Method and device for operating control of a refrigeration system, control apparatus and refrigeration system

Abstract

The application relates to a method and device for operating control of a refrigeration system, a control equipment and the refrigeration system, the refrigeration system comprising a photovoltaic module and a plurality of refrigeration modules containing cold storage medium, and the refrigeration system being suitable for a photovoltaic air conditioner, which belongs to an energy-saving air conditioner. The method comprises the following steps: predicting the power generation capacity of the photovoltaic module in a preset future time period; obtaining the cold storage information of the cold storage medium in each refrigeration module, and predicting the required consumed electric energy of each refrigeration module in the future time period according to the cold storage information; determining the priority of each refrigeration module in the case that the power generation capacity cannot meet the corresponding consumed electric energy of each refrigeration module; and providing electric energy for the plurality of refrigeration modules according to the priority and the consumed electric energy. Therefore, the photovoltaic energy can be efficiently utilized in the refrigeration system of the energy-saving air conditioner, the cold storage and energy supply states of the plurality of refrigeration modules can be balanced, and the energy efficiency level of the refrigeration system and the adaptability in an off-grid scene can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent air conditioners, and in particular to a running control method and device of a refrigeration system, a control equipment and the refrigeration system. BACKGROUND

[0002] In the running control of a conventional multi-split air conditioner powered by photovoltaic and power grid, photovoltaic power generation is intermittent and uncertain, and especially in an off-grid state, the power supply capacity fluctuates, resulting in the problem of unstable power supply for an air conditioner system relying on photovoltaic power supply.

[0003] In the prior art, some photovoltaic air conditioner systems use PCM (Phase Change Material) as a cold storage medium to cope with the risk of cooling interruption. However, in the scenario of multiple air conditioners operating in parallel, since the cooling demands of different air conditioners are different, it is easy to occur that the PCM of one air conditioner is exhausted while the PCM of another air conditioner still remains, resulting in waste of cooling capacity or insufficient cooling in a local area. SUMMARY

[0004] The present application provides a running control method and device of a refrigeration system, a control equipment and the refrigeration system to solve the technical problem that in the prior art, a photovoltaic air conditioner system uses PCM as a cold storage medium, and in the scenario of multiple air conditioners operating in parallel, since the cooling demands of different air conditioners are different, it is easy to occur that the PCM of one air conditioner is exhausted while the PCM of another air conditioner still remains, resulting in waste of cooling capacity or insufficient cooling in a local area.

[0005] In a first aspect, the present application provides a running control method of a refrigeration system, the refrigeration system comprising a photovoltaic module and a plurality of refrigeration modules containing a cold storage medium, the method comprising:

[0006] predicting the power generation capacity of the photovoltaic module in a preset future time period;

[0007] obtaining cold storage information of the cold storage medium in each refrigeration module, and predicting the required consumed electric energy of each refrigeration module in the future time period according to the cold storage information;

[0008] determining the priority of each refrigeration module in a case where it is determined that the power generation capacity cannot meet the corresponding consumed electric energy of each refrigeration module;

[0009] providing electric energy for a plurality of refrigeration modules according to the priority and the consumed electric energy.

[0010] As an optional implementation manner, the step of predicting the required consumed electric energy of each refrigeration module in the future time period according to the cold storage information comprises:

[0011] determine, according to the cold storage information, a first consumed power required by each of the cold storage media for cold storage in the future time period;

[0012] predict a second consumed power required by each of the refrigeration modules for refrigeration operation in the future time period;

[0013] determine, according to the first consumed power and the second consumed power corresponding to each of the refrigeration modules, a consumed power required by each of the refrigeration modules in the future time period.

[0014] As an optional implementation manner, the determining, according to the cold storage information, of the first consumed power required by each of the cold storage media for cold storage in the future time period comprises:

[0015] determining, according to the cold storage information, a current cold quantity stored by each of the cold storage media;

[0016] predicting a target cold quantity required by each of the refrigeration modules for consumption of cold quantity in the corresponding cold storage media;

[0017] determining, for each of the refrigeration modules, a storage cold quantity required by the refrigeration module to be stored in the future time period according to the current cold quantity and the target cold quantity;

[0018] predicting a consumed power corresponding to the storage cold quantity, and determining the consumed power as the first consumed power required by the cold storage medium corresponding to the refrigeration module for cold storage in the future time period.

