Photovoltaic air conditioning system and control method and control device thereof

Abstract

The invention discloses a photovoltaic air-conditioning system and a control method and device thereof, and the control method comprises the steps: obtaining air-conditioning load prediction result data according to known air-conditioning load data and an established air-conditioning load prediction model; according to the known photovoltaic data and the established photovoltaic power generation prediction model, obtaining photovoltaic power generation prediction result data; obtaining power grid load prediction result data according to the power grid data and an established power grid load prediction model; according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data, a first energy storage battery charging and discharging strategy is determined; and determining a second energy storage battery charging and discharging strategy according to the first energy storage battery charging and discharging strategy and a battery remaining capacity threshold adjustment strategy, and controlling the charging and discharging process of the energy storage battery assembly according to the second energy storage battery charging and discharging strategy. According to the invention, the efficient operation performance of the photovoltaic air conditioning system can be improved.

Description

Technical Field

[0001] This invention belongs to the field of energy-saving air conditioning technology, specifically, it relates to the field of photovoltaic air conditioning technology, and more specifically, it relates to photovoltaic air conditioning systems and their control methods and devices. Background Technology

[0002] As an energy-saving air conditioning system, photovoltaic air conditioning systems have been widely applied in various fields such as production and daily life due to the increasingly urgent need for energy conservation and emission reduction and the continuous maturation of photovoltaic technology.

[0003] To meet users' air conditioning needs while maximizing the use of solar energy, existing photovoltaic air conditioning systems typically incorporate photovoltaic modules and energy storage batteries. The air conditioner within these systems can choose from one or more power sources: solar power, energy storage battery power, or grid power. When solar energy is abundant, the photovoltaic modules convert solar energy into electricity, partly to meet the load's needs, and storing excess energy in the energy storage batteries, eliminating the need for grid power. When solar energy is insufficient, the air conditioner can be powered by the energy storage batteries and / or the grid. By combining energy storage batteries, photovoltaic 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 air conditioning systems that utilize multiple power sources, including photovoltaic modules, energy storage batteries, and the municipal power grid, energy management, particularly the control of energy storage battery power, is crucial to the system's operational performance. Therefore, developing an energy control method to improve the efficiency of photovoltaic air conditioning systems is an urgent problem to be solved. Summary of the Invention

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

[0006] To achieve the above-mentioned objectives, the control method for the photovoltaic air conditioning system provided by this invention adopts the following technical solution: A control method for a photovoltaic air conditioning system, the photovoltaic air conditioning system including an air conditioner, photovoltaic modules, energy storage battery modules and a power grid, the control method including: Based on known air conditioning load data and established air conditioning load prediction models, obtain air conditioning load prediction results data; Based on known photovoltaic data and established photovoltaic power generation prediction models, obtain photovoltaic power generation prediction results data; Based on power grid data and established power grid load forecasting models, obtain power grid load forecasting results. Based on the air conditioning load forecast data, the photovoltaic power generation forecast data, and the power grid load forecast data, a first strategy for charging and discharging the energy storage battery is determined. Based on the first energy storage battery charging and discharging strategy and the battery remaining power threshold adjustment strategy, a second energy storage battery charging and discharging strategy is determined, and the charging and discharging process of the energy storage battery module is controlled according to the second energy storage battery charging and discharging strategy.

[0007] In some embodiments of this application, the battery remaining power threshold adjustment strategy includes: Multiple remaining power thresholds are preset, and the multiple remaining power thresholds constitute multiple remaining power intervals; a charging and discharging mode corresponding to each remaining power interval is also preset. Obtain the real-time remaining power of the energy storage battery and determine the remaining power range to which the real-time remaining power belongs; The charging and discharging mode corresponding to the remaining power range is determined based on the charging and discharging mode corresponding to the remaining power range, and is used as the real-time charging and discharging mode.

[0008] In some embodiments of this application, the remaining power threshold is a dynamically variable value adjusted based on the power grid data.

