Multi-scale complementarity evaluation method, device and equipment for wind and light resources, storage medium and program product

Abstract

The invention relates to a multi-scale complementarity evaluation method and device for wind and light resources, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring electric power data of a wind power station and a photovoltaic power station in a target area within a preset time period; generating a joint output curve and a complementary curve according to the power data; the combined output curve is used for representing the combined power change condition of the wind power station and the photovoltaic power station in the same time period; the complementary curve is used for representing ideal electric quantity required to be supplemented to the photovoltaic power station by the wind power station in a preset time period; evaluating complementarity of output electric energy of the wind power station and the photovoltaic power station according to a difference value between the combined output curve and the complementary curve and the electric power data to obtain an evaluation result; according to the method, quantitative evaluation of complementarity of output electric energy of the wind and light power station is realized, and the wind and light resource collaborative utilization efficiency is improved through quantitative index calculation by adopting a mode of combining electric power data acquisition and modeling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of multi-energy complementary technology, and in particular to a wind-solar resource multi-scale complementarity evaluation method and device, computer equipment, computer readable storage medium and computer program product. BACKGROUND

[0002] With the acceleration of global energy revolution, renewable resources such as wind and solar have been upgraded from supplementary energy to one of the main energy sources. The large-scale development of wind and solar resources can significantly reduce the dependence of the power system on fossil energy and reduce carbon emissions. However, the inherent randomness, volatility and intermittency of wind and solar new energy hinder its direct access to the grid, and flexible resources need to be configured to provide adjustment support. Therefore, incorporating wind-solar resource complementarity into new power system planning is considered a forward-looking method to improve power system resilience and reduce energy storage demand.

[0003] In the prior art, the evaluation method of the complementarity of wind-solar new energy usually includes: constructing multiple complementarity indexes, such as Kendall coefficient, determination coefficient and Person correlation coefficient.

[0004] However, the above method of evaluating the complementarity of wind-solar new energy by constructing multiple complementarity indexes has the problem of data distortion. SUMMARY

[0005] Therefore, it is necessary to provide a wind-solar resource multi-scale complementarity evaluation method, device, computer equipment, computer readable storage medium and computer program product to solve the above technical problems.

[0006] In a first aspect, the present application provides a wind-solar resource multi-scale complementarity evaluation method, comprising:

[0007] obtaining the power data of the wind power station and the photovoltaic power station in the target region within a preset time period;

[0008] generating a joint output curve and a complementary curve according to the power data; the joint output curve is used to represent the joint power change of the wind power station and the photovoltaic power station within the same time period; the complementary curve is used to represent the ideal power that the wind power station needs to supplement to the photovoltaic power station within the preset time period;

[0009] evaluating the complementarity of the wind power station and the photovoltaic power station according to the difference between the joint output curve and the complementary curve, and the power data, to obtain an evaluation result.

[0010] In one embodiment, the evaluation of the complementarity of the wind power station and the photovoltaic power station according to the difference between the joint output curve and the complementary curve, and the power data, to obtain an evaluation result, comprises:

[0011] The first complementary power of the wind power station and the photovoltaic power station at each time point in the preset time period is obtained according to the difference between the joint output curve and the complementary curve, and the first complementary power at each time point is integrated to obtain the second complementary power in the preset time period;

[0012] The first surplus power of the wind power station at each time point in the preset time period is extracted from the power data of the wind power station and the complementary curve, and the first surplus power at each time point is integrated to obtain the second surplus power in the preset time period;

[0013] The complementarity of the wind power station and the photovoltaic power station in outputting electric energy is evaluated according to the second complementary power and the second surplus power, and an evaluation result is obtained.

[0014] In one of the embodiments, the complementarity of the wind power station and the photovoltaic power station in outputting electric energy is evaluated according to the second complementary power and the second surplus power, and an evaluation result is obtained, including:

[0015] The second complementary power and the second surplus power in the preset time period are subjected to difference operation to obtain effective complementary power in the preset time period;

[0016] The ratio of the effective complementary power to the ideal power at the corresponding time point is calculated to obtain a first wind-solar resource complementarity index at the corresponding time point;

[0017] The target area is evaluated according to the first wind-solar resource complementarity index, and an evaluation result is obtained.

[0018] In one of the embodiments, the target area is evaluated according to the first wind-solar resource complementarity index, and an evaluation result is obtained, including:

[0019] The first wind-solar resource complementarity index at the corresponding time point is calculated as a first reference wind-solar resource complementarity index;

[0020] The target area is evaluated according to the first reference wind-solar resource complementarity index, and an evaluation result is obtained.

[0021] In one of the embodiments, the target area is evaluated according to the first reference wind-solar resource complementarity index, and an evaluation result is obtained, including:

[0022] If the value of the first reference wind-solar resource complementarity index is located in a first preset range, it is determined that the evaluation result indicates that the complementarity of the wind power station and the photovoltaic power station is in a good state; the first preset range includes a first boundary value and a second boundary value;

[0023] If the value of the first reference wind-solar resource complementarity index is located in a second preset range, it is determined that the evaluation result indicates that the complementarity of the wind power station and the photovoltaic power station is in a good state; the second preset range includes a second boundary value and a third boundary value.

[0024] If the value of the first reference wind and solar resource complementarity index is within the third preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is acceptable; the third preset orientation includes the third boundary value and the fourth boundary value.

[0025] If the value of the first reference wind and solar resource complementarity index is within the fourth preset range, the assessment result indicates that the complementarity between wind power stations and photovoltaic power stations is unsatisfactory; the fourth preset orientation includes the fourth boundary value and the fifth boundary value.

[0026] If the value of the first reference wind and solar resource complementarity index is within the fifth preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is poor; the fifth preset orientation includes the fifth boundary value and the sixth boundary value.

[0027] In one embodiment, the target area is evaluated to obtain an evaluation result, including:

[0028] Obtain the second reference wind and solar resource complementarity index for each reference area;

[0029] Based on the values ​​of each of the second reference wind and solar resource complementarity indices, all the reference areas are sorted from largest to smallest to obtain the sorted values ​​of all the second wind and solar resource complementarity indices.

[0030] The maximum value of the wind-solar resource complementarity index under ideal conditions is taken as the value of the first boundary.

