Parameter calculation method and system for solar photovoltaic power generation

Abstract

The application discloses a kind of solar photovoltaic power generation parameter calculation method and system, including the following steps: S1, obtain meteorological parameter data, surrounding environment and geographic location information, based on the special information of high-density city and the design information of photovoltaic system;S2, based on Rhino+Grasshopper+Ladybug platform, according to the geographic location information, the surrounding environment and the design information of photovoltaic system, build photovoltaic system and terrain, the high-density city environment three-dimensional model of surrounding environment;S3, based on the three-dimensional model combines the meteorological parameter data and the equipment parameter information of the photovoltaic system information, establish photovoltaic system calculation model, obtain photovoltaic system simulation power generation amount.The application improves the calculated solar photovoltaic hourly power generation, provides fine data for solar energy and building energy combination design.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of renewable energy, and particularly relates to a parameter calculation method and system for solar photovoltaic power generation. BACKGROUND

[0002] The photovoltaic power generation system has been implemented on a large scale on the roof of high-density cities, but according to the existing research and related measurement and calculation tool development, the existing photovoltaic inspection method has the following shortcomings and deficiencies:

[0003] 1. In terms of measurement, the measurement of the operating efficiency of the solar photovoltaic system is basically based on the factory installation before the factory, that is, the measurement of the highest efficiency of the product, but after the installation of the photovoltaic system, the operation conditions are different, especially when installed on the roof of high-density cities, the surrounding buildings greatly reduce the actual operating efficiency of the photovoltaic system, and there is no accurate method to detect the actual operating parameters and efficiency of the photovoltaic system.

[0004] 2. From the perspective of calculation tools, the existing research and calculation tools can roughly estimate the annual power generation of the photovoltaic system according to the installed power of the photovoltaic system, but the estimated value is often quite different from the actual situation, the main reason is that the existing calculation tools cannot be combined with the actual model, it is difficult to consider the shading of the surrounding environment to the photovoltaic panel, and environmental factors will lead to inaccurate calculation, most of which can only calculate the total annual power generation, and cannot output 8760 hours of hourly solar power generation.

[0005] 3. The visualization degree of the calculation result is not high, and the calculation result cannot be well presented.

[0006] 4. It cannot be linked with the data of other calculation platforms.

[0007] In view of the above problems, there is no relatively accurate method to detect the actual operating parameters and efficiency of the photovoltaic system under the background of high-density cities. SUMMARY

[0008] In view of the deficiencies of the prior art, the purpose of the present application is to provide a parameter calculation method and system for solar photovoltaic power generation, which calculates the hourly solar photovoltaic power generation, provides detailed data for the combination design of solar energy and building energy consumption, and improves the visualization of the results.

[0009] To achieve one of the above purposes, the technical solution adopted by the present application is as follows:

[0010] A parameter calculation method for solar photovoltaic power generation, comprising the following steps:

[0011] S1, obtaining meteorological parameter data, surrounding environment and geographical position information, special information based on high-density cities and design information of the photovoltaic system;

[0012] S2, based on the Rhino+Grasshopper+Ladybug platform, according to the geographic location information, the surrounding environment and the design information of the photovoltaic system, a high-density city environment three-dimensional model of the photovoltaic system and the terrain and the surrounding environment is built;

[0013] S3, based on the three-dimensional model, the meteorological parameter data and the equipment parameter information of the photovoltaic system information, a photovoltaic system calculation model is established, and the simulated power generation of the photovoltaic system is obtained; specifically comprising:

[0014] Step S301: calculating the ideal hourly power generation of the photovoltaic system according to the solar radiation received by the photovoltaic panel and the conversion efficiency of the photovoltaic system itself without considering the surrounding building shading factor

[0015]

[0016] Among them, represents the limit of the receiving solar radiation of the photovoltaic panel under the ideal open space environment and direct working condition, represents the conversion efficiency of the photovoltaic panel itself under the ideal open space environment and direct working condition, and a1 represents the receiving angle of the photovoltaic panel;

[0017] Step S302: calculating the simulated hourly power generation of the photovoltaic system according to the attenuation coefficient in the high-density city environment,

[0018] The conversion efficiency of the photovoltaic system itself is generally affected by the material itself, the inverter and the attenuation factor. In the high-density city, the panel is away from the reference height of the roof, and the photovoltaic system is directly shaded by the surrounding buildings, which directly changes the illumination area,

[0019] The simulated hourly power generation of the photovoltaic system

[0020]

[0021] Among them, represents the ideal hourly power generation of the photovoltaic system, represents the attenuation of the high-density city surrounding environment, represents the temperature attenuation, represents the inverter attenuation, represents the year attenuation, represents the process attenuation;

[0022] Step 303, according to the simulated hourly power generation of the photovoltaic system , the simulated power generation of the photovoltaic system is obtained by substituting the following formula:

[0023] ​​

[0024] wherein, represents the simulated power generation of the photovoltaic system, represents the area of the photovoltaic system, represents the time when the light begins, represents the time when the light ends, represents the simulated hourly output power of the photovoltaic system after being illuminated.

