Photovoltaic energy storage system, and energy storage control method and control device thereof

Abstract

Disclosed in the present invention are a photovoltaic energy storage system, and an energy storage control method and control device thereof. The control method comprises: acquiring load prediction data and photovoltaic output power prediction data; determining a first scheduling power value of an energy storage battery; acquiring a real-time residual power level of the energy storage battery in the photovoltaic energy storage system, and comparing the real-time residual power level with a residual power level threshold; when the real-time residual power level is not lower than the residual power level threshold and the energy storage battery is in a discharging process, determining a discharging power of the energy storage battery on the basis of the first scheduling power value and the real-time residual power level of the energy storage battery; when the real-time residual power level is lower than the residual power level threshold and the energy storage battery is in a charging process, determining a charging power of the energy storage battery on the basis of the first scheduling power value and the real-time residual power level of the energy storage battery; and controlling charging and discharging of the energy storage battery on the basis of the discharging power of the energy storage battery or the charging power of the energy storage battery. By applying the present invention, efficient operation performance of the photovoltaic energy storage system can be improved.

Description

Photovoltaic energy storage system and its energy storage control method and control device Technical Field

[0001] This invention belongs to the field of photovoltaic energy storage technology, specifically, it relates to a photovoltaic energy storage system and its energy storage control method and control device. Background Technology

[0002] With the increasing urgency of energy conservation and emission reduction and the continuous maturation of photovoltaic technology, photovoltaic energy storage systems have been widely applied in many fields such as production and daily life.

[0003] To meet load demands while maximizing solar energy utilization, existing photovoltaic (PV) energy storage systems comprise PV modules and energy storage batteries, offering multiple power supply options. Loads can choose from one or more of these options: solar power, energy storage battery power, or grid power. When solar energy is abundant, PV modules convert solar energy into electricity, partially meeting load demands, with excess energy stored in the energy storage batteries, eliminating the need for grid power. When solar energy is insufficient, the load can be powered by the energy storage batteries and / or the grid. By combining energy storage batteries, PV modules, and the grid, renewable green energy can be utilized to the maximum extent, reducing grid power consumption and achieving energy conservation and emission reduction goals.

[0004] For photovoltaic energy storage systems that incorporate photovoltaic modules and energy storage batteries, energy management, especially the control of battery charging and discharging, is crucial to the system's energy utilization efficiency and operational performance. Therefore, improving the high-efficiency operation of photovoltaic energy storage systems is an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a photovoltaic energy storage system and its energy storage control method and control device to improve the high-efficiency operation performance of the photovoltaic energy storage system.

[0006] To achieve the above-mentioned objectives, the energy storage control method for the photovoltaic energy storage system provided by this invention adopts the following technical solution:

[0007] A method for controlling the energy storage of a photovoltaic energy storage system, comprising:

[0008] Obtain load forecast data and photovoltaic output power forecast data from the photovoltaic energy storage system;

[0009] The first dispatch power value of the energy storage battery at time t is determined based on the daily average power forecast value of the load in the load forecast data, the load power forecast value at time t, and the photovoltaic output power forecast value at time t in the photovoltaic output power forecast data.

[0010] Obtain the real-time remaining power of the energy storage battery in the photovoltaic energy storage system at time t, and compare it with the remaining power threshold.

[0011] When the real-time remaining power is not less than the remaining power threshold and the energy storage battery is in the discharge process, the energy storage battery discharge power at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power.

[0012] When the real-time remaining power is less than the remaining power threshold and the energy storage battery is in the charging process, the energy storage battery charging power at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power.

[0013] The charging and discharging of the energy storage battery is controlled according to the discharge power of the energy storage battery at time t or the charging power of the energy storage battery at time t.

