A method, apparatus, equipment and storage medium for assessing solar energy resources

Abstract

This application provides a method, apparatus, equipment, and storage medium for solar energy resource assessment. The method includes acquiring actual power generation data of a first photovoltaic power station over N historical years, wherein the similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where a second photovoltaic power station is located is greater than a preset value, the first photovoltaic power station is an existing photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station; acquiring X sets of photovoltaic data over N historical years; acquiring X sets of total solar radiation data corresponding to the X sets of photovoltaic data; and determining the solar energy resource assessment data for a representative year of the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data. This method can better meet the requirements for refined solar energy resource assessment and improve the reliability of solar energy resource assessment.

Description

Technical Field

[0001] This application relates to the field of resource assessment, and more particularly to a method, apparatus, equipment and storage medium for assessing solar energy resources. Background Technology

[0002] In the field of solar energy resource assessment, with the rapid development of the photovoltaic power generation industry, the requirements for the accuracy and reliability of representative year analysis of solar energy resources are increasing. Traditional methods for analyzing representative years of solar energy resources directly use the average value of total horizontal radiation over more than 10 years from reference meteorological station data or gridded mesoscale data as representative year data. These methods are insufficient to meet the requirements of refined solar energy resource assessment, resulting in low reliability of the assessment results. Summary of the Invention

[0003] This application provides a method, apparatus, device, and storage medium for solar energy resource assessment, in order to solve the problem that existing methods are difficult to meet the requirements for refined assessment of solar energy resources and have low reliability.

[0004] To solve the above-mentioned technical problems, this application is implemented as follows:

[0005] In a first aspect, embodiments of this application provide a method for assessing solar energy resources. The method includes:

[0006] Obtain the actual power generation data of the first photovoltaic power station over the past N years. The similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value. The first photovoltaic power station is an operational photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station. N is an integer greater than 1.

[0007] Retrieve X sets of photovoltaic data over N historical years, where X is an integer greater than 1;

[0008] Obtain X sets of total solar radiation data corresponding to the X sets of photovoltaic data;

[0009] Based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups, the solar energy resource assessment data for the representative year of the second photovoltaic power station is determined.

[0010] Optionally, determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data includes:

[0011] Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years.

[0012] The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

[0013] Optionally, after determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data, the method further includes:

[0014] Obtain the actual photovoltaic data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N;

[0015] Based on the actual photovoltaic data and the solar energy resource assessment data for the representative year of the second photovoltaic power station, the estimated total solar radiation data for the representative year of the second photovoltaic power station is determined;

[0016] Based on the actual total solar radiation data in the actual photovoltaic data and the estimated total solar radiation data for the representative year of the second photovoltaic power station, the solar energy resource assessment data for the representative year of the second photovoltaic power station is adjusted.

[0017] Optionally, obtaining the actual power generation data of the first photovoltaic power station over historical N years includes:

[0018] Obtain the power generation data of the first photovoltaic power station over N historical years;

[0019] The power generation loss of the first photovoltaic power station over the historical N years is statistically analyzed, and the power generation loss is the power generation loss caused by maintenance and power curtailment of the first photovoltaic power station.

[0020] Based on the power generation data of the first photovoltaic power station over the past N years and the power loss, the actual power generation data of the first photovoltaic power station over the past N years is determined.

[0021] Optionally, the proportion of the effective measurement hours of the second photovoltaic power station in the year Y to the total number of hours in the year is not less than the second threshold, and the continuous measurement absence time in the year Y does not exceed P days.

[0022] Secondly, embodiments of this application also provide a solar energy resource assessment device, the device comprising:

[0023] The first acquisition module is used to acquire the actual power generation data of the first photovoltaic power station over the past N years. The similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value. The first photovoltaic power station is an already operating photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station. N is an integer greater than 1.

