Control method for fluorine pump air conditioning system of energy storage cabin

Abstract

The invention relates to the technical field of energy storage power stations, in particular to a control method of an energy storage cabin fluorine pump air conditioning system, which comprises the following steps: predicting the working time of an energy storage cabin in a preset period; predicting the temperature of the energy storage cabin in a preset period according to the predicted working time of the energy storage cabin; the heat dissipation capacity corresponding to different working modes of the fluorine pump air conditioning system is obtained; and according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air-conditioning system and a preset ideal temperature value, the working mode of the fluorine pump air-conditioning system is controlled. By predicting the working time and temperature of the energy storage cabin and the heat dissipation capacity of the fluorine pump air conditioning system, the working mode of the fluorine pump air conditioning system can be more accurately controlled, and unnecessary energy consumption is avoided. The performance and the service life of the energy storage battery can be guaranteed by maintaining the temperature of the energy storage cabin within an ideal range.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power stations, and in particular to a control method for a fluorine pump air conditioning system in an energy storage cabin. Background Art

[0002] With the widespread application of renewable energy and the development of smart grids, energy storage power stations are becoming increasingly important as key facilities for balancing grid supply and demand and optimizing energy allocation. The core component of energy storage power stations, energy storage batteries, are usually placed in specific energy storage cabins to ensure their safe and efficient operation. However, energy storage batteries generate a lot of heat during operation. If the heat is not dissipated in time, it will not only affect the performance and life of the battery, but may also cause safety hazards. Therefore, it is particularly important to equip the energy storage cabin with an efficient and energy-saving air-conditioning system.

[0003] As an advanced refrigeration technology, the fluorine pump air conditioning system has gradually emerged in the heat dissipation solution of the energy storage cabin due to its high efficiency and environmental protection. However, it is not easy to control the fluorine pump air conditioning system of the energy storage cabin. Since energy storage power stations are usually located outdoors, the ambient temperature is variable, and the heat generation in the energy storage cabin also changes with the battery charging and discharging status. Therefore, how to intelligently adjust the operation mode of the fluorine pump air conditioning system according to environmental conditions, the temperature in the energy storage cabin, and the working status of the energy storage battery has become an urgent problem to be solved. Summary of the invention

[0004] (I) Purpose of the invention

[0005] The object of the present invention is to provide a control method for a fluorine pump air-conditioning system of an energy storage cabin which can intelligently adjust the operating mode of the fluorine pump air-conditioning system.

[0006] (II) Technical solution

[0007] In order to solve the above problems, the present invention provides a control method for a fluorine pump air conditioning system of an energy storage cabin, comprising:

[0008] Predict the working time of the energy storage cabin within a predetermined period;

[0009] Predicting the temperature of the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment;

[0010] Obtain the heat dissipation capacity corresponding to different working modes of the fluorine pump air conditioning system;

[0011] The working mode of the fluorine pump air conditioning system is controlled according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air conditioning system and the preset ideal temperature value.

[0012] In another aspect of the present invention, preferably, the predicting the working time of the energy storage compartment within a predetermined period includes:

[0013] Dividing the predetermined period into a plurality of time steps;

[0014] Forecast the power generation, power demand and remaining power of the energy storage cabin within each time step;

[0015] When the power generation in the time step is greater than the predicted power demand, if the current remaining power of the energy storage cabin is less than the full power of the energy storage cabin, the energy storage cabin will be charged, and the working time is the time step; if the current remaining power of the energy storage cabin is equal to the full power of the energy storage cabin, the energy storage cabin will not work, and the working time is 0;

[0016] When the power generation in the time step is equal to the predicted power demand, the energy storage cabin does not work and the working time is 0;

[0017] When the power generation within the time step is less than the predicted power demand, if the remaining power of the energy storage cabin is greater than zero, the energy storage cabin discharges and the working time is the time step; if the remaining power of the energy storage cabin is zero, the energy storage cabin does not work and the working time is 0.