[0031] The value of the second wind and solar resource complementarity index at the first preset ranking position is used as the value of the second boundary;

[0032] The value of the second wind and solar resource complementarity index at the second preset ranking position is used as the value of the third boundary; the ranking number corresponding to the second preset ranking position is greater than the ranking number of the first preset ranking position;

[0033] The value of the second wind and solar resource complementarity index at the third preset ranking position is used as the value of the fourth boundary; the ranking number corresponding to the third preset ranking position is greater than the ranking number of the second preset ranking position;

[0034] The value of the second wind and solar resource complementarity index at the fourth preset ranking position is used as the value of the fifth boundary; the ranking position corresponding to the fourth preset ranking position is greater than the ranking position of the third preset ranking position;

[0035] The value of the second wind and solar resource complementarity index at the fifth preset ranking position is used as the value of the sixth boundary; the ranking number corresponding to the fifth preset ranking position is greater than the ranking number of the fourth preset ranking position.

[0036] Secondly, this application also provides a multi-scale complementarity evaluation device for wind and solar resources, comprising:

[0037] The power data module is used to acquire power data of wind power plants and photovoltaic power plants in the target area within a preset time period;

[0038] The curve module is used to generate combined output curves and complementary curves based on power data. The combined output curve is used to characterize the combined power change of wind power stations and photovoltaic power stations within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement the photovoltaic power station within a preset time period.

[0039] The evaluation module assesses the complementarity of the power output of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data, and obtains the evaluation results.

[0040] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0041] Acquire power data from wind power plants and photovoltaic power plants in the target area within a preset time period;

[0042] Based on power data, a combined output curve and a complementary curve are generated. The combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement the photovoltaic power station within a preset time period.

[0043] The evaluation results are obtained by assessing the complementarity of the power output of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data.

[0044] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0045] Acquire power data from wind power plants and photovoltaic power plants in the target area within a preset time period;

[0046] Based on power data, a combined output curve and a complementary curve are generated. The combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement the photovoltaic power station within a preset time period.

[0047] The evaluation results are obtained by assessing the complementarity of the power output of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data.

[0048] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0049] Acquire power data from wind power plants and photovoltaic power plants in the target area within a preset time period;

[0050] Based on power data, a combined output curve and a complementary curve are generated. The combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement the photovoltaic power station within a preset time period.

[0051] The evaluation results are obtained by assessing the complementarity of the power output of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data.

[0052] The aforementioned multi-scale complementarity evaluation method, device, computer equipment, computer-readable storage medium, and computer program product for wind and solar resources acquire power data of wind power plants and photovoltaic power plants in a target area within a preset time period; generate joint output curves and complementarity curves based on the power data; the joint output curve is used to characterize the combined power change of wind power plants and photovoltaic power plants within the same time period; the complementarity curve is used to characterize the ideal amount of electricity that wind power plants need to supplement photovoltaic power plants within the preset time period; and the complementarity of the output power of wind power plants and photovoltaic power plants is evaluated based on the difference between the joint output curve and the complementarity curve, as well as the power data, to obtain the evaluation result. The above method realizes the quantitative evaluation of the complementarity of the output power of wind power plants and photovoltaic power plants, and improves the efficiency of wind and solar resource synergy by combining power data acquisition with curve modeling and through multi-dimensional curve analysis and quantitative index calculation. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 This is an application environment diagram of a multi-scale complementarity evaluation method for wind and solar resources in one embodiment;

[0055] Figure 2 This is one of the flowcharts illustrating the multi-scale complementarity evaluation method for wind and solar resources in the embodiments of this application;

[0056] Figure 3This is the second flowchart illustrating the multi-scale complementarity evaluation method for wind and solar resources in this application.

[0057] Figure 4 This is the third flowchart illustrating the multi-scale complementarity evaluation method for wind and solar resources in this application.

[0058] Figure 5 This is a schematic diagram of the combined output curve and the complementary curve in the embodiments of this application;

[0059] Figure 6 This is a schematic diagram of the combined output curve and the complementary curve when CIWSP=1 in the embodiments of this application;

[0060] Figure 7 This is the fourth flowchart illustrating the multi-scale complementarity evaluation method for wind and solar resources in this application.

[0061] Figure 8 This is the fifth flowchart illustrating the multi-scale complementarity evaluation method for wind and solar resources in the embodiments of this application;

[0062] Figure 9 This is the sixth flowchart illustrating the multi-scale complementarity evaluation method for wind and solar resources in this application.

[0063] Figure 10 This is the seventh flowchart illustrating the multi-scale complementarity evaluation method for wind and solar resources in the embodiments of this application;

[0064] Figure 11 This is a structural block diagram of the multi-scale complementarity evaluation device for wind and solar resources in the embodiments of this application;

[0065] Figure 12 This is an internal structural diagram of a multi-scale complementarity evaluation device for wind and solar resources in one embodiment. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0067] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0068] The multi-scale complementarity evaluation method for wind and solar resources provided in this application can be applied to, for example... Figure 1 In the application environment shown, the power data of the wind power plant cluster 101 and the photovoltaic power plant cluster 102 can be collected by the power plant-level monitoring system 103 and used as data input for the multi-scale complementarity evaluation device 104 of wind and solar resources. The multi-scale complementarity evaluation device 104 can process the data provided by the power plant-level monitoring system 103. The multi-scale complementarity evaluation device 104 of wind and solar resources can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0069] Those skilled in the art will understand that Figure 1 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0070] In one exemplary embodiment, such as Figure 2 As shown, a multi-scale complementarity evaluation method for wind and solar resources is provided, and this method is applied to... Figure 1 The multi-scale complementarity evaluation device 104 for wind and solar resources in China is used as an example for explanation, including:

[0071] S201, Obtain power data of wind power stations and photovoltaic power stations in the target area within a preset time period.

[0072] The power data includes a series of data reflecting the operating status of wind and solar power plants in the target area, such as power, voltage, and current values. The preset time period can be one day, one week, one month, or one quarter. The target area can be pre-defined and divided based on the distribution of wind and solar power plants.

[0073] In this embodiment, regarding the definition of the target area, it is necessary to clearly define the geographical boundaries of the target area, including all wind power stations and photovoltaic power stations within the area, and collect core data of each power station, such as latitude and longitude coordinates, installed capacity (MW), and main technical parameters (such as wind turbine model, rated power, and inverter efficiency). For the preset time period, the start and end dates can be clearly defined (e.g., from 00:00 on January 1, XXX to 00:00 on January 1, XXX), so that computer equipment can analyze the power data of wind power stations and photovoltaic power stations based on this time period. By using a power station-level monitoring system (such as a data acquisition and monitoring control system, energy management system, and distributed control system) or a regional power dispatch center to obtain the power transmitted to the grid by the wind power station cluster and photovoltaic power station cluster or the power measured inside the power station, the multi-scale complementarity evaluation device can obtain the power data of wind power stations and photovoltaic power stations in the target area within the preset time period. Optionally, for the preset time period, key moments that need special attention can be specified as needed, such as typhoon weather, extreme heat weather, or peak photovoltaic hours. Simultaneous meteorological data and equipment status / event flags can be selectively acquired to assist in the analysis of output power.