[0009] In some embodiments of this application, adjusting the remaining power threshold based on the power grid data includes: Determine whether the power grid is in a period of low load based on the power grid load forecast data; If the power grid is in the period of low load, increase the remaining power threshold; Otherwise, keep the remaining power threshold unchanged.

[0010] In some embodiments of this application, the remaining power threshold includes a first threshold, a second threshold, and a third threshold that increase sequentially. The three remaining power thresholds constitute four remaining power intervals, and the charging and discharging modes corresponding to each remaining power interval include: When the remaining charge of the energy storage battery is not greater than the first threshold, the corresponding charging mode is the first charging mode; in the first charging mode, the energy storage battery is charged at the first charging rate. When the remaining charge of the energy storage battery is greater than the first threshold and not greater than the second threshold, the corresponding charging mode is the second charging mode; in the second charging mode, the energy storage battery is charged at the second charging rate. When the remaining charge of the energy storage battery is greater than the second threshold and not greater than the third threshold, the corresponding charging mode is the third charging mode; in the third charging mode, the energy storage battery is charged at the third charging rate. When the remaining power of the energy storage battery is greater than the third threshold, the corresponding charging mode is the fourth charging mode; in the fourth charging mode, charging of the energy storage battery is stopped. Furthermore, the first charging rate > the second charging rate > the third charging rate.

[0011] In some embodiments of this application, the charging and discharging modes corresponding to each remaining power range further include: When the remaining charge of the energy storage battery is not greater than the first threshold, the corresponding discharge mode is the first discharge mode; in the first discharge mode, the discharge power of the energy storage battery is less than the first power limit. When the remaining charge of the energy storage battery is greater than the first threshold and not greater than the second threshold, the corresponding discharge mode is the second discharge mode; in the second discharge mode, the discharge power of the energy storage battery is less than the second power limit. When the remaining charge of the energy storage battery is greater than the second threshold and not greater than the third threshold, the corresponding discharge mode is the third discharge mode; in the third discharge mode, the discharge power of the energy storage battery is less than the third power limit. When the remaining charge of the energy storage battery is greater than the third threshold, the corresponding discharge mode is the fourth discharge mode; in the fourth discharge mode, the discharge power of the energy storage battery is less than the fourth power limit. Furthermore, the first power limit < the second power limit < the third power limit < the fourth power limit.

[0012] In some embodiments of this application, a first strategy for charging and discharging the energy storage battery is determined based on the air conditioning load forecast data, the photovoltaic power generation forecast data, and the power grid load forecast data, specifically including: Using a dynamic programming algorithm, with the objectives of minimizing cost and maximizing photovoltaic utilization, a first strategy for charging and discharging the energy storage battery is determined based on the predicted air conditioning load, the predicted photovoltaic power generation, and the predicted grid load.

[0013] To achieve the above-mentioned objectives, the control device for the photovoltaic air conditioning system provided by this invention adopts the following technical solution: A control device for a photovoltaic air conditioning system, the photovoltaic air conditioning system including an air conditioner, photovoltaic modules, energy storage battery modules and a power grid, the control device including: The air conditioning load forecasting unit is used to obtain air conditioning load forecasting results based on known air conditioning load data and established air conditioning load forecasting models. The photovoltaic power generation prediction unit is used to obtain photovoltaic power generation prediction results data based on known photovoltaic data and established photovoltaic power generation prediction models; The power grid load forecasting unit is used to obtain power grid load forecasting results based on power grid data and established power grid load forecasting models. The energy storage battery charging and discharging strategy determination unit is used to determine a first energy storage battery charging and discharging strategy based on the air conditioning load forecast data, the photovoltaic power generation forecast data, and the grid load forecast data; and to determine a second energy storage battery charging and discharging strategy based on the first energy storage battery charging and discharging strategy and the battery remaining power threshold adjustment strategy. An energy storage battery module control unit is used to control the charging and discharging process of the energy storage battery module according to the second charging and discharging strategy of the energy storage battery.

[0014] To achieve the aforementioned objectives, the photovoltaic air conditioning system provided by this invention employs the following technical solution: A photovoltaic air conditioning system includes an air conditioner, a photovoltaic module, an energy storage battery module and a power grid, and also includes a control device for the photovoltaic air conditioning system.