[0018] In another aspect of the present invention, preferably, the power generation is predicted using the following formula:

[0019] E(i)=E 1-i +E 2-i

[0020] E 1-i =η·A·G i ·Δt i

[0021] E 2-i =P(v ti )·Δt i

[0022]

[0023] Where E(i) represents the total power generation at the i-th time step in the predicted predetermined period, and E 1-i represents the photovoltaic power generation at the i-th time step in the predetermined period, E 2-i represents the wind power generation at the i-th time step within the predetermined period, η is the conversion efficiency of the solar panel, A is the area of ​​the solar panel, G i represents the solar radiation intensity at the i-th time step within a predetermined period, Δt i represents the i-th time step in the predetermined period, v ti represents the average wind speed of the i-th time step in the predetermined period, P(v ti ) represents the power output of the wind turbine at the i-th time step in the predetermined period, v in Indicates the minimum wind speed, v ratedIndicates rated wind speed, v out represents the maximum wind speed, a and b represent the performance parameters of the wind turbine generator, P rated Indicates the rated power of the wind turbine.

[0024] In another aspect of the present invention, preferably, the electricity demand is predicted using the following formula:

[0025]

[0026] Where D(i) represents the electricity demand at the i-th time step in the predicted period, and D hist (ij) represents the historical electricity demand at the past ij time point, N represents the number of historical electricity demand data points, and the historical electricity demand at the past ij time point is the electricity demand of the time step corresponding to the i-th time step in the predetermined period in the j-th historical time period; ω j Represents historical data point D hist (ij) and λ is a decay factor between 0 and 1.

[0027] In another aspect of the present invention, preferably, the remaining power of the energy storage compartment is predicted using the following formula:

[0028]

[0029] Among them, E final (i) represents the remaining power of the energy storage compartment at the i-th time step in the predicted predetermined period, E initial It represents the remaining power of the energy storage compartment in the previous cycle of the scheduled cycle, E(r) represents the total power generation in the rth time step of the predicted scheduled cycle, and D(r) represents the power demand in the rth time step of the predicted scheduled cycle.

[0030] In another aspect of the present invention, preferably, predicting the temperature of the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment comprises:

[0031] Predicting the amount of heat generated by the energy storage compartment within a predetermined period based on the predicted working time of the energy storage compartment;

[0032] Predicting the temperature of the energy storage compartment within a predetermined period based on the heat generated by the energy storage compartment within the predetermined period;

[0033] The step of predicting the heat generated by the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment comprises:

[0034] According to the predicted working time of the energy storage cabin, the corresponding working state of the energy storage cabin is obtained: when the working time is the time step, the working state is working; when the working time is 0, the working state is not working;

[0035] According to the corresponding working status of the energy storage compartment, the heat generated by the energy storage compartment is calculated.

[0036] In another aspect of the present invention, preferably, when the working state is working, the heat generated by the energy storage compartment is calculated according to the following formula:

[0037]

[0038] Among them, Q 热-i represents the heat generated by the energy storage compartment at the i-th time step in the predicted predetermined period, H represents the total battery capacity of the energy storage compartment, and T 绝 represents absolute temperature, Δt i represents the i-th time step in the predetermined period, U represents the battery voltage of the energy storage compartment, and E final(i-1) represents the remaining power of the energy storage compartment at the i-1th time step within the predicted predetermined period, I represents the battery current of the energy storage compartment, and R represents the battery resistance of the energy storage compartment;

[0039] When the working state is not working, the heat generated by the energy storage cabin is 0.

[0040] In another aspect of the present invention, preferably, the predicting the temperature of the energy storage compartment within a predetermined period according to the heat generated by the energy storage compartment within the predetermined period comprises:

[0041]

[0042] Among them, W 储-i represents the predicted temperature of the energy storage compartment at the i-th time step within the predetermined period, Q 热-i represents the heat generated by the energy storage compartment at the i-th time step in the predicted predetermined period, k is the convective heat transfer coefficient, A 传 is the heat transfer area, W 理想 Indicates the preset ideal temperature value, W 环 represents the ambient temperature, c represents the specific heat capacity of the battery in the energy storage cabin, and Z represents the mass of the battery in the energy storage cabin.