[0019] As an optional implementation manner, the predicting of the target cold quantity required by each of the refrigeration modules for consumption of cold quantity in the corresponding cold storage media comprises:

[0020] for each of the refrigeration modules, obtaining a historical target cold quantity of the refrigeration module for consumption of cold quantity in the corresponding cold storage media in a historical time period, and a historical cold quantity consumption correlation parameter of the refrigeration module in the historical time period; wherein the historical time period is a historical same-period time period of the future time period;

[0021] predicting a future cold quantity consumption correlation parameter of the refrigeration module in the future time period;

[0022] determining a parameter value deviation between the future cold quantity consumption correlation parameter and the historical cold quantity consumption correlation parameter;

[0023] correcting the historical target cold quantity according to the parameter value deviation, to obtain the target cold quantity required by the refrigeration module for consumption of cold quantity in the corresponding cold storage media.

[0024] As an optional implementation, the historical cold consumption related parameters comprise a historical indoor environment temperature where the refrigeration module is located and a historical usage frequency of the refrigeration module, and the future cold consumption related parameters comprise a future indoor environment temperature where the refrigeration module is located and a future usage frequency of the refrigeration module.

[0025] The parameter value deviation between the future cold consumption related parameters and the historical cold consumption related parameters is determined, comprising:

[0026] An environment temperature deviation between the future indoor environment temperature and the historical indoor environment temperature is determined, and a usage frequency deviation between the future usage frequency and the historical usage frequency is determined.

[0027] The historical target cold is corrected according to the parameter value deviation, to obtain a target cold required by the refrigeration module when consuming cold in the corresponding cold storage medium, comprising:

[0028] The historical target cold is corrected according to the environment temperature deviation, to obtain an initial target cold.

[0029] The initial target cold is corrected according to the usage frequency deviation, to obtain the target cold.

[0030] As an optional implementation, the priority of each refrigeration module is determined, comprising:

[0031] A usage frequency and an operation load of each refrigeration module in a preset historical time period are obtained; the preset historical time period is a time period in a historical time which is the same as the future time period.

[0032] The priority of each refrigeration module is determined according to the usage frequency and the operation load.

[0033] As an optional implementation, the priority of each refrigeration module is determined, comprising:

[0034] A refrigeration area where each refrigeration module is located is determined.

[0035] A time period corresponding to the consumption of the corresponding cold storage medium by each refrigeration module is predicted.

[0036] The priority of each refrigeration module is determined according to the refrigeration area and the time period.

[0037] As an optional implementation, the power supply to the plurality of refrigeration modules is provided according to the priority and the consumed power, comprising:

[0038] According to the priority, the plurality of refrigeration modules are divided into target refrigeration modules and non-target refrigeration modules;

[0039] According to the consumed electric energy of the target refrigeration module, the electric energy provided to the target refrigeration module is determined, and according to the power generation capacity, the residual electric energy after the electric energy provided to the target refrigeration module is determined.

[0040] According to the consumed electric energy of the non-target refrigeration module, the electric energy distribution ratio of the non-target refrigeration module is determined.

[0041] According to the electric energy distribution ratio, the residual electric energy is distributed to the non-target refrigeration module.

[0042] As an optional implementation manner, the cold storage medium is an intelligent phase change material module; the method further comprises:

[0043] In the case that any of the refrigeration modules is refrigerated by the corresponding intelligent phase change material module, the indoor temperature fluctuation amplitude of the area where the corresponding refrigeration module is located is obtained by the intelligent phase change material module detection;

[0044] In the case that the temperature fluctuation amplitude is greater than a preset fluctuation threshold, the intelligent phase change material module is controlled to increase the cold release rate;

[0045] In the case that the temperature fluctuation amplitude is less than the preset fluctuation threshold, the intelligent phase change material module is controlled to reduce the cold release rate.

[0046] As an optional implementation manner, the method further comprises:

[0047] The actual power generation capacity of the photovoltaic module is obtained, and the power generation deviation between the actual power generation capacity and the predicted power generation capacity is determined;

[0048] In the case that the power generation deviation is greater than a preset deviation threshold, the consumed electric energy of each refrigeration module in the remaining future time period is re-predicted.

[0049] As an optional implementation manner, each refrigeration module is provided with a control unit, the control unit is used for controlling the cold storage or release of the corresponding cold storage medium, and each control unit interacts through a preset communication protocol, wherein, in the case that any control unit detects that any adjacent control unit fails, the control unit controls the corresponding cold storage medium to store or release cold.

[0050] In a second aspect, the application provides a running control device of a refrigeration system, the refrigeration system comprising a photovoltaic module and a plurality of refrigeration modules containing cold storage medium, the device comprising:

[0051] a first prediction module configured to predict power generation capacity of the photovoltaic module in a preset future time period;

[0052] a second prediction module configured to obtain cold storage information of the cold storage medium in each of the refrigeration modules, and predict required power consumption of each of the refrigeration modules in the future time period according to the cold storage information;

[0053] a priority determination module configured to determine a priority of each of the refrigeration modules in a case where the power generation capacity fails to meet the corresponding power consumption of each of the refrigeration modules;

[0054] a power supply module configured to supply power to the refrigeration modules according to the priority and the power consumption.