[0015] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the control method of the photovoltaic air conditioning system described above is implemented.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: The photovoltaic air conditioning system and its control method and device provided by this invention predict the air conditioning load, photovoltaic power generation and grid load. Based on the predicted air conditioning load data, photovoltaic power generation data and grid load data, a first charging and discharging strategy for the energy storage battery is determined. Then, the first charging and discharging strategy for the energy storage battery is adjusted according to the battery remaining power threshold adjustment strategy to obtain a second charging and discharging strategy for the energy storage battery. Finally, the charging and discharging of the energy storage battery module is controlled according to the second charging and discharging strategy. This can rationally, effectively and efficiently utilize various energy sources, realize the high-efficiency energy control performance of the photovoltaic air conditioning system, and improve the high-efficiency operation performance of the photovoltaic air conditioning system.

[0017] 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

[0018] 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.

[0019] Figure 1 A flowchart illustrating an embodiment of the control method for a photovoltaic air conditioning system proposed in this invention; Figure 2 This is a schematic diagram of the structure of one embodiment of the control device for the photovoltaic air conditioning system proposed in this invention. Detailed Implementation

[0020] 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.

[0021] 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 can be implemented by those skilled in the art. 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.

[0022] Figure 1 The diagram shows a flowchart of an embodiment of the control method for a photovoltaic air conditioning system proposed in this invention. In this embodiment, the photovoltaic air conditioning system includes an air conditioner and an energy supply structure consisting of photovoltaic modules, energy storage battery modules, and a power grid. The air conditioner can be powered by one or more energy supply units among the photovoltaic modules, energy storage battery modules, and the power grid; the photovoltaic modules or the power grid can charge the energy storage battery modules.

[0023] like Figure 1 As shown, this embodiment uses the following process to control the photovoltaic air conditioning system, specifically the following process to control the charging and discharging of the energy storage battery module.

[0024] S11. Obtain air conditioning load forecast data, photovoltaic power generation forecast data, and power grid load forecast data.

[0025] Specifically, air conditioning load forecasting results are obtained based on known air conditioning load data and established air conditioning load forecasting models; photovoltaic power generation forecasting results are obtained based on known photovoltaic data and established photovoltaic power generation forecasting models; and power grid load forecasting results are obtained based on power grid data and established power grid load forecasting models. The methods and processes for obtaining each set of results can be implemented using existing technologies.

[0026] In some embodiments, the known air conditioning load data is historical air conditioning load data, specifically load data over a past period, including the actual load value and the corresponding timestamp. The air conditioning load forecasting model is a time series analysis model. This model analyzes the known air conditioning load data to identify the periodicity, trend, and seasonality of the air conditioning load. Based on the historical air conditioning load data obtained, it can predict the air conditioning load forecast for a future period, reflecting the future trend of air conditioning load changes and peak / valley conditions.

[0027] In some embodiments, considering that factors such as sunlight intensity, ambient temperature, and photovoltaic module parameters all affect the photovoltaic power generation efficiency of photovoltaic modules, photovoltaic data includes sunlight intensity data, temperature data, historical photovoltaic power generation data, etc. Historical photovoltaic power generation data can include the impact of photovoltaic module parameters on power generation efficiency. The photovoltaic power generation prediction model can predict the photovoltaic power generation in the future period based on the current sunlight intensity data, current temperature data, and historical photovoltaic power generation data.

[0028] In some embodiments, grid data includes historical grid load data, and may also include historical electricity price data, historical seasonal data, etc., corresponding to the historical grid load data. Based on known grid data, the grid load forecasting model can predict the grid load for a future period, and thus predict the peak and off-peak periods of the grid for that period. Since grid load is usually closely related to electricity prices, the predicted grid load results can also be used to predict the grid electricity price for a future period.

[0029] S12. Based on the air conditioning load forecast data, photovoltaic power generation forecast data, and grid load forecast data, determine the first strategy for charging and discharging the energy storage battery.

