Wind power generation site selection method and system

Abstract

The invention provides a wind power generation site selection method and system, relates to the technical field of wind power generation site selection, and aims to establish a more scientific quantitative index and obtain a more reliable and accurate site selection result, and the method comprises the steps: carrying out the data collection of a target region, the collection content comprising meteorological data and terrain feature data; establishing a first evaluation function based on the meteorological data, wherein the first evaluation function is used for evaluating the cost performance of the target area serving as the wind power plant; establishing a second evaluation function based on the terrain feature data, wherein the second evaluation function is used for evaluating the geographical disadvantage degree of the target area serving as the wind power plant; and selecting an optimal target area for the plurality of target areas according to the first evaluation function and the second evaluation function. The method has the advantages of being accurate in site selection, high in interpretability and high in efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation site selection, and more particularly, to a method and system for wind power generation site selection. Background Art

[0002] As an important form of clean energy development, the scientific and reasonable site selection of wind power generation directly affects the economy and feasibility of wind power projects.

[0003] The selection of a wind power generation site needs to comprehensively consider multiple factors such as the meteorological conditions, terrain features, and construction costs of the target area. However, if the traditional site selection method simply evaluates based on meteorological data such as wind speed, it will ignore the impact of terrain conditions on the construction cost and operation efficiency of the wind farm, resulting in one-sided evaluation results; when considering multiple aspects, there will be a lack of targeted evaluation indicators, making it difficult to effectively quantify the advantages and disadvantages of the target area. These disadvantages will cause defects such as low site selection efficiency and low scientificity.

[0004] Therefore, it is necessary to optimize the wind power generation site selection scheme to achieve the establishment of more scientific quantification indicators and obtain more reliable and accurate site selection results. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for wind power generation site selection, which can achieve the establishment of more scientific quantification indicators and obtain more reliable and accurate site selection results.

[0006] The present invention is achieved through the following technical solutions:

[0007] A method for wind power generation site selection includes the following steps:

[0008] Collect data for the target area, and the collected content includes meteorological data and terrain feature data;

[0009] Based on the meteorological data, establish a first evaluation function, which is used to evaluate the cost performance of the target area as a wind farm. The higher the value of the first evaluation function, the more suitable the corresponding target area is for use as a wind farm;

[0010] Based on the terrain feature data, establish a second evaluation function, which is used to evaluate the degree of geographical disadvantage of the target area as a wind farm. The higher the value of the second evaluation function, the less suitable the corresponding target area is for use as a wind farm;

[0011] For multiple target areas, select the optimal target area according to the first evaluation function and the second evaluation function respectively.

[0012] Preferably, the meteorological data includes wind power data and temperature data for each day within a year;

[0013] The wind force data of each day includes wind speed sampling data at M time points;

[0014] The temperature data for each day includes the highest temperature and the lowest temperature of the day.

[0015] Preferably, the method for establishing the first evaluation function based on the meteorological data is:

[0016] Acquire a wind index parameter WS according to the wind data;

[0017] Acquire a temperature index parameter TP according to the temperature data;

[0018] The first evaluation function J is established according to the wind index parameter and the temperature index parameter 1 :

[0019] J 1 =WS×TP.

[0020] Preferably, the method for obtaining the wind index parameter WS according to the wind data is:

[0021] Set the first wind speed upper limit ws ub1 、The second wind speed upper limit ws ub2 、The first wind speed lower limit ws lb1 and the second wind speed lower limit ws lb2 , and ws ub1 >ws ub2 >ws lb2 >ws lb1 ;

[0022] Get all the wind speed sampling data for one year that is greater than ws ub1 Number of data Less than ws lb1 Number of data The sum is not greater than ws ub2 and not less than ws lb2 Number of data

[0023]

[0024]

[0025] in, represents the average wind speed on the i-th day, N is the total number of days in a year, times trv1 and times trv2 are the preset first and second tolerance values respectively, and min(.,.) is a function for finding the minimum value.

