Power supply and distribution system for photovoltaic power generation

Abstract

The invention discloses a power supply and distribution system for photovoltaic power generation, which relates to the technical field of photovoltaic power supply and comprises a data acquisition module, a power grid planning module, a market adjustment module and a power grid collaboration module. The data acquisition module is used for collecting data information of photovoltaic power generation; the market adjustment module is used for carrying out demand response according to a prediction result of the power grid planning module; the power grid cooperation module is used for balancing the fluctuation and unpredictability of photovoltaic power generation according to the data of the data acquisition module; the perspectiveness of power grid planning is enhanced, the power grid planning is closely combined with photovoltaic power generation growth prediction, and users are stimulated to participate in optimal configuration of power resources through price signals and a demand response mechanism; the market mechanism can be flexibly adjusted according to the volatility and unpredictability of photovoltaic power generation; the economic development index of the place where the photovoltaic power generation equipment is located is brought into the prediction process, so that the influence caused by different regions where the photovoltaic power generation equipment is located can be reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photovoltaic power supply, more particularly to a photovoltaic power generation power supply and distribution system. BACKGROUND

[0002] The photovoltaic power generation power supply and distribution system is a system that uses solar panels to convert sunlight into electricity and transmits and distributes the electricity to users or the power grid through a series of equipment and control systems. It usually includes solar panels, which are the core part of the photovoltaic power generation system and are responsible for converting sunlight into direct current; inverters, which convert direct current into alternating current to meet the power needs of most household appliances and industrial equipment; energy storage systems, which usually include batteries for storing excess electricity for use in the absence of light or at night; power distribution cabinets, which include circuit breakers, protection devices, etc., for controlling and protecting the circuit; monitoring systems for real-time monitoring of the operation status of the photovoltaic system, including power generation, battery status, inverter status, etc.; and grid-connected equipment, which is required if the photovoltaic system needs to be connected to the grid, including grid-connected inverters and related grid connection protocols. In actual use, with the rapid development of the photovoltaic power generation industry, the access and consumption capacity of the power grid has become an important factor restricting its development, especially in areas with high demand for electricity, the pressure of grid access and consumption is huge. The present technical solution is closely combined with the growth prediction of photovoltaic power generation by strengthening the forward-looking of power grid planning. Moreover, the existing power market design may not fully consider the volatility and unpredictability of photovoltaic power generation, resulting in a market mechanism that cannot effectively encourage the consumption of photovoltaic power generation. The present technical solution designs a more flexible power market mechanism, such as introducing real-time pricing, demand response, etc., to encourage increased power consumption or reduced unnecessary consumption during the peak period of photovoltaic power generation. SUMMARY

[0003] To solve the problem that the existing power market design may not fully consider the volatility and unpredictability of photovoltaic power generation, resulting in a market mechanism that cannot effectively encourage the consumption of photovoltaic power generation, the present technical solution designs a more flexible power market mechanism, such as introducing real-time pricing, demand response, etc., to encourage increased power consumption or reduced unnecessary consumption during the peak period of photovoltaic power generation. The present application provides a photovoltaic power generation power supply and distribution system.

[0004] A photovoltaic power generation power supply and distribution system, comprising: a data acquisition module, a power grid planning module, a market adjustment module, and a power grid coordination module; The data acquisition module is used to collect data information of photovoltaic power generation; The power grid planning module includes a load prediction unit and a power generation prediction unit. The load prediction unit is used to perform power grid load prediction based on the data provided by the data acquisition module, specifically: According to the formula , the predicted value of the post-time point load is calculated , where ln is the natural logarithm function, the logarithm with base e is calculated, represents the i-th original data in the original data sequence, Z is the increment based on the time sequence, t is the difference between the predicted time point and the current time point, and the unit is day; The power generation prediction unit is used to predict the growth of photovoltaic power generation according to the data provided by the data acquisition module; The market adjustment module is used to respond to demand according to the prediction results of the power grid planning module; The power grid coordination module is used to balance the volatility and unpredictability of photovoltaic power generation according to the data of the data acquisition module.

[0005] Preferably, the specific working mode of the power generation prediction unit is as follows: The solar radiation intensity at time point t , the ambient temperature and the relative humidity are obtained; According to the formula , the photovoltaic power generation power at time t is calculated, where is the standard test temperature, is the temperature coefficient, is the humidity coefficient, is the photovoltaic cell conversion power under standard test conditions, and A is the surface area of the photovoltaic cell panel.

