A photovoltaic energy storage management system and method based on artificial intelligence

Abstract

The invention discloses a photovoltaic energy storage management system and method based on artificial intelligence, belonging to the field of artificial intelligence technology. The invention comprises the following steps: analyzing the comprehensive light intensity in different time periods; analyzing the power generation power of photovoltaic components in different time periods; analyzing the comprehensive load power of the power grid to be managed in different time periods; analyzing the energy difference of the power grid to be managed in different time periods; analyzing the charge and discharge state of the battery in different time periods; analyzing the scheduling scheme of photovoltaic energy and power grid electric energy; calculating the total price of power grid electric energy and sending it to users; the invention realizes efficient management of photovoltaic energy and power grid electric energy through real-time collection and analysis of multiple parameters such as power generation efficiency, load power, charge and discharge state of the battery and power grid electricity price of photovoltaic components, reduces the use of power grid electricity, thereby reducing the overall electricity cost, and realizes efficient use of energy and minimization of cost.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence technology, and specifically relates to a photovoltaic energy storage management system and method based on artificial intelligence. Background Art

[0002] Photovoltaic power generation is a clean energy technology that directly converts solar energy into electrical energy. Its application in households, businesses and industries is becoming more and more popular, especially in areas with tight power resources or where stable power supply is needed. It can effectively reduce dependence on traditional fossil energy and help achieve carbon neutrality goals.

[0003] Photovoltaic energy is usually collected by photovoltaic components and stored in batteries during household use as an emergency power source. The main energy used in normal times is still the power grid. The current management system cannot effectively coordinate and optimize photovoltaic energy and power grid energy, resulting in no significant reduction in household energy costs, which reduces the utilization rate and practicality of photovoltaic energy.

[0004] Therefore, people urgently need a photovoltaic energy storage management system based on artificial intelligence to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a photovoltaic energy storage management system based on artificial intelligence to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] A photovoltaic energy storage management method based on artificial intelligence, the method comprising the following steps:

[0008] S1. Collect real-time light intensity, analyze the comprehensive light intensity in different time periods, and analyze the power generation of the photovoltaic components in different time periods in combination with the component area and conversion efficiency of the photovoltaic components;

[0009] S2. Collect the real-time load power of the power grid to be managed, analyze the comprehensive load power of the power grid to be managed in different time periods, and analyze the energy difference of the power grid to be managed in different time periods in combination with the power generation power of the photovoltaic components in different time periods;

[0010] S3, collect the total capacity of the battery, combine the energy difference of the power grid to be managed in different time periods, and analyze the charging and discharging status of the battery in different time periods;

[0011] S4. Collect the standard charge and discharge power and standard charge and discharge efficiency of the battery, and analyze the scheduling plan of photovoltaic energy and grid power energy;

[0012] S5. Collect the electricity prices of the power grid energy in different time periods, combine the dispatching plans of photovoltaic energy and power grid energy, calculate the total price of the power grid energy and send it to users.

[0013] According to the above technical solution, the specific process of step S1 is as follows:

[0014] S1-1, collect real-time light intensity, record the light intensity collection interval as Δt; set the unit time according to the collection interval Δt; record the unit time as T, where T=N×Δt, N is a positive integer;

[0015] By setting the unit time T, the collected light intensity is evenly divided into different time periods; the average value of the light intensity collected in each time period is calculated as the comprehensive light intensity in the corresponding time period; the comprehensive light intensity in the i-th time period is recorded as A i ;

[0016] S1-2, collect the area and conversion efficiency of the photovoltaic module; record the area of ​​the photovoltaic module as S; record the conversion efficiency of the photovoltaic module as η1; calculate the power generation of the photovoltaic module in different time periods, the specific calculation formula is as follows: P1 i =A i ×S×η1; where P1 i represents the power generation of the photovoltaic component in the i-th time period;

[0017] It is used to calculate the real-time power generation of photovoltaic modules and determine their power generation capacity. By grasping the photovoltaic power generation capacity in real time, it provides a basis for energy optimization and scheduling, which helps to improve the utilization rate of solar energy.

