CN-122022013-A - Wind resource microscopic site selection method and system based on economy

CN122022013ACN 122022013 ACN122022013 ACN 122022013ACN-122022013-A

Abstract

The invention discloses an economical wind resource microscopic site selection method and system, wherein the economical wind resource microscopic site selection method comprises the steps of obtaining spatial geographic information of a target wind power plant, long-sequence meteorological data and geographic constraint information of a wind power forbidden construction area, and constructing a high-resolution three-dimensional geographic information system platform; based on the three-dimensional geographic information system platform, wind resource fine evaluation is carried out to obtain full-field wind energy distribution parameters and single-site theoretical wind energy parameters, wherein the wind energy distribution parameters at least comprise wind speed Weibull distribution parameters and wind direction rose diagrams, an optimized objective function of microscopic site selection is defined, a construction prohibition area is used as a rigid constraint to be embedded in an optimized model, a compliance risk is avoided from the source, high-precision topography and meteorological data are fused in the three-dimensional geographic information platform, wind field high-resolution numerical simulation based on the computational fluid mechanics principle is carried out, and the precision of wind resource space-time distribution evaluation under complex topography is remarkably improved.

Inventors

ZHANG XUZHEN
LIN MENG

Assignees

湖北省天顺零碳技术有限公司

Dates

Publication Date: 20260512
Application Date: 20251230

Claims (9)

1. An economical wind resource microscopic site selection method is characterized by comprising the following steps: acquiring spatial geographic information, long-sequence meteorological data and geographic constraint information of a wind power forbidden construction area of a target wind power plant, and constructing a high-resolution three-dimensional geographic information system platform; Based on the three-dimensional geographic information system platform, carrying out wind resource refined evaluation to obtain full-field wind energy distribution parameters and single-site theoretical wind energy parameters, wherein the wind energy distribution parameters at least comprise wind speed Weibull distribution parameters and wind direction rose; Defining an optimized objective function of microscopic site selection, wherein the objective function is a comprehensive objective integrating total power generation amount, total wake loss and total construction cost of a full life cycle, and setting space geometric constraint of a fan-arrangeable position and geographic inhibition constraint based on the wind power inhibition construction area; carrying out iterative solution on the objective function by adopting an intelligent optimization algorithm, searching an optimal fan position coordinate set under the condition of meeting the space geometric constraint and the geographic prohibition constraint, and generating a microscopic site selection scheme; and carrying out full life cycle technical and economic evaluation on the generated microscopic site selection scheme, calculating the net present value of the scheme, and screening the final scheme by combining sensitivity analysis.
2. The economic-based wind resource microscopic site selection method according to claim 1, wherein the wind resource refinement assessment specifically comprises: Obtaining long-sequence analysis meteorological data of a target wind power plant, and performing time sequence correction and representative verification on the analysis meteorological data by utilizing on-site anemometry data; based on the corrected long-sequence wind data, a maximum likelihood method or a least square method is utilized to fit to obtain a wind speed Weibull distribution shape parameter k and a scale parameter c of each grid point, and a wind direction rose is generated through statistics; And on the three-dimensional geographic information system platform, high-precision topographic data, weibull distribution parameters and wind direction rose diagram data are fused, a computational fluid dynamics method is adopted to perform three-dimensional wind field simulation, and a wind speed and wind power density distribution diagram with spatial resolution not lower than 100m multiplied by 100m is generated and is used as the input of a single-unit theoretical wind energy parameter.
3. The method for microscopic localization of wind resources based on economy according to claim 1, wherein the objective function F is expressed as: F=max(α*AEP_net-β*C_total) The AEP_net is the net power generation amount converted by annual equivalent full-power generation hours of the whole-farm wind turbine after the wake effect is considered, C_total is the current value converted from the total cost of the whole life cycle of the wind power plant to the initial stage of construction, alpha is the power generation amount economic conversion coefficient and is related to the internet electricity price, and beta is the cost weight coefficient.
4. The economic wind resource microscopic site selection method based on claim 3, wherein the calculation formula of the net power generation amount aep_net of the full-farm wind turbine generator is as follows: AEP_net=Σ_{i=1}^{N}[P_i*(1-Loss_wake_i)*T] Wherein N is the total number of fans, P_i is the theoretical power of the ith fan under no influence of wake, loss_wake_i is the comprehensive wake Loss rate of the ith fan calculated based on an engineering wake model, and T is the number of operating hours.
5. The method for microscopically locating wind resources based on economy according to claim 3, wherein the total cost of full life cycle value C_total comprises equipment purchase cost C_ equip, construction cost C_construction and operation maintenance cost present value C_o & m, wherein the construction cost C_construction comprises wind turbine foundation cost, road construction cost and current collection line cost, the cost is related to the position of coordinates of a fan, the terrain gradient and the spatial distribution of forbidden construction areas, and cost estimation based on paths and engineering quantities is performed through the three-dimensional geographic information system platform.
6. The wind resource microscopic site selection method based on economy according to claim 1 is characterized in that the intelligent optimization algorithm is a genetic algorithm, the fan position coordinate set is used as a chromosome of the genetic algorithm to be encoded, the fitness value of each generation of individuals is calculated by the objective function F, and the intersection and mutation operation of the algorithm is required to be corrected by combining the space geometric constraint and the geographic prohibition constraint, so that newly generated machine position coordinates are ensured not to fall into a prohibited construction area and meet the minimum spacing requirement.
7. The wind resource microscopic site selection method based on economy according to claim 1, wherein the full life cycle technical economic evaluation introduces a microscopic site selection scheme economic coefficient K for comparing the lateral economy after normalization of different schemes, and the calculation formula of the economic coefficient K is as follows: K=(NPV*(1-R_risk))/(C_capex*PBP) The method comprises the steps of NPV being a net present value of a microscopic site selection scheme, R_risk being a project risk adjustment coefficient obtained based on sensitivity analysis, the value range being 0-1, C_capex being static total investment cost of the scheme, PBP being an investment recovery period of the scheme, wherein the higher the value of the economic coefficient K is, the higher the net present value obtained by unit investment cost and unit recovery period time of the scheme is, and the better the economical efficiency is.
8. The method of economic-based wind resource microscopic site selection according to claim 7, wherein the project risk adjustment factor r_risk is determined by: the wind speed uncertainty and the fluctuation of the online electricity price are selected as key uncertainty factors; Performing Monte Carlo simulation based on the key uncertain factors on the net present value NPV of the microscopic addressing scheme to obtain probability distribution of the NPV; The value of R_risk is determined by mapping based on the probability that NPV is below the baseline value in combination with the industry average risk level.
9. An economical wind resource microscopic site selection system, comprising: The data acquisition and platform construction module is used for acquiring the spatial geographic information of the target wind power plant, the long-sequence meteorological data and the geographic constraint information of the wind power forbidden construction area, and constructing a high-resolution three-dimensional geographic information system platform; The wind resource evaluation module is used for carrying out wind resource refined evaluation based on the three-dimensional geographic information system platform to obtain full-field wind energy distribution parameters and single-machine theoretical wind energy parameters, wherein the wind energy distribution parameters at least comprise wind speed Weibull distribution parameters and wind direction rose; the optimization modeling module is used for defining an optimization objective function of microscopic site selection, wherein the objective function is a comprehensive objective integrating total power generation capacity, total wake loss and total construction cost of a whole life cycle, and space geometric constraint of a fan arrangeable position and geographic prohibition constraint based on the wind power prohibition construction area are set; the optimization solving module is used for carrying out iterative solving on the objective function by adopting an intelligent optimization algorithm, searching an optimal fan position coordinate set under the condition of meeting the space geometric constraint and the geographic prohibition constraint, and generating a microscopic site selection scheme; And the economic evaluation module is used for carrying out full life cycle technical economic evaluation on the generated microscopic site selection scheme, calculating the net present value of the scheme and screening the final scheme by combining sensitivity analysis.

