A method and system for calculating distributed photovoltaic power generation and comprehensive electricity price

Abstract

The present invention relates to a distributed photovoltaic power consumption and comprehensive electricity price calculation method, comprising: generating a light intensity function; setting relationship parameters between the light intensity function and the photovoltaic power generation function; generating a photovoltaic power generation function based on the light intensity function and the relationship parameters; calculating photovoltaic power generation based on the photovoltaic power generation function; obtaining a photovoltaic power generation reference value; correcting the photovoltaic power generation based on a comparison result between the photovoltaic power generation and the photovoltaic power generation reference value; calculating photovoltaic power consumption; calculating photovoltaic power consumption rate based on the photovoltaic power consumption and photovoltaic power generation; and outputting a photovoltaic chart file and a comprehensive electricity price. The present invention introduces a photovoltaic annual power generation reference value and uses the photovoltaic annual power generation reference value to correct the relationship parameters to update the photovoltaic daily annual power generation, photovoltaic monthly power generation, and photovoltaic annual power generation, thereby correcting the photovoltaic daily consumption rate, photovoltaic monthly consumption rate, and photovoltaic annual consumption rate, thereby improving the calculation accuracy of the photovoltaic consumption rate and electricity price.

Description

Technical Field

[0001] The present invention relates to a method and system for absorbing distributed photovoltaic power generation and calculating comprehensive electricity prices, and belongs to the field of distributed photovoltaics. Background Art

[0002] Power generation companies are actively developing distributed photovoltaic power generation, and the number of distributed photovoltaic projects has increased significantly. Distributed photovoltaic power generation adopts a "self-generation for own use, with surplus power fed to the grid" operating model. It connects to the distribution system of the nearest partner power user. Power generated by photovoltaic power generation is preferentially consumed by the power user itself. Any excess power generated by photovoltaic power generation that exceeds the company's load must be fed to the grid and cannot be consumed by the power user. Due to current national policy requiring photovoltaic power generation to be grid-parity and not subsidized, the price of the "surplus power fed to the grid" portion of distributed photovoltaic power generation is based on the provincial benchmark price for coal-fired power generation, while the price of the "self-generation for own use" portion is determined based on the company's electricity price. As a result, the price of self-generation for own use is significantly higher than the price of surplus power fed to the grid. The rate of return of distributed photovoltaic power stations depends on both investment and power generation, as well as electricity price. Therefore, it is necessary to calculate the precise consumption rate (the proportion of self-generation and self-use power to total power generation) and the corresponding comprehensive electricity price to accurately calculate the rate of return of distributed photovoltaic power stations and determine their economic feasibility.

[0003] Absorption calculations require fitting enterprise electricity consumption curves and local sunlight curves from at least one full year of previous years. However, both electricity consumption and sunlight curves are nonlinear, making manual statistical calculations labor-intensive and inaccurate. Currently, distributed photovoltaic power absorption and comprehensive electricity price calculations are mostly based on engineering experience or calculations based on a small amount of typical data. There is no accurate calculation tool that can be widely applied to distributed photovoltaic projects. Therefore, a precise and reliable method for absorbing photovoltaic power is needed.

[0004] Patent CN111463784A, "Method and Related Components for Predicting the Comprehensive Electricity Price for Self-Generation and Self-Use in a Distributed Photovoltaic Power Station," discloses determining the power-time function P(t) of a distributed photovoltaic power station; performing a definite integral on the power-time function to calculate the daily power generation time function W(t); predicting the daily average power generation to calculate the peak power a; calculating the theoretical power generation of the distributed photovoltaic power station for each specified time period and the average power consumption for that specified time period; multiplying the self-use portion of the power generation for each time period by the electricity price for that period, and multiplying the grid-connected power generation by the local benchmark electricity price, to obtain the comprehensive electricity price for the distributed photovoltaic power station in the self-generation and self-use mode. This method applies a sine function to the power function of the distributed photovoltaic power station and uses the monthly average daily irradiation F1 at the location of the photovoltaic power station to calculate the daily average power generation. This method cannot accurately represent distortions in photovoltaic power generation caused by weather factors such as short-term cloud cover and rainfall. The granularity of the daily average irradiation data for each month is very high, with only 12 irradiation data points available for the entire year. Summary of the Invention