[0025] Further, it further comprises S4, comparing and evaluating the simulated power generation of the photovoltaic system with the actual power generation data of the photovoltaic system.

[0026] Further, the S3 further comprises: the simulated power generation result of the photovoltaic system is sent to the cloud system for storage, processing and visualization.

[0027] Further, it further comprises S5: finding out the optimal photovoltaic panel orientation and installation inclination angle of the photovoltaic system through the parameter calculation method.

[0028] Further, the meteorological parameter data obtained in the S1 comprises at least: the longitude and latitude of the city, the annual solar radiation intensity, and the annual dry bulb air temperature;

[0029] The surrounding environment and geographical location information at least includes: the location, elevation, shape and height of the building;

[0030] The special information based on high-density city at least includes: the original angle of the photovoltaic system, the reference height of the panel from the roof, and the direct shading area of the photovoltaic system by the surrounding buildings.

[0031] The design information of the photovoltaic system at least includes: the installed capacity of the photovoltaic system, the installation location and the comprehensive conversion efficiency of the photovoltaic system.

[0032] Further, the ideal hourly power generation of the photovoltaic system in the step S301 Adopting per hour as a unit.

[0033] Further, in the S301, the limit of the solar radiation received by the photovoltaic panel Adopting the weighted combination of the field collected data and the meteorological station measured data;

[0034] The receiving angle a1 of the photovoltaic panel, i.e. the solar radiation incidence angle, has a certain influence on the conversion of solar radiation. The following formula is adopted for calculation;

[0035]

[0036] wherein, represents the solar radiation incidence angle, Indicates the tilt angle of the photovoltaic panel. Indicates the orientation of the photovoltaic panel. Indicates the azimuth angle of the sun. This indicates the solar altitude angle.

[0037] Furthermore, in S302, the high-density urban surrounding environment attenuates. Based on the photovoltaic system calculation model established by the three-dimensional model, the simulated power generation of the photovoltaic system at a specific time or over a period of time is calculated, and the degradation of the surrounding environment in high-density cities is calculated. ;

[0038] (b1) / △b*(c0-c1) / c0

[0039] b1 represents the reference height of the panel from the roof, △b represents the height difference between adjacent main shading buildings, c0 represents the total irradiance projection surface of the two buildings, and c1 = the irradiance projection surface of the taller shading building.

[0040] Photovoltaic temperature decay :

[0041]

[0042] in, Indicates temperature decay. Indicates the component temperature power coefficient. Indicates the temperature of the photovoltaic panel. Indicates the rated operating temperature of the photovoltaic panel;

[0043] The inverter attenuation , is the inverter efficiency in a photovoltaic system that converts direct current into alternating current. The inverter efficiency is obtained based on the equipment parameter information of the photovoltaic system.

[0044] The year decay It can be obtained from the battery degradation curve provided by the manufacturer in the photovoltaic system information, or by comparing the difference between the calculated rated maximum power generation and the actual power generation.

[0045] The process attenuation This refers to the fact that different types of solar cell materials have different conversion efficiencies.

[0046] Furthermore, the simulated power generation of the photovoltaic system in step 303 is the statistical daily power generation.

[0047] To achieve the second objective mentioned above, the technical solution adopted by the present invention is as follows:

[0048] The utility model relates to a kind of parameter calculation system of solar photovoltaic power generation, including data acquisition module, data modeling module and analysis processing module,

[0049] The data acquisition module is used to obtain meteorological parameter data, surrounding environment and geographic location information, special information based on high-density city and photovoltaic system design information;

[0050] The data modeling module is used to build photovoltaic system and terrain, surrounding environment high-density city environment three-dimensional model based on Rhino+Grasshopper+Ladybug platform according to the geographic location information, the surrounding environment and the photovoltaic system design information;

[0051] The analysis processing module is used to establish photovoltaic system calculation model based on the three-dimensional model combined with the meteorological parameter data and the equipment parameter information of photovoltaic system information, obtain photovoltaic system simulation power generation;Specifically include:

[0052] Calculate the ideal hourly power generation of photovoltaic system according to the solar radiation received by photovoltaic panel and the conversion efficiency of photovoltaic system without considering surrounding building sheltering factor :

[0053]

[0054] Among them, It represents the limit receiving solar radiation of photovoltaic panel in ideal open space environment direct sunlight working condition, It represents the conversion efficiency of photovoltaic panel in ideal open space environment direct sunlight working condition, a1 represents photovoltaic panel receiving angle;

[0055] According to the attenuation coefficient under high-density city environment, the photovoltaic system simulation hourly power generation is calculated,

[0056] The conversion efficiency of photovoltaic system is influenced by material itself factor, inverter factor and attenuation factor in general, panel is influenced by the reference height from roof, photovoltaic system is influenced by the direct sheltering surface of surrounding building in high-density city, and the influence mode is the direct change of illumination area,

[0057] The photovoltaic system simulation hourly power generation :

[0058]

[0059] Among them, It represents the ideal hourly power generation of photovoltaic system, It represents the attenuation of high-density city surrounding environment, It represents temperature attenuation, It represents inverter attenuation, represents the annual attenuation, represents the process attenuation;

[0060] simulate the hourly power generation of the photovoltaic system according to the photovoltaic system , and the simulated power generation of the photovoltaic system is obtained by substituting the following formula:

[0061]

[0062] wherein, represents the simulated power generation of the photovoltaic system, represents the area of the photovoltaic system, represents the time when the light begins, represents the time when the light ends, represents the simulated hourly output power of the photovoltaic system after being illuminated.