[0018] According to the above technical solution, the specific process of step S2 is as follows:

[0019] S2-1, collecting the real-time load power of the power grid to be managed; setting the collection interval of the load power of the power grid to be managed to Δt and collecting it simultaneously with the light intensity;

[0020] Calculate the average load power of the power grid to be managed in each time period as the comprehensive load power of the power grid to be managed in the corresponding time period; record the comprehensive load power of the power grid to be managed in the i-th time period as P2 i ;

[0021] S2-2. According to the power generation power of the photovoltaic components in different time periods and the comprehensive load power of the power grid to be managed in different time periods, the energy difference of the power grid to be managed in different time periods is calculated. The specific calculation formula is as follows: E1 i =(P1 i -P2 i )×T iAmong them, E1 i represents the energy difference of the power grid to be managed in the i-th time period; T i Indicates the length of time elapsed in the i-th time period;

[0022] Analyze historical and real-time data according to time periods to obtain changes in data such as the power grid to be managed, and provide data support for subsequent adjustment analysis;

[0023] When T i When the corresponding time period is the data of the historical time period, the value is equal to T; when T i When the corresponding time period is the data of the current time period, the value is the length of time experienced in the current time period;

[0024] Record user electricity demand for formulating energy supply strategies, ensuring that the power demand of each load is met, dynamically adjusting energy supply, improving the system's responsiveness to load changes, and ensuring the continuity and reliability of power supply.

[0025] According to the above technical solution, the specific process of step S3 is as follows:

[0026] S3-1, collect the total capacity and stored capacity of the battery; record the total capacity of the battery as C total ;

[0027] S3-2. According to the total capacity of the battery and the energy difference of the power grid to be managed in different time periods, the charge and discharge state of the battery in different time periods is calculated. The specific calculation formula is as follows: S i =S i-1 +(E1 i / C total ); where S i Indicates the charge and discharge status of the battery in the i-th time period; S i-1 Indicates the charge and discharge status of the battery in the i-1th time period; the previous time period adjacent to the i-th time period is taken as the i-1th time period;

[0028] If S i Greater than S i-1 , it means that the battery charge and discharge state in the i-th time period is the charging state; if S i Equal to S i-1 , it means that the battery charge and discharge state in the i-th time period is in a balanced state; if S i Less than S i-1 , it means that the charging and discharging state of the battery in the i-th time period is the discharging state;

[0029] According to the power generation and load conditions, the battery charge and discharge status is updated in real time, the energy flow is reasonably distributed, the battery is avoided from over-charging and discharging, and the stability of power supply and battery life are ensured.

[0030] According to the above technical solution, the specific process of step S4 is as follows:

[0031] S4-1. Collect the standard charge and discharge power and standard charge and discharge efficiency of the battery; record the standard charge and discharge power of the battery as P3; record the standard charge and discharge efficiency of the battery as η2; calculate the actual charge and discharge power of the battery, and the specific calculation formula is as follows: P4=P3×η2; where P4 represents the actual charge and discharge power of the battery;

[0032] According to the power generation power of the photovoltaic components and the actual charge and discharge power of the battery in different time periods, the total power of the photovoltaic energy in different time periods is calculated. The specific calculation formula is as follows: P5 i =P1 i +P4; among them, P5 i represents the total power of photovoltaic energy in the i-th time period;

[0033] S4-2, if the total power of photovoltaic energy in the i-th time period is P5 i Greater than or equal to the comprehensive load power P2 of the power grid to be managed in the i-th time period i , it means that the grid power energy does not need to be used; if the total power of photovoltaic energy in the i-th time period P5 i Less than the comprehensive load power P2 of the power grid to be managed in the i-th time period i , it indicates the grid power energy that needs to be used;

[0034] S4-3. When there is no need to use grid power energy, a photovoltaic energy dispatching plan is formed, as follows:

[0035] If the power generation power P1 of the photovoltaic module in the i-th time period i Greater than the comprehensive load power P2 of the power grid to be managed in the i-th time period i And the battery charge and discharge state S in the i-th time period i Less than S max , the photovoltaic energy is used to provide energy for the load of the managed power grid and charge the battery, and the energy difference E1 of the managed power grid in different time periods is calculated. i , calculate the storage value of the battery in different time periods. The specific calculation formula is as follows: E2 i =E1 i ×η2; where E2 i represents the storage value of the battery in the i-th time period; S max Indicates the maximum value of the battery's charge and discharge status;