[0014] In some embodiments of this application, the first scheduled power value P of the energy storage battery at time t is... bat_ct satisfy:

[0015] When the real-time remaining power is not less than the remaining power threshold and the energy storage battery is in the discharge process, the energy storage battery discharge power at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power, specifically as follows:

[0016] Calculate the energy storage battery discharge power P at time t using the following formula. bat_t :

[0017] P bat_ct Let be the first scheduled power value of the energy storage battery at time t; P is the predicted daily average power of the load; load_t P is the predicted load power at time t; pv_t P is the predicted photovoltaic output power at time t; bat_t Let P be the discharge power of the energy storage battery at time t; k1 is the first scheduling coefficient; P bat_F The full charge of the energy storage battery is denoted as ; SOC is the real-time remaining charge; and x1 is a set ratio value.

[0018] In some embodiments of this application, the control method further includes:

[0019] When the real-time remaining power is less than the remaining power threshold and the energy storage battery is in the discharge process, the following process is used to determine the energy storage battery discharge power P at time t. bat_t :

[0020] P1_t P is the first intermediate quantity; bat_min P is the minimum dispatch power limit for the energy storage battery. bat_max This is the maximum limit of the dispatch power of the energy storage battery.

[0021] In some embodiments of this application, the first scheduled power value P of the energy storage battery at time t is... bat_ct satisfy:

[0022] When the real-time remaining power is less than the remaining power threshold and the energy storage battery is in the charging process, the energy storage battery charging power at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power, specifically as follows:

[0023] Calculate the energy storage battery charging power P′ at time t using the following formula. bat_t :

[0024] P bat_ct Let be the first scheduled power value of the energy storage battery at time t; P is the predicted daily average power of the load; load_t P is the predicted load power at time t; pv_t P′ is the predicted photovoltaic output power at time t. bat_t Let be the charging power of the energy storage battery at time t; k2 is the second scheduling coefficient; P bat_F The full charge level of the energy storage battery is denoted as ; the SOC (State of Charge) is denoted as ______ the real-time remaining charge level.

[0025] In some embodiments of this application, the control method further includes:

[0026] When the real-time remaining power is not less than the remaining power threshold and the energy storage battery is in the charging process, the energy storage battery charging power P′ at time i is determined using the following process. bat_t :

[0027] P 2_t P is the second intermediate quantity; bat_min P is the minimum dispatch power limit for the energy storage battery. bat_max This is the maximum limit of the dispatch power of the energy storage battery.

[0028] In some embodiments of this application, the remaining power threshold is a variable value.

[0029] In some embodiments of this application, the control method further includes:

[0030] Obtain power grid peak-valley state prediction data;

[0031] When the peak-valley state prediction data of the power grid at time t is a valley period, the remaining power threshold at time t takes a value within the first threshold range.

[0032] When the peak-valley state prediction data of the power grid at time i is a peak time period, the remaining power threshold at time t takes a value within the second threshold range.

[0033] All thresholds within the first threshold range are greater than the thresholds within the second threshold range.

[0034] To achieve the aforementioned objectives, the energy storage control device for the photovoltaic energy storage system provided by this invention employs the following technical solution:

[0035] An energy storage control device for a photovoltaic energy storage system includes:

[0036] The load forecasting data acquisition unit is used to acquire load forecasting data from the photovoltaic energy storage system.

[0037] A photovoltaic output power prediction data acquisition unit is used to acquire photovoltaic output power prediction data in a photovoltaic energy storage system.

[0038] The first dispatch power value determination unit for the energy storage battery is used to determine the first dispatch power value of the energy storage battery at time t based on the daily average power forecast value of the load in the load forecast data, the load power forecast value at time t, and the photovoltaic output power forecast value at time t in the photovoltaic output power forecast data.

[0039] The real-time remaining power acquisition unit is used to acquire the real-time remaining power of the energy storage battery in the photovoltaic energy storage system at time t.

[0040] A power comparison unit is used to compare the real-time remaining power with a remaining power threshold.

[0041] A battery charging and discharging power determination unit is configured to determine the battery discharge power at time t based on the first scheduling power value of the battery at time t and the real-time remaining power, at least when the real-time remaining power is not less than the remaining power threshold and the battery is in a discharging process; and to determine the battery charging power at time t based on the first scheduling power value of the battery at time t and the real-time remaining power, when the real-time remaining power is less than the remaining power threshold and the battery is in a charging process.