[0005] In order to overcome the problems existing in the prior art, the present invention designs a distributed photovoltaic power generation absorption and comprehensive electricity price calculation method and system, introduces the photovoltaic annual power generation reference value, and uses the photovoltaic annual power generation reference value to correct the relationship parameters to update the photovoltaic daily annual power generation, photovoltaic monthly power generation, and photovoltaic annual power generation, thereby correcting the photovoltaic daily absorption rate, photovoltaic monthly absorption rate, and photovoltaic annual absorption rate; and improving the calculation accuracy of the photovoltaic absorption rate and electricity price.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] Technical solution 1:

[0008] A method for absorbing distributed photovoltaic power generation and calculating comprehensive electricity prices comprises the following steps:

[0009] Generate light intensity function;

[0010] Set the relationship parameters between the light intensity function and the photovoltaic power generation function;

[0011] Generate photovoltaic power generation function according to the light intensity function and relationship parameters;

[0012] Calculate photovoltaic power generation according to photovoltaic power generation function;

[0013] Obtain reference value of photovoltaic power generation;

[0014] According to the comparison result of photovoltaic power generation and the photovoltaic power generation reference value, it is determined whether Correction Relationship parameters: if the relationship parameters are modified, the photovoltaic power generation is recalculated based on the modified relationship parameters;

[0015] Calculate photovoltaic power consumption;

[0016] Calculate the photovoltaic absorption rate based on photovoltaic power absorption and photovoltaic power generation;

[0017] Furthermore, it also includes: outputting a photovoltaic chart file, wherein the photovoltaic chart file includes a photovoltaic absorption data table, a photovoltaic power generation power function diagram and an average power consumption function diagram.

[0018] Furthermore, a light intensity function is generated, specifically including:

[0019] The functional relationship between light intensity and time is obtained by fitting the historical discrete light data with a polynomial curve.

[0020] Furthermore, the relationship parameter is a positive proportional coefficient.

[0021] Furthermore, the photovoltaic power generation is recalculated based on the corrected relationship parameters, specifically:

[0022] The photovoltaic power generation reference value is the photovoltaic annual power generation reference value; the photovoltaic annual power generation reference value is divided by the photovoltaic annual power generation to obtain a relationship parameter; based on the relationship parameter and the photovoltaic power generation power function, the photovoltaic monthly power generation and the photovoltaic daily power generation are recalculated.

[0023] Furthermore, the calculation of photovoltaic power consumption specifically includes:

[0024] According to the average power consumption function in different time periods, the power consumption in different time periods is calculated; according to the power consumption and photovoltaic power generation in different time periods, the photovoltaic power consumption in different time periods is calculated.

[0025] Furthermore, it also includes generating an average power consumption function for each time period according to the total power consumption in different time periods.

[0026] Furthermore, it also includes calculating the first comprehensive electricity price based on the photovoltaic absorption rate, specifically: electricity price = peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate + on-grid electricity price × (1-total photovoltaic absorption rate).

[0027] Furthermore, it also includes calculating the second comprehensive electricity price based on the photovoltaic absorption rate, specifically: electricity price = (peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate) × self-use electricity price discount + on-grid electricity price × (1-total photovoltaic absorption rate).

[0028] Technical solution 2:

[0029] A distributed photovoltaic power generation consumption and comprehensive electricity price calculation system, comprising:

[0030] A data input unit, the data input unit is used to obtain electricity consumption data, electricity price data, and photovoltaic installed capacity data;

[0031] A data processing unit is provided with a light intensity function and relationship parameters between the light intensity function and the photovoltaic power generation function, and is used to generate a photovoltaic power generation function based on the light intensity function and the relationship parameters; calculate the photovoltaic power generation based on the photovoltaic power generation function; calculate the photovoltaic power consumption; and calculate the photovoltaic power consumption rate based on the photovoltaic power consumption and the photovoltaic power generation.

[0032] a data correction unit, the data correction unit being used to obtain a reference value of photovoltaic power generation; and to correct the photovoltaic power generation according to a comparison result of the photovoltaic power generation with the reference value of photovoltaic power generation;

[0033] Data output unit, used to output photovoltaic absorption rate.

[0034] Compared with the prior art, the present invention has the following characteristics and beneficial effects:

[0035] 1. This invention uses polynomial fitting to fit the historical daily irradiation data of the photovoltaic power station location (accurate to every hour of every day). There are 8760 irradiation data throughout the year. The fitting result is more accurate and the fitting effect is better (reference Figures 12-15 Fitting of daily power generation).