[0036] If the power generation power P1 of the photovoltaic module in the i-th time period iEqual to the comprehensive load power P2 of the power grid to be managed in the i-th time period i , photovoltaic energy is used to provide energy for the load of the managed power grid;

[0037] If the power generation power P1 of the photovoltaic module in the i-th time period i Less than the comprehensive load power P2 of the power grid to be managed in the i-th time period i And the battery charge and discharge state S in the i-th time period i Greater than S min , photovoltaic energy and batteries are used to provide energy for the load of the managed power grid, and the energy difference E1 of the managed power grid in different time periods is calculated. i , calculate the release value of the battery in different time periods, the specific calculation formula is as follows: E3 i =E1 i ×η2; where E3 i represents the release value of the battery in the i-th time period; S min Indicates the minimum value of the battery's charge and discharge status;

[0038] S4-4. When the grid power energy is needed, a dispatching plan for the grid power energy is formed, which is as follows: while using photovoltaic energy and batteries to provide energy for the load of the managed grid, the grid power energy needs to be dispatched; according to the power generation power P1 of the photovoltaic component in the i-th time period i , the battery charge and discharge status S in the i-1th time period i-1 , the minimum value S of the battery's charge and discharge state min 、Total capacity of the battery C total , the length of time T experienced in the i-th time period i And the comprehensive load power P2 of the power grid to be managed in the i-th time period i , calculate the demand value of power grid energy in different time periods, the specific calculation formula is as follows: E4 i =P2 i ×T i -[(S i-1 -S min )×C total ×η2+P1 i ×T i ]; among them, E4 i It represents the demand value of power grid energy in the i-th time period;

[0039] According to photovoltaic power generation and load demand, the supply and storage of photovoltaic energy are optimized to maximize the use of photovoltaic power generation, reduce power purchases from the power grid, achieve self-consumption of clean energy, and reduce carbon emissions; when photovoltaic power generation and battery energy storage are insufficient, electricity is supplemented through the power grid to ensure the continuity of power supply and improve the stability and reliability of power supply.

[0040] According to the above technical solution, the specific process of step S5 is as follows:

[0041] Collect the electricity prices of power grid energy in different time periods; the electricity price of power grid energy in the i-th time period is recorded as M i ; Combined with the demand value of power grid energy in different time periods, the total price of power grid energy is calculated. The specific calculation formula is as follows:

[0042] ;

[0043] Among them, M total Represents the cost of power grid energy; M total Send user.

[0044] An artificial intelligence-based photovoltaic energy storage management system, the system comprising an information acquisition module, an information processing module and an execution module;

[0045] The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

[0046] According to the above technical solution, the information collection module includes a historical information unit and a real-time information unit;

[0047] The historical information unit is used to collect historical data information of light intensity, load power of the power grid to be managed and batteries; the real-time information unit is used to collect real-time data information of light intensity, load power of the power grid to be managed and batteries.

[0048] According to the above technical solution, the information processing module includes an information storage unit, an information analysis unit and an information transmission unit;

[0049] The information storage unit is used to store the information acquired by the information acquisition module; the information analysis unit is used to analyze the information acquired by the information acquisition module; and the information transmission unit is used for information transmission of each module in the system.

[0050] According to the above technical solution, the execution module includes a display unit and a control unit;

[0051] The display unit is used to provide a visual display of the battery and the power energy of the power grid; the control unit is used to control the dispatching of the photovoltaic energy and the power energy of the power grid to be managed.

