Photovoltaic air conditioning system, and control method and control apparatus therefor

Abstract

Disclosed in the present invention are a photovoltaic air conditioning system, and a control method and control apparatus therefor. The control method comprises: obtaining air conditioner load prediction result data on the basis of known air conditioner load data and an established air conditioner load prediction model; obtaining photovoltaic power generation prediction result data on the basis of known photovoltaic data and an established photovoltaic power generation prediction model; obtaining power grid load prediction result data on the basis of power grid data and an established power grid load prediction model; determining a first energy storage battery charging and discharging strategy on the basis of the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data; and determining a second energy storage battery charging and discharging strategy on the basis of the first energy storage battery charging and discharging strategy and a state-of-charge threshold adjustment strategy, and controlling the charging and discharging process of an energy storage battery assembly on the basis of the second energy storage battery charging and discharging strategy. The present invention can improve the efficient operation performance of a photovoltaic air conditioning system.

Description

Photovoltaic air conditioning system and control method and control device thereof TECHNICAL FIELD

[0001] The present application belongs to the technical field of energy-saving air conditioning, specifically relates to the technical field of photovoltaic air conditioning, and more specifically relates to a photovoltaic air conditioning system and a control method and a control device thereof. BACKGROUND

[0002] As an energy-saving air conditioning system, the photovoltaic air conditioning system has been widely used in many fields such as production and life with the increasing demand for energy saving and emission reduction and the continuous maturity of photovoltaic technology.

[0003] To meet the use demand of users for air conditioners and utilize solar energy as much as possible, the existing photovoltaic air conditioning system is usually provided with a photovoltaic assembly and an energy storage battery, and an air conditioner in the air conditioning system can select one or more power supply modes such as solar power supply, energy storage battery power supply and power grid power supply. When solar energy is sufficient, the photovoltaic assembly converts solar energy into electric energy, part of which is used to meet the power consumption of the load, and the excess electric energy is stored in the energy storage battery, so that no power supply from the power grid is needed; when solar energy is insufficient, the energy storage battery and / or the power grid can be selected to supply power to the air conditioner. Through the combination of the energy storage battery, the photovoltaic assembly and the power grid, the renewable green energy can be maximally utilized, the consumption of power grid electric energy is reduced, and the purpose of energy saving and emission reduction is achieved.

[0004] For the photovoltaic air conditioning system with multiple energy supply modes such as a photovoltaic assembly, an energy storage battery and a power grid, how to control the energy and especially how to control the power of the energy storage battery is related to the actual operation performance of the photovoltaic air conditioning system. Therefore, how to provide an energy control method capable of improving the efficient operation of the photovoltaic air conditioning system is an urgent problem to be solved. TECHNICAL PROBLEM

[0005] The present application aims to provide a photovoltaic air conditioning system and a control method and a control device thereof to improve the efficient operation performance of the photovoltaic air conditioning system. TECHNICAL SOLUTION

[0006] To achieve the above-mentioned application purpose, the control method of the photovoltaic air conditioning system provided by the present application adopts the following technical scheme:

[0007] A control method of a photovoltaic air conditioning system, the photovoltaic air conditioning system comprising an air conditioner, a photovoltaic assembly, an energy storage battery assembly and a power supply grid, the control method comprising:

[0008] obtaining air conditioner load prediction result data according to known air conditioner load data and an established air conditioner load prediction model;

[0009] According to known photovoltaic data and an established photovoltaic power generation prediction model, photovoltaic power generation prediction result data is obtained;

[0010] According to grid data and an established grid load prediction model, grid load prediction result data is obtained;

[0011] According to the air conditioner load prediction result data, the photovoltaic power generation prediction result data, and the grid load prediction result data, a first strategy for charging and discharging of the energy storage battery is determined;

[0012] According to the first strategy for charging and discharging of the energy storage battery and a battery residual capacity threshold adjustment strategy, a second strategy for charging and discharging of the energy storage battery is determined, and the charging and discharging process of the energy storage battery assembly is controlled according to the second strategy.

