CN117013926A - Photovoltaic energy storage control system and method - Google Patents
Photovoltaic energy storage control system and method Download PDFInfo
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- CN117013926A CN117013926A CN202310954932.9A CN202310954932A CN117013926A CN 117013926 A CN117013926 A CN 117013926A CN 202310954932 A CN202310954932 A CN 202310954932A CN 117013926 A CN117013926 A CN 117013926A
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- 230000005611 electricity Effects 0.000 claims abstract description 80
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- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 230000007613 environmental effect Effects 0.000 claims description 41
- 238000010248 power generation Methods 0.000 claims description 33
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- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 abstract description 5
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/20—Systems characterised by their energy storage means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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- Engineering & Computer Science (AREA)
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application discloses a photovoltaic energy storage system and a method, and relates to the technical field of photovoltaic energy storage, wherein the system comprises a photovoltaic system, an energy storage system, a power grid and an upper computer; the upper computer includes: the system comprises a first analysis module, a first control module, a second analysis module, a second control module and a third control module. The application comprehensively considers information such as illumination condition, power supply reliability condition, capacity configuration of the energy storage device and the like, and realizes power supply control and power optimization scheduling of loads through cooperative work of the photovoltaic system, the energy storage system, the power grid and the upper computer; the power supply capacity of the solar photovoltaic system and the energy storage system can be effectively managed and optimized, and the electricity cost of the load can be effectively reduced.
Description
Technical Field
The application relates to the technical field of photovoltaic energy storage, in particular to photovoltaic energy storage control and a photovoltaic energy storage method.
Background
Solar energy is becoming more and more widely used as a recognized alternative energy source, with solar photovoltaic power generation becoming the mainstream. As an environment-friendly renewable energy source, the installed scale of solar photovoltaic power generation is currently increasing worldwide.
The photovoltaic power generation project has instability in the aspects of power generation time, power generation intensity and the like, such as solar irradiation intensity in the morning, in the middle and at the evening, solar irradiation intensity in cloudy days and rainy days, solar irradiation intensity in the four seasons, influence of dust accumulation, shading and the like on photovoltaic power generation, and the factors influence the stability of power supply, so that a power supply system for photovoltaic power generation must have certain absorption capacity, otherwise, the instability of the whole power supply network is easily caused. The energy storage system of the photovoltaic power generation can collect unstable electric energy of the photovoltaic power generation and then stably supply the electric energy to the power supply network, so that fluctuation of power supply of the power supply network can be avoided, influence of the photovoltaic power generation on the power supply network is reduced, and complementary effect is achieved.
In the traditional power grid system, due to the fact that the power generation peak is not matched with the power consumption peak, the power flow in the power grid is changed, the per unit value of the voltage of the power distribution network node is changed, and the stability of the power grid is affected, so that a business mode of peak-to-valley electricity price appears, namely, in the power consumption peak period, the resident electricity price is improved, the resident electricity consumption is restrained through the price lever, the electricity consumption in important fields such as industry, national defense is preferentially ensured, and in the peak period of non-industrial electricity such as at night, the resident electricity consumption price is reduced.
The energy storage system for photovoltaic power generation has the advantages of charging and discharging along with the electric energy naturally, and the effect of avoiding time-sharing peak-valley electricity price can be achieved by using the traditional power grid and the energy storage system in a matched mode. The traditional power generation and energy storage management method at present mainly adopts the means that the energy storage device is used for supplying the electric energy to the load at the peak of electricity price and the electric power of the power grid is used for supplying the electric energy to the energy storage device and the load at the valley of electricity price so as to reduce the electricity consumption cost and balance the load. The current management method is rough, and particularly after the photovoltaic power generation system is introduced, more factors need to be considered in the actual situation, such as illumination situation, power supply reliability situation, energy storage device capacity configuration and the like. Therefore, under the background of peak-valley electricity prices, how to use the characteristics of the photovoltaic power generation energy storage system to finely manage the use of electric energy according to comprehensive factors of domestic electricity, and play a role in peak-valley clipping and filling on the electricity prices, so that the electricity cost is reduced, and the technical problem to be solved is urgently needed at present.