[0052] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0053] The present invention realizes efficient management of photovoltaic energy and grid electric energy through real-time collection and analysis of multiple parameters such as power generation efficiency of photovoltaic modules, load power, battery charging and discharging status and grid electricity price. Under different photovoltaic energy supply and demand conditions, the system can intelligently optimize the battery charging and discharging process to ensure priority use of renewable energy while reducing the use of grid electricity, thereby reducing the overall electricity cost. Through reasonable energy scheduling and battery maintenance, the battery service life is extended and the loss of battery caused by frequent deep charging and discharging is avoided. At the same time, while ensuring the power supply needs of users, efficient energy utilization and cost minimization are achieved, thereby enhancing the operational stability and flexibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0055] Figure 1 It is a flow chart of a photovoltaic energy storage management method based on artificial intelligence of the present invention;

[0056] Figure 2 It is a structural schematic diagram of a photovoltaic energy storage management system based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] See also Figure 1 , the present invention provides a technical solution:

[0059] A photovoltaic energy storage management method based on artificial intelligence, the method comprising the following steps:

[0060] S1. Collect real-time light intensity, analyze the comprehensive light intensity in different time periods, and analyze the power generation of the photovoltaic components in different time periods in combination with the component area and conversion efficiency of the photovoltaic components;

[0061] According to the above technical solution, the specific process of step S1 is as follows:

[0062] S1-1, collect real-time light intensity, record the light intensity collection interval as Δt; set the unit time according to the collection interval Δt; record the unit time as T, where T=N×Δt, N is a positive integer;

[0063] By setting the unit time T, the collected light intensity is evenly divided into different time periods; the average value of the light intensity collected in each time period is calculated as the comprehensive light intensity in the corresponding time period; the comprehensive light intensity in the i-th time period is recorded as A i ;

[0064] By taking the average value of the instantaneous data at each moment in the time period, comprehensive data can be obtained, effectively reducing abnormal interference and providing a more accurate data basis;

[0065] S1-2, collect the area and conversion efficiency of the photovoltaic module; record the area of ​​the photovoltaic module as S; record the conversion efficiency of the photovoltaic module as η1; calculate the power generation of the photovoltaic module in different time periods, the specific calculation formula is as follows: P1 i =A i ×S×η1; where P1 i represents the power generation of the photovoltaic component in the i-th time period;

[0066] It is used to calculate the real-time power generation of photovoltaic modules and determine their power generation capacity. By grasping the photovoltaic power generation capacity in real time, it provides a basis for energy optimization and scheduling, which helps to improve the utilization rate of solar energy.

[0067] S2. Collect the real-time load power of the power grid to be managed, analyze the comprehensive load power of the power grid to be managed in different time periods, and analyze the energy difference of the power grid to be managed in different time periods in combination with the power generation power of the photovoltaic components in different time periods;

[0068] According to the above technical solution, the specific process of step S2 is as follows:

[0069] S2-1, collecting the real-time load power of the power grid to be managed; setting the collection interval of the load power of the power grid to be managed to Δt and collecting it simultaneously with the light intensity;

[0070] Calculate the average load power of the power grid to be managed in each time period as the comprehensive load power of the power grid to be managed in the corresponding time period; record the comprehensive load power of the power grid to be managed in the i-th time period as P2 i ;

[0071] S2-2. According to the power generation power of the photovoltaic components in different time periods and the comprehensive load power of the power grid to be managed in different time periods, the energy difference of the power grid to be managed in different time periods is calculated. The specific calculation formula is as follows: E1 i =(P1 i -P2 i )×T i Among them, E1 irepresents the energy difference of the power grid to be managed in the i-th time period; T i Indicates the length of time elapsed in the i-th time period;

[0072] Analyze historical and real-time data according to time periods to obtain changes in data such as the power grid to be managed, and provide data support for subsequent adjustment analysis;

[0073] When T i When the corresponding time period is the data of the historical time period, the value is equal to T; when T i When the corresponding time period is the data of the current time period, the value is the length of time experienced in the current time period;

[0074] Record user electricity demand for formulating energy supply strategies, ensuring that the power demand of each load is met, dynamically adjusting energy supply, improving the system's responsiveness to load changes, and ensuring the continuity and reliability of power supply.