[0026] Preferably, the method for obtaining the temperature index parameter TP according to the temperature data is as follows:

[0027] Set the upper temperature limit tp ub and the lower temperature limit tp lb ;

[0028] Obtain the number of values greater than the upper temperature limit tp ub among all the highest temperatures and the lowest temperatures in a year and the number of values less than the upper temperature limit tp lb ;

[0029]

[0030] where times trv3 is the preset third number tolerance value.

[0031] Preferably, the method for collecting the terrain feature data is as follows:

[0032] Obtain the total area S of the target area all ;

[0033] Obtain the total area S of the unavailable areas in the target area nu , where the unavailable areas include water resource areas and nature protection areas;

[0034] Divide the target area into a grid of p×q, and respectively obtain the average altitude alti of the grid in the x-th row and the y-th column x,y , x∈[1,p], y∈[1,q].

[0035] Preferably, the method for establishing the second evaluation function based on the terrain feature data is as follows:

[0036]

[0037] where J 2 is the second evaluation function, and var(.) is the variance function.

[0038] Preferably, the method for selecting the optimal target area according to the first evaluation function and the second evaluation function is as follows:

[0039] Number the multiple target areas;

[0040] Set the objective function:

[0041] max l {J 1,l ×[1-(tanh(J 2,l )) 2};

[0042] Among them, J 1,l and J 2,l are respectively the first evaluation function and the second evaluation function of the l-th target area, and max l {.} represents taking the maximum value based on the change of l;

[0043] Solve the objective function. Assume that when l = l0, the objective function has a maximum value. Then the l0-th target area is the optimal target area.

[0044] The present invention also provides a wind power generation site selection system, which is applied to the above-mentioned wind power generation site selection method, and includes:

[0045] A data acquisition module, which is used to collect data for the target area, and the collected content includes meteorological data and terrain feature data;

[0046] A first evaluation module, which is used to establish a first evaluation function based on the meteorological data. The first evaluation function is used to evaluate the cost performance of the target area as a wind farm. The higher the value of the first evaluation function, the more suitable the corresponding target area is as a wind farm;

[0047] A second evaluation module, which is used to establish a second evaluation function based on the terrain feature data. The second evaluation function is used to evaluate the degree of geographical disadvantages of the target area as a wind farm. The higher the value of the second evaluation function, the less suitable the corresponding target area is as a wind farm;

[0048] A selection module, which is used to select the optimal target area for multiple target areas respectively according to the first evaluation function and the second evaluation function.

[0049] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0050] By collecting the meteorological data and terrain feature data of the target area, the present invention can comprehensively evaluate the resource potential and construction feasibility of the target area, comprehensively consider the economic value of wind resources and terrain limitations, and avoid the one-sidedness of single-dimensional analysis.

[0051] The first evaluation function obtained by the present invention quantifies the cost performance of the natural environment of the target area, and considers the annual wind suitability and temperature suitability in the establishment process, and can accurately reflect the development potential and economic benefits of the regional wind resources;

[0052] The present invention evaluates the adverse effects of the terrain on construction and operation by establishing a second evaluation function, and considers the proportion of applicable area and regional ruggedness in the construction, which helps to identify areas with high construction costs or complex terrains;

[0053] By combining the first evaluation function and the second evaluation function, the present invention systematically analyzes the comprehensive suitability of multiple target areas, provides a scientific basis for site selection decisions, has a convenient data processing process, and improves the site selection efficiency.

[0054] The present invention has strong practicability and popularization value, and provides an efficient and scientific site selection scheme for wind farm development. Description of the Drawings

[0055] Figure 1 It is a schematic flow chart of a wind power generation site selection method provided in Embodiment 1 of the present invention. Detailed Embodiments

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0057] Embodiment 1

[0058] This embodiment provides a wind power generation site selection method. Refer to Figure 1 , and includes the following steps:

[0059] Collect data for the target area, and the collected content includes meteorological data and terrain feature data.