[0063] The significant effects of the present application are:

[0064] Firstly, the modeling is based on the parameterization platform of Rhino+Grasshopper+Ladybug, which can accurately restore the actual situation of buildings, surrounding buildings, photovoltaic panels, etc.; according to the meteorological parameters of each place, the 8760-hour hourly solar power generation of the photovoltaic panel can be calculated, which provides data basis for the fine design of solar photovoltaic power generation and improves the accuracy of the data results; the Rhino+Grasshopper+Ladybug platform can realize better result visualization, which is convenient for more intuitive understanding of the data results; using the Rhino+Grasshopper+Ladybug platform, the calculation data results of the efficiency of the photovoltaic system affected by the surrounding and the optimization of the best angle of the photovoltaic panel are obtained, and the calculation data can be linked with other calculation data such as energy consumption simulation and lighting attached to the building information model, thereby expanding the use range. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 is a flowchart of the present embodiment 1;

[0066] Figure 2 is a top view of the region where the photovoltaic system A in the present embodiment 1 belongs;

[0067] Figure 3 is a three-dimensional model schematic diagram of the photovoltaic system A in the present embodiment 1;

[0068] Figure 4 is a schematic diagram of the surrounding environment of the photovoltaic system A in the present embodiment 1;

[0069] Figure 5 is a columnar diagram of the annual solar radiation of the region where A is located in the present embodiment 1;

[0070] Figure 6 is the monthly power generation simulation value of photovoltaic system A in the embodiment 1 of the present application;

[0071] Figure 7 is the principle block diagram of the embodiment 2 of the present application. DETAILED DESCRIPTION

[0072] The specific embodiments of the present application and the working principles are further described in detail below with reference to the accompanying drawings.

[0073] Referring to Figures 1 to 6 A parameter calculation method for solar photovoltaic power generation is shown in the figure, which is based on a photovoltaic system arranged on the roof of a building, and the photovoltaic system comprises a photovoltaic assembly part, a current collection part, an inversion part and a power distribution part.

[0074] The method comprises the following steps:

[0075] Step S1, obtaining meteorological parameter data, surrounding environment and geographical location information, special information based on high-density cities and design information of the photovoltaic system;

[0076] The meteorological parameter data at least comprises the longitude and latitude of the city, the annual solar radiation intensity and the annual dry-bulb air temperature, and in the embodiment, the longitude and latitude coordinates, the dry-bulb temperature, the wet-bulb temperature, the relative humidity, the wind speed, the wind direction, the direct radiation, the diffuse radiation, the horizontal radiation, the vertical radiation, the direct power, the point reflection coefficient, the diffuse reflection coefficient, the environmental coverage rate and the atmospheric pressure are included.

[0077] The meteorological parameter data is input into a meteorological parameter database through non-classified data of the China Meteorological Administration or the local municipal meteorological bureau, and is converted into the meteorological parameters required for simulation calculation of the present application through random working condition generation software. Possibly, a micro meteorological station can also be established on site to measure the hourly solar radiation intensity and the environmental temperature and other parameters of the installation site of the photovoltaic system.

[0078] The surrounding environment and geographical location information at least comprises the location, the elevation, the shape and the height of the building.

[0079] The special information based on high-density cities at least comprises the original angle of the photovoltaic system, the reference height of the panel from the roof, the direct shading surface of the photovoltaic system by the surrounding buildings and the like.

[0080] The design information of the photovoltaic system at least comprises the installed capacity of the photovoltaic system, the installation location and the comprehensive conversion efficiency of the photovoltaic system.

[0081] Step S2: Based on the Rhino+Grasshopper+Ladybug platform, and according to the geographical location information, the surrounding environment, and the design information of the photovoltaic system, build a high-density 3D urban environment model of the photovoltaic system, terrain, and surrounding environment; using Rhino+Grasshopper+Ladybug, perform relatively accurate modeling of buildings, surrounding environment, and photovoltaic power generation facilities, and calculate the hourly power generation of the photovoltaic system for 8760 hours a year, and accurately calculate the simulated power generation of the photovoltaic system by combining meteorological data.