[0006] Preferably, the load prediction unit is also used to predict the power load by comprehensively considering the local economic conditions of the photovoltaic power generation equipment, specifically: The total value of the region where the photovoltaic power generation equipment is located at time point t is obtained; The industrial added value of the region where the photovoltaic power generation equipment is located at time point t is obtained; The population of the region where the photovoltaic power generation equipment is located at time point t is obtained; The electrification rate of the region where the photovoltaic power generation equipment is located at time point t is obtained; According to the formula , the local economic indicators of the power load are calculated , where , , and for model parameters; According to the formula , the predicted value of the post-load at the new time point is calculated .

[0007] Preferably, the market adjustment module comprises a judgment unit and an adjustment unit, and the specific working mode of the judgment unit is as follows, specifically: According to the formula , the supply-demand difference value at time point t is calculated ; If the supply-demand difference value is greater than 0, it indicates that there is a power shortage after time point t, and if the supply-demand difference value is less than 0, it indicates that there is a power surplus after time point t; Signal transmission to the adjustment unit and the grid coordination module.

[0008] Preferably, the adjustment unit is used to adjust the electricity price according to the result of the judgment unit, specifically: Get the electricity price F under standard conditions; According to the formula , the adjusted electricity price is calculated, where E is the price elasticity, indicating the sensitivity of demand to price changes.

[0009] Preferably, the specific acquisition method of the price elasticity E is as follows: Get the price change amount and the percentage of price change of the electricity price at the current time point and the previous quarter before the current time point; Get the change amount and the percentage of load change of the power load at the current time point and the previous quarter before the current time point; According to the formula , the price elasticity E is obtained.

[0010] Preferably, the grid coordination module comprises a storage unit and a balancing unit, and the storage unit is used to store energy according to the result of the judgment unit, specifically: When there is a power surplus, the interval time between the current time point and the next time point t is obtained, and the charging time is obtained in hours, and the charging amount is calculated according to the amount of power surplus, which is the supply-demand difference value , according to the formula , the total charging amount is calculated; Obtain the capacity C of the energy storage unit and determine the total charging amount. Is it greater than the capacity C? If it is, the total charging amount is C; if it is less than or equal to, the total charging amount is... ; Obtain the interval between the current time point and the next time point t, and calculate the charging time in hours. According to the formula Obtain the charging rate ; Total charging amount and charging rate The energy is transmitted to the energy storage unit for energy storage.

[0011] Preferably, when there is a power surplus: The discharge amount is calculated based on the amount of excess power supply, representing the supply-demand gap. According to the formula The total discharge amount was calculated. ; Obtain the capacity C of the energy storage unit and determine the total discharge amount. Is the total charge greater than the capacity C? If it is, then the total charge is C; if it is less than or equal to the capacity C, then the total discharge is... ; Obtain the interval between the current time point and the next time point t, and calculate the charging time in hours. According to the formula The discharge rate was obtained. ; Total discharge and discharge rate The energy is transmitted to the energy storage unit for energy storage.

[0012] Preferably, the balancing unit operates as follows: Obtain the standard deviation of photovoltaic power generation output in the previous quarter at the current time. ; According to the formula The root mean square error Y of photovoltaic power generation output in the previous quarter at the current time point is calculated, where N is the number of days in the previous quarter at the current time point. This represents the predicted photovoltaic power generation on day y. This represents the actual photovoltaic power generation on day y. According to the formula The reserved capacity of the energy storage unit is calculated and obtained. Reserved capacity Substituting into the energy storage unit, the total charge and total discharge are determined using... ,in and is a coefficient.