[0043] In another aspect of the present invention, preferably,

[0044] The working modes of the fluorine pump air conditioning system include compressor mode, fluorine pump mode and mixed mode;

[0045] Obtain the heat dissipation capacity corresponding to different working modes of the fluorine pump air conditioning system through experiments or simulations.

[0046] In another aspect of the present invention, preferably,

[0047] The control of the working mode of the fluorine pump air conditioning system according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air conditioning system and the preset ideal temperature value includes:

[0048] When the predicted energy storage compartment temperature or the ambient temperature is greater than or equal to a first preset multiple of a preset ideal temperature value, the fluorine pump air conditioning system works in a compressor mode;

[0049] When the predicted energy storage compartment temperature and the ambient temperature are less than a first preset multiple of the preset ideal temperature value, and greater than or equal to a second preset multiple of the preset ideal temperature value, the fluorine pump air conditioning system operates in a mixed mode;

[0050] The working mode of the fluorine pump air conditioning system described in other conditions is the fluorine pump mode;

[0051] The first preset multiple is greater than the second preset multiple.

[0052] (III) Beneficial effects

[0053] The above technical solution of the present invention has the following beneficial technical effects:

[0054] By predicting the working time and temperature of the energy storage cabin and the heat dissipation capacity of the fluorine pump air conditioning system, the present invention can more accurately control the working mode of the fluorine pump air conditioning system and avoid unnecessary energy consumption. In particular, when the ambient temperature is low, the fluorine pump mode can be used more for cooling, thereby significantly reducing energy consumption. By maintaining the temperature of the energy storage cabin within the ideal range, the performance and life of the energy storage battery can be guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is an overall flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0057] Obviously, the described embodiments are only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0059] Embodiment 1

[0060] A control method for a fluorine pump air conditioning system in an energy storage cabin, Figure 1 FIG. 1 shows an overall flow chart of an embodiment of the present invention, as shown in FIG. Figure 1 As shown, including:

[0061] The control method of this embodiment is based on the power generation system, the energy storage cabin and the AC system. The power generation system is connected to the energy storage cabin and the AC system respectively, and the energy storage cabin is connected to the AC system. The power generation system includes photovoltaic power generation and wind power generation. When the power generation is greater than the power consumption of the AC system, the power generation is stored in the energy storage cabin. When the power generation is less than the power consumption of the AC system, the energy storage cabin supplies power to the AC system.

[0062] Predicting the working time of the energy storage cabin within a predetermined period; in this embodiment, the working time of the energy storage cabin is first predicted. The batteries in the energy storage cabin will generate heat when working, causing the temperature of the energy storage cabin to increase. The specific content of the predetermined period is not limited here, and it can be one year, one month or one day, etc.; in this embodiment, it is set that the batteries in the energy storage cabin generate heat when working, and do not generate heat when not working.

[0063] In this embodiment, predicting the working time of the energy storage compartment within a predetermined period includes:

[0064] Divide the predetermined period into several time steps; subdivide the predetermined period (such as one day, one week or one month) into several time steps. The selection of the time step should be weighed according to the actual needs, which should be short enough to capture the rapid changes in the working state of the energy storage compartment, and long enough to reduce the amount of calculation and improve the prediction efficiency. The time step can be an hour, half an hour or shorter period.

[0065] The power generation, power demand and remaining power of the energy storage cabin can be predicted for each time step; in each time step, the system needs to predict the power generation, power demand and remaining power of the energy storage cabin. Power generation prediction can be based on renewable energy, solar energy and wind energy, combined with weather forecasts and performance parameters of power generation equipment to predict the power generation in each time step; power demand prediction can predict the power demand in each time step based on historical data of power load. The remaining power prediction of the energy storage cabin can calculate the remaining power of the energy storage cabin at the end of each time step based on the current power of the energy storage cabin, the predicted power generation and power demand.