[0082] The surrounding environmental factors, such as the shadows cast by tall buildings where the photovoltaic panels are installed, affect the amount of solar radiation received by the photovoltaic panels. These factors are the most difficult to measure directly, especially in high-density cities where tall buildings often block the sunlight around the photovoltaic panel installation location, thus affecting the amount of solar radiation received by the photovoltaic panels.

[0083] In high-density cities, building heights and angles vary considerably, making this calculation particularly complex. Therefore, this invention uses Rhino, Grasshopper, and Ladybug to construct a 3D model and utilizes computer software for auxiliary calculations.

[0084] Step S3: Based on the three-dimensional model combined with the meteorological parameter data and the equipment parameter information of the photovoltaic system, establish a photovoltaic system calculation model to obtain the simulated power generation of the photovoltaic system; specifically including:

[0085] Based on the three-dimensional model, the simulated hourly power generation of the photovoltaic system is obtained, and the simulated daily power generation of the photovoltaic system is obtained through the simulated hourly power generation of the photovoltaic system.

[0086] Step S301: Calculate the ideal hourly power generation of the photovoltaic system based on the amount of solar radiation received by the photovoltaic panel and the conversion efficiency of the photovoltaic system itself, without considering the shading effect of surrounding buildings. As shown in the formula below:

[0087] (1

[0088] in, This represents the maximum amount of solar radiation a photovoltaic panel can receive under direct sunlight in an ideal open-ground environment. The conversion efficiency of the photovoltaic panel under direct sunlight in an ideal open-ground environment is represented by a1 = the angle at which the photovoltaic panel receives sunlight.

[0089] The photovoltaic panel receives the maximum amount of solar radiation. Related to natural factors, in which the solar radiation intensity is mainly related to the latitude, solar elevation angle, atmospheric transparency and other meteorological factors of the photovoltaic panel, the photovoltaic panel is located in the latitude, solar elevation angle and atmospheric transparency data monitored by the meteorological parameter data, and the hourly horizontal direction solar radiation of the photovoltaic panel installation is obtained, which can be analyzed by Meteonorm software and Svej analysis THS-sun software;

[0090] In the embodiment, the on-site collected data and the meteorological station measured data are combined in a weighted manner, wherein the on-site collected data weight is 2 / 3, and the meteorological station regional data weight is 1 / 3. The on-site collected data adopts a portable solar radiation measuring instrument DF-FSJ Dongfang Xihong, and the meteorological parameter data can obtain relevant data according to on-site measurement or official published meteorological parameters. The relevant data is obtained by the monitoring result of the local micro weather station.

[0091] The ideal open space environment direct working condition photovoltaic panel self conversion efficiency According to the equipment parameter information of the photovoltaic system information and the regional light amount statistical manual, the equipment parameter information is obtained from the photovoltaic system product manual of the supplier, including product model, installed capacity, photovoltaic panel area, material parameter and rated output power. The regional light amount statistical manual provides light amount, and the actual input is obtained through the light amount, material parameter and photovoltaic panel area. According to the rated output power / actual input=β, the ideal open space environment direct working condition photovoltaic panel self conversion efficiency β of the corresponding component is obtained.

[0092] The photovoltaic panel receiving angle a1, that is, the solar radiation incidence angle, the angle of the photovoltaic panel receiving solar radiation has a certain influence on the conversion of solar radiation. In the embodiment, the photovoltaic system with fixed angle is taken as an example, and the following formula is used for calculation.

[0093] (2

[0094] Among them, Indicates the solar radiation incidence angle, Indicates the photovoltaic panel inclination angle, Indicates the photovoltaic panel orientation, Indicates the solar azimuth angle, Indicates the solar elevation angle, Indicates the solar azimuth angle, Indicates the solar elevation angle, which is obtained by on-site collection of data by a portable solar radiation measuring instrument.

[0095] Step S302: calculating the photovoltaic system simulation hourly power generation according to the attenuation coefficient in high-density urban environment,

[0096] In actual situation, the conversion efficiency of photovoltaic system itself is usually affected by material itself, inverter and attenuation factors, in high-density city, the panel height from the roof, the photovoltaic system is directly affected by the surrounding buildings, the influence mode is the direct change of the illumination area.

[0097] The photovoltaic system simulates the hourly power generation :

[0098] (3

[0099] wherein, represents the ideal hourly power generation of photovoltaic system, represents the high-density city surrounding environment attenuation, represents the temperature attenuation, represents the inverter attenuation, represents the year attenuation, represents the process attenuation.

[0100] wherein, the high-density city surrounding environment attenuation , according to the three-dimensional model, the photovoltaic system calculation model is established, the simulation power generation of photovoltaic system in a certain time or a period of time is calculated, the specific embodiment is calculated by the following formula (4) in every 1 hour unit statistics, the high-density city surrounding environment attenuation ;

[0101] (b1) / △b*(c0-c1) / c0 (4);

[0102] b1 represents the panel height from the roof, △b represents the height difference of adjacent main shielding buildings, c0 represents the total irradiation projection area of two buildings, and c1= irradiation projection area of higher shielding building.