[0013] Preferably, the coefficient and are obtained as follows: According to the formula ; , the coefficient and are obtained by calculation , wherein is the risk tolerance value of the photovoltaic device, is the capacity factor,

[0014] Beneficial effects: By strengthening the forward-looking of the power grid planning, closely combining with the growth prediction of photovoltaic power generation, through the price signal and demand response mechanism, users are encouraged to participate in the optimal allocation of power resources; it can flexibly adjust the market mechanism according to the volatility and unpredictability of photovoltaic power generation; By including the local economic development indicators of the photovoltaic power generation equipment in the prediction process, the influence caused by the different regions where the photovoltaic power generation equipment is located can be reduced. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 is a flowchart of the present application. DETAILED DESCRIPTION

[0016] As Figure 1 shown, a photovoltaic power generation power supply and distribution system includes a data acquisition module, a power grid planning module, a market adjustment module, and a power grid coordination module; it should be noted that the photovoltaic power generation power supply and distribution system is a system that uses solar panels to convert sunlight into electrical energy and transmits and distributes the electrical energy to users or the power grid through a series of equipment and control systems, usually including solar panels: the core part of the photovoltaic power generation system, responsible for converting sunlight into direct current; inverter: converts direct current into alternating current to meet the power needs of most household appliances and industrial equipment; energy storage system: usually includes batteries, used to store excess electricity for use in the absence of light or at night; power distribution cabinet: including circuit breakers, protection devices, etc., used to control and protect circuits; monitoring system: used to monitor the running state of the photovoltaic system in real time, including power generation, battery status, inverter status, etc.; grid-connected equipment: if the photovoltaic system needs to be connected to the grid, grid-connected equipment needs to be used, including grid-connected inverters and related grid-connected protocols; In actual use, with the rapid development of the photovoltaic power generation industry, the access and consumption capacity of the power grid has become an important factor restricting its development, especially in areas with high demand for electricity, the access and consumption pressure of the power grid is huge, the technical solution of the present application can strengthen the forward-looking of the power grid planning, closely combine with the growth prediction of photovoltaic power generation; Moreover, the existing power market design may not fully consider the volatility and unpredictability of photovoltaic power generation, leading to ineffective market mechanisms to encourage the consumption of photovoltaic power generation. The technical solution designs a more flexible power market mechanism, such as introducing real-time pricing and demand response measures, to encourage increased power consumption or reduced unnecessary consumption during peak photovoltaic power generation periods. The data collection module is used to collect data information of photovoltaic power generation. It should be noted that in this embodiment, the data information includes photovoltaic power generation output data, power generation capacity: the total power generated by the photovoltaic power generation system in different time periods; power generation efficiency: the efficiency of the photovoltaic panel in converting sunlight into electrical energy, usually expressed as a percentage; light intensity: the intensity of sunlight in the photovoltaic power generation area, affecting the efficiency of power generation; temperature data: the ambient temperature of the photovoltaic power generation area, affecting the efficiency of the photovoltaic panel; photovoltaic panel status: including the running status of the panel (such as whether it is blocked, damaged) and maintenance needs; inverter status: the running status, efficiency and fault record of the inverter; energy storage system status: the charge and discharge status, remaining capacity and health status of the energy storage system; system loss: energy loss in the photovoltaic power generation system, including transmission loss and conversion loss; grid load data, total load: the total power demand of the grid in a certain time period; peak load: the highest point of grid load, usually occurring during peak power consumption periods; load distribution: the power demand distribution of different areas or different time periods; load prediction: based on historical data and prediction models, predicting future grid load; grid frequency: the frequency of the grid operation, reflecting the stability of the grid; voltage level: the voltage level of each node of the grid, ensuring power supply quality; line load: the load of each line of the grid, avoiding overload; grid fault record: the occurrence time, type and impact range of the grid fault; user power consumption data; power consumption: the total power consumption of the user in a certain time period; power consumption peak and valley: the peak and valley periods of user power consumption; power consumption type: the user's power consumption type, such as industrial power consumption, commercial power consumption or residential power consumption; power consumption equipment status: the running status and energy consumption of the user's power consumption equipment; demand response: the user's participation in the demand response mechanism of the grid, such as reducing power consumption or participating in energy storage; price sensitivity: the user's sensitivity to changes in electricity prices, affecting their power consumption behavior; user satisfaction: the user's satisfaction and feedback on power supply; user-side energy storage status: the charge and discharge status and remaining capacity of the user-side energy storage device; It should also be noted that real-time data collection and processing can ensure the timeliness and accuracy of decision-making. The grid planning module includes a load prediction unit and a power generation prediction unit. The load prediction unit is used to predict the grid load based on the data provided by the data collection module, specifically: According to the formula , the predicted value of the load at time point is obtained. wherein ln is a natural logarithm function, the logarithm is calculated with base e, represents the i-th original data in the original data sequence, Z is an increment based on a time sequence, t is a difference between the predicted time point and the current time point, and the unit is day; it should be noted that in the embodiment, the original data sequence is a data point arranged in time, wherein represents the i-th day of the current time period, the value of Z is related to time, and specifically wherein is a parameter determined according to specific applications, and in the embodiment, it is 1.002; The power generation prediction unit is configured to perform photovoltaic power generation growth prediction according to the data provided by the data acquisition module; it should be noted that the prediction result can be obtained according to actual needs, which is conducive to subsequent flexible adjustment of power grid planning and improvement of adaptability of the power grid; The market adjustment module is configured to perform demand response according to the prediction result of the power grid planning module; it should be noted that through the price signal and the demand response mechanism, users are encouraged to participate in the optimal allocation of power resources; the market mechanism can be flexibly adjusted according to the volatility and unpredictability of photovoltaic power generation; The power grid coordination module is configured to balance the volatility and unpredictability of photovoltaic power generation according to the data of the data acquisition module. It should be noted that the volatility of photovoltaic power generation can be balanced to improve the stability of the power grid and assist the operation of the market adjustment module; it should be further noted that the output of photovoltaic power generation changes with the change of solar radiation intensity, and the solar radiation intensity will have significant fluctuations within a day and under different weather conditions. The volatility of photovoltaic power generation can measure the fluctuations of photovoltaic power generation in a period of time due to environmental and seasonal changes, and the output of photovoltaic power generation will also be affected by rapid changes in weather in a short period of time, such as cloud cover, and unexpected factors such as equipment failure. Unpredictability can measure the situation of photovoltaic power generation affected by unexpected factors.