[0030] The first strategy for charging and discharging the energy storage battery determines whether charging or discharging control is required. The specific methods and processes for determining this first strategy can be implemented using existing technologies.

[0031] In some embodiments, determining a first strategy for charging and discharging the energy storage battery specifically includes: Using dynamic programming algorithms, with the objectives of minimizing cost and maximizing photovoltaic utilization, the first strategy for charging and discharging energy storage batteries is determined based on air conditioning load forecast data, photovoltaic power generation forecast data, and grid load forecast data.

[0032] S13. Determine the second strategy for charging and discharging the energy storage battery based on the first strategy for charging and discharging the energy storage battery and the battery remaining power threshold adjustment strategy, and control the charging and discharging process of the energy storage battery module.

[0033] The first strategy for charging and discharging the energy storage battery determines whether charging or discharging control of the energy storage battery module is needed in the future. Then, by using the battery remaining capacity threshold adjustment strategy and combining it with the first strategy for charging and discharging the energy storage battery, a second strategy for charging and discharging the energy storage battery is obtained, which determines the specific charging and discharging mode and controls the charging and discharging process of the energy storage battery module.

[0034] In the above embodiments, the air conditioning load, photovoltaic power generation, and grid load are predicted. Based on the predicted air conditioning load, photovoltaic power generation, and grid load data, a first charging and discharging strategy for the energy storage battery is determined. Then, the first charging and discharging strategy for the energy storage battery is adjusted according to the battery remaining power threshold adjustment strategy to obtain a second charging and discharging strategy for the energy storage battery. Finally, the charging and discharging of the energy storage battery module is controlled according to the second charging and discharging strategy for the energy storage battery. This can reasonably, effectively, and efficiently utilize various energy sources, achieve efficient energy management performance of the photovoltaic air conditioning system, and improve the efficient operation performance of the photovoltaic air conditioning system.

[0035] In some embodiments, the battery remaining power threshold adjustment strategy includes: There are multiple preset remaining power thresholds, which constitute multiple remaining power ranges; there are also preset charging and discharging modes for each remaining power range.

[0036] Obtain the real-time remaining power of the energy storage battery and determine the remaining power range to which the real-time remaining power belongs.

[0037] The charging and discharging mode corresponding to the remaining power range is determined based on the charging and discharging mode corresponding to the remaining power range, and this mode is used as the real-time charging and discharging mode.

[0038] By utilizing multiple remaining power thresholds to form multiple remaining power intervals, with each remaining power interval corresponding to a charging and discharging mode, a battery remaining power threshold adjustment strategy can be constructed. This enables precise charging and discharging control of energy storage battery modules, which helps improve the safety of energy storage battery modules and the stability of the entire photovoltaic air conditioning system.

[0039] In some other embodiments, the remaining power thresholds include a first threshold A, a second threshold B, and a third threshold C that increase sequentially. These three remaining power thresholds constitute four remaining power intervals: an interval not greater than A, an interval greater than A and less than B, an interval greater than B and less than C, and an interval greater than C. Each remaining power interval corresponds to a charging / discharging mode including a charging mode and a discharging mode.

[0040] The charging modes specifically include: When the remaining charge of the energy storage battery is no greater than the first threshold A, the corresponding charging mode is the first charging mode. In the first charging mode, the energy storage battery is charged at a first charging rate. The first charging rate is a relatively high rate to utilize sufficient solar energy or low-cost grid electricity to quickly charge the energy storage battery components with insufficient remaining charge, thereby compensating for the insufficient charge of the energy storage battery and ensuring that the load demand is met when the energy storage battery is supplying power.

[0041] When the remaining charge of the energy storage battery is greater than the first threshold A and not greater than the second threshold B, the corresponding charging mode is the second charging mode. In the second charging mode, the energy storage battery is charged at a second charging rate. The second charging rate is less than the first charging rate. The second charging rate is a rate value that balances the safety performance and fast charging performance of the energy storage battery, allowing it to be charged quickly while ensuring high safety.