[0075] S3, collecting the total capacity of the battery, combining the energy difference of the power grid to be managed in different time periods, and analyzing the charging and discharging status of the battery in different time periods;

[0076] According to the above technical solution, the specific process of step S3 is as follows:

[0077] S3-1, collect the total capacity and stored capacity of the battery; record the total capacity of the battery as C total ;

[0078] S3-2. Calculate the charge and discharge status of the battery in different time periods based on the total capacity of the battery and the energy difference of the power grid to be managed in different time periods. The specific calculation formula is as follows: S i =S i-1 +(E1 i / C total ); where S i Indicates the charge and discharge status of the battery in the i-th time period; S i-1 Indicates the charge and discharge status of the battery in the i-1th time period; the previous time period adjacent to the i-th time period is taken as the i-1th time period;

[0079] If S i Greater than S i-1 , it means that the battery charge and discharge state in the i-th time period is the charging state; if S i Equal to S i-1 , it means that the battery charge and discharge state in the i-th time period is in a balanced state; if S i Less than S i-1 , it means that the charging and discharging state of the battery in the i-th time period is the discharging state;

[0080] According to the power generation and load conditions, the battery charge and discharge status is updated in real time, the energy flow is reasonably distributed, the battery is avoided from over-charging and discharging, and the stability of power supply and battery life are ensured.

[0081] S4. Collect the standard charge and discharge power and standard charge and discharge efficiency of the battery, and analyze the scheduling plan of photovoltaic energy and grid power energy;

[0082] According to the above technical solution, the specific process of step S4 is as follows:

[0083] S4-1. Collect the standard charge and discharge power and standard charge and discharge efficiency of the battery; record the standard charge and discharge power of the battery as P3; record the standard charge and discharge efficiency of the battery as η2; calculate the actual charge and discharge power of the battery, and the specific calculation formula is as follows: P4=P3×η2; where P4 represents the actual charge and discharge power of the battery;

[0084] According to the power generation power of the photovoltaic components and the actual charge and discharge power of the battery in different time periods, the total power of the photovoltaic energy in different time periods is calculated. The specific calculation formula is as follows: P5 i =P1 i +P4; among them, P5 i represents the total power of photovoltaic energy in the i-th time period;

[0085] S4-2, if the total power of photovoltaic energy in the i-th time period is P5 i Greater than or equal to the comprehensive load power P2 of the power grid to be managed in the i-th time period i , it means that the grid power energy does not need to be used; if the total power of photovoltaic energy in the i-th time period P5 i Less than the comprehensive load power P2 of the power grid to be managed in the i-th time period i , it indicates the grid power energy that needs to be used;

[0086] S4-3. When there is no need to use grid power energy, a photovoltaic energy dispatching plan is formed, as follows:

[0087] If the power generation power P1 of the photovoltaic module in the i-th time period i Greater than the comprehensive load power P2 of the power grid to be managed in the i-th time period i And the battery charge and discharge state S in the i-th time period i Less than S max , the photovoltaic energy is used to provide energy for the load of the managed power grid and charge the battery, and the energy difference E1 of the managed power grid in different time periods is calculated. i , calculate the storage value of the battery in different time periods. The specific calculation formula is as follows: E2 i =E1 i ×η2; where E2i represents the storage value of the battery in the i-th time period; S max Indicates the maximum value of the battery's charge and discharge status;

[0088] If the power generation power P1 of the photovoltaic module in the i-th time period i Equal to the comprehensive load power P2 of the power grid to be managed in the i-th time period i , photovoltaic energy is used to provide energy for the load of the managed power grid;

[0089] If the power generation power P1 of the photovoltaic module in the i-th time period i Less than the comprehensive load power P2 of the power grid to be managed in the i-th time period i And the battery charge and discharge state S in the i-th time period i Greater than S min , photovoltaic energy and batteries are used to provide energy for the load of the managed power grid, and the energy difference E1 of the managed power grid in different time periods is calculated. i , calculate the release value of the battery in different time periods, the specific calculation formula is as follows: E3 i =E1 i ×η2; where E3 i represents the release value of the battery in the i-th time period; S min Indicates the minimum value of the battery's charge and discharge status;

[0090] For example:

[0091] It is known that the power generation power P1 of the photovoltaic module in the i=2th time period i=2 =100; the comprehensive load power P2 of the power grid to be managed in the i=2th time period i=2 =80; the battery charge and discharge status S in the i=2th time period i=2 =0.5; S max =0.9; S min =0.1; T=10; T i=2 =5;η2=0.95;