[0013] In some embodiments of the present application, the battery residual capacity threshold adjustment strategy comprises:

[0014] A plurality of residual capacity thresholds are preset, and the plurality of residual capacity thresholds constitute a plurality of residual capacity interval segments; and a charging and discharging mode corresponding to each residual capacity interval segment is also preset;

[0015] The real-time residual capacity of the energy storage battery is obtained, and a residual capacity interval segment to which the real-time residual capacity belongs is determined;

[0016] The charging and discharging mode corresponding to the residual capacity interval segment to which the real-time residual capacity belongs is determined as a real-time charging and discharging mode according to the charging and discharging mode corresponding to the residual capacity interval segment.

[0017] In some embodiments of the present application, the residual capacity threshold is a dynamically variable value adjusted according to the grid data.

[0018] In some embodiments of the present application, adjusting the residual capacity threshold according to the grid data comprises:

[0019] According to the grid load prediction result data, it is determined whether the grid is in a load valley period;

[0020] If the grid is in the load valley period, the residual capacity threshold is increased;

[0021] Otherwise, the residual capacity threshold remains unchanged.

[0022] In some embodiments of the present application, the residual capacity threshold comprises a first threshold, a second threshold, and a third threshold that increase in turn, and the three residual capacity thresholds constitute four residual capacity interval segments, and the charging and discharging mode corresponding to each residual capacity interval segment comprises:

[0023] when the remaining power of the energy storage battery is greater than the second threshold value and is not greater than the third threshold value, a corresponding charging mode is a third charging mode; in the third charging mode, the energy storage battery is charged at a third charging rate;

[0024] when the remaining power of the energy storage battery is greater than the second threshold value and is not greater than the third threshold value, a corresponding charging mode is a third charging mode; in the third charging mode, the energy storage battery is charged at a third charging rate;

[0025] when the remaining power of the energy storage battery is greater than the second threshold value and is not greater than the third threshold value, a corresponding charging mode is a third charging mode; in the third charging mode, the energy storage battery is charged at a third charging rate;

[0026] when the remaining power of the energy storage battery is greater than the third threshold value, a corresponding charging mode is a fourth charging mode; in the fourth charging mode, charging of the energy storage battery is stopped;

[0027] and the first charging rate > the second charging rate > the third charging rate.

[0028] In some embodiments of the present application, the corresponding charging and discharging mode of each remaining power interval section further comprises:

[0029] when the remaining power of the energy storage battery is not greater than the first threshold value, a corresponding discharging mode is a first discharging mode; in the first discharging mode, a discharging power of the energy storage battery is less than a first power limit value;

[0030] when the remaining power of the energy storage battery is greater than the first threshold value and is not greater than the second threshold value, a corresponding discharging mode is a second discharging mode; in the second discharging mode, a discharging power of the energy storage battery is less than a second power limit value;

[0031] when the remaining power of the energy storage battery is greater than the second threshold value and is not greater than the third threshold value, a corresponding discharging mode is a third discharging mode; in the third discharging mode, a discharging power of the energy storage battery is less than a third power limit value;

[0032] when the remaining power of the energy storage battery is greater than the third threshold value, a corresponding discharging mode is a fourth discharging mode; in the fourth discharging mode, a discharging power of the energy storage battery is less than a fourth power limit value;

[0033] and the first power limit value < the second power limit value < the third power limit value < the fourth power limit value.

[0034] In some embodiments of the present application, the first strategy for charging and discharging the energy storage battery is determined according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data, and specifically includes:

[0035] The first strategy for charging and discharging the energy storage battery is determined according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data by using a dynamic programming algorithm with the minimum cost and the maximum photovoltaic utilization rate as the target.

[0036] To achieve the above-mentioned purposes, the control device of the photovoltaic air conditioner system provided by the present application adopts the following technical solutions:

[0037] The control device of the photovoltaic air conditioner system includes:

[0038] The air conditioner load prediction unit is configured to obtain air conditioner load prediction result data according to known air conditioner load data and an established air conditioner load prediction model;

[0039] The photovoltaic power generation prediction unit is configured to obtain photovoltaic power generation prediction result data according to known photovoltaic data and an established photovoltaic power generation prediction model;

[0040] The power grid load prediction unit is configured to obtain power grid load prediction result data according to power grid data and an established power grid load prediction model;

[0041] The energy storage battery charging and discharging strategy determination unit is configured to determine a first strategy for charging and discharging the energy storage battery according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data, and determine a second strategy for charging and discharging the energy storage battery according to the first strategy for charging and discharging the energy storage battery and a battery residual capacity threshold adjustment strategy;

[0042] The energy storage battery assembly control unit is configured to control the charging and discharging process of the energy storage battery assembly according to the second strategy for charging and discharging the energy storage battery.