[0103] The photovoltaic temperature attenuation :

[0104] (5

[0105] wherein, represents the temperature attenuation, represents the component temperature power coefficient, represents the photovoltaic panel temperature, The photovoltaic panel temperature is measured on site by a portable solar radiation measuring instrument; represents the photovoltaic panel rated working temperature, represents the photovoltaic panel rated working temperature obtained by product manual;

[0106] Due to the actual test of a large number of manufacturers, the temperature coefficient of different types of photovoltaic cells is different, for example, the temperature coefficient of crystalline silicon cell is about S1=0.50% / ℃, and the temperature coefficient of amorphous silicon thin film cell is about-0.25% / ℃. This parameter can be obtained according to the type of photovoltaic cell, or can be obtained from the parameter in the product manual of the photovoltaic manufacturer.

[0107] The inverter attenuation is the inverter efficiency of the inverter in the photovoltaic system device, the inverter efficiency is obtained according to the device parameter information of the photovoltaic system information, the inverter efficiency is represented as the ratio of the alternating current energy output by the inverter in a period of time to the energy output by the solar cell group working at the maximum power point in theory, the inverter efficiency can be taken from the product manual of the photovoltaic supplier, and is usually more than 98%, so the non-extreme working condition can be ignored.

[0108] The year attenuation is that the conversion efficiency of the photovoltaic panel cell will decrease over time because the service life of the photovoltaic panel is generally 25-30 years. The year attenuation can be obtained by the cell attenuation curve given by the manufacturer in the photovoltaic system information, or can be derived by comparing the difference between the calculated maximum rated power generation and the actual power generation. The maximum rated power generation is the rated output power*useful life, and the reference value is reduced by 20% every 5 years.

[0109] The process attenuation refers to that the conversion efficiencies of different types of solar cell materials are different, and the construction methods are also different. There will be non-environmental attenuation in long-term use. This parameter is taken from the product manual of the photovoltaic supplier. In this embodiment, the reference value is reduced by 5% per year.

[0110] Step 303, according to the photovoltaic system, simulate the hourly power generation , the following formula is obtained:

[0111] (6

[0112] wherein, represents the simulated power generation of the photovoltaic system, represents the area of the photovoltaic system, represents the time when the light starts, represents the time when the light ends, represents the simulated hourly output power of the photovoltaic system after being illuminated. In this embodiment, the simulated power generation of the photovoltaic system in a day is simulated, that is, represents the time when the light starts every day, represents the time of the end of the light at the end of the day, the daily generated power is obtained.

[0113] Step S4, evaluate the simulated power generation of the photovoltaic system obtained in step S3 and the actual power generation data of the photovoltaic system, and determine the difference between the simulated value and the actual value of the photovoltaic system.

[0114] First, the monthly simulated power generation of the photovoltaic system is obtained by accumulating the daily simulated power generation of the photovoltaic system obtained in step S3; then the annual simulated power generation of the photovoltaic system is obtained by accumulating the monthly simulated power generation of the photovoltaic system, and finally the annual simulated power generation of the photovoltaic system is compared with the actual annual output of the photovoltaic system.

[0115] By judging the difference between the simulated value and the actual value of the photovoltaic system, the influence of the high-density urban surrounding environment on the shading of the photovoltaic system is determined.

[0116] The specific embodiment: taking A photovoltaic system as an example, the photovoltaic component part adopts a solar photovoltaic monocrystalline component array, which is located on the roof, the component efficiency is 20.9%, the maximum power temperature coefficient is-0.35% / ℃, the installation quantity is 112, and the total installed capacity is 15kWp; the solar photovoltaic monocrystalline component adopts 8 photovoltaic panels in series to form a group string, which is connected in parallel through a current combiner box to form a photovoltaic branch connected to a photovoltaic inverter; the inverter adopts a 15kW inverter with a maximum efficiency of 98.6%. The power generation system adopts a self-generation and self-use operation mode, is not connected to the power grid, and does not set an energy storage module, the generated power provides general lighting, and is connected to a lighting electrical box 0.4kV low-voltage power distribution bus. The A photovoltaic array is oriented at 17 degrees west of south, and the inclination angle is 15 degrees. The power generation of the photovoltaic system is measured by the electric meter in the power distribution box, and real-time monitoring and uploading of the measurement data are realized. The hourly power and power generation of the photovoltaic system are measured, and the power data are stored, processed and visualized by the cloud system. The real-time power generation and cumulative power generation of the photovoltaic system can be queried, as shown in Figure 2 .

[0117] The surrounding terrain of A is complex, and the building density is high. A building with a height of more than 100m within 500m of A has an influence on the A photovoltaic system, and the photovoltaic system and the surrounding environment are shown in Figure 3 . A three-dimensional modeling software is used to establish the terrain and building model within 500m of A based on Rhino+Grasshopper+Ladybug platform by using steps S1 and S2, so as to maximize the simulation of the influence of the surrounding environment on the photovoltaic power generation and restore the actual operation.