[0042] A battery charging and discharging control unit is used to control the charging and discharging of the battery according to the battery discharge power at time t or the battery charging power at time t.

[0043] The present invention provides a photovoltaic energy storage system, including a photovoltaic module and an energy storage battery, and also includes an energy storage control device for the photovoltaic energy storage system.

[0044] The present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the energy storage control method of the photovoltaic energy storage system described above.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are:

[0046] The photovoltaic energy storage system, energy storage control method, and control device provided by this invention determine the first scheduling power value of the energy storage battery at a specific moment based on load forecast data and photovoltaic output power forecast data. When the relationship between the real-time remaining power of the energy storage battery and the remaining power threshold satisfies a set relationship, the discharge power or charging power of the energy storage battery at that specific moment is determined based on the determined first scheduling power value of the energy storage battery at that specific moment and the real-time remaining power of the energy storage battery. Based on the determined discharge power or charging power, the charging and discharging of the energy storage battery is controlled. This enables reasonable, effective, and efficient control of the charging and discharging of the energy storage battery in the photovoltaic energy storage system, maximizing the utilization of energy and improving the high-efficiency operation performance of the photovoltaic energy storage system.

[0047] Other features and advantages of the present invention will become clearer after reading the detailed embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 is a flowchart of an embodiment of the energy storage control method for a photovoltaic energy storage system proposed in this invention;

[0050] Figure 2 is a schematic diagram of an embodiment of the energy storage control device of the photovoltaic energy storage system proposed in this invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] It should be noted that the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0053] Figure 1 shows a flowchart of an embodiment of the energy storage control method for the photovoltaic energy storage system proposed in this invention. In this embodiment, the photovoltaic energy storage system includes an energy supply structure composed of photovoltaic modules and energy storage batteries. The load in the system can be powered by the photovoltaic modules and energy storage batteries individually or simultaneously. The photovoltaic modules can charge the energy storage batteries.

[0054] S11: Obtain load forecast data and photovoltaic output power forecast data from the photovoltaic energy storage system.

[0055] Load forecast data can be obtained through load forecasting models, and includes at least the predicted daily average load power and the predicted load power at specific times. Photovoltaic output power can be predicted through photovoltaic output power forecasting models, and includes at least the predicted photovoltaic output power at specific times. More specific methods and processes for obtaining this data can be implemented using existing technologies.

[0056] S12: Determine the first scheduled power value of the energy storage battery at time t.

[0057] Based on the daily average power forecast value of the load in the load forecast data and the load power forecast value at time t, as well as the photovoltaic output power forecast value at time t in the photovoltaic output power forecast data, determine the first dispatch power value of the energy storage battery at time i.

[0058] When determining the first dispatch power value of the energy storage battery at time t based on the predicted daily average load power, the predicted load power at time t, and the predicted photovoltaic output power at time t, a specific calculation method can be selected according to actual needs. This embodiment does not limit the specific calculation method.

[0059] S13: Obtain the real-time remaining power of the energy storage battery in the photovoltaic energy storage system at time t, and compare it with the remaining power threshold.

[0060] The remaining battery power threshold is a known value, which can be determined according to actual needs. This embodiment does not limit the value of this threshold.

[0061] S14: Determine the discharge / charge power of the energy storage battery at time t based on the comparison results, the first scheduling power value of the energy storage battery at time t, and the real-time remaining power.

[0062] The process specifically includes:

[0063] When the real-time remaining power is not less than the remaining power threshold and the energy storage battery is in the discharge process, the energy storage battery discharge power at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power.

[0064] When the real-time remaining power is less than the remaining power threshold and the energy storage battery is in the charging process, the charging power of the energy storage battery at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power.

[0065] S15: Control the charging and discharging of the energy storage battery based on the battery discharge / charging power at time t.