Disclosure of Invention
Aiming at the defects in the prior art, the technical scheme of the application is as follows:
in one aspect, a photovoltaic energy storage system is provided, including a photovoltaic system, an energy storage system, a power grid and an upper computer;
the upper computer includes:
the first analysis module is used for acquiring the difference value between the photovoltaic power generation power and the load power, and judging whether the difference value is larger than a preset difference value threshold value or not when the photovoltaic power generation power is larger than the load power;
the first control module is used for controlling the photovoltaic system to supply power to the load and the energy storage system when the difference value is larger than a preset difference value threshold value;
the second analysis module is used for acquiring the real-time electricity price and the preset electricity price when the difference value is smaller than or equal to a preset difference value threshold value and judging whether the real-time electricity price is larger than the preset electricity price or not;
the second control module is used for controlling the photovoltaic system and the energy storage system to supply power to a load according to the stability grade of the photovoltaic system and the power supply capacity grade of the energy storage system when the real-time electricity price is larger than the preset electricity price;
and the third control module is used for controlling the power grid to supply power to the load when the real-time electricity price is smaller than or equal to the preset electricity price.
Preferably, the method for calculating the stability level includes:
obtaining environmental parameters of each photovoltaic panel, wherein the environmental parameters comprise illumination intensity change rate, temperature change rate and wind speed change rate;
and calculating a stability coefficient of the photovoltaic system according to the environmental parameter, and determining the stability grade of the photovoltaic system according to the stability coefficient.
Preferably, obtaining the environmental parameter of each photovoltaic panel comprises:
acquiring environment information of a first period and environment information of a second period;
determining initial environmental parameters according to the environmental information of the two time periods;
and taking the initial environmental parameter as an environmental parameter or inputting the initial environmental parameter into an environmental estimation model based on a neural network to obtain the environmental parameter.
Preferably, a stability coefficient of the photovoltaic system is calculated according to the environmental parameter, and a formula for determining a stability level of the photovoltaic system according to the stability coefficient is as follows:
wherein H is i Representing the stability factor, t, of the ith photovoltaic panel i 、f i 、w i The illumination intensity change rate, the temperature change rate and the wind speed change rate of the ith photovoltaic panel are respectively represented, H represents a stability grade, the maximum power supply capacity coefficient of the ith photovoltaic panel is represented, and n represents the total number of photovoltaic panels.
Preferably, the power supply capability level calculating method includes:
acquiring charge and discharge parameters of each energy storage battery, and according to the charge and discharge parameters, including charge and discharge times, and charge and discharge power and duration of each time;
and calculating the power supply coefficient of the energy storage system according to the charge and discharge parameters, and determining the power supply capacity grade of the energy storage system according to the power supply coefficient.
Preferably, a power supply coefficient of the energy storage system is calculated according to the charge and discharge parameters, and a formula for determining a power supply capacity level of the energy storage system according to the power supply coefficient is as follows:
wherein F is j Represents the power supply capacity coefficient of the jth energy storage battery, k represents the charge and discharge times, E j Represents the rated capacity, Q, of the jth energy storage battery j Represents the maximum charge and discharge times, f, of the jth energy storage battery j Is constant, eta j Represents the charge and discharge depth, p, of the jth energy storage battery jγ Represents the power of the jth energy storage battery for the jth charge and discharge, t jγ And F represents the power supply capacity level of the energy storage system.
Preferably, the preset difference threshold is determined according to a minimum stability level of the photovoltaic system.
Preferably, the second control module is specifically configured to: the second control module is specifically configured to:
adjusting a power supply proportion according to the stability grade and the power supply capacity grade;
and controlling the photovoltaic system and the energy storage system to supply power to a load according to the power supply proportion.
Preferably, the second control module is specifically configured to:
determining the power supply proportion of the photovoltaic system according to the stability grade;
dividing the energy storage battery into three power supply groups with power supply capacity coefficients in different intervals according to the power supply capacity grade, and determining the power supply proportion of each power supply group;
and controlling the photovoltaic system and the energy storage system to supply power to a load according to the power supply proportion.