[0024] The second acquisition module is used to acquire X sets of photovoltaic data over N historical years, where X is an integer greater than 1;

[0025] The third acquisition module is used to acquire X sets of total solar radiation data corresponding to the X sets of photovoltaic data;

[0026] The first determining module is used to determine the solar energy resource assessment data for the representative year of the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups.

[0027] Optionally, the first determining module is used to:

[0028] Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years.

[0029] The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

[0030] Optionally, the device further includes:

[0031] The fourth acquisition module is used to acquire the actual photometric data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N;

[0032] The second determining module is used to determine the total solar radiation data of the second photovoltaic power station in a representative year based on the actual photometric data and the solar energy resource assessment data of the second photovoltaic power station in a representative year.

[0033] Optionally, the first acquisition module is used to:

[0034] Obtain the power generation data of the first photovoltaic power station over N historical years;

[0035] The power generation loss of the first photovoltaic power station over the historical N years is statistically analyzed, and the power generation loss is the power generation loss caused by maintenance and power curtailment of the first photovoltaic power station.

[0036] Based on the power generation data of the first photovoltaic power station over the past N years and the power loss, the actual power generation data of the first photovoltaic power station over the past N years is determined.

[0037] Optionally, the proportion of the effective measurement hours of the second photovoltaic power station in the year Y to the total number of hours in the year is not less than the second threshold, and the continuous measurement absence time in the year Y does not exceed P days.

[0038] Thirdly, embodiments of this application also provide an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the solar energy resource assessment method described above.

[0039] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the solar energy resource assessment method described above.

[0040] The solar energy resource assessment method provided in this application includes: acquiring actual power generation data of a first photovoltaic power station over N historical years, wherein the similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where a second photovoltaic power station is located is greater than a preset value, the first photovoltaic power station is an operational photovoltaic power station, the second photovoltaic power station is a newly built photovoltaic power station, and N is an integer greater than 1; acquiring X sets of photovoltaic data over N historical years, where X is an integer greater than 1; acquiring X sets of total solar radiation data corresponding to the X sets of photovoltaic data; and determining the solar energy resource assessment data for a representative year of the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data. This method selects an existing photovoltaic power station with high similarity in terrain features to the newly built second photovoltaic power station and obtains its multi-year power generation data. Since terrain features affect the reception of solar energy resources, similar terrain means that the two have similar solar energy resource utilization. Multi-year data can also reduce the influence of random factors, thus improving the reliability and representativeness of power generation data. Obtaining multiple sets of total solar radiation data from different sources reduces the errors caused by single data sources or simple analysis methods. Based on the above-mentioned targeted power generation data and multiple sets of total solar radiation data, solar energy resource assessment data is determined, which can better meet the requirements of refined solar energy resource assessment and improve the reliability of solar energy resource assessment. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart of the solar energy resource assessment method provided in the embodiments of this application;

[0043] Figure 2 This is a structural diagram of a solar energy resource assessment device provided in an embodiment of this application;

[0044] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] This application provides a method for assessing solar energy resources. See also... Figure 1 , Figure 1 This is a flowchart of the solar energy resource assessment method provided in the embodiments of this application, such as... Figure 1 As shown, it includes the following steps:

[0047] Step 101: Obtain the actual power generation data of the first photovoltaic power station over the past N years. The similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value. The first photovoltaic power station is an operational photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station. N is an integer greater than 1.

[0048] In this step, to ensure that the acquired data is valuable for assessing the solar resources of the newly built second photovoltaic power station, specific conditions were set when selecting the first photovoltaic power station. The first photovoltaic power station refers to an already operational photovoltaic power station whose terrain features are more similar to those of the area where the second photovoltaic power station is located than a preset value. These terrain features include, but are not limited to, altitude, slope, aspect, and landform type (such as mountains, plains, hills, etc.). The preset value can be a numerical standard pre-set based on experimental data or industry experience to measure the similarity between the terrain of two areas, used to select a suitable first photovoltaic power station. For example, Geographic Information System (GIS) technology can be used to quantitatively analyze terrain data and determine terrain similarity. When the comprehensive evaluation scores of two areas in terms of altitude difference, slope difference, aspect angle difference, and landform type similarity reach a certain value (i.e., the preset value), it can be considered that the terrain features of the area where the first photovoltaic power station is located are relatively similar to those of the area where the newly built second photovoltaic power station is located.