[0060] Based on the meteorological data, establish a first evaluation function, which is used to evaluate the cost performance of the target area as a wind farm. The higher the value of the first evaluation function, the more suitable the corresponding target area is as a wind farm.

[0061] Based on the terrain feature data, establish a second evaluation function, which is used to evaluate the degree of geographical disadvantage of the target area as a wind farm. The higher the value of the second evaluation function, the less suitable the corresponding target area is as a wind farm.

[0062] For multiple target areas, select the optimal target area according to the first evaluation function and the second evaluation function respectively.

[0063] In this embodiment, by comprehensively collecting and analyzing the meteorological data and topographical feature data of the target area, the advantages and disadvantages of the natural environmental conditions of the target area and the construction feasibility under the influence of the terrain can be systematically evaluated. In this way, this embodiment comprehensively considers the economic value of wind resources and terrain limitation factors, evaluates the overall suitability of the target area from multiple perspectives, effectively avoids the limitations brought by the one-sidedness of traditional analysis, and significantly improves the scientificity and comprehensiveness of the site selection decision-making.

[0064] In this embodiment, the meteorological data includes wind power data and temperature data for each day within a year;

[0065] The daily wind power data includes wind speed sampling data at M time points;

[0066] The daily temperature data includes the highest temperature and the lowest temperature of the day.

[0067] When specifically implementing, the method for establishing the first evaluation function based on the meteorological data is preferably:

[0068] Obtain the wind power index parameter WS according to the wind power data;

[0069] Obtain the temperature index parameter TP according to the temperature data;

[0070] Establish the first evaluation function J according to the wind power index parameter and the temperature index parameter 1 :

[0071] J 1 = WS × TP.

[0072] Furthermore, the method for obtaining the wind power index parameter WS according to the wind power data is:

[0073] Set the first wind speed upper limit ws ub1 、the second wind speed upper limit ws ub2 、the first wind speed lower limit ws lb and the second wind speed lower limit ws lb2 , and ws ub1 > ws ub > ws lb2 > ws lb1 ;

[0074] Obtain the number of data greater than ws ub among all the wind speed sampling data in a year the number of data less than ws lb1 and the number of data not greater than ws and not less than ws ub2 ; lb2 and the number of data not less than ws

[0076]

[0077] Among them, represents the average wind speed on the i-th day, N is the total number of days in a year, times trv and times trv2 are respectively the preset first number tolerance value and the second number tolerance value, and min(.,.) is a function for finding the minimum value.

[0078] On the other hand, the method for obtaining the temperature index parameter TP according to the temperature data is preferably:

[0079] Set the temperature upper limit tp ub and the temperature lower limit tp lb ;

[0080] Obtain the number of values greater than the temperature upper limit tp ub among all the highest temperatures and the lowest temperatures in a year and the number of values less than the temperature upper limit tp lb ;

[0081]

[0082] Among them, times trv3 is the preset third number tolerance value.

[0083] In this embodiment, the cost performance of the natural environment in the target area is quantified. When establishing the first evaluation function, combined with the annual meteorological data, the suitability of wind resources and the influence of temperature on the operation efficiency of equipment are comprehensively considered, so as to accurately reflect the development potential and economic benefits of regional wind resources. Among them, the wind index parameter WS reflects the annual wind conditions. The greater the average wind force throughout the year, the greater the wind index parameter WS. In this embodiment, multiple wind speed thresholds are also set. Among them, the second wind speed upper limit ws ub2 and the second wind speed lower limit ws lb2 constitute a comfortable wind speed interval for the operation of the wind farm. The first wind speed upper limit ws ub1 represents the wind speed upper limit of a harsh natural environment, and the first wind speed lower limit ws lb represents the wind speed lower limit requirement for the operation of the wind farm. The above thresholds can all be obtained through experience. If the wind speed is not in the comfortable interval too much and exceeds the limit value too much, the value of WS will be reduced. Among them, the degree of weakening when exceeding the limit value is higher. In addition, the larger the first number tolerance value times trv1 , the more times the wind speed not in the comfortable interval that the value of WS can tolerate. Similarly, the second number tolerance value times trv2The larger it is, the more times the wind speed value of WS can tolerate exceeding the limit value. Similarly, in terms of temperature, the value of the temperature index parameter TP reflects the situation of the annual temperature in the comfortable area. The more the annual temperature falls within the comfortable area, the larger the temperature index parameter TP. The third number tolerance value times trv3 The larger it is, the more times the value of the temperature index parameter TP can tolerate the temperature exceeding the comfortable area.