[0118] Through the step S3, by obtaining the meteorological data in the China Standard Weather Database (CSWD), the solar position and the radiation intensity of 8760 hours can be obtained by using Rhino+Grasshopper+Ladybug to call the meteorological data. Figure 5 is the monthly solar radiation of the region where A is located given by the meteorological data, and Figure 5 It can be known that the solar radiation of the region where A is located is the largest on July 5, 146, and the solar radiation from March to October accounts for 86% of the total amount of the year, while the data collected by the portable solar radiation measuring instrument on July 1, July 4 and July 7 are 132, 135 and 133 respectively, so the limit of the received solar radiation of the photovoltaic panel in the ideal open space environment under the direct sunlight condition The weighted value of the field collected data and the meteorological data is (132+135+133) / 3x2 / 3+146 / 3=137.56.

[0119] Secondly, through simulation calculation, without considering the influence of the surrounding environment, the maximum annual solar radiation cumulative value that A photovoltaic panel can obtain is 854kWh / m2; considering the influence of the surrounding environment, the maximum annual solar radiation cumulative value that A photovoltaic panel can obtain is 809.2kWh / m2,

[0120] Then, the photovoltaic system power generation is calculated by Ladybug, the meteorological parameter data, the surrounding environment and the geographical position information, the special information based on high-density city and the design information of the photovoltaic system are input, and the monthly distribution diagram of the photovoltaic power generation calculated is as shown in Figure 6 The annual power generation is obtained by accumulating 12 months, the annual total power generation of A photovoltaic system is 13643.4kWh, the actual annual total power generation of A photovoltaic system is 13363.2kWh, and the actual value is about 2.1% less than the simulation value.

[0121] According to the prediction performance of the photovoltaic system simulation power generation obtained by the method in the specific embodiment, the simulation power generation and the actual measured power generation of the photovoltaic system are compared to obtain the relative error and the standard deviation, as shown in the following Table 1:

[0122] Table 1 Comparison table of measured value and simulation value of power generation

[0123]

[0124] From the annual simulation value, the prediction of the annual power generation of the method is relatively accurate, and the annual error is only ±2.1%. From the annual solar radiation distribution rule, the actual power generation of the system from March to October is 11186.0 kWh, and the simulated power generation is 11492.1 kWh, which accounts for 83.7% and 84.2% of the annual power generation, respectively, which is basically consistent with the proportion of 86% of the solar radiation amount from March to October in the total amount of the year obtained from the meteorological data, indicating that the total amount of the annual solar radiation distribution in the area where A is located is relatively stable, and the monthly distribution trend is consistent. From the monthly simulation value, the monthly error is all below 20%, the monthly error is larger than the annual error, and the distribution of the monthly error has no obvious rule, indicating that the monthly photovoltaic power generation is affected by the climate of the year and has a certain volatility.

[0125] Then the mean square error is obtained by adding the monthly error and the annual error and then dividing by 2, and the calculation shows that the mean square error is less than 15%, as shown in the following table 2:

[0126]

[0127] Therefore, the method of the application is basically accurate for simulating the power generation of the photovoltaic system and realizing the operation.

[0128] Possibly, the step S3 further comprises: the simulated power generation result of the photovoltaic system is sent to a cloud system for storage, processing and visualization, and the real-time power generation and the cumulative power generation of the photovoltaic system can be inquired through the cloud system.

[0129] The visualization is based on the simulated power generation result of the photovoltaic system, and the simulated power generation of the photovoltaic system is visually displayed through graphics.

[0130] Possibly, it further comprises a step S5: finding the optimal photovoltaic panel orientation and installation inclination angle of the optimal photovoltaic system through the method.

[0131] Input meteorological environmental parameters, surrounding environment and geographical position information, special information based on high-density cities and design information of the photovoltaic system, the meteorological environmental parameters include: latitude coordinate, dry temperature, wet temperature, relative humidity, wind speed, wind direction, direct radiation, diffuse radiation, horizontal radiation, vertical radiation, direct power, point reflection coefficient, diffuse reflection coefficient, environment coverage rate, atmospheric pressure and time year, the orientation and inclination angle of the A photovoltaic panel are simulated and calculated by a three-dimensional model Ladybug, the best orientation of the A photovoltaic panel is south by west 45 degrees, and the best inclination angle is 18 degrees, an optimal design scheme is obtained, and the maximum annual solar radiation cumulative value that can be obtained is 859 kWh / m2. Specific embodiment 2:

[0133] Referring to Figure 7As shown, the embodiment provides a parameter calculation system for solar photovoltaic power generation, comprising a data acquisition module 1, a data modeling module 2 and an analysis processing module 3,

[0134] The data acquisition module 1 is used to acquire meteorological parameter data, surrounding environment and geographic location information, special information based on high-density cities and design information of a photovoltaic system;