[0066] In this embodiment, firstly, the first dispatch power value of the energy storage battery at time t is determined based on the predicted daily average load power, the predicted load power at time t, and the predicted photovoltaic output power at time t. This first dispatch power value simultaneously reflects the actual energy demand of the load and the photovoltaic power supply, thus reflecting the actual demand for dispatch power of the energy storage battery. Then, the actual state of the energy storage battery is reflected based on the relationship between the real-time remaining charge and the remaining charge threshold. Finally, the charging or discharging power of the energy storage battery at a specific time is determined based on the actual state of the energy storage battery and the system's actual demand for dispatch power, and the charging and discharging of the energy storage battery is controlled according to this power. Therefore, the charging and discharging control of the energy storage battery in the photovoltaic energy storage system can be achieved reasonably, effectively, and efficiently, maximizing energy utilization and improving the high-efficiency operation performance of the photovoltaic energy storage system.

[0067] In some embodiments, the first scheduled power value P of the energy storage battery at time t bat_ct satisfy: The energy storage battery performs power dispatch according to the first dispatch power value determined in this way, which can meet the load demand.

[0068] When the real-time remaining power is not less than the remaining power threshold and the energy storage battery is in the discharge process, the energy storage battery discharge power at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power, specifically as follows:

[0069] Calculate the energy storage battery discharge power P at time t using the following formula. bat_t :

[0070] P bat_ct Let t be the first scheduled power value of the energy storage battery at time t; P represents the predicted daily average power output of the load. load_t P represents the predicted load power at time t. pv_t P is the predicted photovoltaic output power at time t; bat_tLet P be the discharge power of the energy storage battery at time t; k1 is the first scheduling coefficient; P bat_F The full charge level of the energy storage battery is shown; SOC is the real-time remaining charge level; x1 is the set percentage value.

[0071] The actual discharge power P of the energy storage battery at time t is determined using the above method. bat_t This method comprehensively considers the load demand, the discharged capacity of the energy storage battery, and the current actual remaining capacity of the energy storage battery. Based on the actual discharge power determined by this method, the discharge of the energy storage battery is controlled to meet the load demand as much as possible while ensuring the performance of the energy storage battery, thereby improving the efficient operation performance of the system.

[0072] In other embodiments, if the energy storage battery is in a discharging process, but the real-time remaining capacity is less than the remaining capacity threshold, the following process is used to determine the energy storage battery discharge power P at time t. bat_t :

[0073] P 1_t P is the first intermediate quantity; bat_min P is the minimum dispatch power limit for the energy storage battery, which is a known value. bat_max The maximum dispatch power limit of the energy storage battery is a known value.

[0074] The above method is used to determine the discharge power of the energy storage battery when the real-time remaining power is less than the remaining power threshold. The combination of energy storage battery and photovoltaic is given priority to power the load, while avoiding over-discharge of the energy storage battery and maintaining the stability and safety of the energy storage battery.

[0075] In some embodiments, the control of charging the energy storage battery includes the following process:

[0076] The first dispatch power value P of the energy storage battery at time t bat_ct satisfy: The energy storage battery performs power dispatch according to the first dispatch power value determined in this way, which can meet the load demand.

[0077] When the real-time remaining power is less than the remaining power threshold and the energy storage battery is in the charging process, the charging power of the energy storage battery at time t is determined based on the first scheduling power value of the energy storage battery at time t and the real-time remaining power, specifically as follows:

[0078] Calculate the energy storage battery charging power P′ at time t using the following formula. bat_t :

[0079] P bat_ct Let t be the first scheduled power value of the energy storage battery at time t; P represents the predicted daily average power output of the load.load_t P represents the predicted load power at time t. pv_t P′ is the predicted photovoltaic output power at time t. bat_t Let be the charging power of the energy storage battery at time t; k2 is the second scheduling coefficient; P bat_F This represents the fully charged capacity of the energy storage battery; SOC represents the real-time remaining capacity.

[0080] The actual charging power P′ of the energy storage battery at time t is determined using the method described above. bat_t Taking into account the load demand, the charged capacity of the energy storage battery, and the current actual remaining capacity of the energy storage battery, the method determines the actual charging power to control the charging of the energy storage battery. This ensures the performance of the energy storage battery while meeting the load demand as much as possible and making full use of the current photovoltaic energy, thereby improving the system's efficient operation performance.