[0036] 2. The present invention introduces a reference value for annual photovoltaic power generation, and uses the reference value for annual photovoltaic power generation to correct relationship parameters to update daily photovoltaic power generation, monthly photovoltaic power generation, and annual photovoltaic power generation, thereby correcting daily photovoltaic absorption rate, monthly photovoltaic absorption rate, and annual photovoltaic absorption rate; and improving the calculation accuracy of photovoltaic absorption rate and electricity price.

[0037] 3. The present invention outputs intuitive photovoltaic chart files and comprehensive electricity prices, which are convenient for use in distributed photovoltaic preliminary project reports and save manpower. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1-2 It is a flow chart of the present invention;

[0039] Figure 3 This is a schematic diagram of the software interface;

[0040] Figure 4-5 is a schematic diagram of input data;

[0041] Figure 6 It is a schematic diagram of the data correction results;

[0042] Figure 7-8 is a schematic diagram of output data;

[0043] Figure 9-15 It is a schematic diagram of photovoltaic absorption function;

[0044] Figure 16-19 It is a schematic diagram of output data under different statistical methods. DETAILED DESCRIPTION

[0045] The present invention will be described in more detail below with reference to the embodiments.

[0046] Example 1

[0047] like Figure 1 As shown, a method for absorbing distributed photovoltaic power generation and calculating comprehensive electricity prices includes the following steps:

[0048] S1. Calculate photovoltaic power generation:

[0049] S11. Generate light intensity function:

[0050] Obtain historical discrete light data and filter the data at moments when the light intensity is greater than 0;

[0051] The filtered historical discrete light data is fitted with a quintic polynomial to obtain the functional relationship between light intensity and time, which is specifically expressed as the light intensity function:

[0052]

[0053] Where: is the light intensity, For time, are the polynomial coefficients.

[0054] Furthermore, a daily light intensity function, a monthly average light intensity function and an annual average light intensity function are generated.

[0055] S12. Assuming that photovoltaic power generation is proportional to light intensity, generate a functional relationship between photovoltaic power generation and time, specifically expressed as photovoltaic power generation function:

[0056] ;

[0057] Where: is the photovoltaic power generation power; is the light intensity function; is the derivative of the light intensity function, which is used to remove the data when the light intensity slope is reversed to improve the fitting accuracy. Preferably, 5.8 and 16.8 are the better cutoff time points determined after multiple debugging; is the installed photovoltaic capacity; is the relationship parameter between the light intensity function and the photovoltaic power generation function, preferably, >0 is a positive proportional coefficient; For time.

[0058] Furthermore, based on the daily, monthly and annual average light intensity functions generated in the previous step, daily, monthly and annual average photovoltaic power generation functions are generated accordingly.

[0059] S13. Integrate the photovoltaic power generation function into three periods: peak, flat, and off-peak, and obtain the photovoltaic power generation for the three periods. The peak, flat, and off-peak periods are divided according to the regulations of the provincial power grid companies. For example, in Fujian Province, the daily peak periods are 8:30-11:30, 14:30-15:30, and 19:00-21:00; the flat periods are 7:00-8:30, 11:30-14:30, 17:30-19:30, and 21:00-23:00; and the off-peak period is 23:00 to 7:00 the next day.

[0060] S2. Calculate the photovoltaic power consumption:

[0061] S21. Calculate the average power consumption:

[0062] Obtain the electricity consumption sheet for the photovoltaic power user. This sheet is typically generated biweekly. It contains the total electricity consumption for peak, flat, and off-peak periods. Divide the monthly total electricity consumption for peak, flat, and off-peak periods by the number of hours per day, respectively, and then by the number of days per month to obtain the average power function for the enterprise's peak, flat, and off-peak periods.

[0063] S22. Calculate photovoltaic power consumption:

[0064] The average power consumption function is integrated into the peak, flat and valley periods to obtain the photovoltaic power consumption in the peak, flat and valley periods.

[0065] S3. Estimation of photovoltaic absorption rate:

[0066] Calculate the photovoltaic power consumption: Integrate the min{photovoltaic power generation function, average power consumption function}, that is, integrate the smaller of the photovoltaic power generation function and the average power consumption function in each time period over a time period, such as Figures 9 to 15 shown.

[0067] The ratio of photovoltaic power consumption to photovoltaic power generation during peak, flat, and off-peak periods was calculated to obtain the photovoltaic consumption rates for these three periods. The weighted average of the photovoltaic consumption rates during the peak, flat, and off-peak periods from January to December was then taken to obtain the photovoltaic consumption rates for the entire year. The annual photovoltaic consumption rate was then calculated by summing the photovoltaic consumption rates during the peak, flat, and off-peak periods.