[0042] When the remaining charge of the energy storage battery is greater than the second threshold B and not greater than the third threshold C, the corresponding charging mode is the third charging mode. In the third charging mode, the energy storage battery is charged at the third charging rate. The third charging rate is lower than the second charging rate. In the third charging mode, the energy storage battery has a large remaining charge. Prioritizing the safety performance of the energy storage battery, the charging rate is limited, and the battery can be charged only to the level that meets basic power supply needs to avoid overcharging.

[0043] When the remaining charge of the energy storage battery exceeds the third threshold C, the corresponding charging mode is the fourth charging mode. In the fourth charging mode, charging of the energy storage battery is stopped to avoid overcharging and compromising safety.

[0044] The discharge modes specifically include: When the remaining charge of the energy storage battery is no greater than the first threshold A, the corresponding discharge mode is the first discharge mode. In the first discharge mode, the discharge power of the energy storage battery is less than the first power limit. The first power limit is a smaller power value, and the first discharge mode is a protection mode. When the remaining charge is low, the discharge power of the energy storage battery is limited to prevent the energy storage battery module from being over-discharged and damaging or reducing the stability of the system.

[0045] When the remaining charge of the energy storage battery is greater than a first threshold A and not greater than a second threshold B, the corresponding discharge mode is the second discharge mode. In the second discharge mode, the discharge power of the energy storage battery is less than a second power limit. The second power limit is greater than the first power limit, and the second power limit is a power limit that balances the load demand for the safety performance of the energy storage battery. In the second discharge mode, the energy storage battery is ensured to provide as much power as possible to the load while preventing over-discharge.

[0046] When the remaining charge of the energy storage battery is greater than the second threshold B and not greater than the third threshold C, the corresponding discharge mode is the third discharge mode. In the third discharge mode, the discharge power of the energy storage battery is less than the third power limit. The third power limit is greater than the second power limit. In the third discharge mode, the energy storage battery is prioritized to provide as much power as possible to the load, in order to meet the load's energy demand as much as possible.

[0047] When the remaining charge of the energy storage battery exceeds the third threshold C, the corresponding discharge mode is the fourth discharge mode. In the fourth discharge mode, the discharge power of the energy storage battery is less than the fourth power limit. The fourth power limit is greater than the third power limit and is a power value determined based on actual load demand. In the fourth discharge mode, the energy storage battery is controlled to discharge at a higher power to meet the load's energy requirements.

[0048] In some embodiments, the preset remaining power threshold in the battery remaining power threshold adjustment strategy is not a fixed value, but a dynamically variable value that is adjusted according to grid data. By setting the remaining power threshold to a dynamically variable value that is adjusted according to grid data, it is convenient to adaptively adjust the charging and discharging strategy of the energy storage battery according to different grid data, thereby improving the intelligence and operational efficiency of the photovoltaic air conditioning system.

[0049] In other embodiments, adjusting the remaining power threshold based on grid data includes: Determine whether the power grid is in a period of low load based on the power grid load forecast data; specifically, determine whether the time period corresponding to the power grid load forecast data is a period of low load.

[0050] If the power grid is in a period of low load, increase the remaining power threshold; otherwise, keep the remaining power threshold unchanged.

[0051] When a period is identified as a low-load period for the power grid, it indicates that there is less electricity load, lower grid demand, stable grid voltage, and typically lower grid electricity prices. In this case, the remaining power threshold will be increased to fully utilize the stable and low-priced grid to charge the energy storage battery modules. This will allow the energy storage batteries to be used to power the air conditioner during peak load periods when the grid is unstable and electricity prices are higher, reducing reliance on high-priced grid power and thus lowering the energy cost of the photovoltaic air conditioning system.

[0052] Figure 2 The diagram shown is a schematic representation of an embodiment of the control device for the photovoltaic air conditioning system proposed in this invention. In this embodiment, the photovoltaic air conditioning system includes an air conditioner and an energy supply structure consisting of photovoltaic modules, energy storage battery modules, and a power grid. The air conditioner can be powered by one or more energy supply units among the photovoltaic modules, energy storage battery modules, and the power grid; the photovoltaic modules or the power grid can charge the energy storage battery modules.