[0049] The N mentioned above is an integer greater than 1. Setting N greater than 1 is because data from multiple years is needed to reflect the long-term trend and changing patterns of power generation, thus improving the accuracy of subsequent analysis. The selection of the number of years N is usually determined based on the actual project requirements and data availability. By obtaining the actual power generation data of the first photovoltaic power station over N historical years, practical operational data support is provided for the subsequent evaluation of the solar resources of the second photovoltaic power station. Generally speaking, to ensure the accuracy and reliability of the evaluation, for large-scale photovoltaic power station projects, N can be taken as 5-10 years.

[0050] In some optional embodiments, when actually acquiring the historical N-year actual power generation data of the first photovoltaic power station, the data can be rigorously screened and preprocessed. First, to ensure data integrity, it is necessary to check for missing years or periods. If missing data exists, it can be supplemented using reasonable methods, such as referencing data from similar power stations in the surrounding area during the same period or using data analysis models for estimation. Second, the data can be cleaned to remove outliers, such as sudden drops or increases in power generation due to equipment malfunctions, and unreasonable data resulting from recording errors. For example, when encountering abnormal data caused by extreme weather (such as rare sandstorms affecting sunlight and causing a sudden drop in power generation), data mining algorithms such as time series analysis and cluster analysis can be used to identify such abnormal data, and reasonable interpolation or correction methods can be adopted, such as imputation based on historical similar weather data or repair methods using machine learning prediction models, to ensure data accuracy.

[0051] Step 102: Obtain X sets of photovoltaic data over N historical years, where X is an integer greater than 1;

[0052] For example, the aforementioned photovoltaic data may include at least one of the following: measured data from national-level radiation station chief sequence, calculated data from reference meteorological station chief sequence, and gridded long-sequence calculated data (Solargis, Meternorm, NASA data, etc.), with a data period of at least 10 years.

[0053] There are a total of 98 national-level radiation stations, including 17 first-level radiation stations, 33 second-level radiation stations, and 48 third-level radiation stations. National first-level radiation stations can monitor elements such as total solar radiation, direct radiation, scattered radiation, reflected radiation, and net radiation. Second-level radiation stations can monitor total radiation and net radiation, and third-level radiation stations can monitor total radiation.

[0054] When calculating solar energy resources using reference meteorological stations, the following formula is used:

[0055] Total radiation:

[0056] Q = Q0(a + b·s)

[0057] Direct radiation:

[0058] Q = Q0(a·s1 + b·s2)

[0059] In the formula, s is the percentage of sunshine, a and b are empirical coefficients, and Q0 is the extraterrestrial solar radiation.

[0060] Solargis, a gridded long-sequence computational database, is a collection of solar radiation, photovoltaic data, meteorological, and geographic elements. Based on this database, scientific algorithms are used to calculate data services such as solar resource assessment and photovoltaic power generation simulation. Solargis data provides detailed data covering more than 10 years globally, with time resolutions at the monthly, daily, hourly, and 30-minute levels. Parameters provided include time series and typical meteorological year data for total horizontal irradiance, tilted surface irradiance, direct irradiance, scattering, and temperature, with a resolution accurate to 250 meters. The Meternorm data source uses meteorological station data, covering measured meteorological data from 8325 stations, including total radiation, direct radiation, temperature, precipitation, humidity, and wind speed. In areas lacking meteorological stations, mathematical models are used for interpolation calculations. The NASA Ground Radiation Database first obtains radiation from the top of the atmosphere through satellites and other means, then uses cloud distribution maps, ozone layer distribution maps, and suspended particulate matter distribution data, employing complex modeling and calculations to obtain total surface radiation data. In addition, the China Meteorological Administration has also developed domestically produced satellite inversion gridded data, and carried out solar energy resource monitoring and assessment based on FY-4A / 4B, with a spatial resolution of 4 kilometers and a temporal resolution of 15 minutes / 1 hour. The monitoring and assessment elements include total horizontal radiation, direct radiation, and diffuse radiation.