[0074] S202 generates combined output curves and complementary curves based on power data.

[0075] The combined output curve is used to characterize the combined power change of wind power stations and photovoltaic power stations within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement to the photovoltaic power station within a preset time period. The combined output curve refers to the superposition result of the output power of the wind power station and the photovoltaic power station within the same time period. Output refers to the actual power generated by the power generation equipment (such as wind power stations and photovoltaic power stations) at a certain moment. In this embodiment of the application, the output value is calculated according to the unit installed capacity in order to eliminate the influence of regional installed capacity differences.

[0076] In this embodiment, the computer equipment obtains power data from wind power plants and photovoltaic power plants, acquired through a power plant-level monitoring system or a regional power dispatch center, showing the power transmitted to the grid or measured internally by the plants within the same time period. This represents the output power of the wind power plants and photovoltaic power plants during the same time period. The output power of the wind power plants and photovoltaic power plants within the same time period is then accumulated, which can be expressed as: Combined output = Wind power plant output + Photovoltaic power plant output. A curve fitting is performed on the accumulated power data to obtain a combined output curve, with the horizontal axis representing time in hours and the vertical axis representing accumulated power in megawatts (MW). In cases where the output of the wind power plants and photovoltaic power plants is perfectly complementary, the difference between the installed capacity of the photovoltaic power plant and its output process can be calculated to obtain a complementary curve. , is defined as the difference between the installed capacity of a photovoltaic power station and the output capacity of the photovoltaic power station, and can be expressed by the relationship (1):

[0077] (1);

[0078] in: The output of the photovoltaic power station (normalized based on unit installed capacity) is expressed in megawatts (MW). For the complementary curve, the horizontal axis represents time in hours, and the vertical axis represents power in megawatts (MW). Relationship (1) represents the ideal value that the solar power output should reach under the condition of no wind and solar fluctuations, so as to make the combined output completely stable. Among them, the photovoltaic power output process It has diurnal characteristics. It can be calculated in real time based on actual photovoltaic output, reflecting the theoretical benchmark of wind-solar hybridization, in the context of wind power station output and... Under the condition of perfect consistency, that is, the wind power output curves coincide at The curve shows that wind power output perfectly fills the trough of photovoltaic output, and the combined processing curve becomes a straight line, the value of which is equal to the installed capacity of the photovoltaic power station.

[0079] S203. The complementarity of the output power of wind power plants and photovoltaic power plants is evaluated based on the difference between the combined output curve and the complementary curve, as well as the power data, and the evaluation results are obtained.

[0080] In this embodiment, the fitted joint curve can be divided into two types of key power data: complementary power (CP), which indicates that the wind power output is lower than that of the complementary curve. This portion of electricity is considered to effectively compensate for the output of photovoltaic power plants. The minimum complementary power output (CP) is 0, meaning that the wind power output is always higher than or equal to... At that time, the maximum theoretical value is That is, when wind power output is consistently lower than Time; Excess power (EP) indicates that the wind power plant's output exceeds the complementary curve. This portion of the electricity is considered surplus and introduces additional volatility into the combined output curve. The minimum surplus electricity (EP) is 0, meaning that when wind power output is consistently lower than or equal to... The maximum value is theoretically infinite, but is limited by actual output. Based on the gap between complementary power CP and surplus power EP, the complementarity of power data for the output power of wind power stations and photovoltaic power stations is analyzed and evaluated, and the evaluation results are obtained.

[0081] The multi-scale complementarity evaluation method for wind and solar resources described in the above embodiment acquires power data of wind power plants and photovoltaic power plants in a target area within a preset time period; generates a joint output curve and a complementarity curve based on the power data; the joint output curve characterizes the combined power change of the wind power plant and photovoltaic power plant within the same time period; the complementarity curve characterizes the ideal amount of electricity that the wind power plant needs to supplement to the photovoltaic power plant within the preset time period; and evaluates the complementarity of the output power of the wind power plant and photovoltaic power plant based on the difference between the joint output curve and the complementarity curve, as well as the power data, to obtain the evaluation result. The above method realizes the quantitative evaluation of the complementarity of the output power of the wind power plant and photovoltaic power plant, and improves the efficiency of wind and solar resource synergy by combining power data acquisition with curve modeling and through multi-dimensional curve analysis and quantitative index calculation.

[0082] In an exemplary embodiment, the above-mentioned S203, "evaluating the complementarity of the output power of the wind power station and the photovoltaic power station based on the difference between the combined output curve and the complementary curve, and the power data, to obtain the evaluation result," is as follows: Figure 3 As shown, it includes:

[0083] S301. Based on the difference between the combined output curve and the complementary curve, the first complementary power of the wind power station and the photovoltaic power station at each moment within a preset time period is obtained, and the first complementary power at each moment is integrated to obtain the second complementary power within the preset time period.

[0084] In this embodiment of the application, complementary power (CP) refers to the wind power output being lower than that of the complementary curve. The minimum complementary power (CP) per hour within a preset time period is calculated. For example, if the preset time is 1-5 hours, the complementary power CP is calculated for the first hour, the second hour, ... and the fifth hour, respectively, and the complementary power CP per minute for the first hour, the second hour, ... and the fifth hour is obtained. The complementary power CP per minute for the first hour, the second hour, ... and the fifth hour is sorted by size to obtain the minimum complementary power CP per hour, that is, the first complementary power at each moment. The first complementary power at each moment is then integrated. For example, the first complementary power at the five moments obtained through the above steps is accumulated to obtain the complementary power CP at the five moments, that is, the second complementary power within the preset time period, which can be expressed by the relation (2):

[0085] (2);

[0086] in: The output of the complementary power source is represented (normalized based on the unit installed capacity), and the unit is megawatts (MW). The time step is in hours in this embodiment. This means that only when the wind power output is lower than Only when the wind power output is higher than the specified value is the difference between the two recorded. This part is zero (i.e., there is no complementary effect). The calculation of complementary electricity CP can be extended to different time scales. This can be achieved by adjusting the upper and lower limits of the integral in the relation (2). For example, short-term (hours / days): the integral range is one day, which can capture the fluctuations of one day; long-term (seasons / years): the integral range is expanded to analyze periodic characteristics.