[0081] If the remaining battery capacity is not less than the remaining battery capacity threshold during charging, the following process is used to determine the battery charging power P′ at time t. bat_t :

[0082] P 2_t P is the second intermediate quantity; bat_min P is the minimum dispatch power limit for the energy storage battery, which is a known value. bat_max The maximum limit of the dispatch power of the energy storage battery is a known value.

[0083] By using the above method to determine the charging power of the energy storage battery when the real-time remaining power is less than the remaining power threshold, it is possible to store as much excess photovoltaic power as possible in the energy storage battery, while avoiding overcharging of the energy storage battery and maintaining the stability and safety of the energy storage battery.

[0084] In other embodiments, the remaining power threshold is a variable value to adapt to the complex and changing actual conditions of the photovoltaic energy storage system, thereby improving the performance of the photovoltaic energy storage system. Moreover, the remaining power threshold changes dynamically according to the peak and valley conditions of the power grid, achieving the goal of effectively utilizing grid power and improving energy efficiency.

[0085] In some embodiments, the control method for a photovoltaic energy storage system includes the following processes:

[0086] Obtain peak-valley state prediction data for the power grid. The specific acquisition methods and processes will be implemented using existing technologies.

[0087] When the peak-valley state prediction data of the power grid at time t is a valley period, the remaining power threshold at time t is taken within the first threshold range.

[0088] When the peak-valley state prediction data at time i in the power grid peak-valley state prediction data is the peak time period, the remaining power threshold at time t takes a value within the second threshold range.

[0089] Among them, the thresholds within the first threshold range are all greater than the thresholds within the second threshold range.

[0090] The above method is used to determine the remaining power threshold. During peak periods of the power grid, the remaining power threshold is assigned a smaller value, and during off-peak periods of the power grid, the remaining power threshold is assigned a larger value. This fully utilizes the characteristic that the power grid is generally cheaper during off-peak periods and generally cheaper during peak periods, so as to make the most of the power grid during off-peak periods to supply power to the load or charge the energy storage battery, while reducing the use of the power grid during off-peak periods, thus better leveraging the function of energy storage batteries in peak shaving and valley filling and smoothing load fluctuations.

[0091] Figure 2 shows a schematic diagram of an embodiment of the energy storage control device of the photovoltaic energy storage system proposed in this invention. In this embodiment, the photovoltaic energy storage system includes an energy supply structure composed of photovoltaic modules and energy storage batteries. The load in the system can be powered by the photovoltaic modules and energy storage batteries individually or simultaneously. The photovoltaic modules can charge the energy storage batteries.

[0092] As shown in Figure 2, the control device of this embodiment includes structural units, the functions of the structural units, and the relationships between them, as detailed below:

[0093] The control device includes:

[0094] The load forecasting data acquisition unit 21 is used to acquire load forecasting data in the photovoltaic energy storage system.

[0095] The photovoltaic output power prediction data acquisition unit 22 is used to acquire photovoltaic output power prediction data in the photovoltaic energy storage system.

[0096] The first scheduling power value determination unit 23 for energy storage battery is used to determine the first scheduling power value of energy storage battery at time t based on the daily average power prediction value of load and the load power prediction value at time t in the load prediction data obtained by the load prediction data acquisition unit 21 and the photovoltaic output power prediction value at time t in the photovoltaic output power prediction data obtained by the photovoltaic output power prediction data acquisition unit 22.

[0097] The real-time remaining power acquisition unit 24 is used to acquire the real-time remaining power of the energy storage battery in the photovoltaic energy storage system at time t.

[0098] The power comparison unit 25 is used to compare the real-time remaining power obtained by the real-time remaining power acquisition unit 24 with the remaining power threshold.