[0068] S4. Calculate the comprehensive electricity price:

[0069] Comprehensive electricity price = peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate + on-grid electricity price × (1-total photovoltaic absorption rate)

[0070] S5. Output a chart file, the chart file including the photovoltaic power generation function and the average power consumption function for peak, flat, and valley periods. Preferably, the average power consumption function is divided into an annual average power consumption function, a monthly average power consumption function, and a daily average power consumption function according to user needs.

[0071] In another implementation method, the actual peak, flat and valley power consumption rates = peak, flat and valley power consumption rates × (365-number of non-operation days in a year) / 365.

[0072] In another implementation method, the comprehensive electricity price after the discount on the electricity price for self-use by the electricity consuming enterprise is calculated = (peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate) × self-use electricity price discount + on-grid electricity price × (1-total photovoltaic absorption rate).

[0073] In one embodiment, the method of the present invention is presented in the form of software in a computing device, and the operating interface of the software is as follows: Figure 3 shown.

[0074] S10, parameter selection:

[0075] In this embodiment, the parameters include the city, the consumption statistics method, and whether to output a statistical chart.

[0076] 1. City: Select a city from the drop-down menu.

[0077] 2. Statistical method: The statistical methods include annual statistics, monthly statistics, daily statistics, and statistics based on the vernal equinox, summer solstice, autumnal equinox, and winter solstice. The photovoltaic consumption data table output by this embodiment includes photovoltaic power generation, photovoltaic consumption power, photovoltaic consumption rate, total consumption rate, and comprehensive electricity price in each peak, flat, and valley period. Figure 16-19 The statistical method only affects the refinement of the output data.

[0078] ①Annual statistics: output the annual average value of data (one complete year).

[0079] ②Monthly statistics: output the monthly average value of data (January to December).

[0080] ③ Daily statistics: output the daily value of the data (365 days of daily data).

[0081] ④ Statistics by the Vernal Equinox, Summer Solstice, Autumnal Equinox, and Winter Solstice: Output the electricity consumption curve for the four specified solar terms.

[0082] For annual statistics, the annual average photovoltaic power generation for three time periods is calculated and output based on the annual average sunlight intensity function. The photovoltaic power consumption for three time periods per month is calculated based on the company's monthly average power consumption function. The photovoltaic power consumption for the three time periods over 12 months is accumulated and the annual average photovoltaic power consumption for the three time periods is output. For daily statistics, the daily photovoltaic power generation for three time periods is calculated and output based on the sunlight intensity function. The photovoltaic power consumption for the three time periods per month is calculated based on the company's monthly average power consumption function. The daily average photovoltaic power consumption for the three time periods is calculated and output.

[0083] 3. Whether to draw: If you select yes, the corresponding photovoltaic absorption curve will be output, such as Figure 9-15 shown.

[0084] S20. Data acquisition:

[0085] The user inputs the electricity consumption during the peak, flat and valley periods of each month (e.g. Figure 4 As shown in the table above), the peak electricity price, normal electricity price, and valley electricity price of the electricity user (which can also be obtained from the annual electricity consumption meter of the electricity user), the on-grid electricity price (0.3932 yuan / kWh in Fujian Province), the number of days the electricity user is not in operation throughout the year, the installed capacity of photovoltaic power generation, and the discount calculated for the electricity price of the electricity user. Figure 5 shown.

[0086] S30, data processing:

[0087] The user clicks "Initial Calculation" to calculate the PV power generation, PV power consumption, and PV power consumption rate for peak, average, and off-peak periods based on the parameters and data described in steps S10 and S20. The user then calculates the annual, monthly, or daily average values ​​of PV power generation, PV power consumption, and PV power consumption rate for the three time periods, using the statistical method selected by the user.

[0088] S40, data correction:

[0089] Output the annual PV power generation in the software interface. The annual power generation calculated by the Pvsyst software serves as a reference value for PV power generation. Users can choose whether to modify the relationship coefficient based on their needs. For example, if only a preliminary assessment of PV installed capacity feasibility is required or if the PV model required by Pvsyst is unavailable, no modification is performed. If modification is required, proceed to step S400; otherwise, proceed to step S50.