In a second aspect, there is provided a photovoltaic energy storage method, the method comprising:
step 1, obtaining a difference value between photovoltaic power generation power and load power, and judging whether the difference value is larger than a preset difference value threshold value when the photovoltaic power generation power is larger than the load power;
step 2, when the difference value is larger than a preset difference value threshold value, controlling the photovoltaic system to supply power to the load and the energy storage system;
step 3, when the difference value is smaller than or equal to a preset difference value threshold value, acquiring a real-time electricity price and a preset electricity price, and judging whether the real-time electricity price is larger than the preset electricity price or not;
step 4, when the real-time electricity price is larger than the preset electricity price, controlling the photovoltaic system and the energy storage system to supply power to a load according to the stability grade of the photovoltaic system and the power supply capacity grade of the energy storage system;
and 5, controlling a power grid to supply power to a load when the real-time electricity price is smaller than or equal to the preset electricity price.
The beneficial effects of the application are as follows: the photovoltaic energy storage system comprehensively considers information such as illumination conditions, power supply reliability conditions, capacity configuration of the energy storage device and the like, and realizes power supply control and power optimization scheduling of loads through cooperative work of the photovoltaic system, the energy storage system, a power grid and an upper computer; the power supply capacity of the solar photovoltaic system and the energy storage system can be effectively managed and optimized, and the electricity cost of the load can be effectively reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
Fig. 1 is a schematic structural diagram of a photovoltaic energy storage system according to an embodiment of the present application;
fig. 2 is a flowchart of a photovoltaic energy storage method according to an embodiment of the present application.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
As shown in fig. 1, the photovoltaic energy storage system provided by the embodiment of the application comprises a photovoltaic system, an energy storage system, a power grid and an upper computer; the upper computer includes:
the first analysis module is used for obtaining the difference value between the photovoltaic power generation power and the load power, and judging whether the difference value is larger than a preset difference value threshold value or not when the photovoltaic power generation power is larger than the load power.
And acquiring the power generation power data of the photovoltaic and the energy consumption power data of the load operation in real time for preliminary judgment, and if the difference value of the power generation power and the load power is not smaller than a preset difference value threshold value, indicating that the energy consumption required by the load operation can be covered by the electric energy generated by the photovoltaic power generation system in real time. If the generated power is smaller than the load power, that is, the electric energy generated by the photovoltaic power generation system in real time cannot cover the energy consumption required by the load operation, the energy storage device is required to be started or the electric energy of an external power grid is required to be accessed so as to meet the operation of the load.
The preset difference threshold is determined according to the minimum stability level of the photovoltaic system.
And the first control module is used for controlling the photovoltaic system to supply power to the load and the energy storage system when the difference value is larger than a preset difference value threshold value.
When the difference is greater than a preset difference threshold, a part of solar energy is converted into alternating current through the inverter to supply power to the load, and the rest of the inverter can store the electric energy into the storage battery of the energy storage device.
And the second analysis module is used for acquiring the real-time electricity price and the preset electricity price when the difference value is smaller than or equal to the preset difference value threshold value, and judging whether the real-time electricity price is larger than the preset electricity price.
When the photovoltaic power generation power cannot cover the load, an energy storage system is started or the electric energy of an external power grid is accessed to meet the operation of the load, and when judging whether the electric energy of the external power grid is needed, the photovoltaic power generation power is needed to be judged according to the real-time electricity price of the power grid at the moment.
In this embodiment, the peak-to-valley electricity price mode commonly used in the charging of the power grid is referred to for analysis, and the valley electricity price in the peak-to-valley electricity price is used as the preset electricity price. If the real-time electricity price is larger than the valley electricity price, the electricity price of the power grid is too high, the power grid is not suitable to be used, and the power of the energy storage device can be started first to transition the time period of the high electricity price. If the real-time electricity price is smaller than or equal to the valley electricity price, namely, the electricity price reaches a lower position at the moment, the current lower-position electricity price can be considered to realize the arbitrage of peak-valley electricity price, and the overall operation cost of the load is reduced.
And the second control module is used for controlling the photovoltaic system and the energy storage system to supply power to a load according to the stability grade of the photovoltaic system and the power supply capacity grade of the energy storage system when the real-time electricity price is larger than the preset electricity price.