[0043] To achieve the above-mentioned purposes, the control device of the photovoltaic air conditioner system provided by the present application adopts the following technical solutions:

[0044] The control device of the photovoltaic air conditioner system includes:

[0045] The present application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the control method of the photovoltaic air conditioner system. Advantages

[0046] Compared with the prior art, the advantages and positive effects of the present application are:

[0047] The photovoltaic air conditioning system, the control method and the control device provided by the present application can predict the air conditioning load, the photovoltaic power generation and the grid load, determine the first charging and discharging strategy of the energy storage battery according to the air conditioning load prediction result data, the photovoltaic power generation prediction result data and the grid load prediction result data, adjust the first charging and discharging strategy of the energy storage battery according to the battery residual capacity threshold adjustment strategy to obtain the second charging and discharging strategy of the energy storage battery, and control the charging and discharging of the energy storage battery assembly according to the second charging and discharging strategy of the energy storage battery, so that various energies can be reasonably, effectively and efficiently utilized, the efficient energy control performance of the photovoltaic air conditioning system is realized, and the efficient operation performance of the photovoltaic air conditioning system is improved.

[0048] Other features and advantages of the present application will become more apparent after reading the specific embodiments of the present application in combination with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0050] Fig. 1 is a flowchart of one embodiment of the control method of the photovoltaic air conditioning system proposed by the present application;

[0051] Fig. 2 is a structural schematic diagram of one embodiment of the control device of the photovoltaic air conditioning system proposed by the present application. Best mode of the present application

[0052] The technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0053] It should be noted that the technical solutions of various embodiments of the present application can be combined with each other, but it must be based on the fact that a person skilled in the art can realize it. When the combination of technical solutions appears to be contradictory or unachievable, it should be considered that the combination of technical solutions does not exist and is not within the protection scope of the present application.

[0054] Fig. 1 shows a flow chart of an embodiment of the control method of the photovoltaic air conditioning system. In this embodiment, the photovoltaic air conditioning system comprises an air conditioner, and an energy supply structure comprising a photovoltaic module, an energy storage battery module and a power supply grid, the air conditioner being powered by one or more of the energy supply units of the photovoltaic module, the energy storage battery module and the power supply grid; the photovoltaic module or the power supply grid can charge the energy storage battery module.

[0055] As shown in Fig. 1, the embodiment uses the following process to control the photovoltaic air conditioning system, specifically, the following process is used to control the charging and discharging of the energy storage battery module.

[0056] S11, obtaining air conditioner load prediction result data, photovoltaic power generation prediction result data and power grid load prediction result data.

[0057] Specifically, the air conditioner load prediction result data is obtained according to known air conditioner load data and an established air conditioner load prediction model; the photovoltaic power generation prediction result data is obtained according to known photovoltaic data and an established photovoltaic power generation prediction model; and the power grid load prediction result data is obtained according to power grid data and an established power grid load prediction model. The methods and processes for obtaining each result data can be implemented using existing technologies.

[0058] In some embodiments, the known air conditioner load data is historical air conditioner load data, specifically, the load data in the past period of time, including the actual value of the load and the corresponding timestamp. The air conditioner load prediction model is a time series analysis method model, which can identify the periodicity, trend and seasonality of the air conditioner load by analyzing the known air conditioner load data, and further predict the air conditioner load prediction result data in the future period of time according to the actually obtained historical air conditioner load data, the result data reflecting the air conditioner load change trend, air conditioner load peak and valley situation, etc. in the future period of time.

[0059] In some embodiments, considering that the light intensity of sunlight, the environmental temperature and the parameters of the photovoltaic module will all affect the photovoltaic power generation efficiency of the photovoltaic module, the photovoltaic data includes light intensity data, temperature data, historical photovoltaic power generation data, etc., the historical photovoltaic power generation data can contain the influence of the parameters of the photovoltaic module on the power generation efficiency, and the photovoltaic power generation prediction model can predict the photovoltaic power generation amount in the future period of time according to the current light intensity data, the current temperature data and the historical photovoltaic power generation data.