[0061] Step 103: Obtain X sets of total solar radiation data corresponding to the X sets of photovoltaic data;

[0062] In this step, the total solar radiation data is directly related to the annual power generation of the photovoltaic power station. The interannual variation of the total solar radiation data directly reflects the variation of the annual power generation of the photovoltaic power station. Each set of photovoltaic data has corresponding total solar radiation data. For example, after obtaining the photovoltaic data (A1, A2...AN), the historical total solar radiation data (B1, B2...BN) for the corresponding year of each set of photovoltaic data is obtained. The total solar radiation data can be the annual average total solar radiation data or can be expressed in other forms. This application embodiment does not specifically limit this.

[0063] Step 104: Based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups, determine the solar energy resource assessment data for the representative year of the second photovoltaic power station.

[0064] In this step, since total solar radiation data is directly related to the annual power generation of the photovoltaic power station, the interannual variation of total solar radiation directly reflects the variation of the annual power generation of the photovoltaic power station. Based on the obtained actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data, correlation analysis, mathematical model establishment, or comparative correction methods can be used to determine the representative year's solar resource assessment data for the second photovoltaic power station.

[0065] In the solar energy resource assessment method of this application embodiment, a first photovoltaic power station with high similarity to the terrain features of the second photovoltaic power station is selected, and its multi-year power generation data is obtained. Since terrain features affect the reception of solar energy resources, similar terrain means that the two have similar solar energy resource utilization. Multi-year data can also reduce the influence of random factors, thereby improving the reliability and representativeness of power generation data. Obtaining multiple sets of total solar radiation data from different sources reduces the errors caused by a single data source or simple analysis method. Based on the above-mentioned targeted power generation data and multiple sets of total solar radiation data, solar energy resource assessment data is determined, which can better meet the requirements of refined solar energy resource assessment and improve the reliability of solar energy resource assessment.

[0066] Optionally, determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data includes:

[0067] Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years.

[0068] The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

[0069] In the solar energy resource assessment method of this application embodiment, the principle of close correlation between total solar radiation and photovoltaic power plant power generation is applied. Total solar radiation is a key factor affecting the power generation of photovoltaic power plants, and the degree of correlation can be quantified by analyzing the correlation between the two. For example, suppose that in a certain region, the actual power generation data of the first photovoltaic power plant over the past 5 years (N=5) are E1, E2, E3, E4, and E5, and 10 sets (X=10) of total solar radiation data X1, X2, X3..., X10 are obtained. Using correlation analysis methods (such as the Pearson correlation coefficient calculation method), the correlation coefficients between each set of total solar radiation data and power generation data can be calculated, namely R1, R2, R3..., R10.

[0070] The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient exceeding the first threshold was selected as the representative year's solar resource assessment data for the second photovoltaic power station. The first threshold was set to filter out data with a high degree of correlation to power generation data. For example, setting the first threshold to 0.8, among the 10 calculated correlation coefficients, R3 = 0.9, which is greater than 0.8 and the highest, was selected as the representative year's solar resource assessment data for the second photovoltaic power station. This is because it has the strongest correlation with the power generation data of the first photovoltaic power station and more accurately reflects the relationship between solar resources and power generation in the region. Using this data as a basis for assessing the solar resources of the second photovoltaic power station can improve the accuracy and reliability of the assessment results.