[0017] As an optional embodiment, the specific working mode of the power generation prediction unit is as follows: The solar radiation intensity at the time point t is obtained , the ambient temperature and the relative humidity ; According to the formula , the photovoltaic power generation power after time t is calculated , wherein is the standard test temperature, is the temperature coefficient, is the humidity coefficient, is the conversion power of the photovoltaic cell under standard test conditions, where A is the surface area of the photovoltaic panel. It should be noted that in the present embodiment, the standard test temperature is 25℃; it should also be noted that in the present embodiment, the temperature coefficient and the humidity coefficient are generally obtained by consulting manufacturer data, the manufacturer of the photovoltaic module will usually provide the temperature coefficient and the humidity coefficient, the temperature coefficient and the humidity coefficient may respectively take the values of -0.3% / ℃ and -0.2% / %, meaning that for each increase of 1℃, the efficiency decreases by 0.3% to 0.5%, and for each increase of 1% of relative humidity, the efficiency can decrease by 0.1% to 0.3%.

[0018] As an optional embodiment: the load prediction unit is also used to integrate the local economic situation of the photovoltaic power generation device to predict the power load, specifically: it should be noted that due to the different geographical locations of the photovoltaic power generation device, the local economic situation has a greater impact on electricity consumption, and the economic development level, industrial technology level and the number of electrical equipment will all affect the load change; the present technical solution can reduce the influence caused by the different geographical locations of the photovoltaic power generation device by including the local economic development indicators of the photovoltaic power generation device in the prediction process; obtain the gross domestic product of the region where the photovoltaic power generation device is located at time point t ; it should be noted that the gross domestic product is a measure of the market value of all final goods and services produced in a country or region within a certain period of time; it is usually published by the national statistical bureau or regional statistical department. It can be obtained through the official website of the government, annual statistical report or database; obtain the industrial added value of the region where the photovoltaic power generation device is located at time point t ; it should be noted that the industrial added value refers to the value created by industrial enterprises through production activities within a certain period of time, which is equal to the total industrial output value minus industrial intermediate consumption; the industrial added value data is generally provided by the industrial and information technology department or the statistical department, and can be obtained from industry reports or statistical yearbooks; obtain the population of the region where the photovoltaic power generation device is located at time point t ; it should be noted that the population refers to the total number of resident population at a specific time point; population data is usually obtained from population census or annual population survey, and can be obtained from the national statistical bureau or the statistical department of the local government; obtain the electrification rate of the region where the photovoltaic power generation device is located at time point t It should be noted that the electrification rate refers to the degree of power popularization in an area, usually refers to the proportion of households or enterprises with power supply, and the electrification rate data can be provided by the power company or the energy department, sometimes it can also be obtained through investigation or statistical analysis, in this embodiment, it is any integer from 1 to 10; According to the formula , the local economic indicators of the power load are calculated , wherein , , and are model parameters; it should be noted that the model parameters , , and are obtained by collecting the historical data of gross domestic product , industrial added value , population and electrification rate , then writing the data into matrix form, and finally estimating by using the least square method, in this embodiment, , , and may be , , and According to the formula , the predicted value of the load after the new time point is calculated .