[0053] like Figure 2 As shown, the control device of this embodiment includes structural units, the functions of the structural units, and the relationships between them, as detailed below: The control device includes: The air conditioning load prediction unit 21 is used to obtain air conditioning load prediction result data based on known air conditioning load data and established air conditioning load prediction models.

[0054] The photovoltaic power generation prediction unit 22 is used to obtain photovoltaic power generation prediction results data based on known photovoltaic data and established photovoltaic power generation prediction models.

[0055] The power grid load forecasting unit 23 is used to obtain power grid load forecasting results data based on power grid data and the established power grid load forecasting model.

[0056] The energy storage battery charging and discharging strategy determination unit 24 is used to determine the first energy storage battery charging and discharging strategy based on the air conditioning load prediction result data output by the air conditioning load prediction unit 21, the photovoltaic power generation prediction result data output by the photovoltaic power generation prediction unit 22, and the grid load prediction result data output by the grid load prediction unit 23; and to determine the second energy storage battery charging and discharging strategy based on the first energy storage battery charging and discharging strategy and the battery remaining power threshold adjustment strategy.

[0057] The energy storage battery module control unit 25 is used to control the charging and discharging process of the energy storage battery module according to the second energy storage battery charging and discharging strategy determined by the energy storage battery charging and discharging strategy determination unit 24.

[0058] The control device of the above structure runs the corresponding software program, performs the corresponding functions, and follows the instructions. Figure 1 The control method embodiment and other embodiments of the photovoltaic air conditioning system control process to achieve the same effect as... Figure 1 The corresponding technical effects of the embodiments and other embodiments.

[0059] The photovoltaic air conditioning system control device described in the above embodiments can be applied to a photovoltaic air conditioning system to improve the high-efficiency operation performance of the photovoltaic air conditioning system.

[0060] Other embodiments of the present invention also provide a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, it implements... Figure 1 The embodiments and other embodiments describe the control method of the photovoltaic air conditioning system and achieve the technical effects of the corresponding embodiments.

[0061] 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.

[0062] 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.

[0063] 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 control method for a photovoltaic air conditioning system, the photovoltaic air conditioning system comprising an air conditioner, photovoltaic modules, energy storage battery modules, and a power grid, characterized in that, The control method includes: Based on known air conditioning load data and established air conditioning load prediction models, obtain air conditioning load prediction results data; Based on known photovoltaic data and established photovoltaic power generation prediction models, obtain photovoltaic power generation prediction results data; Based on power grid data and established power grid load forecasting models, obtain power grid load forecasting results. Based on the air conditioning load forecast data, the photovoltaic power generation forecast data, and the power grid load forecast data, a first strategy for charging and discharging the energy storage battery is determined. Based on the first energy storage battery charging and discharging strategy and the battery remaining power threshold adjustment strategy, a second energy storage battery charging and discharging strategy is determined, and the charging and discharging process of the energy storage battery module is controlled according to the second energy storage battery charging and discharging strategy.

2. The control method for a photovoltaic air conditioning system according to claim 1, characterized in that, The battery remaining power threshold adjustment strategy includes: Multiple remaining power thresholds are preset, and the multiple remaining power thresholds constitute multiple remaining power intervals; a charging and discharging mode corresponding to each remaining power interval is also preset. Obtain the real-time remaining power of the energy storage battery and determine the remaining power range to which the real-time remaining power belongs; The charging and discharging mode corresponding to the remaining power range is determined based on the charging and discharging mode corresponding to the remaining power range, and is used as the real-time charging and discharging mode.

3. The control method for the photovoltaic air conditioning system according to claim 2, characterized in that, The remaining power threshold is a dynamically variable value that is adjusted based on the power grid data.

4. The control method for the photovoltaic air conditioning system according to claim 3, characterized in that, Adjusting the remaining power threshold based on the power grid data includes: Determine whether the power grid is in a period of low load based on the power grid load forecast data; If the power grid is in the period of low load, increase the remaining power threshold; Otherwise, keep the remaining power threshold unchanged.