[0071] By performing correlation analysis on multiple sets of total solar radiation data and the power generation data of the first photovoltaic power station, the data with the strongest correlation were selected to determine the evaluation results. This approach accurately identifies the solar resource data most closely related to actual power generation, avoiding evaluation errors caused by improper data selection. Compared to traditional methods that directly use average data or simple correlation data for evaluation, this method better reflects the actual utilization of solar resources and provides more accurate solar resource evaluation data for the second photovoltaic power station.

[0072] Optionally, after determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data, the method further includes:

[0073] Obtain the actual photometric data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N;

[0074] Based on the actual photometric data and the solar energy resource assessment data for the representative year of the second photovoltaic power station, the total solar radiation data for the representative year of the second photovoltaic power station is determined.

[0075] In the solar energy resource assessment method of this application embodiment, the acquisition of the actual photometric data of the second photovoltaic power station in year Y is a direct monitoring result of the solar energy resources at the second photovoltaic power station site, including information such as solar radiation intensity and duration. For example, assuming that the second photovoltaic power station has been operating for 2 years (Y=2), during these 2 years, solar radiation data at different times of day are recorded by photometric equipment. These data reflect the actual solar energy resources received by the power station.

[0076] The above-mentioned method determines the total solar radiation data for the representative year based on actual photometric data and previously determined solar energy resource assessment data for a representative year. This process combines theoretical assessment with actual monitoring. For example, the solar energy resource assessment data for the representative year of the second photovoltaic power station, determined earlier using historical data from the first photovoltaic power station and multiple sets of total solar radiation data, shows that the theoretical average solar radiation for the region in that year is D1. However, the actual photometric data for these two years yielded an average solar radiation of D2. By comparing and analyzing D1 and D2, the difference between them is calculated. If the deviation between D1 and D2 is large, it may mean that there are some factors that were not considered in the previous assessment, such as unique local weather changes or the special influence of topography on radiation. In this case, it is necessary to adjust the total solar radiation data for the previously determined representative year to better reflect the actual situation. The adjustment method can be to correct the total solar radiation data for the representative year based on the ratio between D1 and D2; or to re-examine the previous assessment process, add new influencing factors, and recalculate to finally determine a more accurate total solar radiation data for the representative year. This application does not specifically limit the specific adjustment method.

[0077] In the solar energy resource assessment method of this application embodiment, after completing the preliminary assessment of solar energy resources of the second photovoltaic power station in the representative year, the actual photometric data of the second photovoltaic power station in year Y is further obtained and analyzed in a secondary manner to verify and optimize the previous assessment results. Based on this, it is determined that the total solar radiation data of the representative year can better adapt to the influence of complex factors caused by different regions of the photovoltaic power station, so that the assessment results are more in line with the local actual conditions of the newly built photovoltaic power station, thereby improving the reliability of solar energy resource assessment data.

[0078] Optionally, obtaining the actual power generation data of the first photovoltaic power station over historical N years includes:

[0079] Obtain the power generation data of the first photovoltaic power station over N historical years;

[0080] The power generation loss of the first photovoltaic power station over the historical N years is statistically analyzed, and the power generation loss is the power generation loss caused by maintenance and power curtailment of the first photovoltaic power station.

[0081] Based on the power generation data of the first photovoltaic power station over the past N years and the power loss, the actual power generation data of the first photovoltaic power station over the past N years is determined.

[0082] In the solar energy resource assessment method of this application embodiment, the aforementioned acquisition of the power generation data of the first photovoltaic power station over historical N years generally comes from the power station operation record system, covering the power generation information of the power station for each time period in N years. Assuming that the first photovoltaic power station has been operating for 5 years (N=5), the power generation data for each year, month, or even day of these 5 years can be directly exported from the power station's monitoring system. For example, if the power generation in the first year is E, then the power generation in January is E1, the power generation in February is E2, and so on.