Description

Wind resource microscopic site selection method and system based on economy Technical Field The invention relates to the technical field of wind power, in particular to an economical wind resource microscopic site selection method and system. Background In the wind power scale development background, the scientificity of microscopic site selection directly determines the economic benefit of a wind power plant. The traditional microscopic site selection method is mostly dependent on the experience of engineers or only carries out single-objective optimization on the generated energy, and lacks systematic consideration. The method mainly has the following defects that 1) the environmental adaptability is poor, the wind resource space-time heterogeneity evaluation precision of complex terrains (mountain areas and high altitudes) is insufficient, and the rigid constraint of forbidden construction areas such as national and earth space planning, ecological red lines, airport clearance and the like is often ignored, so that the scheme compliance risk is high. 2) The optimization targets are single, the maximum generated energy is used as the only target, the generated energy loss caused by the wake effect and the construction cost of roads, current collecting circuits, foundations and the like directly determined by the machine position coordinates are not systematically brought into the unified optimization framework, and the full life cycle gain optimization is difficult to realize. 3) And the economic evaluation is delayed, namely the technical scheme is separated from economic benefit analysis, the economic evaluation is usually carried out after the layout scheme is determined, and the generation income and the cost investment cannot be dynamically balanced in the optimization process. Disclosure of Invention The invention aims to overcome the technical defects and provides an economic-based wind resource microscopic site selection method and system, so as to solve the problems of insufficient environmental constraint consideration, single optimization target and disconnection from the economy of the traditional method. In order to achieve the technical purpose, in a first aspect, the technical scheme of the invention provides an economical wind resource microscopic site selection method, which comprises the following steps: acquiring spatial geographic information, long-sequence meteorological data and geographic constraint information of a wind power forbidden construction area of a target wind power plant, and constructing a high-resolution three-dimensional geographic information system platform; Based on the three-dimensional geographic information system platform, carrying out wind resource refined evaluation to obtain full-field wind energy distribution parameters and single-site theoretical wind energy parameters, wherein the wind energy distribution parameters at least comprise wind speed Weibull distribution parameters and wind direction rose; Defining an optimized objective function of microscopic site selection, wherein the objective function is a comprehensive objective integrating total power generation amount, total wake loss and total construction cost of a full life cycle, and setting space geometric constraint of a fan-arrangeable position and geographic inhibition constraint based on the wind power inhibition construction area; carrying out iterative solution on the objective function by adopting an intelligent optimization algorithm, searching an optimal fan position coordinate set under the condition of meeting the space geometric constraint and the geographic prohibition constraint, and generating a microscopic site selection scheme; and carrying out full life cycle technical and economic evaluation on the generated microscopic site selection scheme, calculating the net present value of the scheme, and screening the final scheme by combining sensitivity analysis. Optionally, the wind resource refinement evaluation specifically includes: Obtaining long-sequence analysis meteorological data of a target wind power plant, and performing time sequence correction and representative verification on the analysis meteorological data by utilizing on-site anemometry data; based on the corrected long-sequence wind data, a maximum likelihood method or a least square method is utilized to fit to obtain a wind speed Weibull distribution shape parameter k and a scale parameter c of each grid point, and a wind direction rose is generated through statistics; And on the three-dimensional geographic information system platform, high-precision topographic data, weibull distribution parameters and wind direction rose diagram data are fused, a computational fluid dynamics method is adopted to perform three-dimensional wind field simulation, and a wind speed and wind power density distribution diagram with spatial resolution not lower than 100m multiplied by 100m is generated and is used as the input of a sing