[0135] The data modeling module 2 is used to build a high-density city environment three-dimensional model of a photovoltaic system and terrain, surrounding environment based on a Rhino+Grasshopper+Ladybug platform according to the geographic location information, the surrounding environment and the design information of the photovoltaic system;

[0136] The analysis processing module 3 is used to establish a photovoltaic system calculation model based on the three-dimensional model combined with the meteorological parameter data and the equipment parameter information of the photovoltaic system information, and obtain a photovoltaic system simulation power generation capacity; specifically comprising:

[0137] Step S301: calculating an ideal hourly power generation capacity of a photovoltaic system according to the solar radiation received by a photovoltaic panel and the conversion efficiency of the photovoltaic system itself without considering the surrounding building sheltering factor

[0138]

[0139] Among them, represents the limit received solar radiation of a photovoltaic panel in a direct working condition in an ideal open space environment, represents the conversion efficiency of the photovoltaic panel itself in the ideal open space environment, and a1 represents the receiving angle of the photovoltaic panel;

[0140] Step S302: calculating a photovoltaic system simulation hourly power generation capacity according to a decay coefficient in a high-density city environment,

[0141] The conversion efficiency of the photovoltaic system itself is conventionally affected by material itself factors, inverter factors and decay factors, and in a high-density city, the panel is away from the reference height of the roof, and the photovoltaic system is directly affected by the surrounding buildings, and the influence mode is the direct change of the light area,

[0142] The photovoltaic system simulation hourly power generation capacity :

[0143]

[0144] Among them, represents the ideal hourly power generation capacity of the photovoltaic system, represents the decay of the surrounding environment of the high-density city, represents the temperature decay,​ represents the inverter attenuation, represents the year attenuation, represents the process attenuation;

[0145] Step 303, simulating the hourly power generation of the photovoltaic system according to the photovoltaic system , substituting into the following formula to obtain the simulated power generation of the photovoltaic system:

[0146]

[0147] wherein, represents the simulated power generation of the photovoltaic system, represents the area of the photovoltaic system, represents the time of starting illumination, represents the time of ending illumination, represents the simulated hourly output power of the photovoltaic system after being illuminated.

[0148] The specific functions of the collection module, data modeling module and analysis processing module are the same as those of Embodiment 1, and thus this embodiment is omitted here.

[0149] The technical solutions provided by the present application are described in detail above. The principles and implementation modes of the present application are described by applying specific examples in this paper, and the above description of the embodiments is only applicable to help understand the method of the present application and its core idea. It should be noted that for ordinary skilled persons in the technical field, without departing from the principles of the present application, the present application can be improved and modified in several ways, and these improvements and modifications also fall within the protection scope of the claims of the present application.

Claims

1. A method for calculating parameters of solar photovoltaic power generation, characterized in that: Comprising the following steps: S1, obtaining meteorological parameter data, surrounding environment and geographical location information, special information based on high-density city and design information of photovoltaic system; S2, based on Rhino+Grasshopper+Ladybug platform, according to the geographical location information, the surrounding environment and the design information of the photovoltaic system, building a high-density city environment three-dimensional model of photovoltaic system and terrain, surrounding environment; S3, based on the three-dimensional model combining the meteorological parameter data and the equipment parameter information of the photovoltaic system information, establishing a photovoltaic system calculation model, and obtaining the photovoltaic system simulation power generation; Specifically comprising: Step S301: calculate the ideal hourly power generation of the photovoltaic system according to the solar radiation received by the photovoltaic panel and the conversion efficiency of the photovoltaic system without considering the surrounding building shading factor : wherein, represents the limit of the received solar radiation of the photovoltaic panel in the direct working condition under the ideal open space environment, represents the conversion efficiency of the photovoltaic panel itself in the direct working condition under the ideal open space environment, and a1 represents the receiving angle of the photovoltaic panel. Step S302: calculating the photovoltaic system simulation hourly power generation according to the attenuation coefficient in high-density city environment, The conversion efficiency of photovoltaic system itself is influenced by material itself factor, inverter factor and attenuation factor, in high-density city, the panel is away from the reference height of roof, the photovoltaic system is influenced by the direct shading surface of surrounding buildings, the influence mode is the direct change of illumination area, The photovoltaic system simulates the hourly power generation : wherein, represents the ideal hourly power generation of the photovoltaic system, represents the high-density urban perimeter environment attenuation, represents the temperature attenuation, represents the inverter attenuation, represents the year attenuation, represents the process attenuation; Step 303, simulating the hourly power generation of the photovoltaic system according to the photovoltaic system , the simulated power generation of the photovoltaic system is obtained by substituting the following formula: wherein, represents the simulated power production of the photovoltaic system, represents the area of the photovoltaic system, represents the time of the beginning of the light exposure, represents the time of the end of the light exposure, represents the simulated hourly output power of the photovoltaic system after the light exposure.

2. The method of claim 1, wherein: Further comprising S4, comparing and evaluating the simulation power generation of the photovoltaic system with the actual power generation data of the photovoltaic system.