[0084] As a preferred solution of this embodiment, the acquisition method of the terrain feature data is as follows:

[0085] Obtain the total area S of the target area all ;

[0086] Obtain the total area S of the unavailable area in the target area nu , where the unavailable area includes water resource areas and nature protection areas;

[0087] Divide the target area into a grid of p×q, and respectively obtain the average altitude alti of the grid in the x-th row and y-th column x,y , x∈[1, p], y∈[1, q].

[0088] On this basis, the method for establishing the second evaluation function based on the terrain feature data is as follows:

[0089]

[0090] where J 2 is the second evaluation function, and var(.) is the variance function.

[0091] In the evaluation process of this embodiment, the proportion of the suitable construction area and key parameters such as capturing the ruggedness of the terrain through the variance of altitude are fully considered, effectively identifying areas with complex terrain or high construction costs, thereby providing a scientific basis for site selection to avoid potential geological risks.

[0092] Next, the method for selecting the optimal target area according to the first evaluation function and the second evaluation function can be:

[0093] Number the multiple target areas;

[0094] Set the objective function:

[0095] max l {J 1,l ×[1 - (tanh(J 2,l )) 2};

[0096] where J 1,l and J 2,lThey are respectively the first evaluation function and the second evaluation function of the l-th target area, and max l {.} represents taking the maximum value based on the change of l;

[0097] Solve the objective function. Assume that when l = l0, the objective function has a maximum value. Then the l0-th target area is the optimal target area.

[0098] The main purpose of the objective function is to make J 1,l value as large as possible and J 2,l value as small as possible, and combine the two indicators to find the best site selection plan. Furthermore, this embodiment can quickly screen out areas with high resource potential and excellent terrain conditions as the best sites for wind power generation. Its evaluation method has the characteristics of clear logic and simple data processing, significantly reducing the complexity while improving the reliability of site selection, and providing scientific and comprehensive support for site selection decisions.

[0099] Embodiment 2

[0100] This embodiment provides a wind power generation site selection system, which is applied to a wind power generation site selection method in the above embodiment, including:

[0101] A data acquisition module, used to collect data for the target area, and the collected content includes meteorological data and terrain feature data;

[0102] A first evaluation module, used to establish a first evaluation function based on the meteorological data, and the first evaluation function is used to evaluate the cost performance of the target area as a wind power generation site. The higher the value of the first evaluation function, the more suitable the corresponding target area is as a wind power generation site;

[0103] A second evaluation module, used to establish a second evaluation function based on the terrain feature data, and the second evaluation function is used to evaluate the degree of geographical disadvantage of the target area as a wind power generation site. The higher the value of the second evaluation function, the less suitable the corresponding target area is as a wind power generation site;

[0104] A selection module, used to select the optimal target area for multiple target areas respectively according to the first evaluation function and the second evaluation function.

[0105] The above is only the preferred embodiment of the present invention and is not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A wind power generation site selection method, characterized in that, It includes the following steps: Collect data for the target area, and the collected content includes meteorological data and terrain feature data; Establish a first evaluation function based on the meteorological data, and the first evaluation function is used to evaluate the cost performance of using the target area as a wind farm. The higher the value of the first evaluation function, the more suitable the corresponding target area is for use as a wind farm; Establish a second evaluation function based on the terrain feature data, and the second evaluation function is used to evaluate the degree of geographical disadvantage of using the target area as a wind farm. The higher the value of the second evaluation function, the less suitable the corresponding target area is for use as a wind farm; Select the optimal target area for each of the multiple target areas according to the first evaluation function and the second evaluation function respectively.