[0060] In some embodiments, the grid data includes historical grid load data, and can also include historical electricity price data, historical seasonal data, etc. corresponding to the historical grid load data. The grid load prediction model can predict the grid load in a future period of time according to the known grid data, and further predict the grid peak period and the grid valley period in the future period of time. The grid load is usually closely related to the electricity price, and the grid electricity price in the future period of time can also be predicted through the predicted grid load result.

[0061] S12, determining a first energy storage battery charging and discharging strategy according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the grid load prediction result data.

[0062] The first energy storage battery charging and discharging strategy determines whether the energy storage battery needs to be controlled to charge or discharge. The specific method and process of determining the first energy storage battery charging and discharging strategy can be realized by using the existing technology.

[0063] In some embodiments, determining the first energy storage battery charging and discharging strategy specifically includes:

[0064] Using a dynamic programming algorithm, the first energy storage battery charging and discharging strategy is determined according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the grid load prediction result data, with the minimum cost and the maximum photovoltaic utilization rate as the target.

[0065] S13, determining a second energy storage battery charging and discharging strategy according to the first energy storage battery charging and discharging strategy and the battery residual capacity threshold adjustment strategy, and controlling the charging and discharging process of the energy storage battery assembly.

[0066] The first energy storage battery charging and discharging strategy determines whether the energy storage battery assembly needs to be controlled to charge or discharge in a future period of time. Then, the second energy storage battery charging and discharging strategy is obtained by using the battery residual capacity threshold adjustment strategy in combination with the first energy storage battery charging and discharging strategy, to determine the specific charging and discharging mode and control the charging and discharging process of the energy storage battery assembly.

[0067] In the above embodiments, the air conditioner load, the photovoltaic power generation and the grid load are predicted, the first energy storage battery charging and discharging strategy is determined according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the grid load prediction result data, the first energy storage battery charging and discharging strategy is adjusted according to the battery residual capacity threshold adjustment strategy to obtain the second energy storage battery charging and discharging strategy, and the energy storage battery assembly is controlled to charge and discharge according to the second energy storage battery charging and discharging strategy. Various energies can be reasonably, effectively and efficiently utilized, the energy management performance of the photovoltaic air conditioner system can be realized efficiently, and the efficient operation performance of the photovoltaic air conditioner system can be improved.

[0068] In some embodiments, the battery residual capacity threshold adjustment strategy includes:

[0069] A plurality of residual capacity thresholds are preset, and the plurality of residual capacity thresholds constitute a plurality of residual capacity interval segments; and a charging and discharging mode corresponding to each residual capacity interval segment is also preset.

[0070] The real-time residual capacity of the energy storage battery is acquired, and a residual capacity interval segment to which the real-time residual capacity belongs is determined.

[0071] The charging and discharging mode corresponding to the residual capacity interval segment to which the real-time residual capacity belongs is determined as the real-time charging and discharging mode according to the charging and discharging mode corresponding to the residual capacity interval segment.

[0072] The battery residual capacity threshold adjustment strategy is constituted by forming a plurality of residual capacity interval segments by using a plurality of residual capacity thresholds and corresponding a charging and discharging mode to each residual capacity interval segment, so that the energy storage battery assembly can be precisely controlled, and the safety of the energy storage battery assembly and the stability of the entire photovoltaic air conditioning system can be improved.

[0073] In some other embodiments, the residual capacity thresholds include a first threshold A, a second threshold B and a third threshold C that increase in turn, and the three residual capacity thresholds constitute four residual capacity interval segments, namely, an interval segment not greater than A, an interval segment greater than A and less than B, an interval segment greater than B and less than C, and an interval segment greater than C. The charging and discharging mode corresponding to each residual capacity interval segment includes a charging mode and a discharging mode.

[0074] The charging mode specifically includes:

[0075] When the residual capacity of the energy storage battery is not greater than the first threshold A, the corresponding charging mode is a first charging mode; and 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, so that the energy storage battery assembly with insufficient residual capacity can be quickly charged by using sufficient solar energy or low-price grid power, and the insufficient capacity of the energy storage battery can be compensated to ensure that the load demand is met when the energy storage battery is powered.

[0076] When the residual capacity 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 a second charging mode; and 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, and the second charging rate is a rate value balancing the safety performance and the quick charging performance of the energy storage battery, so that the energy storage battery can be quickly charged on the basis of ensuring high safety.