[0099] The energy storage battery charging and discharging power determination unit 26 is used to determine the energy storage battery charging and discharging power based on the comparison result of the energy capacity comparison unit 25 and the energy storage battery first scheduling power value determined by the energy storage battery first scheduling power value determination unit 23. Specifically, the energy storage battery charging and discharging power determination unit 26 determines the energy storage battery discharging power at time t based on the energy storage battery first scheduling power value at time t and the real-time remaining energy capacity when the real-time remaining energy capacity is not less than the remaining energy capacity threshold and the energy storage battery is in a discharging process; and determines the energy storage battery charging power at time t based on the energy storage battery first scheduling power value at time t and the real-time remaining energy capacity when the real-time remaining energy capacity is less than the remaining energy capacity threshold and the energy storage battery is in a charging process.

[0100] The energy storage battery charge and discharge control unit 27 is used to control the charging and discharging of the energy storage battery according to the energy storage battery discharge power at time t or the energy storage battery charging power at time t determined by the energy storage battery charge and discharge power determination unit 26.

[0101] The control device of the above structure runs the corresponding software program, performs the corresponding function, and controls the system according to the process of the energy storage control method embodiment of the photovoltaic energy storage system in Figure 1 and other embodiments, so as to achieve the corresponding technical effects as the embodiment in Figure 1 and other embodiments.

[0102] The energy storage control device of the photovoltaic energy storage system in the above embodiments is applied to the photovoltaic energy storage system and works in conjunction with the photovoltaic modules and energy storage batteries to improve the high-efficiency operation performance of the photovoltaic energy storage system.

[0103] Other embodiments of the present invention also provide a computer storage medium storing a computer program. When the computer program is executed by a processor, it implements the energy storage control method of the photovoltaic energy storage system in the embodiments of FIG1 and other embodiments, and achieves the technical effects of the corresponding embodiments.

[0104] The aforementioned computer storage media can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The computer storage media can be any available storage medium accessible to general-purpose or special-purpose computers.

[0105] In some embodiments, a computer storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. Both the processor and the storage medium can reside in application-specific integrated circuits (ASICs). Of course, the processor and storage medium can also exist as discrete components in the device.

[0106] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions claimed by the present invention.

Claims

1. A method for energy storage control of a photovoltaic energy storage system, characterized in that, The control method comprises: obtaining load prediction data and photovoltaic output power prediction data in a photovoltaic energy storage system; determining a first scheduling power value of an energy storage battery at time t according to a daily average power prediction value of the load prediction data, a load power prediction value at time t, and a photovoltaic output power prediction value at time t in the photovoltaic output power prediction data; obtaining real-time residual power of the energy storage battery in the photovoltaic energy storage system at time t, and comparing the real-time residual power with a residual power threshold value; when the real-time residual power is not less than the residual power threshold value and the energy storage battery is in a discharging process, determining a discharging power of the energy storage battery at time t according to the first scheduling power value of the energy storage battery at time t and the real-time residual power; when the real-time residual power is less than the residual power threshold value and the energy storage battery is in a charging process, determining a charging power of the energy storage battery at time t according to the first scheduling power value of the energy storage battery at time t and the real-time residual power; controlling charging and discharging of the energy storage battery according to the discharging power of the energy storage battery at time t or the charging power of the energy storage battery at time t.

2. The energy storage control method of a photovoltaic energy storage system according to claim 1, wherein, The first dispatching power value P of the energy storage battery at the t moment bat_ct Satisfies: when the real-time residual power is not less than the residual power threshold value and the energy storage battery is in a discharging process, determining a discharging power of the energy storage battery at time t according to the first scheduling power value of the energy storage battery at time t and the real-time residual power, specifically: The energy storage battery discharge power P at time t is calculated according to the following formula bat_t : P bat_c t is the first dispatch power value of the energy storage battery at the t moment; P is the average load power prediction value of the load day; P load_t P is the load power prediction value at time t; P pv_t P is the photovoltaic output power prediction value at time t; P bat_t P is the energy storage battery discharge power at time t; k1 is the first scheduling coefficient; P bat_F P is the full charge capacity of the energy storage battery; SOC is the real-time remaining capacity; x1 is a set proportion value.

3. The energy storage control method of a photovoltaic energy storage system according to claim 2, wherein, The control method further comprises: When the real-time residual power is less than the residual power threshold and the energy storage battery is in the discharging process, the following process is used to determine the energy storage battery discharging power P at time t bat_t : P 1_t is a first intermediate quantity; P bat_min is a minimum limit of the dispatch power of the energy storage battery, P bat_max is a maximum limit of the dispatch power of the energy storage battery.