5. The control method for a photovoltaic air conditioning system according to claim 2, characterized in that, The remaining power thresholds include a first threshold, a second threshold, and a third threshold that increase sequentially. The three remaining power thresholds constitute four remaining power intervals. The charging and discharging modes corresponding to each remaining power interval include: When the remaining charge of the energy storage battery is not greater than the first threshold, the corresponding charging mode is the first charging mode; in the first charging mode, the energy storage battery is charged at the first charging rate. When the remaining charge of the energy storage battery is greater than the first threshold and not greater than the second threshold, the corresponding charging mode is the second charging mode; in the second charging mode, the energy storage battery is charged at the second charging rate. When the remaining charge of the energy storage battery is greater than the second threshold and not greater than the third threshold, the corresponding charging mode is the third charging mode; in the third charging mode, the energy storage battery is charged at the third charging rate. When the remaining power of the energy storage battery is greater than the third threshold, the corresponding charging mode is the fourth charging mode; in the fourth charging mode, charging of the energy storage battery is stopped. Furthermore, the first charging rate > the second charging rate > the third charging rate.

6. The control method for the photovoltaic air conditioning system according to claim 5, characterized in that, The charging and discharging modes corresponding to each remaining power range also include: When the remaining charge of the energy storage battery is not greater than the first threshold, the corresponding discharge mode is the first discharge mode; in the first discharge mode, the discharge power of the energy storage battery is less than the first power limit. When the remaining charge of the energy storage battery is greater than the first threshold and not greater than the second threshold, the corresponding discharge mode is the second discharge mode; in the second discharge mode, the discharge power of the energy storage battery is less than the second power limit. When the remaining charge of the energy storage battery is greater than the second threshold and not greater than the third threshold, the corresponding discharge mode is the third discharge mode; in the third discharge mode, the discharge power of the energy storage battery is less than the third power limit. When the remaining charge of the energy storage battery is greater than the third threshold, the corresponding discharge mode is the fourth discharge mode; in the fourth discharge mode, the discharge power of the energy storage battery is less than the fourth power limit. Furthermore, the first power limit < the second power limit < the third power limit < the fourth power limit.

7. The control method for a photovoltaic air conditioning system according to any one of claims 1 to 6, characterized in that, Based on the air conditioning load forecast data, the photovoltaic power generation forecast data, and the power grid load forecast data, a first strategy for charging and discharging the energy storage battery is determined, specifically including: Using a dynamic programming algorithm, with the objectives of minimizing cost and maximizing photovoltaic utilization, a first strategy for charging and discharging the energy storage battery is determined based on the predicted air conditioning load, the predicted photovoltaic power generation, and the predicted grid load.

8. A control device for a photovoltaic air conditioning system, the photovoltaic air conditioning system comprising an air conditioner, photovoltaic modules, energy storage battery modules, and a power grid, characterized in that, The control device includes: The air conditioning load forecasting unit is used to obtain air conditioning load forecasting results based on known air conditioning load data and established air conditioning load forecasting models. The photovoltaic power generation prediction unit is used to obtain photovoltaic power generation prediction results data based on known photovoltaic data and established photovoltaic power generation prediction models; The power grid load forecasting unit is used to obtain power grid load forecasting results based on power grid data and established power grid load forecasting models. The energy storage battery charging and discharging strategy determination unit is used to determine a first energy storage battery charging and discharging strategy based on the air conditioning load forecast data, the photovoltaic power generation forecast data, and the grid load forecast data; and to determine a second energy storage battery charging and discharging strategy based on the first energy storage battery charging and discharging strategy and the battery remaining power threshold adjustment strategy. An energy storage battery module control unit is used to control the charging and discharging process of the energy storage battery module according to the second charging and discharging strategy of the energy storage battery.

9. A photovoltaic air conditioning system, comprising an air conditioner, photovoltaic modules, energy storage battery modules, and a power grid, characterized in that, It also includes the control device for the photovoltaic air conditioning system described in claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the control method of the photovoltaic air conditioning system according to any one of claims 1-7.

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