There is a certain relationship between the stability level of the photovoltaic system and its generated power. The stability level of the photovoltaic system can represent the reliability and stability degree of the system, namely whether the system can continuously and stably generate power under different environmental conditions.
In an embodiment of the present application, obtaining the environmental parameter of each photovoltaic panel includes: acquiring environment information of a first period and environment information of a second period; determining initial environmental parameters according to the environmental information of the two time periods; and taking the initial environmental parameter as an environmental parameter or inputting the initial environmental parameter into an environmental estimation model based on a neural network to obtain the environmental parameter.
In the embodiment of the application, the stability coefficient of the photovoltaic system is calculated according to the environmental parameter, and the formula for determining the stability level of the photovoltaic system according to the stability coefficient is as follows:
wherein H is i Representing the stability factor, t, of the ith photovoltaic panel i 、f i 、w i Respectively representing the illumination intensity change rate, the temperature change rate and the wind speed change rate of the ith photovoltaic panel, H represents the stability level, represents the maximum power supply capacity coefficient of the ith photovoltaic panel, and n represents the light intensityTotal number of photovoltaic panels.
In the embodiment of the application, the method for calculating the stability level comprises the following steps: obtaining environmental parameters of each photovoltaic panel, wherein the environmental parameters comprise illumination intensity change rate, temperature change rate and wind speed change rate; and calculating a stability coefficient of the photovoltaic system according to the environmental parameter, and determining the stability grade of the photovoltaic system according to the stability coefficient.
Considering that measurement errors of parameters such as wind speed, wind direction, illumination intensity, temperature and the like in the micro-grid can have a certain influence on the calculation of the stability level, in practical application, the stability level needs to be compensated according to the measurement errors so as to eliminate the influence of the measurement errors.
The method has the advantages that the stability coefficient of the photovoltaic system is calculated according to the change rate of the environmental parameters, the stability grade of the system is determined through the stability coefficient, the stability of the photovoltaic system under different environmental conditions can be more comprehensively evaluated by considering the change rates of a plurality of environmental parameters such as illumination intensity, temperature and wind speed, and the stability coefficient and the stability grade obtained through calculation can provide targeted guidance and an optimization method for power supply of the photovoltaic system.
In an embodiment of the present application, the method for calculating the power supply capability level includes: acquiring charge and discharge parameters of each energy storage battery, and according to the charge and discharge parameters, including charge and discharge times, and charge and discharge power and duration of each time; and calculating the power supply coefficient of the energy storage system according to the charge and discharge parameters, and determining the power supply capacity grade of the energy storage system according to the power supply coefficient.
In the embodiment of the application, the power supply coefficient of the energy storage system is calculated according to the charge and discharge parameters, and the formula for determining the power supply capacity level of the energy storage system according to the power supply coefficient is as follows:
wherein F is j Represents the power supply capacity coefficient of the jth energy storage battery, k represents the charge and discharge times, E j Represents the rated capacity, Q, of the jth energy storage battery j Represents the maximum charge and discharge times, f, of the jth energy storage battery j Is constant, eta j Represents the charge and discharge depth, p, of the jth energy storage battery jγ Represents the power of the jth energy storage battery for the jth charge and discharge, t jγ And F represents the power supply capacity level of the energy storage system.
According to the embodiment, the power supply capacity of the energy storage system is objectively evaluated by calculating the power supply capacity coefficient of each energy storage battery, and the power supply capacity grade is adopted to describe the power supply capacity of the energy storage system, so that the energy storage system is more visual and easy to understand.
In an embodiment of the present application, the second control module is specifically configured to: the second control module is specifically configured to: adjusting a power supply proportion according to the stability grade and the power supply capacity grade; and controlling the photovoltaic system and the energy storage system to supply power to a load according to the power supply proportion.
In an embodiment of the present application, the second control module is specifically configured to: determining the power supply proportion of the photovoltaic system according to the stability grade; dividing the energy storage battery into three power supply groups with power supply capacity coefficients in different intervals according to the power supply capacity grade, and determining the power supply proportion of each power supply group; and controlling the photovoltaic system and the energy storage system to supply power to a load according to the power supply proportion.