[0077] When the remaining power of the energy storage battery is greater than the second threshold B and is not greater than the third threshold C, the corresponding charging mode is a third charging mode; in the third charging mode, the energy storage battery is charged at a third charging rate. The third charging rate is less than the second charging rate, and in the third charging mode, the energy storage battery has more remaining power, the safety performance of the energy storage battery is mainly considered, the battery charging rate is limited, and the battery can be charged only to a degree that meets the basic power supply demand, so as to avoid overcharging of the battery.

[0078] When the remaining power of the energy storage battery is greater than the third threshold C, the corresponding charging mode is a fourth charging mode. In the fourth charging mode, the charging of the energy storage battery is stopped to avoid overcharging of the battery and affecting the safety.

[0079] The discharging mode specifically includes:

[0080] When the remaining power of the energy storage battery is not greater than the first threshold A, the corresponding discharging mode is a first discharging mode; in the first discharging mode, the discharging power of the energy storage battery is less than a first power limit. The first power limit is a smaller power value, the first discharging mode is a protection mode, and when the remaining power is less, the discharging power of the energy storage battery is limited to prevent over-discharge of the energy storage battery components and damage or reduce the stability of the system.

[0081] When the remaining power of the energy storage battery is greater than the first threshold A and is not greater than the second threshold B, the corresponding discharging mode is a second discharging mode; in the second discharging mode, the discharging 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 safety performance load demand of the energy storage battery, and in the second discharging mode, the energy storage battery is ensured not to over-discharge on the basis of ensuring that the energy storage battery provides power to the load as much as possible.

[0082] When the remaining power of the energy storage battery is greater than the second threshold B and is not greater than the third threshold C, the corresponding discharging mode is a third discharging mode; in the third discharging mode, the discharging power of the energy storage battery is less than a third power limit. The third power limit is greater than the second power limit, and in the third discharging mode, the energy storage battery provides power to the load as much as possible to meet the energy demand of the load as much as possible.

[0083] When the remaining power of the energy storage battery is greater than the third threshold C, the corresponding discharging mode is a fourth discharging mode; in the fourth discharging mode, the discharging power of the energy storage battery is less than a fourth power limit. The fourth power limit is greater than the third power limit, and the fourth power limit is a power value determined according to the actual load demand. In the fourth discharging mode, the energy storage battery is controlled to discharge at a high power to meet the energy demand of the load.

[0084] In some embodiments, the preset remaining power threshold in the battery remaining power threshold adjustment strategy is not a fixed value, but a dynamic variable value adjusted according to the grid data. By setting the remaining power threshold as a dynamic variable value adjusted according to the grid data, the charging and discharging strategy of the energy storage battery can be adaptively adjusted according to different grid data, thereby improving the intelligence and operation efficiency of the photovoltaic air conditioning system.

[0085] In other embodiments, adjusting the remaining power threshold according to the grid data includes:

[0086] According to the grid load prediction result data, it is determined whether the grid is in a load valley period. Specifically, it is determined whether the time period corresponding to the grid load prediction result data is a load valley period.

[0087] If the grid is in a load valley period, the remaining power threshold is increased; otherwise, the remaining power threshold remains unchanged.

[0088] When it is determined that the grid is in a load valley period, it indicates that the power load is small and the grid demand is low in this period, the grid voltage is stable, and the grid price is also low. At this time, the remaining power threshold is increased to fully utilize the stable and low-price grid to charge the energy storage battery component, so as to use the energy storage battery to supply power to the air conditioner during the grid load peak period when the grid is unstable and the price is high, reduce the use of high-price grid power supply, and thereby reduce the energy cost of the photovoltaic air conditioning system.

[0089] FIG. 2 shows a structural schematic diagram of an embodiment of the control device of the photovoltaic air conditioning system. In this embodiment, the photovoltaic air conditioning system includes an air conditioner, and further includes an energy supply structure composed of a photovoltaic component, an energy storage battery component, and a power supply grid. The air conditioner can be powered by one or more energy supply units of the photovoltaic component, the energy storage battery component, and the power supply grid. The photovoltaic component or the power supply grid can charge the energy storage battery component.