[0090] Pvsyst software is a photovoltaic system simulation design aid used to guide photovoltaic system design and simulate the power generation of photovoltaic systems. Its built-in algorithm is not open source, and the calculation process is complex. Many factors are considered during the calculation, such as: photovoltaic module inclination angle, azimuth angle, shadow occlusion model analysis, photovoltaic module quality loss, inverter loss, transformer loss, AC and DC line loss, etc. The purpose of this invention is to calculate the photovoltaic absorption rate and comprehensive electricity price to meet the needs of early engineering technical and economic analysis. It is not to develop a new photovoltaic power generation calculation software. Therefore, a data correction unit is designed to improve the accuracy of the photovoltaic absorption rate calculation of this software.

[0091] S400: Figure 6As shown, enter the annual photovoltaic power generation calculated by Pvsyst in the "Annual Power Generation of Pvsyst (MWh)" field on the software interface. Using the difference between the two annual power generation amounts, reversely calculate and modify the proportional coefficient r between photovoltaic power generation and light intensity, and update the calculation result of step S30. Specifically, divide Pvsyst's annual photovoltaic power generation by the annual photovoltaic power generation calculated in this embodiment to obtain the proportional coefficient r. Based on the modified proportional coefficient r, recalculate the photovoltaic power generation, photovoltaic power consumption, and photovoltaic power consumption rate for the peak, flat, and valley time periods. Recalculate the annual, monthly, or daily average values ​​of the photovoltaic power generation, photovoltaic power consumption, and photovoltaic power consumption rate for the three time periods.

[0092] S50: Data output

[0093] Click "Export Absorption Data" to export the absorption calculation results to Excel. Figure 7 、 8 shown.

[0094] S60: Check the exported data report on photovoltaic absorption and determine whether the photovoltaic absorption rate and comprehensive electricity price meet the project requirements based on the actual project situation.

[0095] If the calculation result meets the requirements of the actual engineering situation, execute S70; otherwise, execute S71.

[0096] S70: View chart output results

[0097] View the chart output, such as Figures 9 to 19 As shown, it can be directly copied and pasted into the distributed photovoltaic preliminary report. This concludes it.

[0098] S71: Modify the data table parameters related to photovoltaic consumption

[0099] Modify the data table parameters related to photovoltaic absorption, and return to step S30 to recalculate.

[0100] A distributed photovoltaic power generation consumption and comprehensive electricity price calculation method system includes: a data input unit, a data processing unit, a data correction unit, and a data output unit.

[0101] The data input unit obtains electricity consumption data, electricity price data, photovoltaic installed capacity data and parameters, wherein the parameters include city, consumption statistical method, and whether statistical charts need to be output.

[0102] The data processing unit is provided with a light intensity function and relationship parameters between the light intensity function and the photovoltaic power generation function, and is used to generate a photovoltaic power generation function based on the light intensity function and the relationship parameters; calculate the photovoltaic power generation based on the photovoltaic power generation function; calculate the photovoltaic power consumption; and calculate the photovoltaic power consumption rate based on the photovoltaic power consumption and the photovoltaic power generation.

[0103] The data correction unit obtains a reference value of photovoltaic power generation; and corrects the photovoltaic power generation according to a comparison result between the photovoltaic power generation and the photovoltaic power generation reference value.

[0104] The data output unit outputs a photovoltaic chart file and a comprehensive electricity price. The photovoltaic chart file includes a photovoltaic consumption data table, a photovoltaic power generation power function diagram, and an average power consumption power function diagram.

[0105] It should be noted that the above-mentioned distributed photovoltaic power generation consumption and comprehensive electricity price calculation method system is also used to achieve the above-mentioned Figure 1-2 The method steps corresponding to each embodiment of the method for absorbing distributed photovoltaic power generation and calculating comprehensive electricity price shown are not repeated in this application.

[0106] It should be noted that the functional units / modules in the various embodiments of the present invention may be integrated into a single processing unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated into a single unit / module. The aforementioned integrated units / modules may be implemented in the form of hardware or software functional units / modules.