2. The method for selecting a wind power generation site according to claim 1, characterized in that The meteorological data includes wind data and temperature data for each day within a year; The wind data for each day includes wind speed sampling data at M time points; The temperature data for each day includes the highest temperature and the lowest temperature of the day.

3. The method for wind power generation site selection according to claim 2, characterized in that The method for establishing the first evaluation function based on the meteorological data is: Obtain the wind index parameter WS according to the wind data; Obtain the temperature index parameter TP according to the temperature data; Establish the first evaluation function J according to the wind power index parameter and the air temperature index parameter 1 : J 1 = WS × TP.

4. A wind power generation site selection method according to claim 3, characterized in that, The method for obtaining the wind index parameter WS according to the wind data is: Set the first upper wind speed limit ws ub1 and the second upper wind speed limit ws ub2 and the first lower wind speed limit ws lb and the second lower wind speed limit ws lb2 , and ws ub >ws ub2 >ws lb >ws lb1 ; Obtain the number of data greater than ws among all the wind speed sampling data for one year ub1 of the data less than ws lb1 of the data and not greater than ws ub2 and not less than ws lb2 of the data Among them, represents the average wind speed on the i-th day, N is the total number of days in a year, times trv1 and times trv2 are respectively the preset first number tolerance value and the second number tolerance value, and min(.,.) is a function for finding the minimum value.

5. A wind power generation site selection method according to claim 4, characterized in that, The method for obtaining the temperature index parameter TP according to the temperature data is: Set the upper temperature limit tp ub and the lower temperature limit tp lb ; Obtain the number of values greater than the temperature upper limit tp among all the highest temperatures and the lowest temperatures in a year ub and the number of values less than the temperature upper limit tp lb and where times trv3 is a preset third number tolerance value.

6. A wind power generation site selection method according to claim 1, characterized in that The method for collecting the terrain feature data is: Obtain the total area S of the target area all ; Obtain the total area S of unavailable areas in the target area nu , where the unavailable areas include water resource areas and nature protection areas; Divide the target area into a p×q grid, and respectively obtain the average altitude alti of the grid in the x-th row and the y-th column x,y , where x ∈ [1, p] and y ∈ [1, q].

7. A wind power generation site selection method according to claim 6, characterized in that The method for establishing the second evaluation function based on the terrain feature data is: Among them, J 2 is the second evaluation function, and var(.) is the variance calculation function.

8. A wind power generation site selection method according to claim 1, characterized in that, The method for selecting the optimal target area according to the first evaluation function and the second evaluation function is: Number the multiple target areas; Set the objective function: max l {J 1,l ×[1 - (tanh(J 2,l )) 2}; Among them, J 1,l and J 2,l are respectively the first evaluation function and the second evaluation function of the l-th target region, and max l {.} represents obtaining the maximum value based on the change of l; Solve the objective function. Assume that when l = l0, the objective function has a maximum value, then the l0th target area is the optimal target area.

9. A wind power generation site selection system, applied to a wind power generation site selection method according to any one of claims 1-8, characterized in that, It includes: A data collection module for collecting data for the target area, and the collected content includes meteorological data and terrain feature data; A first evaluation module for establishing a first evaluation function based on the meteorological data, and the first evaluation function is used to evaluate the cost performance of using the target area as a wind farm. The higher the value of the first evaluation function, the more suitable the corresponding target area is for use as a wind farm; A second evaluation module for establishing a second evaluation function based on the terrain feature data, and the second evaluation function is used to evaluate the degree of geographical disadvantage of using the target area as a wind farm. The higher the value of the second evaluation function, the less suitable the corresponding target area is for use as a wind farm; A selection module for selecting the optimal target area for each of the multiple target areas according to the first evaluation function and the second evaluation function respectively.

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