[0083] The power generation loss of the aforementioned photovoltaic power station over historical N years refers to the losses caused by non-natural factors such as maintenance and power curtailment. Maintenance is a regular upkeep activity to ensure the normal operation of the power station equipment, during which the power station will stop generating electricity; power curtailment may be due to grid load, policies, etc., preventing the power station from generating at full power. We can first select photovoltaic power stations without large-scale maintenance and with significant power curtailment, or we can calculate and statistically analyze the power generation loss caused by large-scale maintenance and significant power curtailment. For example, taking the first year as an example, assuming that the planned equipment maintenance was carried out 3 times that year, with each maintenance causing power outages of 2 days, 3 days, and 1 day respectively, based on the power data when the power station was generating at full power, the power generation loss caused by maintenance can be calculated as P×(2+3+1)×24 (assuming 24 hours per day). If the power generation loss due to power curtailment in that year is calculated as E_curtailment by statistically analyzing the power difference and duration of relevant time periods, then adding the maintenance and curtailment losses gives the power generation loss E_loss for the first year. Finally, based on the power generation data and power loss of the first photovoltaic power station over N historical years, the actual power generation data is determined. Taking the first year as an example, the actual power generation Eactual = Etotal - Eloss. Applying the above calculation method to each of the five years yields complete historical N-year actual power generation data.

[0084] In the solar energy resource assessment method of this application embodiment, by separately calculating the lost power generation and correcting the original power generation data, the impact of non-natural factors such as maintenance and power curtailment on power generation is effectively eliminated. This makes the obtained actual power generation data more realistically reflect the power generation capacity of the power station under natural solar energy resource conditions, providing an accurate data basis for subsequent analysis of the relationship between solar energy resources and power generation, thereby improving the reliability of subsequent determination of solar energy resource assessment results.

[0085] Optionally, the proportion of the effective measurement hours of the second photovoltaic power station in the year Y to the total number of hours in the year is not less than the second threshold, and the continuous measurement absence time in the year Y does not exceed P days.

[0086] The requirement that the proportion of effective measurement hours of the second photovoltaic power station in year Y to the total annual measurement hours be no less than the second threshold, and that the consecutive measurement absence time in year Y not exceed P days, aims to ensure that the acquired actual photometric data has high quality and continuity, and can truly reflect the solar energy resource status of the area where the second photovoltaic power station is located. The second threshold is a key indicator for measuring data validity, set based on industry standards, practical experience, and data accuracy requirements. Assuming the second threshold is set at 95%, and P is set at 3 days, taking Y as 1 year (8760 hours) as an example, if the second photovoltaic power station achieves more than 8760 × 95% = 8322 hours of effective measurement hours in this year, and the measurement absence time in any consecutive period does not exceed 3 days, then the photometric data for that year meets the requirements. In actual monitoring, if there is no data for 2 days in a week due to equipment failure, but the remaining time is measured normally, and the annual effective measurement hours meet the standard, such data can still be used for subsequent evaluation. If the continuous measurement absence time exceeds 3 days, the data may not accurately reflect the changes in solar energy resources during that period, affecting the accuracy of the evaluation.

[0087] In the solar energy resource assessment method of this application embodiment, a high proportion of effective measurement hours ensures that the collected data covers a sufficient amount of solar energy resource changes, reducing information omissions due to data gaps. Limiting the continuous measurement gap time avoids trend misjudgments caused by long-term data interruptions, making the acquired data more accurately reflect the actual changing patterns of solar energy resources and improving the reliability of subsequent determination of representative year total solar radiation data.

[0088] See Figure 2 , Figure 2 This is a structural diagram of a solar energy resource assessment device provided in another embodiment of this application.

[0089] like Figure 2 As shown, the solar energy resource assessment device 200 includes:

[0090] The first acquisition module is used to acquire the actual power generation data of the first photovoltaic power station over the past N years. The similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value. The first photovoltaic power station is an already operating photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station. N is an integer greater than 1.