[0087] S302: Extract the first surplus electricity of the wind power station at each moment within a preset time period from the power data of the wind power station and the complementary curve, and perform an integral operation on the first surplus electricity at each moment to obtain the second surplus electricity within the preset time period.

[0088] In this embodiment of the application, excess power (EP) represents the wind power plant's power exceeding the complementary curve. This portion of the electricity is considered surplus and introduces additional volatility into the combined output curve. The maximum surplus power (EP) per hour within a preset time period is calculated. For example, if the preset time is 1-5 hours, the surplus power EP is calculated for the first hour, second hour, ..., and fifth hour (taking the first hour as an example, assuming the first hour corresponds to...). The surplus power EP per minute for the first hour, second hour, ..., and fifth hour is obtained respectively (taking the first hour as an example, assuming any minute within the first hour corresponds to...). The wind power output should be 0.3, but the wind power output is 0.5 at this time, so the surplus electricity EP is 0.2). The surplus electricity EP per minute for the first hour, the second hour, ... and the fifth hour is sorted by size to obtain the surplus electricity EP per hour, that is, the first surplus electricity at each moment. The first surplus electricity EP at each moment is then integrated. For example, the first surplus electricity EP at the five moments obtained through the above steps is accumulated to obtain the surplus electricity EP at the five moments, that is, the second surplus electricity within the preset time period, which can be expressed by the relation (3):

[0089] (3);

[0090] Wherein: the variable is defined as having the same CP, and the unit is megawatt (MW). The time step is in hours in this embodiment. This means that only when the wind power output is higher than Only when the wind power output is lower than the specified value is the difference between the two recorded. This part is zero (i.e., no surplus effect). The calculation of surplus electricity EP can be extended to different time scales. This can be achieved by adjusting the upper and lower limits of the integral in the relation (3). For example, short-term (hours / day): the integral range is one day, which can capture the fluctuation of one day; long-term (seasons / years): the integral range is expanded to analyze periodic characteristics.

[0091] S303, based on the second complementary power and the second surplus power, evaluate the complementarity of the output power of the wind power station and the photovoltaic power station, and obtain the evaluation results.

[0092] In this embodiment of the application, the computer device obtains the second complementary power CP and the second surplus power EP through relation (2) and relation (3). The second complementary power CP represents the part of the wind power station output that is insufficient for the complementary curve within a preset time period (such as hours or by adjusting the integral range to achieve multiple scales). This part is considered to be effective complementarity. The second surplus power EP represents the part of the wind power station output that exceeds the complementary curve within a preset time period (such as hours or by adjusting the integral range to achieve multiple scales). This part is considered to be the source of "negative" fluctuations. If the second complementary power CP is greater than the second surplus power EP, it indicates that the output power of the wind power station in the region is good and the output of the photovoltaic power station is stable. That is, the wind resources are excellent and the wind and solar resources in the region are effectively compensated. If the second complementary power CP is less than the second surplus power EP, it indicates that the increased volatility during the high output period of wind energy in the region offsets the effect of compensating for insufficient photovoltaic output. The wind and solar resources in the region have poor coordination.

[0093] In an exemplary embodiment, the phrase "evaluating the complementarity of the output power of the wind power station and the photovoltaic power station based on the second complementary power and the second surplus power, and obtaining the evaluation result" in S303 above, is as follows: Figure 4 As shown, it includes:

[0094] S401, perform difference calculation on the second complementary power and the second surplus power within a preset time period to obtain the effective complementary power within the preset time period.

[0095] In this embodiment of the application, the second complementary power CP and the second surplus power EP within a preset time period are obtained through relation (2) and relation (3), and the difference between the second complementary power CP and the second surplus power EP is calculated to obtain the effective complementary power ECP (ECP, effective complementary power), which can be expressed by relation (4):

[0096] (4);

[0097] Where: the unit of relation (4) is megawatt (MW), when ECP>0, it represents the net complementary effect, and when ECP<0, it represents the net volatility effect.

[0098] S402 calculates the ratio of effective complementary power to ideal power at the corresponding time to obtain the first wind-solar resource complementarity index at the corresponding time.

[0099] In this embodiment of the application, the computer device can obtain complementary curves through the above steps. The combined output curve, the second complementary power CP, the second surplus power EP, and the effective complementary power ECP are used to obtain the first wind and solar power complementarity index CIWSP (complementarity index of wind and solar power complementary), which represents the difference between the combined output and the complementary curve when the wind power station and the photovoltaic power station are running together. That is, the actual efficiency of the wind power station in making up for the shortcomings of the photovoltaic power station (relative to the complementary curve), can be expressed by the relationship (5), such as Figure 5 As shown:

[0100] (5);

[0101] Wherein: the unit of relation (5) is megawatt (MW), all power is calculated based on unit installed capacity in order to eliminate the influence of regional installed capacity differences, and the time step is... The default value is hours (which can be adjusted according to actual conditions). The CIWSP value ranges from -1 to 1. The higher the value, the better the complementarity of the scenic resources in the area. For example, when the CIWSP value is 1, it means that the scenic resources in the target area are perfectly complementary, and CP = And EP=0, such as Figure 6 As shown; when CIWSP is -1, it indicates that the wind and solar resources in the target area are not complementary at all, and in this case, CP-EP = - ,like Figure 5 As shown.

[0102] S403, the target area is evaluated based on the first wind and solar resource complementarity index, and the evaluation results are obtained.

[0103] In this embodiment, the computer can obtain the first wind and solar resource complementarity index, i.e., CIWSP, of the target area through relation (5), and evaluate the wind and solar resource complementarity of the target area based on CIWSP. According to relation (1) to relation (5), there are five cases (the specific classification can be classified according to the actual calculation results). In the first case, if CIWSP is 1 obtained through relation (5), then the wind and solar resources of the area are perfectly complementary, and CP = and EP = 0, that is, the output of the wind power station perfectly matches , and the combined output curve is a straight line with zero volatility; in the second case, when the CIWSP value obtained from relation (5) is > 0, the wind-solar resources in this area are effectively complementary, CP > EP, that is, the filling capacity of the wind power station > the over-generation interference, and the fluctuation of the combined output curve is significantly reduced; in the third case, when the CIWSP value obtained from relation (5) is = 0, there is no complementary effect between the wind-solar resources in this area, CP = EP, that is, the filling capacity of the wind power station = the fluctuation amount; in the fourth case, when the CIWSP value obtained from relation (5) is < 0, there is a negative complementary effect between the wind-solar resources in this area, CP < EP, that is, the over-generation of the wind power station exacerbates the fluctuation; in the fifth case, when the CIWSP value obtained from relation (5) is = -1, the wind-solar resources in this area are completely non-complementary, EP = and CP = 0, that is, the output of the photovoltaic power station is the rated capacity and the output of the wind power station is also 0. At this time, the combined output curve has the maximum volatility and additional flexible resources are required.