3. The method of claim 1, wherein: The S3 further comprises: the simulation power generation result of the photovoltaic system is sent to the cloud system for storage, processing and visualization.

4. The method of claim 1 or 2, wherein: Further comprising S5: the optimal photovoltaic panel orientation and installation inclination angle of the optimal photovoltaic system are found out by optimizing the parameter calculation method.

5. The method of claim 1, wherein: The meteorological parameter data in the S1 at least includes: the longitude and latitude of the city, the annual solar radiation intensity and the annual dry bulb air temperature; The surrounding environment and geographical location information at least includes: the location, elevation, shape and height of the building; The special information based on high-density city at least includes: the original angle of photovoltaic system, the reference height of panel away from roof, the direct shading surface of photovoltaic system influenced by surrounding buildings; The design information of photovoltaic system at least includes: the installed capacity of photovoltaic system, the installation position and the comprehensive conversion efficiency of photovoltaic system.

6. The method of claim 1, wherein: Ideal hourly power production of the photovoltaic system in step S301 In hourly units.

7. The method of claim 1, wherein: In the S301, the photovoltaic panel limits the amount of solar radiation received The data is obtained by using a weighted combination of field collected data and weather station measured data. The receiving angle a1 of photovoltaic panel, i.e. solar radiation incidence angle, has certain influence on solar radiation conversion, which is calculated by the following formula; wherein, denotes the solar radiation incidence angle, denotes the photovoltaic panel tilt angle, denotes the photovoltaic panel orientation, denotes the solar azimuth angle, denotes the solar altitude angle.

8. The method of claim 1, wherein: The high-density urban peripheral environment attenuation in S302 , a photovoltaic system calculation model established according to the three-dimensional model, which is used to calculate the simulated power generation of the photovoltaic system at a specific moment or in a period of time, and the high-density urban peripheral environment attenuation ; (b1) / △b*(c0-c1) / c0 b1 represents the reference height of panel away from roof, △b represents the height difference of adjacent main shielding buildings, c0 represents the total radiation projection surface of two buildings, and c1= radiation projection surface of higher shielding building; The photovoltaic temperature decay : wherein, represents the temperature decay, represents the component temperature power coefficient, represents the photovoltaic panel temperature, represents the photovoltaic panel nominal operating temperature; the inverter attenuation is an inverter efficiency of an inverter that converts direct current into alternating current in a photovoltaic system device, the inverter efficiency being obtained from device parameter information of the photovoltaic system information; the year of the degradation obtained from the degradation curve provided by the manufacturer in the photovoltaic system information or by comparing the difference between the calculated maximum power and the actual power The process attenuates Different types of solar cell materials have different conversion efficiencies.

9. The method of claim 1, wherein: The simulation power generation of photovoltaic system in the step 303 is the statistical daily power generation.

10. A parameter calculation system for solar photovoltaic power generation, characterized by: Comprising data acquisition module, data modeling module and analysis processing module, The data acquisition module is used for obtaining meteorological parameter data, surrounding environment and geographical location information, special information based on high-density city and design information of photovoltaic system; The data modeling module is used for building a high-density city environment three-dimensional model of photovoltaic system and terrain, surrounding environment based on Rhino+Grasshopper+Ladybug platform according to the geographical location information, the surrounding environment and the design information of the photovoltaic system; The analysis processing module is configured to establish a photovoltaic system calculation model based on the three-dimensional model, the meteorological parameter data, and device parameter information of the photovoltaic system information, and obtain simulated power generation of the photovoltaic system; and specifically includes: The ideal hourly power generation of the photovoltaic system is calculated according to the solar radiation received by the photovoltaic panel and the conversion efficiency of the photovoltaic system without considering the surrounding building shading factor : wherein, represents the limit of the received solar radiation of the photovoltaic panel in the direct working condition under the ideal open space environment, represents the conversion efficiency of the photovoltaic panel itself in the direct working condition under the ideal open space environment, and a1 represents the receiving angle of the photovoltaic panel. According to the attenuation coefficient calculation of high-density urban environment, the photovoltaic system simulates the hourly power generation, The conversion efficiency of the photovoltaic system is conventionally affected by material factors, inverter factors, and attenuation factors. In high-density cities, the panel is away from the reference height of the roof, and the photovoltaic system is directly affected by the shielding surface of the surrounding buildings. The influence mode is the direct change of the illumination area, The photovoltaic system simulates the hourly power generation : wherein, represents the ideal hourly power production of the photovoltaic system, represents the high-density urban perimeter environment attenuation, represents the temperature attenuation, represents the inverter attenuation, represents the year attenuation, represents the process attenuation; Simulating hourly power generation from the photovoltaic system , the simulated power generation of the photovoltaic system is obtained by substituting into the following formula: wherein, represents the simulated power production of the photovoltaic system, represents the area of the photovoltaic system, represents the time of the beginning of the light exposure, represents the time of the end of the light exposure, represents the simulated hourly output power of the photovoltaic system after the light exposure.

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