] The conversion unit 203 is used to simulate the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model.

[0120] The conversion unit, under the local climate model, simulates the conversion effect of wind power thermal energy in a wind farm using an energy conversion model, including:

[0121] Under the local climate model, the energy conversion model is used to simulate the wind speed attenuation effect caused by the increase in wind farm roughness, and the conversion of wind energy in the wind farm into local thermal energy.

[0122] Under the local climate model, the conversion of wind energy into electricity from wind farms is simulated after deducting the wind energy used for power generation in wind farms.

[0123] Under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy in the wind farm.

[0124] The conversion unit, before simulating the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model, includes:

[0125] Under the local climate model, the spatial boundaries of wind farms and the spatial boundaries of off-site wind farm consumption areas are delineated, and the surface roughness within the spatial grid is modified to the actual roughness of the wind farm.

[0126] In the local climate model, after deducting the wind energy used for power generation by the wind farm, the simulation of the conversion of wind energy into electricity includes:

[0127] The amount of wind energy converted into electrical energy in a wind farm is calculated using the following formula;

[0128]

[0129] Where N is the number of wind turbines in the wind farm, W e C represents the amount of wind energy converted into electrical energy in a wind farm. p Where R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, and i = 1 to N, v iΔt represents the wind speed at the wind farm and is a preset time period.

[0130] The amount of wind energy converted into electrical energy in the wind farm is deducted from the near-surface wind energy of the wind farm to determine the total remaining wind energy in the near-surface layer of the wind farm.

[0131] Based on the conversion of wind energy into electrical energy in a wind farm and the total remaining wind energy in the near-surface layer of the wind farm, the deduction ratio of the wind farm spatial boundary grid is determined, and the wind speed of the wind farm spatial boundary grid is adjusted according to the ratio to simulate the conversion of wind energy into electrical energy in the wind farm.

[0132] The formula for calculating the proportionality coefficient is as follows:

[0133]

[0134] in, C is a proportionality coefficient, where N is the number of wind turbines in the wind farm, and C is the number of wind turbines in the wind farm. p The power coefficient of the wind turbines in the wind farm;

[0135] R is the radius of the wind turbine rotor in the wind farm, ρ is the air density, i = 1 to N, v i v represents the wind speed at the wind farm. j Let M be the wind speed on the spatial boundary grid, M be the number of spatial boundary grids of the wind farm, j = 1 to M, and A be the vertical cross-sectional area of ​​the wind farm near the ground.

[0136] In the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy from the wind farm, including:

[0137] The thermal power added to each grid in the spatial boundary grid of the off-site wind farm absorption area simulates the conversion of electrical energy into thermal energy from the wind farm; the calculation formula for the thermal power added to each grid in the spatial boundary grid is as follows:

[0138]

[0139] Where Δq is the heat power added to each grid, N is the number of wind turbines in the wind farm, and C p R is the power coefficient of the wind turbine in the wind farm, ρ is the air density, i = 1 to N, v i B represents the wind speed of the wind farm, and B represents the number of spatial boundary grids in the off-site consumption area of ​​the wind farm.

[0140] This invention can effectively simulate the conversion effect of wind power thermal energy in wind farms through an energy conversion model, which is helpful for assessing the local climate effects generated by large-scale wind power bases in my country and is of great significance for the sustainable development of wind power in my country.

[0141] Example 3:

[0142] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby implementing the steps of the methods in the above embodiments.

[0143] Example 4:

[0144] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiments.

[0145] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0146] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0147] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0148] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0149] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0150] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for simulating the thermal energy conversion effect of wind power, characterized in that, The method includes: Determine the local climate patterns and basic data for wind farms; Based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of heat dissipation of electrical energy, local and off-site energy conversion models of wind power thermal energy are established. Under the local climate model, the conversion effect of wind power thermal energy in wind farms is simulated using an energy conversion model; The simulation of the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model includes: Under the local climate model, the energy conversion model is used to simulate the wind speed attenuation effect caused by the increase in wind farm roughness, and the conversion of wind energy in the wind farm into local thermal energy. Under the local climate model, the conversion of wind energy into electricity from wind farms is simulated after deducting the wind energy used for power generation in wind farms. Under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy in the wind farm; Under the local climate model, after deducting the wind energy used for power generation by the wind farm, the simulation of the conversion of wind energy into electrical energy from the wind farm includes: The amount of wind energy converted into electrical energy in a wind farm is calculated using the following formula; in, This refers to the number of wind turbines in a wind farm. This represents the amount of wind energy converted into electrical energy in a wind farm. The power factor of the wind turbines in the wind farm. The radius of the wind turbine rotor in the wind farm. air density, , For the wind speed at the wind farm, For a preset time period; The amount of wind energy converted into electrical energy in the wind farm is deducted from the near-surface wind energy of the wind farm to determine the total remaining wind energy in the near-surface layer of the wind farm. Based on the conversion of wind energy into electrical energy in a wind farm and the total remaining wind energy in the near-surface layer of the wind farm, the deduction ratio of the wind farm spatial boundary grid is determined, and the wind speed of the wind farm spatial boundary grid is adjusted according to the ratio to simulate the conversion of wind energy into electrical energy in the wind farm. The formula for calculating the proportionality coefficient is as follows: in, This is the proportionality coefficient. This refers to the number of wind turbines in a wind farm. The power coefficient of the wind turbines in the wind farm; The radius of the wind turbine rotor in the wind farm. air density, , For the wind speed at the wind farm, The wind speed on the spatial boundary grid. The number of grid cells representing the spatial boundary of a wind farm. , The vertical cross-sectional area of ​​the near-surface layer of the wind farm; The method described above, under a local climate model, increases the heat power consumed by the wind farm in a different location to simulate the conversion of electrical energy into heat energy from the wind farm, including: The thermal power added to each grid in the spatial boundary grid of the off-site wind farm absorption area simulates the conversion of electrical energy into thermal energy from the wind farm; the calculation formula for the thermal power added to each grid in the spatial boundary grid is as follows: in, The added thermal power for each grid This refers to the number of wind turbines in a wind farm. The power factor of the wind turbines in the wind farm. The radius of the wind turbine rotor in the wind farm. air density, , For the wind speed at the wind farm, The number of spatial boundary grids for off-site wind farm consumption areas.