[0104] In an exemplary embodiment, the "evaluating the target area according to the first wind-solar resource complementarity index to obtain an evaluation result" in S403 above, as Figure 7 shown, includes:

[0105] S501, calculating the first wind-solar resource complementarity index at the corresponding moment as the first reference wind-solar resource complementarity index.

[0106] In the embodiment of the present application, the computer device can define the complementary curve of the wind-solar resources in the target area according to relation (1). Before calculation, the outputs of the wind power station and the photovoltaic power station need to be normalized according to the unit installed capacity. The second complementary power CP is calculated according to relation (2), and the second surplus power EP is calculated according to relation (3). The second complementary power CP and the second surplus power EP jointly quantify the deviation of the wind power output relative to the complementary curve , and the effective complementary power ECP is calculated according to relation (4) and the first wind-solar resource complementarity index CIWSP is obtained according to relation (5).

[0107] S502, evaluating the target area according to the first reference wind-solar resource complementarity index to obtain an evaluation result.

[0108] In the embodiment of the present application, the computer device can evaluate the target area according to the first reference wind-solar resource complementarity index. According to relation (5), it can be seen that there are 5 cases for CIWSP (the specific classification can be classified according to the actual calculation results): in the first case, CP = and EP = 0, that is, ECP takes a positive value, CIWSP = 1, indicating the highest complementarity, that is, the output of the wind power station perfectly matches , the combined output curve is a horizontal line equal to the installed capacity of the photovoltaic power station; in the second case, CP>EP, that is, ECP takes a positive value and CIWSP>0, indicating that the wind and light resources in this area are effectively complementary; in the third case, CP=EP, that is, ECP is 0 and CIWSP=0, indicating that there is no complementary effect of wind and light resources in this area; in the fourth case, CP<EP, that is, ECP takes a negative value and CIWSP<0, indicating that there is a negative complementary effect of wind and light resources in this area; in the fifth case, EP= and CP=0, that is, ECP takes a negative value and CIWSP=-1, indicating that the wind and light resources in this area are completely non-complementary. Moreover, the value of CIWSP can also reflect the wind energy and solar energy endowments of the target area. In areas with richer solar energy resources, its value is lower, and the requirement for the performance of complementary power output is low; in areas with more superior wind resources, the value of CP is higher, indicating that the complementary potential in this area is greater. Therefore, in areas with higher CIWSP values, their spatio-temporal distribution characteristics usually tend to be consistent with areas with superior wind energy and solar energy endowments.

[0109] In an exemplary embodiment, "evaluating the target area according to the first reference wind-light resource complementarity index to obtain an evaluation result" in S502, as Figure 8 described, includes:

[0110] S601, if the value of the first reference wind-light resource complementarity index is within the first preset range, it is determined that the evaluation result indicates that the complementarity between the wind power station and the photovoltaic power station is in a very good state; the first preset range includes a first boundary value and a second boundary value.

[0111] In the embodiment of the present application, there are 5 cases for the first reference wind-light resource complementarity index CIWSP. Among them, the first case corresponds to the first preset range. The computer device calculates that the value of the first reference wind-light resource complementarity index CIWSP is within the first preset range according to the relational expressions (1) and (5), and then determines that the evaluation result of the wind-light resource complementarity in the target area is that the complementarity between the wind power station and the photovoltaic power station is in a very good state. The first preset range includes a first boundary value and a second boundary value, where the first boundary value is the maximum value of the first reference wind-light resource complementarity index CIWSP, that is, CIWSP = 1.

[0112] S602, if the value of the first reference wind-light resource complementarity index is within the second preset range, it is determined that the evaluation result indicates that the complementarity between the wind power station and the photovoltaic power station is in a good state; the second preset range includes a second boundary value and a third boundary value.

[0113] In this embodiment of the application, there are 5 cases of the first reference wind and solar resource complementarity index CIWSP. Among them, the second case corresponds to the second preset range. The computer device calculates the value of the first reference wind and solar resource complementarity index CIWSP according to the relation (1) and the relation (5). If the value is within the second preset range, the complementarity assessment result of the wind and solar resources in the target area is determined to be that the complementarity of the wind power station and the photovoltaic power station is in a good state. The second preset orientation includes the second boundary value and the third boundary value.

[0114] S603, if the value of the first reference wind and solar resource complementarity index is within the third preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is acceptable; the third preset orientation includes the third boundary value and the fourth boundary value.

[0115] In this application embodiment, there are 5 cases of the first reference wind and solar resource complementarity index CIWSP. Among them, the third case corresponds to the third preset range. The computer device calculates the value of the first reference wind and solar resource complementarity index CIWSP according to the relation (1) and the relation (5). If the value is within the third preset range, the complementarity assessment result of the wind and solar resources in the target area is determined to be that the complementarity of the wind power station and the photovoltaic power station is acceptable. The third preset orientation includes the third boundary value and the fourth boundary value.

[0116] S604, if the value of the first reference wind and solar resource complementarity index is within the fourth preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is in a poor state; the fourth preset orientation includes the fourth boundary value and the fifth boundary value.

[0117] In this application embodiment, there are 5 cases of the first reference wind and solar resource complementarity index CIWSP. Among them, the fourth case corresponds to the fourth preset range. The computer device calculates the value of the first reference wind and solar resource complementarity index CIWSP according to the relation (1) and the relation (5). If the value is within the fourth preset range, the complementarity assessment result of the wind and solar resources in the target area is determined to be that the complementarity of the wind power station and the photovoltaic power station is poor. The fourth preset orientation includes the fourth boundary value and the fifth boundary value.

[0118] S605, if the value of the first reference wind and solar resource complementarity index is within the fifth preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is poor; the fifth preset orientation includes the fifth boundary value and the sixth boundary value.