[0066] When the power generation in the time step is greater than the predicted power demand, if the current remaining power of the energy storage cabin is less than the full power of the energy storage cabin, the energy storage cabin will be charged, and the working time is the time step; if the current remaining power of the energy storage cabin is equal to the full power of the energy storage cabin, the energy storage cabin will not work, and the working time is 0;

[0067] When the power generation in the time step is equal to the predicted power demand, the energy storage cabin does not work and the working time is 0;

[0068] When the power generation within the time step is less than the predicted power demand, if the remaining power of the energy storage cabin is greater than zero, the energy storage cabin discharges, and the working time is the time step; if the remaining power of the energy storage cabin is equal to zero, the energy storage cabin does not work, and the working time is 0. If the current remaining power of the energy storage cabin is equal to the full power of the energy storage cabin, the energy storage cabin does not work to avoid overcharging. The non-working state includes when the power generation is equal to the predicted power demand, the energy storage cabin is neither charged nor discharged, and is in a non-working state. The discharging state includes when the power generation is less than the predicted power demand, if the remaining power of the energy storage cabin is greater than zero, the energy storage cabin discharges to meet the power demand, and the working time is equal to the time step. If the remaining power of the energy storage cabin is equal to zero, the energy storage cabin does not work to avoid over-discharge.

[0069] The temperature of the energy storage compartment within a predetermined period is predicted according to the predicted working time of the energy storage compartment. The specific content of predicting the temperature of the energy storage compartment within a predetermined period is not limited herein. In this embodiment, the temperature of the energy storage compartment within a predetermined period is predicted according to the predicted working time of the energy storage compartment, including:

[0070] Predicting the amount of heat generated by the energy storage compartment within a predetermined period based on the predicted working time of the energy storage compartment;

[0071] Predicting the temperature of the energy storage compartment within a predetermined period based on the heat generated by the energy storage compartment within the predetermined period;

[0072] The step of predicting the heat generated by the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment comprises:

[0073] According to the predicted working time of the energy storage cabin, the corresponding working state of the energy storage cabin is obtained: when the working time is the time step, the working state is working; when the working time is 0, the working state is not working;

[0074] According to the corresponding working status of the energy storage compartment, the heat generated by the energy storage compartment is calculated.

[0075] Obtain the heat dissipation capacity corresponding to different working modes of the fluorine pump air conditioning system; the working modes of the fluorine pump air conditioning system include compressor mode, fluorine pump mode and mixed mode; the fluorine pump air conditioning system usually has multiple working modes, including compressor mode, fluorine pump mode and mixed mode. The heat dissipation capacity of each mode is different, depending on the specific configuration and operating conditions of the system. In this step, the system will obtain the heat dissipation capacity of each mode under specific conditions by query or calculation. In this embodiment, it is obtained through experiments or simulations.

[0076] The working mode of the fluorine pump air conditioning system is controlled according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air conditioning system and the preset ideal temperature value.

[0077] Furthermore, in this embodiment, the power generation is predicted using the following formula:

[0078] E(i)=E 1-i +E 2-i

[0079] E 1-i =η·A·G i ·Δt i

[0080] E 2-i =P(v ti )·Δt i

[0081]

[0082] Where E(i) represents the total power generation at the i-th time step in the predicted predetermined period, and E 1-i represents the photovoltaic power generation at the i-th time step in the predetermined period, E 2-i represents the wind power generation at the i-th time step within the predetermined period, η is the conversion efficiency of the solar panel, A is the area of ​​the solar panel, G i represents the solar radiation intensity at the i-th time step within a predetermined period, Δt i represents the i-th time step in the predetermined period, v ti represents the average wind speed of the i-th time step in the predetermined period, P(v ti ) represents the power output of the wind turbine at the i-th time step in the predetermined period, v in Indicates the minimum wind speed, v rated Indicates rated wind speed, v out represents the maximum wind speed, a and b represent the performance parameters of the wind turbine generator, P rated Indicates the rated power of the wind turbine. Photovoltaic power generation E 1-i The conversion efficiency η of the solar panel, the area A and the solar radiation intensity G i The conversion efficiency η reflects the ability of the solar panel to convert sunlight into electrical energy, the area A determines the total amount of sunlight that the solar panel can receive, and the solar radiation intensity G i It represents the intensity of sunlight hitting the solar panel in each time step. ti represents the average wind speed of the i-th time step in the predetermined period, P(v ti ) represents the power output of the wind turbine at the i-th time step in the predetermined period, v in Indicates the minimum wind speed, v rated Indicates rated wind speed, v out represents the maximum wind speed, a and b represent the performance parameters of the wind turbine generator, Prated Indicates the rated power of the wind turbine. When the wind speed is lower than the minimum wind speed or higher than the maximum wind speed, the wind turbine may not work properly or the output power may be low; at the rated wind speed, the wind turbine will output its rated power P rated .