[0107] From the above description of the embodiments, those skilled in the art will clearly understand that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any appropriate combination thereof. For hardware implementation, the processor may be implemented in one or more of the following: an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, or other electronic units designed to implement the functionality described herein, or any combination thereof. For software implementation, some or all of the processes of the embodiments may be performed by a computer program instructing the relevant hardware. During implementation, the program may be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media includes any medium that facilitates the transfer of a computer program from one location to another. Storage media can be any available medium that can be accessed by a computer. Computer-readable media may include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should analyze that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A method for absorbing distributed photovoltaic power generation and calculating comprehensive electricity prices, characterized in that: The following steps are involved: Generate light intensity function; Set the relationship parameters between the light intensity function and the photovoltaic power generation function; Generate photovoltaic power generation function according to the light intensity function and relationship parameters; Calculate photovoltaic power generation according to photovoltaic power generation function; Obtain reference value of photovoltaic power generation; determining whether to modify the relationship parameter based on a comparison result between the photovoltaic power generation and the photovoltaic power generation reference value, and if so, recalculating the photovoltaic power generation based on the modified relationship parameter; Calculate photovoltaic power consumption; Calculate the photovoltaic absorption rate based on photovoltaic power absorption and photovoltaic power generation; The photovoltaic power generation is recalculated based on the revised relationship parameters, specifically: The photovoltaic power generation reference value is a photovoltaic annual power generation reference value; the photovoltaic annual power generation reference value is divided by the photovoltaic annual power generation to obtain a relationship parameter; and the photovoltaic monthly power generation and the photovoltaic daily power generation are recalculated based on the relationship parameter and the photovoltaic power generation power function; It also includes calculating the first comprehensive electricity price based on the photovoltaic absorption rate, specifically: electricity price = peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate + on-grid electricity price × (1-total photovoltaic absorption rate).

2. A method for calculating distributed photovoltaic power generation and comprehensive electricity price according to claim 1, characterized in that: Also includes: Output a photovoltaic chart file, which includes a photovoltaic consumption data table, a photovoltaic power function diagram, and an average power consumption function diagram.

3. A method for calculating distributed photovoltaic power generation consumption and comprehensive electricity price according to claim 1, characterized in that: Generate a light intensity function, including: The functional relationship between light intensity and time is obtained by fitting the historical discrete light data with a polynomial curve.

4. A method for calculating distributed photovoltaic power generation and comprehensive electricity price according to claim 1, characterized in that: The relationship parameter is a direct proportionality coefficient.

5. A method for calculating distributed photovoltaic power generation and comprehensive electricity price according to claim 1, characterized in that: The calculation of photovoltaic power consumption specifically includes: According to the average power consumption function in different time periods, the power consumption in different time periods is calculated; according to the power consumption and photovoltaic power generation in different time periods, the photovoltaic power consumption in different time periods is calculated.

6. A method for calculating distributed photovoltaic power generation and comprehensive electricity price according to claim 4, characterized in that: The method also includes generating an average power consumption function for each time period according to the total power consumption in different time periods.

7. A method for calculating distributed photovoltaic power generation and comprehensive electricity price according to claim 1, characterized in that: It also includes calculating the second comprehensive electricity price based on the photovoltaic absorption rate, specifically: electricity price = (peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate) × self-use electricity price discount + on-grid electricity price × (1-total photovoltaic absorption rate).

8. A distributed photovoltaic power generation consumption and comprehensive electricity price calculation system, characterized in that: include: A data input unit, the data input unit is used to obtain electricity consumption data, electricity price data, and photovoltaic installed capacity data; a data processing unit, the data processing unit being provided with a light intensity function and relationship parameters between the light intensity function and the photovoltaic power generation function, and being configured to generate a photovoltaic power generation function based on the light intensity function and the relationship parameters; calculate photovoltaic power generation based on the photovoltaic power generation function; calculate photovoltaic power consumption; and calculate a photovoltaic power consumption rate based on the photovoltaic power consumption and photovoltaic power generation; a data correction unit, the data correction unit being configured to determine whether to correct the relationship parameter based on a comparison result between the photovoltaic power generation and the photovoltaic power generation reference value, and if the relationship parameter is corrected, recalculate the photovoltaic power generation based on the corrected relationship parameter; Data output unit, used to output photovoltaic absorption rate; The photovoltaic power generation is recalculated based on the revised relationship parameters, specifically: The photovoltaic power generation reference value is a photovoltaic annual power generation reference value; the photovoltaic annual power generation reference value is divided by the photovoltaic annual power generation to obtain a relationship parameter; and the photovoltaic monthly power generation and the photovoltaic daily power generation are recalculated based on the relationship parameter and the photovoltaic power generation power function; It also includes calculating the first comprehensive electricity price based on the photovoltaic absorption rate, specifically: electricity price = peak period electricity price × peak period photovoltaic absorption rate + normal period electricity price × normal period photovoltaic absorption rate + valley period electricity price × valley period photovoltaic absorption rate + on-grid electricity price × (1-total photovoltaic absorption rate).

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