[0119] In this embodiment of the application, there are 5 cases of the first reference wind and solar resource complementarity index CIWSP. Among them, the fifth case corresponds to the fifth preset range. The computer device calculates the value of the first reference wind and solar resource complementarity index CIWSP according to the relation (1) and the relation (5). If the value is within the fifth preset range, the complementarity assessment result of the wind and solar resources in the target area is determined to be that the complementarity of the wind power station and the photovoltaic power station is poor. The fifth preset orientation includes the fifth boundary value and the sixth boundary value.

[0120] In an exemplary embodiment, the phrase "evaluate the target area and obtain the evaluation result" in S502 above, such as... Figure 9 The above includes:

[0121] S701, obtain the second reference wind and solar resource complementarity index for each reference area.

[0122] In this embodiment, before evaluating the complementarity of wind and solar resources in a target area, the computer device needs to conduct a nationwide evaluation of wind and solar resource complementarity, i.e., obtain a second reference wind and solar resource complementarity index for each reference area, so as to unify the evaluation standard. The calculation method of the second reference wind and solar resource complementarity index is the same as described above. Figures 2-7 The calculation method for the first reference wind and solar resource complementarity index described in any implementation is basically the same. For details, please refer to the foregoing explanation, which will not be repeated here.

[0123] S702, based on the values ​​of each of the second reference wind and solar resource complementarity indices, sort all reference areas from largest to smallest to obtain the sorted values ​​of all second wind and solar resource complementarity indices.

[0124] In this embodiment, the computer device acquires the second reference wind and solar resource complementarity index for each reference region, sorts the second reference wind and solar resource complementarity indices of all reference regions (such as the whole country) from largest to smallest, and calculates the mean of all the values ​​of the second reference wind and solar resource complementarity indices. The national average value of CIWSP is 0.16, and there is a significant north-south differentiation pattern. The high value center of CIWSP is mainly located in central Inner Mongolia, while the low value center of CIWSP is mainly located in the southwest region. The values ​​of the second reference wind and solar resource complementarity indices of all reference regions are sorted from largest to smallest to obtain the sorted values ​​of all the second reference wind and solar resource complementarity indices.

[0125] S703 takes the maximum value of the wind-solar resource complementarity index under ideal conditions as the value of the first boundary.

[0126] In this embodiment of the application, when the computer device evaluates the complementarity of wind and solar resources in the target area, it needs to determine the boundary values ​​of each of the five preset ranges. The first boundary value is the maximum value of the wind and solar resource complementarity index under ideal conditions, i.e., CIWSP=1.

[0127] S704, the value of the second wind and solar resource complementarity index at the first preset ranking position is used as the value of the second boundary.

[0128] In this embodiment, the computer device uses all sorted second wind-solar resource complementarity indicators as a reference database, and takes the top 1% to 15% of the second wind-solar resource complementarity indicators as the range of values ​​for a good complementarity between wind power stations and photovoltaic power stations. For example, if the second wind-solar resource complementarity indicator value corresponding to 15% is 0.4, then the value of the second boundary is 0.4, that is, the value range of the first preset ranking position is [1, 0.4]. The level threshold is based on the wind-solar resource complementarity indicator data of all reference areas (such as the whole country) arranged from largest to smallest and divided according to percentiles. In practical applications, it is necessary to combine multi-scale analysis (such as seasonally adjusted integral intervals). For example, the annual average CIWSP of a certain region is 0.18 (in an acceptable state), but the CIWSP in winter may reach 0.3 (in a good state). The level threshold of CIWSP can be divided according to the season.

[0129] S705, the value of the second wind and solar resource complementarity index at the second preset ranking position is used as the value of the third boundary; the ranking number corresponding to the second preset ranking position is greater than the ranking number of the first preset ranking position.

[0130] In this embodiment of the application, the computer device uses all the sorted second wind and solar resource complementarity indicators as a reference database, and takes the first 15% to 25% of the second wind and solar resource complementarity indicators as the range of values ​​for the complementarity of wind power stations and photovoltaic power stations to be in a good state. For example, if the value of the second wind and solar resource complementarity indicator corresponding to 25% is 0.22, then the value of the third boundary is 0.22, that is, the value range of the second preset ranking position is [0.4, 0.22].

[0131] S706, the value of the second wind and solar resource complementarity index at the third preset ranking position is used as the value of the fourth boundary; the ranking number corresponding to the third preset ranking position is greater than the ranking number of the second preset ranking position.

[0132] In this embodiment of the application, the computer device uses all the sorted second wind and solar resource complementarity indicators as a reference database, and takes the first 25% to 50% of the second wind and solar resource complementarity indicators as the range of values ​​for which the complementarity of wind power stations and photovoltaic power stations is acceptable. For example, if the value of the second wind and solar resource complementarity indicator corresponding to 50% is 0.14, then the value of the fourth boundary is 0.14, that is, the value range of the third preset ranking position is [0.22, 0.14].

[0133] S707, the value of the second wind and solar resource complementarity index at the fourth preset ranking position is used as the value of the fifth boundary; the ranking number corresponding to the fourth preset ranking position is greater than the ranking number of the third preset ranking position.

[0134] In this embodiment of the application, the computer device uses all the sorted second wind and solar resource complementarity indicators as a reference database, and takes the first 50% to 75% of the second wind and solar resource complementarity indicators as the range of values ​​for the complementarity of wind power stations and photovoltaic power stations in a poor state. For example, if the value of the second wind and solar resource complementarity indicator corresponding to 75% is 0.07, then the value of the fifth boundary is 0.07, that is, the value range of the fourth preset ranking position is [0.14, 0.07].

[0135] S708, the value of the second wind and solar resource complementarity index at the fifth preset ranking position is used as the value of the sixth boundary; the ranking number corresponding to the fifth preset ranking position is greater than the ranking number of the fourth preset ranking position.

[0136] In this embodiment of the application, the computer device uses all sorted second wind and solar resource complementarity indices as a reference database, takes the first 75% to 95% of the second wind and solar resource complementarity indices as the range of values ​​for the poor complementarity state of wind power stations and photovoltaic power stations, and takes the minimum value of the wind and solar resource complementarity indices under the poor state as the sixth boundary value, i.e. CIWSP=-1, as shown in Table 1.