[0083] The electricity demand is predicted using the following formula:

[0084]

[0085] Where D(i) represents the electricity demand at the i-th time step in the predicted period, and D hist (ij) represents the historical electricity demand at the past ij time point, N represents the number of historical electricity demand data points, and the historical electricity demand at the past ij time point is the electricity demand of the time step corresponding to the ith time step in the preset period in the jth historical time period. For example, if the preset time period is day and the ith time step is 2 points, the 5 historical time periods, i.e., the time demand at two points every day in 5 days, are the historical electricity demand; ωj represents the historical data point D hist The weight of (ij) is a decay factor between 0 and 1. The number of historical data points N used for prediction is determined based on the predicted demand and data availability. The selection of N should balance the prediction accuracy and computational complexity. The decay factor λ is determined based on the volatility of historical data and the time range of prediction. The closer the value of λ is to 1, the more emphasis is placed on recent historical data; the closer the value of λ is to 0, the more emphasis is placed on long-term historical data. By considering multiple historical data points and assigning them different weights, the trend and cyclical changes in electricity demand can be captured more effectively, thereby improving the accuracy of the prediction.

[0086] The remaining power of the energy storage compartment is predicted using the following formula:

[0087]

[0088] Among them, E final (i) represents the remaining power of the energy storage compartment at the i-th time step in the predicted predetermined period, E initial It represents the remaining power of the energy storage cabin in the previous cycle of the scheduled cycle, E(r) represents the predicted total power generation in the rth time step in the scheduled cycle, and D(r) represents the predicted power demand in the rth time step in the scheduled cycle. The remaining power of the energy storage cabin in the previous cycle can be obtained by direct acquisition, and the difference between the predicted total power generation and power demand in each time step in the current time cycle is used to calculate the remaining power in the current time step, and the remaining power in each time step in the entire scheduled cycle is recursively predicted, so that the remaining power of the energy storage cabin can be predicted more accurately.

[0089] Further, in this embodiment, when the working state is working, the heat generated by the energy storage compartment is calculated according to the following formula:

[0090]

[0091] Among them, Q 热-i represents the heat generated by the energy storage compartment at the i-th time step in the predicted predetermined period, H represents the total battery capacity of the energy storage compartment, and T 绝 represents absolute temperature, Δt i represents the i-th time step in the predetermined period, U represents the battery voltage of the energy storage compartment, and E final(i-1) represents the remaining power of the energy storage compartment at the i-1th time step within the predicted predetermined period, I represents the battery current of the energy storage compartment, and R represents the battery resistance of the energy storage compartment;

[0092] When the working state is not working, the heat generated by the energy storage cabin is 0.

[0093] The predicting the temperature of the energy storage compartment within a predetermined period according to the heat generated by the energy storage compartment within the predetermined period includes:

[0094]

[0095] Among them, W 储-i represents the predicted temperature of the energy storage compartment at the i-th time step within the predetermined period, Q 热-i represents the heat generated by the energy storage cabin at the i-th time step in the predicted predetermined period, k is the convective heat transfer coefficient, which reflects the ability of the energy storage cabin to exchange heat with the environment through convection, and A 传 is the heat transfer area, which determines the contact area of ​​heat exchange between the energy storage compartment and the environment. 理想 Indicates the preset ideal temperature value, W 环 represents the ambient temperature, which can be obtained through weather forecast, c represents the specific heat capacity of the battery in the energy storage cabin, and Z represents the mass of the battery in the energy storage cabin.