[0091] The second acquisition module is used to acquire X sets of photovoltaic data over N historical years, where X is an integer greater than 1;

[0092] The third acquisition module is used to acquire X sets of total solar radiation data corresponding to the X sets of photovoltaic data;

[0093] The first determining module is used to determine the solar energy resource assessment data for the representative year of the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups.

[0094] Optionally, the first determining module is used to:

[0095] Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years.

[0096] The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

[0097] Optionally, the device further includes:

[0098] The fourth acquisition module is used to acquire the actual photometric data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N;

[0099] The second determining module is used to determine the total solar radiation data of the second photovoltaic power station in a representative year based on the actual photometric data and the solar energy resource assessment data of the second photovoltaic power station in a representative year.

[0100] Optionally, the first acquisition module is used to:

[0101] Obtain the power generation data of the first photovoltaic power station over N historical years;

[0102] The power generation loss of the first photovoltaic power station over the historical N years is statistically analyzed, and the power generation loss is the power generation loss caused by maintenance and power curtailment of the first photovoltaic power station.

[0103] Based on the power generation data of the first photovoltaic power station over the past N years and the power loss, the actual power generation data of the first photovoltaic power station over the past N years is determined.

[0104] Optionally, the proportion of the effective measurement hours of the second photovoltaic power station in the year Y to the total number of hours in the year is not less than the second threshold, and the continuous measurement absence time in the year Y does not exceed P days.

[0105] See Figure 3 , Figure 3 This is a structural diagram of an electronic device provided in another embodiment of this application, such as... Figure 3As shown, the electronic device includes: a processor 301, a communication interface 302, a communication bus 304, and a memory 303, wherein the processor 301, the communication interface 302, and the memory 303 interact with each other through the communication bus 304.

[0106] The memory 303 is used to store computer programs; the processor 301 is used to acquire the actual power generation data of the first photovoltaic power station over the past N years, the similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value, the first photovoltaic power station is an already operating photovoltaic power station, the second photovoltaic power station is a newly built photovoltaic power station, and N is an integer greater than 1.

[0107] Retrieve X sets of photovoltaic data over N historical years, where X is an integer greater than 1;

[0108] Obtain X sets of total solar radiation data corresponding to the X sets of photovoltaic data;

[0109] Based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups, the solar energy resource assessment data for the representative year of the second photovoltaic power station is determined.

[0110] Optionally, determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data includes:

[0111] Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years.

[0112] The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

[0113] Optionally, after determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data, the method further includes:

[0114] Obtain the actual photometric data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N;

[0115] Based on the actual photometric data and the solar energy resource assessment data for the representative year of the second photovoltaic power station, the total solar radiation data for the representative year of the second photovoltaic power station is determined.

[0116] Optionally, obtaining the actual power generation data of the first photovoltaic power station over historical N years includes:

[0117] Obtain the power generation data of the first photovoltaic power station over N historical years;

[0118] The power generation loss of the first photovoltaic power station over the historical N years is statistically analyzed, and the power generation loss is the power generation loss caused by maintenance and power curtailment of the first photovoltaic power station.

[0119] Based on the power generation data of the first photovoltaic power station over the past N years and the power loss, the actual power generation data of the first photovoltaic power station over the past N years is determined.

[0120] Optionally, the proportion of the effective measurement hours of the second photovoltaic power station in the year Y to the total number of hours in the year is not less than the second threshold, and the continuous measurement absence time in the year Y does not exceed P days.

[0121] Communication interface 302 is used for communication between the aforementioned terminal and other devices.