[0137] Table 1. Wind-Solar Complementarity Level

[0138] Complementarity grade CIWSP Very good [0.4, 1] Good [0.22, 0.4) Acceptable [0.14, 0.22) Suboptimal [0.07, 0.14) Poor [-1, 0.07)

[0139] In summary, based on all the above embodiments, a multi-scale complementarity evaluation method for wind and solar resources is also provided, such as... Figure 10 As shown, the method includes:

[0140] S801, acquire power data of wind power stations and photovoltaic power stations in the target area within a preset time period;

[0141] S802 generates a combined output curve and a complementary curve based on power data; the combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station in the same time period; the complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement to the photovoltaic power station in a preset time period.

[0142] S803: Based on the difference between the combined power output curve and the complementary curve, the first complementary power of the wind power station and the photovoltaic power station at each moment within a preset time period is obtained, and the first complementary power at each moment is integrated to obtain the second complementary power within the preset time period.

[0143] S804: Extract the first surplus electricity of the wind power station at each moment within a preset time period from the power data of the wind power station and the complementary curve, and perform an integral calculation on the first surplus electricity at each moment to obtain the second surplus electricity within the preset time period.

[0144] S805, perform difference calculation on the second complementary power and the second surplus power within a preset time period to obtain the effective complementary power within the preset time period.

[0145] S806 calculates the ratio of effective complementary power to ideal power at the corresponding time to obtain the first wind and solar resource complementarity index at the corresponding time.

[0146] S807, calculate the first wind and solar resource complementarity index at the corresponding time as the first reference wind and solar resource complementarity index;

[0147] S808, if the value of the first reference wind and solar resource complementarity index is within the first preset range, then the evaluation result indicates that the complementarity between the wind power station and the photovoltaic power station is in a very good state; the first preset range includes the first boundary value and the second boundary value;

[0148] S809, if the value of the first reference wind and solar resource complementarity index is within the second preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is in a good state; the second preset orientation includes the second boundary value and the third boundary value;

[0149] S810, if the value of the first reference wind and solar resource complementarity index is within the third preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is acceptable; the third preset orientation includes the third boundary value and the fourth boundary value;

[0150] S811, if the value of the first reference wind and solar resource complementarity index is within the fourth preset range, then the assessment result indicates that the complementarity between the wind power station and the photovoltaic power station is unsatisfactory; the fourth preset orientation includes the fourth boundary value and the fifth boundary value;

[0151] S812, if the value of the first reference wind and solar resource complementarity index is within the fifth preset range, then the assessment result indicates that the complementarity of the wind power station and the photovoltaic power station is poor; the fifth preset orientation includes the fifth boundary value and the sixth boundary value.

[0152] S813, obtain the second reference wind and solar resource complementarity index for each reference area;

[0153] S814, based on the values ​​of each of the second reference wind and solar resource complementarity indices, sort all the reference areas from largest to smallest to obtain the sorted values ​​of all the second wind and solar resource complementarity indices;

[0154] S815, the maximum value of the wind-solar resource complementarity index under ideal conditions is taken as the value of the first boundary;

[0155] S816, take the value of the second wind and solar resource complementarity index at the first preset ranking position as the value of the second boundary;

[0156] S817, the value of the second wind and solar resource complementarity index at the second preset ranking position is used as the value of the third boundary; the ranking number corresponding to the second preset ranking position is greater than the ranking number of the first preset ranking position;

[0157] S818, the value of the second wind and solar resource complementarity index at the third preset ranking position is used as the value of the fourth boundary; the ranking number corresponding to the third preset ranking position is greater than the ranking number of the second preset ranking position;

[0158] S819, the value of the second wind and solar resource complementarity index at the fourth preset ranking position is used as the value of the fifth boundary; the ranking number corresponding to the fourth preset ranking position is greater than the ranking number of the third preset ranking position;

[0159] S820, the value of the second wind and solar resource complementarity index at the fifth preset ranking position is used as the value of the sixth boundary; the ranking number corresponding to the fifth preset ranking position is greater than the ranking number of the fourth preset ranking position.

[0160] The methods described in each of the above steps have been described in the foregoing embodiments. For details, please refer to the foregoing descriptions. They will not be repeated here.

[0161] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0162] Based on the same inventive concept, this application also provides a device for implementing the multi-scale complementarity evaluation of wind and solar resources as described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of a multi-scale complementarity evaluation device for wind and solar resources provided below can be found in the limitations of the multi-scale complementarity evaluation method for wind and solar resources described above, and will not be repeated here.

[0163] In one exemplary embodiment, such as Figure 11 As shown, a multi-scale complementarity evaluation device for wind and solar resources is provided, comprising:

[0164] The power data module 901 is used to acquire power data of wind power stations and photovoltaic power stations in the target area within a preset time period.

[0165] Curve module 902 is used to generate a combined output curve and a complementary curve based on power data; the combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station in the same time period; the complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement to the photovoltaic power station in a preset time period.

[0166] Evaluation module 903 evaluates the complementarity of the output power of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data, and obtains the evaluation results.

[0167] In one embodiment, the evaluation module 903 includes:

[0168] The second complementary power unit is used to obtain the first complementary power of the wind power station and the photovoltaic power station at each moment within a preset time period based on the difference between the combined power output curve and the complementary curve, and to perform an integral calculation on the first complementary power at each moment to obtain the second complementary power within the preset time period.

[0169] The second surplus power unit is used to extract the first surplus power of the wind power station at each moment within a preset time period from the power data of the wind power station and the complementary curve, and to perform an integral operation on the first surplus power at each moment to obtain the second surplus power within the preset time period.

[0170] The evaluation result unit is used to evaluate the complementarity of the output power of wind power plants and photovoltaic power plants based on the second complementary power and the second surplus power, and obtain the evaluation result.

[0171] In one embodiment, the above-mentioned evaluation result unit includes:

[0172] The effective complementary power sub-unit is used to perform difference calculation on the second complementary power and the second surplus power within a preset time period to obtain the effective complementary power within the preset time period.

[0173] The first wind-solar resource complementarity index subunit is used to calculate the ratio of effective complementary power to the ideal power at the corresponding time to obtain the first wind-solar resource complementarity index at the corresponding time.

[0174] The target area assessment subunit is used to assess the target area based on the first wind and solar resource complementarity index and obtain the assessment results.

[0175] In one embodiment, the aforementioned target area assessment subunit is specifically used to calculate a first wind-solar resource complementarity index at a corresponding time as a first reference wind-solar resource complementarity index; and to assess the target area based on the first reference wind-solar resource complementarity index to obtain the assessment result.