[0092] Calculate the energy difference of the power grid to be managed in different time periods. The specific calculation formula is as follows: E1 i =(P1 i -P2 i )×T i = (100-80) × 5 = 100;

[0093] The power generation of the photovoltaic module in the i=2th time period P1 i=2 =100 greater than the total load power P2 of the power grid to be managed in i=2 time periods i=2 =80 and the battery charge and discharge status S in the i=2 time period i=2=0.5 less than S max =0.9, then use photovoltaic energy to provide energy to the load of the managed power grid and charge the battery, and calculate the storage value of the battery in different time periods according to the energy difference E12=100 of the managed power grid in different time periods. The specific calculation formula is as follows: E2 i =E1 i ×η2=100×0.95=95;

[0094] S4-4. When the grid power energy is needed, a dispatching plan for the grid power energy is formed, which is as follows: while using photovoltaic energy and batteries to provide energy for the load of the managed grid, the grid power energy needs to be dispatched; according to the power generation power P1 of the photovoltaic component in the i-th time period i , the battery charge and discharge status S in the i-1th time period i-1 , the minimum value S of the battery's charge and discharge state min 、Total capacity of the battery C total , the length of time T experienced in the i-th time period i And the comprehensive load power P2 of the power grid to be managed in the i-th time period i , calculate the demand value of power grid energy in different time periods, the specific calculation formula is as follows: E4 i =P2 i ×T i -[(S i-1 -S min )×C total ×η2+P1 i ×T i ]; among them, E4 i It represents the demand value of power grid energy in the i-th time period;

[0095] According to photovoltaic power generation and load demand, the supply and storage of photovoltaic energy are optimized to maximize the use of photovoltaic power generation, reduce power purchases from the power grid, achieve self-consumption of clean energy, and reduce carbon emissions; when photovoltaic power generation and battery energy storage are insufficient, electricity is supplemented through the power grid to ensure the continuity of power supply and improve the stability and reliability of power supply.

[0096] S5. Collect the electricity prices of power grid energy in different time periods, combine the dispatching schemes of photovoltaic energy and power grid energy, calculate the total price of power grid energy and send it to users;

[0097] According to the above technical solution, the specific process of step S5 is as follows:

[0098] Collect the electricity prices of power grid energy in different time periods; the electricity price of power grid energy in the i-th time period is recorded as M i; Combined with the demand value of power grid energy in different time periods, the total price of power grid energy is calculated. The specific calculation formula is as follows:

[0099] ;

[0100] Among them, M total Represents the cost of power grid energy; M total Send user.

[0101] See also Figure 2 , a photovoltaic energy storage management system based on artificial intelligence, the system includes an information acquisition module, an information processing module and an execution module;

[0102] The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

[0103] According to the above technical solution, the information collection module includes a historical information unit and a real-time information unit;

[0104] The historical information unit is used to collect historical data information of light intensity, load power of the power grid to be managed and batteries; the real-time information unit is used to collect real-time data information of light intensity, load power of the power grid to be managed and batteries.

[0105] According to the above technical solution, the information processing module includes an information storage unit, an information analysis unit and an information transmission unit;

[0106] The information storage unit is used to store the information acquired by the information acquisition module; the information analysis unit is used to analyze the information acquired by the information acquisition module; and the information transmission unit is used for information transmission of each module in the system.

[0107] According to the above technical solution, the execution module includes a display unit and a control unit;

[0108] The display unit is used to provide a visual display of the battery and the power energy of the power grid; the control unit is used to control the dispatching of the photovoltaic energy and the power energy of the power grid to be managed.