[0019] As an optional embodiment, the market adjustment module includes a judgment unit and an adjustment unit, and the specific working mode of the judgment unit is as follows: According to the formula , the supply-demand difference value after time point t is calculated ; If the supply-demand difference value is greater than 0, it means that there is a power shortage after time point t, and if the supply-demand difference value is less than 0, it means that there is a power surplus after time point t; The signal is transmitted to the adjustment unit and the power grid coordination module. It should be noted that through these measures, the power supply and demand of the next time period can be predicted in advance to ensure the stable operation of the power grid, and demand response can also help to improve energy utilization efficiency.

[0020] As an optional embodiment, the adjustment unit is used to adjust the electricity price according to the result of the judgment unit, specifically: Obtaining the electricity price F under standard conditions; According to the formula , the adjusted electricity price F' is calculated , where E is the price elasticity, indicating the sensitivity of demand to price changes. It should be noted that the price elasticity E is obtained based on historical data; It should also be noted that if the supply-demand difference value is greater than 0, it indicates that there is a power shortage after the time point t, at which time is positive, the adjusted electricity price is greater than F, indicating an increase in electricity prices, and similarly if the supply-demand difference value is less than 0, it indicates that there is a power surplus after the time point t, at which time is negative, the adjusted electricity price is less than F, indicating a decrease in electricity prices; by predicting the growth of photovoltaic power generation in advance, the grid connection and consumption pressure can be reduced in areas with high electricity demand.

[0021] As an optional embodiment, the specific way to obtain the price elasticity E is as follows: Obtaining the price change amount and the percentage of price change of the electricity price at the current time point and the previous quarter; it should be noted that the percentage of price change is obtained by dividing the price change amount by the electricity price of the previous quarter at the current time point and multiplying by 100%; Obtaining the change amount and the percentage of load change of the electricity load at the current time point and the previous quarter; it should be noted that the percentage of load change is obtained by dividing the load change amount by the electricity load of the previous quarter at the current time point and multiplying by 100%; According to the formula , the price elasticity E is obtained. It should be noted that the price elasticity indicates that for every 10% increase in electricity prices, electricity load decreases by 5%, showing the sensitivity of demand to price changes.

[0022] As an optional embodiment, the grid coordination module includes an energy storage unit and a balancing unit, and the energy storage unit is used to store energy according to the result of the judgment unit, specifically: When there is a power surplus, the interval time between the current time point and the next time point t is obtained, and the charging time is obtained in hours, and the charging amount is calculated based on the amount of power surplus, which is the supply-demand difference value , according to the formula The total charging amount is calculated. ; Obtain the capacity C of the energy storage unit and determine the total charging amount. Is it greater than the capacity C? If it is, the total charging amount is C; if it is less than or equal to, the total charging amount is... It should be noted that the charging amount should not exceed the energy storage capacity. Obtain the interval between the current time point and the next time point t, and calculate the charging time in hours. According to the formula Obtain the charging rate ; Total charging amount and charging rate The energy is transmitted to the energy storage unit for storage. It should be noted that this ensures the energy storage system can be effectively charged when there is excess power, while avoiding overcharging and exceeding the system's capacity.

[0023] As an optional implementation: when there is excess power: The discharge amount is calculated based on the amount of excess power supply, representing the supply-demand gap. According to the formula The total discharge amount was calculated. ; Obtain the capacity C of the energy storage unit and determine the total discharge amount. Is the total charge greater than the capacity C? If it is, then the total charge is C; if it is less than or equal to the capacity C, then the total discharge is... It should be noted that the discharge amount should not exceed the energy storage capacity. Obtain the interval between the current time point and the next time point t, and calculate the charging time in hours. According to the formula The discharge rate was obtained. ; Total discharge and discharge rate The energy is transmitted to the energy storage unit for storage. It should be noted that the energy storage system can effectively discharge during periods of insufficient power supply to supplement the grid load, ensure the stable operation of the grid, and also help to quickly respond to sudden increases in power demand or power generation equipment failures.