The higher the power supply capacity coefficient is, the more the power supply charge and discharge times are, and in order to ensure the power supply balance of the energy storage system, the energy storage batteries are grouped so as to realize balanced consumption, and the overall service life of the system is prolonged.
The embodiment can effectively manage and optimize the power supply capacity of the solar photovoltaic system and the energy storage system. By adjusting the power supply proportion according to the stability level and the power supply capacity level, the system can be flexibly adjusted according to actual demands so as to meet different power demands of loads, improve the stability of the system, furthest utilize renewable energy sources and reduce the dependence on traditional energy sources.
And the third control module is used for controlling the power grid to supply power to the load when the real-time electricity price is smaller than or equal to the preset electricity price.
In summary, the photovoltaic energy storage system provided by the application realizes power supply control and electric energy optimization scheduling of a load through the cooperative work of the photovoltaic system, the energy storage system, the power grid and the upper computer; the power supply capacity of the solar photovoltaic system and the energy storage system can be effectively managed and optimized; flexible adjustment is carried out according to actual demands, the stability of the system is improved, renewable energy sources are utilized to the maximum extent, and dependence on traditional energy sources is reduced; calculating the stability coefficient of the photovoltaic system through the change rates of a plurality of environmental parameters, determining the stability level of the system according to the stability coefficient, and providing a targeted guidance and optimization method; the power supply capacity of the energy storage system is objectively evaluated by calculating the power supply capacity coefficient of each energy storage battery, and the power supply capacity grade is adopted to describe the power supply capacity of the energy storage system, so that the energy storage system is more visual and easier to understand; the real-time electricity price and the preset electricity price are combined, so that the use of electric energy of a power grid is optimized, and the overall operation cost of a load is reduced; the power supply proportion is regulated and controlled, so that different power requirements of loads are met, and the stability of the system is improved; the method for calculating and analyzing the environmental parameters and the technical parameters is provided, the influence of measurement errors is reduced, and the calculation accuracy is improved; the service life of the energy storage system is prolonged through balanced consumption, and the reliability of the system is improved.
As shown in fig. 2, the method for storing energy in a photovoltaic power according to the embodiment of the present application includes:
step 1, obtaining a difference value between photovoltaic power generation power and load power, and judging whether the difference value is larger than a preset difference value threshold value when the photovoltaic power generation power is larger than the load power;
step 2, when the difference value is larger than a preset difference value threshold value, controlling the photovoltaic system to supply power to the load and the energy storage system;
step 3, when the difference value is smaller than or equal to a preset difference value threshold value, acquiring a real-time electricity price and a preset electricity price, and judging whether the real-time electricity price is larger than the preset electricity price or not;
step 4, when the real-time electricity price is larger than the preset electricity price, controlling the photovoltaic system and the energy storage system to supply power to a load according to the stability grade of the photovoltaic system and the power supply capacity grade of the energy storage system;
and 5, controlling a power grid to supply power to a load when the real-time electricity price is smaller than or equal to the preset electricity price.
It should be understood that, for the same inventive concept, a more specific workflow of each step in the embodiment of the present application may refer to the above embodiment, and details are not repeated in the embodiment of the present application.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description.
Claims (10)
1. The photovoltaic energy storage system is characterized by comprising a photovoltaic system, an energy storage system, a power grid and an upper computer;
the upper computer includes:
the first analysis module is used for acquiring the difference value between the photovoltaic power generation power and the load power, and judging whether the difference value is larger than a preset difference value threshold value or not when the photovoltaic power generation power is larger than the load power;
the first control module is used for controlling the photovoltaic system to supply power to the load and the energy storage system when the difference value is larger than a preset difference value threshold value;
the second analysis module is used for acquiring the real-time electricity price and the preset electricity price when the difference value is smaller than or equal to a preset difference value threshold value and judging whether the real-time electricity price is larger than the preset electricity price or not;
the second control module is used for controlling the photovoltaic system and the energy storage system to supply power to a load according to the stability grade of the photovoltaic system and the power supply capacity grade of the energy storage system when the real-time electricity price is larger than the preset electricity price;
and the third control module is used for controlling the power grid to supply power to the load when the real-time electricity price is smaller than or equal to the preset electricity price.