[0122] The memory 303 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 303 may also be at least one storage device located remotely from the aforementioned processor 301. The aforementioned processor 301 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0123] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of the above-described solar energy resource assessment method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0124] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0125] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0126] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for assessing solar energy resources, characterized in that, include: Obtain the actual power generation data of the first photovoltaic power station over the past N years. The similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value. The first photovoltaic power station is an operational photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station. N is an integer greater than 1. Retrieve X sets of photovoltaic data over N historical years, where X is an integer greater than 1; Obtain X sets of total solar radiation data corresponding to the X sets of photovoltaic data; Based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups, the solar energy resource assessment data for the representative year of the second photovoltaic power station is determined.

2. The method according to claim 1, characterized in that, The step of determining the representative year's solar resource assessment data for the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data includes: Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years. The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

3. The method according to claim 1, characterized in that, The method according to claim 1, characterized in that, after determining the solar energy resource assessment data for the representative year of the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the X sets of total solar radiation data, it further includes: Obtain the actual photovoltaic data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N; Based on the actual photovoltaic data and the solar energy resource assessment data for the representative year of the second photovoltaic power station, the estimated total solar radiation data for the representative year of the second photovoltaic power station is determined; Based on the actual total solar radiation data in the actual photovoltaic data and the estimated total solar radiation data for the representative year of the second photovoltaic power station, the solar energy resource assessment data for the representative year of the second photovoltaic power station is adjusted.

4. The method according to any one of claims 1 to 3, characterized in that, The acquisition of the actual power generation data of the first photovoltaic power station over historical N years includes: Obtain the power generation data of the first photovoltaic power station over N historical years; The power generation loss of the first photovoltaic power station over the historical N years is statistically analyzed, and the power generation loss is the power generation loss caused by maintenance and power curtailment of the first photovoltaic power station. Based on the power generation data of the first photovoltaic power station over the past N years and the power loss, the actual power generation data of the first photovoltaic power station over the past N years is determined.

5. The method according to claim 3, characterized in that, The proportion of the effective measurement hours of the second photovoltaic power station in the year Y to the total number of hours in the year is not less than the second threshold, and the continuous measurement absence time in the year Y does not exceed P days.

6. A solar energy resource assessment device, characterized in that, include: The first acquisition module is used to acquire the actual power generation data of the first photovoltaic power station over the past N years. The similarity between the terrain features of the area where the first photovoltaic power station is located and the terrain features of the area where the second photovoltaic power station is located is greater than a preset value. The first photovoltaic power station is an already operating photovoltaic power station, and the second photovoltaic power station is a newly built photovoltaic power station. N is an integer greater than 1. The second acquisition module is used to acquire X sets of photovoltaic data over N historical years, where X is an integer greater than 1; The third acquisition module is used to acquire X sets of total solar radiation data corresponding to the X sets of photovoltaic data; The first determining module is used to determine the solar energy resource assessment data for the representative year of the second photovoltaic power station based on the actual power generation data of the first photovoltaic power station over N historical years and the total solar radiation data of the X groups.

7. The apparatus according to claim 6, characterized in that, The first determining module is used for: Correlation analysis was performed on each of the X sets of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years to obtain the correlation coefficient between each set of total solar radiation data and the actual power generation data of the first photovoltaic power station over the historical N years. The photovoltaic data corresponding to the total solar radiation data with the highest correlation coefficient (greater than the first threshold) is determined as the solar energy resource assessment data for the representative year of the second photovoltaic power station.

8. The apparatus according to claim 6, characterized in that, The device further includes: The fourth acquisition module is used to acquire the actual photometric data of the second photovoltaic power station in year Y, where Y is an integer greater than or equal to 1 and less than N; The second determining module is used to determine the total solar radiation data of the second photovoltaic power station in a representative year based on the actual photometric data and the solar energy resource assessment data of the second photovoltaic power station in a representative year.

9. An electronic device, characterized in that, include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps of the solar energy resource assessment method as described in any one of claims 1 to 5.

10. A readable storage medium, characterized in that, The readable storage medium stores a program that, when executed by a processor, implements the steps of the solar energy resource assessment method as described in any one of claims 1 to 5.

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