[0176] The modules in the aforementioned multi-scale complementarity evaluation device for wind and solar resources can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0177] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 12 As shown.

[0178] The computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a multi-scale complementarity evaluation method for wind and solar resources. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display (LCD) or an e-ink display, and the output device can be a touch layer covering the display screen.

[0179] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0180] Acquire power data from wind power plants and photovoltaic power plants in the target area within a preset time period;

[0181] Based on power data, a combined output curve and a complementary curve are generated. The combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement the photovoltaic power station within a preset time period.

[0182] The evaluation results are obtained by assessing the complementarity of the power output of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data.

[0183] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0184] Acquire power data from wind power plants and photovoltaic power plants in the target area within a preset time period;

[0185] Based on power data, a combined output curve and a complementary curve are generated. The combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period. The complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement the photovoltaic power station within a preset time period.

[0186] The evaluation results are obtained by assessing the complementarity of the power output of wind power plants and photovoltaic power plants based on the difference between the combined output curve and the complementary curve, as well as the power data.

[0187] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0188] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0189] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A multi-scale complementarity evaluation method for wind and solar resources, characterized in that, The method includes: Acquire power data from wind power plants and photovoltaic power plants in the target area within a preset time period; A combined power output curve and a complementary curve are generated based on the power data; the combined power output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period; the complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement to the photovoltaic power station within the preset time period. The complementarity of the power output of the wind power station and the photovoltaic power station is evaluated based on the difference between the combined output curve and the complementary curve, as well as the power data, to obtain the evaluation result.

2. The method according to claim 1, characterized in that, The evaluation of the complementarity of the output power of the wind power station and the photovoltaic power station based on the difference between the combined output curve and the complementary curve, and the power data, yields an evaluation result, including: Based on the difference between the combined power output curve and the complementary curve, the first complementary power of the wind power station and the photovoltaic power station at each moment within the preset time period is obtained, and the first complementary power at each moment is integrated to obtain the second complementary power within the preset time period. Extract the first surplus electricity of the wind power station at each moment within the preset time period from the power data of the wind power station and the complementary curve, and perform an integral operation on the first surplus electricity at each moment to obtain the second surplus electricity within the preset time period; The complementarity of the output power of the wind power station and the photovoltaic power station is evaluated based on the second complementary power and the second surplus power, and the evaluation result is obtained.

3. The method according to claim 2, characterized in that, The evaluation of the complementarity of the output power of the wind power station and the photovoltaic power station based on the second complementary power and the second surplus power, and the resulting evaluation, includes: The difference between the second complementary power and the second surplus power within the preset time period is calculated to obtain the effective complementary power within the preset time period. The ratio of the effective complementary power to the ideal power at the corresponding time is calculated to obtain the first wind and solar resource complementarity index at the corresponding time. The target area is evaluated based on the first wind and solar resource complementarity index to obtain the evaluation result.

4. The method according to claim 3, characterized in that, The step of evaluating the target area based on the first wind-solar resource complementarity index to obtain the evaluation result includes: The first wind and solar resource complementarity index at the corresponding time is calculated as the first reference wind and solar resource complementarity index. The target area is evaluated based on the first reference wind and solar resource complementarity index to obtain the evaluation result.

5. The method according to claim 4, characterized in that, The step of evaluating the target area based on the first reference wind and solar resource complementarity index to obtain the evaluation result includes: If the value of the first reference wind and solar resource complementarity index is within a first preset range, then the evaluation result indicates that the complementarity between the wind power station and the photovoltaic power station is in a very good state; the first preset range includes a first boundary value and a second boundary value. If the value of the first reference wind and solar resource complementarity index is within the second preset range, then the evaluation result indicates that the complementarity between the wind power station and the photovoltaic power station is in a good state; the second preset orientation includes the second boundary value and the third boundary value; If the value of the first reference wind and solar resource complementarity index is within the third preset range, then the evaluation result indicates that the complementarity of the wind power station and the photovoltaic power station is acceptable; the third preset orientation includes the third boundary value and the fourth boundary value; If the value of the first reference wind and solar resource complementarity index is within the fourth preset range, then the evaluation result indicates that the complementarity between the wind power station and the photovoltaic power station is poor; the fourth preset orientation includes the fourth boundary value and the fifth boundary value; If the value of the first reference wind and solar resource complementarity index is within the fifth preset range, then the evaluation result indicates that the complementarity of the wind power station and the photovoltaic power station is poor; the fifth preset orientation includes the fifth boundary value and the sixth boundary value.

6. The method according to claim 5, characterized in that, The method further includes: Obtain the second reference wind and solar resource complementarity index for each reference area; Based on the values ​​of each of the second reference wind and solar resource complementarity indices, all the reference areas are sorted from largest to smallest to obtain the sorted values ​​of all the second wind and solar resource complementarity indices. The maximum value of the wind-solar resource complementarity index under ideal conditions is taken as the value of the first boundary. The value of the second wind and solar resource complementarity index at the first preset ranking position is used as the value of the second boundary; The value of the second wind and solar resource complementarity index at the second preset ranking position is used as the value of the third boundary; the ranking number corresponding to the second preset ranking position is greater than the ranking number of the first preset ranking position; The value of the second wind and solar resource complementarity index at the third preset ranking position is used as the value of the fourth boundary; the ranking number corresponding to the third preset ranking position is greater than the ranking number of the second preset ranking position; The value of the second wind and solar resource complementarity index at the fourth preset ranking position is used as the value of the fifth boundary; the ranking number corresponding to the fourth preset ranking position is greater than the ranking number of the third preset ranking position; The value of the second wind and solar resource complementarity index at the fifth preset ranking position is used as the value of the sixth boundary; the ranking number corresponding to the fifth preset ranking position is greater than the ranking number of the fourth preset ranking position.

7. A multi-scale complementarity evaluation device for wind and solar resources, characterized in that, The device includes: The power data module is used to acquire power data of wind power plants and photovoltaic power plants in the target area within a preset time period; The curve module is used to fit a combined output curve and a complementary curve based on the power data; the combined output curve is used to characterize the combined power change of the wind power station and the photovoltaic power station within the same time period; the complementary curve is used to characterize the ideal amount of electricity that the wind power station needs to supplement to the photovoltaic power station within the preset time period. The evaluation module assesses the complementarity of the output power of the wind power station and the photovoltaic power station based on the difference between the combined output curve and the complementary curve, as well as the power data, and obtains the evaluation result.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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