2. The photovoltaic energy storage system of claim 1, wherein the method for calculating the stability rating comprises:
obtaining environmental parameters of each photovoltaic panel, wherein the environmental parameters comprise illumination intensity change rate, temperature change rate and wind speed change rate;
and calculating a stability coefficient of the photovoltaic system according to the environmental parameter, and determining the stability grade of the photovoltaic system according to the stability coefficient.
3. The photovoltaic energy storage system of claim 1, wherein obtaining the environmental parameter for each photovoltaic panel comprises:
acquiring environment information of a first period and environment information of a second period;
determining initial environmental parameters according to the environmental information of the two time periods;
and taking the initial environmental parameter as an environmental parameter or inputting the initial environmental parameter into an environmental estimation model based on a neural network to obtain the environmental parameter.
4. A photovoltaic energy storage system according to claim 3, wherein the formula for determining the stability rating of the photovoltaic system from the stability factor is:
wherein H is i Representing the stability factor, t, of the ith photovoltaic panel i 、f i 、w i The illumination intensity change rate, the temperature change rate and the wind speed change rate of the ith photovoltaic panel are respectively represented, H represents a stability grade, the maximum power supply capacity coefficient of the ith photovoltaic panel is represented, and n represents the total number of photovoltaic panels.
5. The photovoltaic energy storage system of claim 4, wherein the power capability level calculation method comprises:
acquiring charge and discharge parameters of each energy storage battery, and according to the charge and discharge parameters, including charge and discharge times, and charge and discharge power and duration of each time;
and calculating the power supply coefficient of the energy storage system according to the charge and discharge parameters, and determining the power supply capacity grade of the energy storage system according to the power supply coefficient.
6. The photovoltaic energy storage system of claim 5, wherein the power supply coefficient of the energy storage system is calculated according to the charge and discharge parameters, and the formula for determining the power supply capability level of the energy storage system according to the power supply coefficient is:
wherein F is j Represents the power supply capacity coefficient of the jth energy storage battery, k represents the charge and discharge times, E j Represents the rated capacity, Q, of the jth energy storage battery j Represents the maximum charge and discharge times, f, of the jth energy storage battery j Is constant, eta j Represents the charge and discharge depth, p, of the jth energy storage battery jγ Represents the power of the jth energy storage battery for the jth charge and discharge, t jγ And F represents the power supply capacity level of the energy storage system.
7. The photovoltaic energy storage system of claim 6, wherein the predetermined difference threshold is determined based on a minimum stability rating of the photovoltaic system.
8. The photovoltaic energy storage system of claim 7, wherein the second control module is specifically configured to:
adjusting a power supply proportion according to the stability grade and the power supply capacity grade;
and controlling the photovoltaic system and the energy storage system to supply power to a load according to the power supply proportion.
9. The photovoltaic energy storage system of claim 8, wherein the second control module is specifically configured to:
determining the power supply proportion of the photovoltaic system according to the stability grade;
dividing the energy storage battery into three power supply groups with power supply capacity coefficients in different intervals according to the power supply capacity grade, and determining the power supply proportion of each power supply group;
and controlling the photovoltaic system and the energy storage system to supply power to a load according to the power supply proportion.
10. A method of photovoltaic energy storage adapted for use in a photovoltaic energy storage system according to claims 1-9, the method comprising:
step 1, obtaining a difference value between photovoltaic power generation power and load power, and judging whether the difference value is larger than a preset difference value threshold value when the photovoltaic power generation power is larger than the load power;
step 2, when the difference value is larger than a preset difference value threshold value, controlling the photovoltaic system to supply power to the load and the energy storage system;
step 3, when the difference value is smaller than or equal to a preset difference value threshold value, acquiring a real-time electricity price and a preset electricity price, and judging whether the real-time electricity price is larger than the preset electricity price or not;
step 4, when the real-time electricity price is larger than the preset electricity price, controlling the photovoltaic system and the energy storage system to supply power to a load according to the stability grade of the photovoltaic system and the power supply capacity grade of the energy storage system;
and 5, controlling a power grid to supply power to a load when the real-time electricity price is smaller than or equal to the preset electricity price.
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