[0096] Further, in this embodiment, the control of the working mode of the fluorine pump air conditioning system according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air conditioning system and the preset ideal temperature value includes:

[0097] When the predicted energy storage compartment temperature or ambient temperature is greater than or equal to the first preset multiple of the preset ideal temperature value, the fluorine pump air conditioning system works in compressor mode; if the ideal temperature value is set to 20 degrees Celsius, the first preset multiple is set to 2 times, when the predicted energy storage compartment temperature or ambient temperature is greater than or equal to 40 degrees Celsius, the fluorine pump air conditioning system works in compressor mode; the ambient temperature can be obtained through weather forecast;

[0098] When the predicted energy storage compartment temperature and ambient temperature are less than a first preset multiple of a preset ideal temperature value, and greater than or equal to a second preset multiple of a preset ideal temperature value, the fluorine pump air conditioning system works in a mixed mode; the second preset multiple is set to 1.5 times, when the predicted energy storage compartment temperature or ambient temperature is greater than or equal to 30 degrees Celsius, the fluorine pump air conditioning system works in a mixed mode;

[0099] The working mode of the fluorine pump air conditioning system described in other conditions is the fluorine pump mode;

[0100] The first preset multiple is greater than the second preset multiple.

[0101] By predicting the working time and temperature of the energy storage cabin and the heat dissipation capacity of the fluorine pump air conditioning system, the present invention can more accurately control the working mode of the fluorine pump air conditioning system and avoid unnecessary energy consumption. In particular, when the ambient temperature is low, the fluorine pump mode can be used more for cooling, thereby significantly reducing energy consumption. By maintaining the temperature of the energy storage cabin within the ideal range, the performance and life of the energy storage battery can be guaranteed.

[0102] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

[0103] The present invention has been described above with reference to the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents. Without departing from the scope of the present invention, a person skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

[0104] Although the embodiments of the present invention have been described in detail, it should be understood that the various changes, substitutions, and alterations could be made hereto without departing from the spirit and scope of the invention.

[0105] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A control method for a fluorine pump air conditioning system of an energy storage cabin, characterized in that: include: Predict the working time of the energy storage cabin within a predetermined period; Predicting the temperature of the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment; Obtain the heat dissipation capacity corresponding to different working modes of the fluorine pump air conditioning system; The working mode of the fluorine pump air conditioning system is controlled according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air conditioning system and the preset ideal temperature value.

2. The control method according to claim 1, characterized in that: The predicted working time of the energy storage cabin within the predetermined period includes: Dividing the predetermined period into a plurality of time steps; Forecast the power generation, power demand and remaining power of the energy storage cabin within each time step; When the power generation in the time step is greater than the predicted power demand, if the current remaining power of the energy storage cabin is less than the full power of the energy storage cabin, the energy storage cabin will be charged, and the working time is the time step; if the current remaining power of the energy storage cabin is equal to the full power of the energy storage cabin, the energy storage cabin will not work, and the working time is 0; When the power generation in the time step is equal to the predicted power demand, the energy storage cabin does not work and the working time is 0; When the power generation within the time step is less than the predicted power demand, if the remaining power of the energy storage cabin is greater than zero, the energy storage cabin discharges and the working time is the time step; if the remaining power of the energy storage cabin is zero, the energy storage cabin does not work and the working time is 0.

3. The control method according to claim 2, characterized in that: The power generation is predicted using the following formula: E(i)=E 1-i +E 2-i E 1-i =η·A·G i ·Δt i E 2-i =P(v ti )·Δt i Where E(i) represents the total power generation at the i-th time step in the predicted predetermined period, and E 1-i represents the photovoltaic power generation at the i-th time step in the predetermined period, E 2-i represents the wind power generation at the i-th time step within the predetermined period, η is the conversion efficiency of the solar panel, A is the area of ​​the solar panel, G i represents the solar radiation intensity at the i-th time step within a predetermined period, Δt i represents the i-th time step in the predetermined period, v ti represents the average wind speed of the i-th time step in the predetermined period, P(v ti ) represents the power output of the wind turbine at the i-th time step in the predetermined period, v in Indicates the minimum wind speed, v rated Indicates rated wind speed, v out represents the maximum wind speed, a and b represent the performance parameters of the wind turbine generator, P rated Indicates the rated power of the wind turbine.