[0109] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0110] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A photovoltaic energy storage management method based on artificial intelligence, characterized in that: The method comprises the following steps: S1. Collect real-time light intensity, analyze the comprehensive light intensity in different time periods, and analyze the power generation of the photovoltaic components in different time periods in combination with the component area and conversion efficiency of the photovoltaic components; S2. Collect the real-time load power of the power grid to be managed, analyze the comprehensive load power of the power grid to be managed in different time periods, and analyze the energy difference of the power grid to be managed in different time periods in combination with the power generation power of the photovoltaic components in different time periods; S3, collecting the total capacity of the battery, combining the energy difference of the power grid to be managed in different time periods, and analyzing the charging and discharging status of the battery in different time periods; S4. Collect the standard charge and discharge power and standard charge and discharge efficiency of the battery, and analyze the scheduling plan of photovoltaic energy and grid power energy; S5. Collect the electricity prices of power grid energy in different time periods, combine the dispatching schemes of photovoltaic energy and power grid energy, calculate the total price of power grid energy and send it to users; The specific process of step S3 is as follows: S3-1, collect the total capacity and stored capacity of the battery; record the total capacity of the battery as C total ; S3-2. According to the total capacity of the battery and the energy difference of the power grid to be managed in different time periods, the charge and discharge state of the battery in different time periods is calculated. The specific calculation formula is as follows: S i =S i-1 +(E1 i / C total ); where S i Indicates the charge and discharge status of the battery in the i-th time period; S i-1 Indicates the charge and discharge status of the battery in the i-1th time period; the previous time period adjacent to the i-th time period is taken as the i-1th time period; If S i Greater than S i-1 , it means that the battery charge and discharge state in the i-th time period is the charging state; if S i Equal to S i-1 , it means that the battery charge and discharge state in the i-th time period is in a balanced state; if S i Less than S i-1 , it means that the charging and discharging state of the battery in the i-th time period is the discharging state; The specific process of step S4 is as follows: S4-1. Collect the standard charge and discharge power and standard charge and discharge efficiency of the battery; record the standard charge and discharge power of the battery as P3; record the standard charge and discharge efficiency of the battery as η2; calculate the actual charge and discharge power of the battery, and the specific calculation formula is as follows: P4=P3×η2; where P4 represents the actual charge and discharge power of the battery; According to the power generation power of the photovoltaic components and the actual charge and discharge power of the battery in different time periods, the total power of the photovoltaic energy in different time periods is calculated. The specific calculation formula is as follows: P5 i =P1 i +P4; among them, P5 i represents the total power of photovoltaic energy in the i-th time period; S4-2, if the total power of photovoltaic energy in the i-th time period is P5 i Greater than or equal to the comprehensive load power P2 of the power grid to be managed in the i-th time period i , it means that the grid power energy does not need to be used; if the total power of photovoltaic energy in the i-th time period P5 i Less than the comprehensive load power P2 of the power grid to be managed in the i-th time period i , it indicates the grid power energy that needs to be used; S4-3. When there is no need to use grid power energy, a photovoltaic energy dispatching plan is formed, as follows: If the power generation power P1 of the photovoltaic module in the i-th time period i Greater than the comprehensive load power P2 of the power grid to be managed in the i-th time period i And the battery charge and discharge state S in the i-th time period i Less than S max , the photovoltaic energy is used to provide energy for the load of the managed power grid and charge the battery, and the energy difference E1 of the managed power grid in different time periods is calculated. i , calculate the storage value of the battery in different time periods. The specific calculation formula is as follows: E2 i =E1 i ×η2; where E2 i represents the storage value of the battery in the i-th time period; S max Indicates the maximum value of the battery's charge and discharge status; If the power generation power P1 of the photovoltaic module in the i-th time period i Equal to the comprehensive load power P2 of the power grid to be managed in the i-th time period i , photovoltaic energy is used to provide energy for the load of the managed power grid; If the power generation power P1 of the photovoltaic module in the i-th time period i Less than the comprehensive load power P2 of the power grid to be managed in the i-th time period i And the battery charge and discharge state S in the i-th time period i Greater than S min , photovoltaic energy and batteries are used to provide energy for the load of the managed power grid, and the energy difference E1 of the managed power grid in different time periods is calculated. i , calculate the release value of the battery in different time periods, the specific calculation formula is as follows: E3 i =E1 i ×η2; where E3 i represents the release value of the battery in the i-th time period; S min Indicates the minimum value of the battery's charge and discharge status; S4-4. When the grid power energy is needed, a dispatching plan for the grid power energy is formed, which is as follows: while using photovoltaic energy and batteries to provide energy for the load of the managed grid, the grid power energy needs to be dispatched; according to the power generation power P1 of the photovoltaic component in the i-th time period i , the battery charge and discharge status S in the i-1th time period i-1 , the minimum value S of the battery's charge and discharge state min 、Total battery capacity C total , the length of time T experienced in the i-th time period i And the comprehensive load power P2 of the power grid to be managed in the i-th time period i , calculate the demand value of power grid energy in different time periods, the specific calculation formula is as follows: E4 i =P2 i ×T i -[(S i-1 -S min )×C total ×η2+P1 i ×T i ]; among them, E4 i Represents the demand value of power grid energy in the i-th time period.