[0024] As an optional embodiment, the specific operation of the balancing unit is as follows: Obtain the standard deviation of photovoltaic power generation output in the previous quarter at the current time. It should be noted that, using days as the unit, the dataset of daily photovoltaic power generation output for the previous quarter was obtained, and the standard deviation of the dataset was calculated. It should be noted that the standard deviation of the photovoltaic power in the previous quarter before the current time point The volatility of the photovoltaic power can be quantified. According to the formula , the root mean square error Y of the photovoltaic power output in the previous quarter before the current time point is calculated and obtained, where N is the number of days in the previous quarter before the current time point, represents the predicted photovoltaic power on the yth day, represents the actual photovoltaic power on the yth day; It should be noted that the root mean square error Y can quantify the unpredictability of the photovoltaic power; According to the formula , the reserved capacity of the energy storage unit is calculated and obtained , the reserved capacity is substituted into the energy storage unit, and is used when judging the total charging capacity and the total discharging capacity, and are coefficients. It should be noted that the volatility and unpredictability of the photovoltaic power can be quantified, and the reserved additional capacity of the energy storage unit is adjusted accordingly to ensure stable operation of the power system.

[0025] As an optional embodiment, the specific acquisition method of the coefficients and is as follows: According to the formula ; , the coefficients and are calculated and obtained, where is the risk tolerance value of the photovoltaic device, is the capacity factor, is the cost factor. It should be noted that in this embodiment, the risk tolerance value determines the coefficient according to the risk preference of the power system operator. The risk preference can be conservative, neutral or positive. In this embodiment, the risk tolerance value is 0.8, corresponding to the conservative risk preference. The capacity factor reflects the influence of the energy storage system capacity on the coefficient. In this embodiment, the capacity factor is 1.021, which is obtained by considering the capacity limit of the energy storage unit. The cost factor reflects the influence of the economic cost on the coefficient. Considering the economic cost, the cost factor in this embodiment is 0.876.

[0026] Working principle By strengthening the forward-looking of the power grid planning and closely combining with the growth prediction of photovoltaic power generation, through the price signal and demand response mechanism, users are encouraged to participate in the optimal allocation of power resources; the market mechanism can be flexibly adjusted according to the volatility and unpredictability of photovoltaic power generation; By taking the economic development index of the place where the photovoltaic power generation device is located into the prediction process, the influence caused by different places where the photovoltaic power generation device is located can be reduced.

[0027] The above are only preferred embodiments of the present application, and the protection scope of the present application is not limited to the above-mentioned embodiments. Any technical solutions falling within the concept of the present application shall fall within the protection scope of the present application. It should be noted that, for ordinary technicians in the technical field, some improvements and refinements without departing from the principles of the present application shall also be considered as the protection scope of the present template.

Claims

1. A power supply and distribution system for photovoltaic power generation, characterized by, The utility model relates to a photovoltaic power generation data acquisition and market adjustment system, including: Data acquisition module, power grid planning module, market adjustment module and power grid coordination module; The data acquisition module is used for collecting photovoltaic power generation data information; The power grid planning module includes a load forecasting unit and a power generation forecasting unit, the load forecasting unit is used for carrying out power grid load forecasting based on the data provided by the data acquisition module, specifically: According to the formula , the predicted value of the post-load at the time point obtained by calculation , wherein ln is a natural logarithm function, the logarithm with base e is calculated, represents the i-th original data in the original data sequence, Z is an increment based on a time sequence, t is the difference between the predicted time point and the current time point, and the unit is day; The power generation forecasting unit is used for carrying out photovoltaic power generation growth forecasting according to the data provided by the data acquisition module; The market adjustment module is used for demand response according to the forecasting result of the power grid planning module; The power grid coordination module is used for balancing the volatility and unpredictability of photovoltaic power generation according to the data of the data acquisition module.