2. The method according to claim 1, characterized in that, Before simulating the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model, the following steps are included: Under the local climate model, the spatial boundaries of wind farms and the spatial boundaries of off-site wind farm consumption areas are delineated, and the surface roughness within the spatial grid is modified to the actual roughness of the wind farm.

3. A system for simulating the thermal energy conversion effect of wind power, characterized in that, The system includes: Initial unit, used to determine the local climate pattern and basic data of the wind farm; The model building unit, based on the local climate model and basic data, as well as the conversion relationship of wind power energy and the principle of electrical heat dissipation, establishes local and off-site energy conversion models of wind power thermal energy. A conversion unit is used to simulate the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model. The conversion unit, under the local climate model, simulates the conversion effect of wind power thermal energy in a wind farm using an energy conversion model, including: Under the local climate model, the energy conversion model is used to simulate the wind speed attenuation effect caused by the increase in wind farm roughness, and the conversion of wind energy in the wind farm into local thermal energy. Under the local climate model, the conversion of wind energy into electricity from wind farms is simulated after deducting the wind energy used for power generation in wind farms. Under the local climate model, the heat power consumed by the wind farm in a different location is increased to simulate the conversion of electrical energy into heat energy in the wind farm; Under the local climate model, after deducting the wind energy used for power generation by the wind farm, the simulation of the conversion of wind energy into electrical energy from the wind farm includes: The amount of wind energy converted into electrical energy in a wind farm is calculated using the following formula; in, This refers to the number of wind turbines in a wind farm. This represents the amount of wind energy converted into electrical energy in a wind farm. The power factor of the wind turbines in the wind farm. The radius of the wind turbine rotor in the wind farm. air density, , For the wind speed at the wind farm, For a preset time period; The amount of wind energy converted into electrical energy in the wind farm is deducted from the near-surface wind energy of the wind farm to determine the total remaining wind energy in the near-surface layer of the wind farm. Based on the conversion of wind energy into electrical energy in a wind farm and the total remaining wind energy in the near-surface layer of the wind farm, the deduction ratio of the wind farm spatial boundary grid is determined, and the wind speed of the wind farm spatial boundary grid is adjusted according to the ratio to simulate the conversion of wind energy into electrical energy in the wind farm. The formula for calculating the proportionality coefficient is as follows: in, This is the proportionality coefficient. This refers to the number of wind turbines in a wind farm. The power coefficient of the wind turbines in the wind farm; The radius of the wind turbine rotor in the wind farm. air density, , For the wind speed at the wind farm, The wind speed on the spatial boundary grid. The number of grid cells representing the spatial boundary of a wind farm. , The vertical cross-sectional area of ​​the near-surface layer of the wind farm; The method described above, under a local climate model, increases the heat power consumed by the wind farm in a different location to simulate the conversion of electrical energy into heat energy from the wind farm, including: The thermal power added to each grid in the spatial boundary grid of the off-site wind farm absorption area simulates the conversion of electrical energy into thermal energy from the wind farm; the calculation formula for the thermal power added to each grid in the spatial boundary grid is as follows: in, The added thermal power for each grid This refers to the number of wind turbines in a wind farm. The power factor of the wind turbines in the wind farm. The radius of the wind turbine rotor in the wind farm. air density, , For the wind speed at the wind farm, The number of spatial boundary grids for off-site wind farm consumption areas.

4. The system according to claim 3, characterized in that, Before simulating the conversion effect of wind power thermal energy in a wind farm using an energy conversion model under the local climate model, the conversion unit includes: Under the local climate model, the spatial boundaries of wind farms and the spatial boundaries of off-site wind farm consumption areas are delineated, and the surface roughness within the spatial grid is modified to the actual roughness of the wind farm.

5. A computer device, characterized in that, include: One or more processors; A processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the method described in any one of claims 1-2 is implemented.

6. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the method as described in any one of claims 1-2.

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