2. The photovoltaic energy storage management method based on artificial intelligence according to claim 1, characterized in that: The specific process of step S1 is as follows: S1-1, collect real-time light intensity, record the light intensity collection interval as Δt; set the unit time according to the collection interval Δt; The unit time is recorded as T, where T=N×Δt, N is a positive integer; By setting the unit time T, the collected light intensity is evenly divided into different time periods; the average value of the light intensity collected in each time period is calculated as the comprehensive light intensity in the corresponding time period; the comprehensive light intensity in the i-th time period is recorded as A i ; S1-2, collect the area and conversion efficiency of the photovoltaic module; record the area of ​​the photovoltaic module as S; record the conversion efficiency of the photovoltaic module as η1; calculate the power generation of the photovoltaic module in different time periods, the specific calculation formula is as follows: P1 i =A i ×S×η1; where P1 i Represents the power generation of the photovoltaic component in the i-th time period.

3. The method for photovoltaic energy storage management based on artificial intelligence according to claim 2, characterized in that: The specific process of step S2 is as follows: S2-1, collecting the real-time load power of the power grid to be managed; setting the collection interval of the load power of the power grid to be managed to Δt and collecting it simultaneously with the light intensity; Calculate the average load power of the power grid to be managed in each time period as the comprehensive load power of the power grid to be managed in the corresponding time period; record the comprehensive load power of the power grid to be managed in the i-th time period as P2 i ; S2-2. According to the power generation power of the photovoltaic components in different time periods and the comprehensive load power of the power grid to be managed in different time periods, the energy difference of the power grid to be managed in different time periods is calculated. The specific calculation formula is as follows: E1 i =(P1 i -P2 i )×T i Among them, E1 i represents the energy difference of the power grid to be managed in the i-th time period; T i Indicates the length of time elapsed in the i-th time period.

4. The method for photovoltaic energy storage management based on artificial intelligence according to claim 3, characterized in that: The specific process of step S5 is as follows: Collect the electricity prices of power grid energy in different time periods; the electricity price of power grid energy in the i-th time period is recorded as M i ; Combined with the demand value of power grid energy in different time periods, the total price of power grid energy is calculated. The specific calculation formula is as follows: ； Among them, M total Represents the cost of power grid energy; M total Send user.

5. A photovoltaic energy storage management system based on artificial intelligence, such as a photovoltaic energy storage management method based on artificial intelligence according to any one of claims 1 to 4, characterized in that: The system includes an information collection module, an information processing module and an execution module; The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

6. The photovoltaic energy storage management system based on artificial intelligence according to claim 5, characterized in that: The information collection module includes a historical information unit and a real-time information unit; The historical information unit is used to collect historical data information of light intensity, load power of the power grid to be managed and batteries; the real-time information unit is used to collect real-time data information of light intensity, load power of the power grid to be managed and batteries.

7. The photovoltaic energy storage management system based on artificial intelligence according to claim 5 is characterized in that: The information processing module includes an information storage unit, an information analysis unit and an information transmission unit; The information storage unit is used to store the information acquired by the information acquisition module; the information analysis unit is used to analyze the information acquired by the information acquisition module; and the information transmission unit is used for information transmission of each module in the system.

8. The photovoltaic energy storage management system based on artificial intelligence according to claim 5 is characterized in that: The execution module includes a display unit and a control unit; The display unit is used to provide a visual display of the battery and the power energy of the power grid; the control unit is used to control the dispatching of the photovoltaic energy and the power energy of the power grid to be managed.

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