2. The photovoltaic power generation power supply and distribution system according to claim 1, characterized by, The specific working mode of the power generation forecasting unit is as follows: obtaining the solar radiation intensity at the time point t , the ambient temperature , and the relative humidity ; The photovoltaic power P(t) at time t is calculated according to the formula where is the standard test temperature, is the temperature coefficient, is the humidity coefficient, is the conversion power of the photovoltaic cell under standard test conditions, where A is the surface area of the photovoltaic panel.​ 3. The photovoltaic power generation power supply and distribution system according to claim 1, characterized by, The load forecasting unit is also used for predicting power load by comprehensively considering the local economic conditions of photovoltaic power generation equipment, specifically: obtaining a gross domestic product of a region where the photovoltaic power generation device is located at a time point t ; obtaining the industrial added value of the region where the photovoltaic power generation device is located at the time point t ; obtaining the population of the region in which the photovoltaic power plant is located at the time point t ; obtaining an electrification rate of a region where the photovoltaic power generation device is located at a time point t ; According to the formula , the economic indicators of the place where the power load is obtained are calculated , wherein , , and are model parameters; According to the formula , the predicted value of the afterload at the new time point is calculated.

4. The photovoltaic power generation power supply and distribution system according to claim 3, characterized by, The market adjustment module includes a judgment unit and an adjustment unit, the specific working mode of the judgment unit is as follows, specifically: The supply-demand balance value at the time point t after the acquisition is calculated according to the formula , as follows ; If the supply-demand difference value is greater than 0, it indicates that power supply is insufficient after the time point t, and if the supply-demand difference value is less than 0, it indicates that power supply is excessive after the time point t. Signal transmission to the adjustment unit and the power grid coordination module.

5. The photovoltaic power generation power supply and distribution system according to claim 1, characterized by, The adjustment unit is used for adjusting the electricity price according to the result of the judgment unit, specifically: Get the electricity price F under standard conditions; According to the formula The adjusted electricity price is calculated and obtained. , where E is the price elasticity, representing the sensitivity of demand to price changes.

6. The photovoltaic power generation power supply and distribution system according to claim 5, wherein The specific acquisition mode of the price elasticity E is as follows: obtaining a price change amount of the electricity price of the previous quarter before the current time point and a percentage of the price change ; obtaining a current time point and a variation of the power load one quarter before the current time point and a percentage of the load variation ; According to the formula , the price elasticity E is obtained.

7. The photovoltaic power generation power supply and distribution system according to claim 4, characterized by, The power grid coordination module includes an energy storage unit and a balancing unit, the energy storage unit is used for energy storage according to the result of the judgment unit, specifically: When the power supply is in excess, the interval time between the current time point and the next time point t is obtained, and the charging time is obtained in hours The charging amount is calculated according to the amount of excess power supply, which is the supply-demand difference value The total charging amount is calculated according to the formula ;​ The capacity C of the energy storage unit is acquired, and it is determined whether the total charging amount is greater than the capacity C. If it is greater, the total charging amount is C. If it is less than or equal to, the total charging amount is C. ; An interval time between the current time point and the next time point t is obtained in hours , a charging rate is obtained according to the formula ; The total amount of charge and the charging rate is transmitted to the energy storage unit for energy storage.

8. The photovoltaic power generation power supply and distribution system according to claim 7, characterized by, When power supply is excessive: The discharge amount is calculated according to the amount of excess power supply, and is a supply-demand difference value , the total discharge amount is calculated according to the formula ;​ The capacity C of the energy storage unit is obtained, and it is determined whether the total discharge amount is greater than the capacity C. If it is greater, the total charge amount is C, and if it is less than or equal to, the total discharge amount is ; The interval time between the current time point and the next time point t is obtained in hours The discharge rate is obtained according to the formula ;​ The total discharge amount and the discharge rate are transmitted to the energy storage unit for energy storage.

9. The photovoltaic power generation power supply and distribution system according to claim 8, characterized by, The specific working mode of the balancing unit is as follows: obtaining a standard deviation of the photovoltaic power output in the previous quarter before the current time point ; According to the formula , the root mean square error Y of the photovoltaic power output of the previous quarter before the current time point is calculated, wherein N is the number of days of the previous quarter before the current time point, represents the predicted photovoltaic power on the yth day, represents the actual photovoltaic power on the yth day; According to the formula , the reserved capacity of the energy storage unit is calculated , the reserved capacity is substituted into the energy storage unit, and the total charging capacity and the total discharging capacity are determined , wherein and are coefficients.

10. The photovoltaic power generation power supply and distribution system according to claim 9, wherein The coefficients And The specific acquisition method is as follows: According to the formula ; , the coefficients and are calculated, where is the risk tolerance value of the photovoltaic installation, is the capacity factor, is the cost factor.

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