[0090] As shown in FIG. 2, the control device of this embodiment includes structural units, functions of the structural units, and relationships between them, which are as follows:

[0091] The control device includes:

[0092] The air conditioner load prediction unit 21 is configured to obtain air conditioner load prediction result data according to known air conditioner load data and an established air conditioner load prediction model.

[0093] The photovoltaic power generation prediction unit 22 is configured to obtain photovoltaic power generation prediction result data according to known photovoltaic data and an established photovoltaic power generation prediction model.

[0094] The power grid load prediction unit 23 is configured to obtain power grid load prediction result data according to power grid data and an established power grid load prediction model.

[0095] The energy storage battery charging and discharging strategy determination unit 24 is configured to determine an energy storage battery charging and discharging first strategy according to the air conditioner load prediction result data output by the air conditioner load prediction unit 21, the photovoltaic power generation prediction result data output by the photovoltaic power generation prediction unit 22, and the power grid load prediction result data output by the power grid load prediction unit 23, and determine an energy storage battery charging and discharging second strategy according to the energy storage battery charging and discharging first strategy and the battery residual capacity threshold adjustment strategy.

[0096] The energy storage battery assembly control unit 25 is configured to control the charging and discharging process of the energy storage battery assembly according to the energy storage battery charging and discharging second strategy determined by the energy storage battery charging and discharging strategy determination unit 24.

[0097] The control device with the above structure runs corresponding software programs to perform corresponding functions, and controls according to the process of the control method of the photovoltaic air conditioner system in the embodiment of FIG. 1 and other embodiments, so as to achieve the corresponding technical effects of the embodiment of FIG. 1 and other embodiments.

[0098] The photovoltaic air conditioner system control device in the above embodiment is applied to a photovoltaic air conditioner system, and can improve the efficient operation performance of the photovoltaic air conditioner system.

[0099] Other embodiments of the present application also provide a computer storage medium, and the computer storage medium stores a computer program. When the computer program is executed by a processor, the control method of the photovoltaic air conditioner system in the embodiment of FIG. 1 and other embodiments is implemented, and the technical effects of the corresponding embodiments are achieved.

[0100] The computer storage medium described above can be realized by any type of volatile or non-volatile storage devices 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 medium can be any available storage medium that can be accessed by a general-purpose or special-purpose computer.

[0101] In some embodiments, the computer storage medium is coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in the device.

[0102] The above examples are only used to illustrate the technical solutions of the present application, but not to limit the present application; although the present application has been described in detail with reference to the foregoing examples, the technical solutions recorded in the foregoing examples can still be modified, or some of the technical features can be replaced by equivalent features, by those skilled in the art; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions claimed by the present application.

Claims

1. A control method of a photovoltaic air conditioning system, the photovoltaic air conditioning system comprising an air conditioner, a photovoltaic assembly, an energy storage battery assembly and a power supply grid, characterized in that, The control method comprises: According to the known air conditioning load data and the established air conditioning load prediction model, the air conditioning load prediction result data is obtained; According to the known photovoltaic data and the established photovoltaic power generation prediction model, the photovoltaic power generation prediction result data is obtained; According to the grid data and the established grid load prediction model, the grid load prediction result data is obtained; According to the air conditioning load prediction result data, the photovoltaic power generation prediction result data and the grid load prediction result data, the first strategy of charging and discharging of the energy storage battery is determined; According to the first strategy of charging and discharging of the energy storage battery and the battery residual capacity threshold adjustment strategy, the second strategy of charging and discharging of the energy storage battery is determined, and the charging and discharging process of the energy storage battery assembly is controlled according to the second strategy of charging and discharging of the energy storage battery.

2. The control method of the photovoltaic air conditioning system according to claim 1, wherein The battery residual capacity threshold adjustment strategy comprises: A plurality of residual capacity thresholds are preset, and the plurality of residual capacity thresholds constitute a plurality of residual capacity interval segments; and a charging and discharging mode corresponding to each residual capacity interval segment is also preset; The real-time residual capacity of the energy storage battery is obtained, and the residual capacity interval segment to which the real-time residual capacity belongs is determined; The charging and discharging mode corresponding to the residual capacity interval segment to which the real-time residual capacity belongs is determined as the real-time charging and discharging mode according to the charging and discharging mode corresponding to the residual capacity interval segment.