4. The energy storage control method of a photovoltaic energy storage system according to claim 1, wherein, The first dispatching power value P of the energy storage battery at the t moment bat_ct Satisfies: when the real-time residual power is less than the residual power threshold value and the energy storage battery is in a charging process, determining a charging power of the energy storage battery at time t according to the first scheduling power value of the energy storage battery at time t and the real-time residual power, specifically: The energy storage battery charging power P' at time t is calculated according to the following formula bat_t : P bat_ct a first dispatchable power value for the energy storage battery at the t time instant; P is the average load power prediction value of the load day; P load_t P is the load power prediction value at time t; P pv_t P is the photovoltaic output power prediction value at time t; P' bat_t P is the energy storage battery charging power at time t; k2 is the second scheduling coefficient; P bat_F SOC is the full charge capacity of the energy storage battery; SOC is the real-time remaining capacity.

5. The energy storage control method of a photovoltaic energy storage system according to claim 4, wherein, The control method further comprises: When the real-time residual power is not less than the residual power threshold and the energy storage battery is in the charging process, the following process is used to determine the energy storage battery charging power P' at time i bat_t : P 2_t is a second intermediate quantity; P pat_min is a minimum limit of the dispatch power of the energy storage battery, P bat_max is a maximum limit of the dispatch power of the energy storage battery.

6. The energy storage control method of a photovoltaic energy storage system according to any one of claims 1 to 5, characterized in that, The residual power threshold value is a variable value.

7. The energy storage control method of a photovoltaic energy storage system according to claim 6, wherein, The control method further comprises: obtaining grid peak-valley state prediction data; when the grid peak-valley state prediction data at time t in the grid peak-valley state prediction data is a trough period, the residual power threshold value at time t is within a first threshold value range; when the grid peak-valley state prediction data at time t in the grid peak-valley state prediction data is a peak period, the residual power threshold value at time t is within a second threshold value range; threshold values within the first threshold value range are all greater than threshold values within the second threshold value range.

8. An energy storage control device of a photovoltaic energy storage system, characterized in that, The control device comprises: a load prediction data obtaining unit configured to obtain load prediction data in a photovoltaic energy storage system; a photovoltaic output power prediction data obtaining unit configured to obtain photovoltaic output power prediction data in the photovoltaic energy storage system; an energy storage battery first scheduling power value determining unit configured to determine a first scheduling power value of an energy storage battery at time t according to a daily average power prediction value of the load prediction data, a load power prediction value at time t, and a photovoltaic output power prediction value at time t in the photovoltaic output power prediction data; a real-time residual power obtaining unit configured to obtain real-time residual power of the energy storage battery in the photovoltaic energy storage system at time t; a power comparison unit configured to compare the real-time residual power with a residual power threshold value; The energy storage battery charging and discharging power determination unit is configured to determine the energy storage battery discharging power at the time t according to the energy storage battery first scheduling power value at the time t and the real-time residual power when the real-time residual power is not less than the residual power threshold and the energy storage battery is in the discharging process, and determine the energy storage battery charging power at the time t according to the energy storage battery first scheduling power value at the time t and the real-time residual power when the real-time residual power is less than the residual power threshold and the energy storage battery is in the charging process. The energy storage battery charging and discharging control unit is configured to control the charging and discharging of the energy storage battery according to the energy storage battery discharging power at the time t or the energy storage battery charging power at the time t.

9. A photovoltaic energy storage system comprising a photovoltaic assembly and an energy storage cell, characterized in that, The energy storage control device of the photovoltaic energy storage system as claimed in claim 8 is also provided.

10. A computer storage medium having stored thereon a computer program, characterized in that The computer program is executed by a processor to implement the energy storage control method of the photovoltaic energy storage system as claimed in any one of claims 1-7. The computer program is executed by a processor to implement the energy storage control method of the photovoltaic energy storage system as claimed in any one of claims 1-7.

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