4. The control method according to claim 2, characterized in that: The electricity demand is predicted using the following formula: Where D(i) represents the electricity demand at the i-th time step in the predicted period, and D hist (ij) represents the historical electricity demand at the past ij time point, N represents the number of historical electricity demand data points, and the historical electricity demand at the past ij time point is the electricity demand of the time step corresponding to the i-th time step in the predetermined period in the j-th historical time period; ω j Represents historical data point D hist (ij) and λ is a decay factor between 0 and 1.

5. The control method according to claim 2, characterized in that: The remaining power of the energy storage compartment is predicted using the following formula: Among them, E final (i) represents the remaining power of the energy storage compartment at the i-th time step in the predicted predetermined period, E initial It represents the remaining power of the energy storage compartment in the previous cycle of the scheduled cycle, E(r) represents the total power generation in the rth time step of the predicted scheduled cycle, and D(r) represents the power demand in the rth time step of the predicted scheduled cycle.

6. The control method according to claim 2, characterized in that: Predicting the temperature of the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment includes: Predicting the amount of heat generated by the energy storage compartment within a predetermined period based on the predicted working time of the energy storage compartment; Predicting the temperature of the energy storage compartment within a predetermined period based on the heat generated by the energy storage compartment within the predetermined period; The step of predicting the heat generated by the energy storage compartment within a predetermined period according to the predicted working time of the energy storage compartment comprises: According to the predicted working time of the energy storage cabin, the corresponding working state of the energy storage cabin is obtained: when the working time is the time step, the working state is working; when the working time is 0, the working state is not working; According to the corresponding working status of the energy storage compartment, the heat generated by the energy storage compartment is calculated.

7. The control method according to claim 6, characterized in that: When the working state is working, the heat generated by the energy storage compartment is calculated according to the following formula: Among them, Q 热-i represents the heat generated by the energy storage compartment at the i-th time step in the predicted predetermined period, H represents the total battery capacity of the energy storage compartment, and T 绝 represents absolute temperature, Δt i represents the i-th time step in the predetermined period, U represents the battery voltage of the energy storage compartment, and E final(i-1) represents the remaining power of the energy storage compartment at the i-1th time step within the predicted predetermined period, I represents the battery current of the energy storage compartment, and R represents the battery resistance of the energy storage compartment; When the working state is not working, the heat generated by the energy storage cabin is 0.

8. The control method according to claim 7, characterized in that: The predicting the temperature of the energy storage compartment within a predetermined period according to the heat generated by the energy storage compartment within the predetermined period includes: Among them, W 储-i represents the predicted temperature of the energy storage compartment at the i-th time step within the predetermined period, Q 热-i represents the heat generated by the energy storage compartment at the i-th time step in the predicted predetermined period, k is the convective heat transfer coefficient, A 传 is the heat transfer area, W 理想 Indicates the preset ideal temperature value, W 环 represents the ambient temperature, c represents the specific heat capacity of the battery in the energy storage cabin, and Z represents the mass of the battery in the energy storage cabin.

9. The control method according to claim 1, characterized in that: The working modes of the fluorine pump air conditioning system include compressor mode, fluorine pump mode and mixed mode; Obtain the heat dissipation capacity corresponding to different working modes of the fluorine pump air conditioning system through experiments or simulations.

10. The control method according to claim 9, characterized in that: The control of the working mode of the fluorine pump air conditioning system according to the energy storage cabin temperature predicted in the same period, the heat dissipation capacity of the fluorine pump air conditioning system and the preset ideal temperature value includes: When the predicted energy storage compartment temperature or the ambient temperature is greater than or equal to a first preset multiple of a preset ideal temperature value, the fluorine pump air conditioning system works in a compressor mode; When the predicted energy storage compartment temperature and the ambient temperature are less than a first preset multiple of the preset ideal temperature value, and greater than or equal to a second preset multiple of the preset ideal temperature value, the fluorine pump air conditioning system operates in a mixed mode; The working mode of the fluorine pump air conditioning system described in other conditions is the fluorine pump mode; The first preset multiple is greater than the second preset multiple.

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