3. The control method of the photovoltaic air conditioning system according to claim 2, wherein The residual capacity threshold is a dynamically variable value adjusted according to the grid data.

4. The control method of the photovoltaic air conditioning system according to claim 3, wherein Adjusting the residual capacity threshold according to the grid data comprises: According to the grid load prediction result data, it is judged whether the grid is in a load valley period; If the grid is in the load valley period, the residual capacity threshold is increased; Otherwise, the residual capacity threshold remains unchanged.

5. The control method of the photovoltaic air conditioning system according to claim 2, wherein, The residual capacity threshold comprises a first threshold, a second threshold and a third threshold which are sequentially increased, and the three residual capacity thresholds constitute four residual capacity interval segments, and the charging and discharging mode corresponding to each residual capacity interval segment comprises: When the residual capacity of the energy storage battery is not greater than the first threshold, the corresponding charging mode is a first charging mode; in the first charging mode, the energy storage battery is charged at a first charging rate; When the residual capacity of the energy storage battery is greater than the first threshold and not greater than the second threshold, the corresponding charging mode is a second charging mode; in the second charging mode, the energy storage battery is charged at a second charging rate; When the residual capacity of the energy storage battery is greater than the second threshold and not greater than the third threshold, the corresponding charging mode is a third charging mode; in the third charging mode, the energy storage battery is charged at a third charging rate; When the residual capacity of the energy storage battery is greater than the third threshold, the corresponding charging mode is a fourth charging mode; in the fourth charging mode, the charging of the energy storage battery is stopped; And the first charging rate > the second charging rate > the third charging rate.

6. The control method of the photovoltaic air conditioning system according to claim 5, wherein, The charging and discharging mode corresponding to each residual capacity interval segment further comprises: When the remaining power of the energy storage battery is not greater than the first threshold value, the corresponding discharging mode is a first discharging mode; in the first discharging mode, the discharging power of the energy storage battery is less than a first power limit value; When the remaining power of the energy storage battery is greater than the first threshold value and not greater than the second threshold value, the corresponding discharging mode is a second discharging mode; in the second discharging mode, the discharging power of the energy storage battery is less than a second power limit value; When the remaining power of the energy storage battery is greater than the second threshold value and not greater than the third threshold value, the corresponding discharging mode is a third discharging mode; in the third discharging mode, the discharging power of the energy storage battery is less than a third power limit value; When the remaining power of the energy storage battery is greater than the third threshold value, the corresponding discharging mode is a fourth discharging mode; in the fourth discharging mode, the discharging power of the energy storage battery is less than a fourth power limit value; And the first power limit value < the second power limit value < the third power limit value < the fourth power limit value.

7. The control method of the photovoltaic air conditioning system according to any one of claims 1 to 6, characterized in that, 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, specifically including: Using a dynamic programming algorithm, taking the minimum cost and the maximum photovoltaic utilization rate as the target, the first energy storage battery charging and discharging strategy is determined according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data.

8. A control device of a photovoltaic air conditioning system, the photovoltaic air conditioning system comprising an air conditioner, a photovoltaic assembly, an energy storage battery assembly and a power supply grid, characterized in that, The control device includes: An air conditioner load prediction unit is configured to obtain air conditioner load prediction result data according to known air conditioner load data and an established air conditioner load prediction model; A photovoltaic power generation prediction unit is configured to obtain photovoltaic power generation prediction result data according to known photovoltaic data and an established photovoltaic power generation prediction model; A power grid load prediction unit is configured to obtain power grid load prediction result data according to power grid data and an established power grid load prediction model; An energy storage battery charging and discharging strategy determination unit is configured to determine a first energy storage battery charging and discharging strategy according to the air conditioner load prediction result data, the photovoltaic power generation prediction result data and the power grid load prediction result data, and determine a second energy storage battery charging and discharging strategy according to the first energy storage battery charging and discharging strategy and a battery remaining power threshold value adjustment strategy; An energy storage battery assembly control unit is configured to control the charging and discharging process of the energy storage battery assembly according to the second energy storage battery charging and discharging strategy.

9. A photovoltaic air conditioning system comprising an air conditioner, a photovoltaic assembly, an energy storage battery assembly and a power supply grid, characterized in that, The control device of the photovoltaic air conditioner system of claim 8 is also included.

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

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