[0055] In a third aspect, the present application provides a control device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory is used to store a computer program; the processor is used to execute the computer program to realize the operation control method of the refrigeration system in any one of the first aspect.

[0056] In a fourth aspect, the present application provides a refrigeration system, comprising a photovoltaic module, a plurality of refrigeration modules containing cold storage medium, and a control device;

[0057] The photovoltaic module is used to supply power to each of the refrigeration modules;

[0058] The refrigeration module is used to refrigerate an indoor environment and store electric energy as cold energy through the cold storage medium;

[0059] The control device is the control device in the third aspect.

[0060] Compared with the prior art, the above technical solution provided by the embodiments of the present application has the following advantages: the method provided by the embodiments of the present application can avoid the blindness of power distribution caused by the inability to predict power supply fluctuations in the traditional scheme by predicting the power generation capacity of the photovoltaic module in the future time period, thereby laying a foundation for subsequent accurate power supply. At the same time, based on the prediction of the corresponding consumed power based on the cold storage information of the cold storage medium in each refrigeration module, the matching relationship between the cold demand and the power consumption of each refrigeration module can be accurately grasped, thereby effectively avoiding the problem of "coexistence of exhausted and remaining cold storage medium" in the prior art, reducing the waste of cold energy or the insufficient cooling in the local area. When the power generation capacity cannot meet the power consumption of all refrigeration modules, by determining the priority and supplying power according to the priority and the power consumption, the resources can be inclined to the high-demand module when the power generation capacity is limited, thereby ensuring the cooling demand in the core area and further improving the stability of the system cooling, so as to realize efficient use of photovoltaic energy while ensuring that the cold storage and power supply states of the multiple refrigeration modules tend to be balanced, thereby improving the energy efficiency of the refrigeration system and the adaptability in the off-grid scene. BRIEF DESCRIPTION OF DRAWINGS

[0061] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0062] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0063] One or more embodiments are exemplarily illustrated by the pictures in the corresponding drawings, which do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, unless otherwise specified. The drawings do not constitute a proportional limitation.

[0064] Figure 1 A structural schematic diagram of a refrigeration system provided by the embodiments of the present application;

[0065] Figure 2 An embodiment flowchart of a running control method of a refrigeration system provided by the embodiments of the present application;

[0066] Figure 3 An embodiment flowchart of another running control method of a refrigeration system provided by the embodiments of the present application;

[0067] Figure 4 An embodiment flowchart of still another running control method of a refrigeration system provided by the embodiments of the present application;

[0068] Figure 5 Another embodiment flow chart of a method for operating a refrigeration module is provided for embodiments of the present application;

[0069] Figure 6 Another embodiment flow chart of a method for operating a refrigeration system is provided for embodiments of the present application;

[0070] Figure 7 An embodiment block diagram of a control device for a refrigeration system is provided for embodiments of the present application;

[0071] Figure 8 An embodiment block diagram of a control device for a refrigeration system is provided for embodiments of the present application;

[0072] Figure 9 Another embodiment block diagram of a refrigeration system is provided for embodiments of the present application. DETAILED DESCRIPTION

[0073] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0074] The following disclosure provides many different embodiments, or examples, for implementing different structures of the present application. For the purpose of simplification, the components and arrangements of the specific examples are described in the following. Of course, they are only examples and are not intended to limit the present application. In addition, the present application can repeatedly refer to the numbers and / or letters in different examples. Such repetition is for the purpose of simplification and clarity, and does not indicate the relationship between the various embodiments and / or arrangements discussed.

[0075] To solve the technical problem that in the prior art, in the scenario of multiple air conditioners operating in parallel, the photovoltaic air conditioning system uses phase change materials as cold storage medium, and due to different cooling demands of different air conditioners, the phase change material of one air conditioner is easily exhausted while another still has surplus, causing waste of cold energy or insufficient cooling supply in local areas, the application provides a running control method of a refrigeration system, which can predict the power generation capacity of a photovoltaic module in a future time period in advance, avoid the blindness of power distribution caused by the inability to predict power supply fluctuations in the traditional scheme, and lay a foundation for subsequent accurate power supply; at the same time, based on the prediction of the consumed power of the cold storage information of the cold storage medium in each refrigeration module, the matching relationship between the cold energy demand and the power consumption of each refrigeration module can be accurately grasped, the problem of "coexistence of exhausted and surplus cold storage medium" in multiple refrigeration modules in the prior art can be effectively avoided, and the waste of cold energy or the insufficient cooling supply in local areas can be reduced; when the power generation capacity cannot meet the power consumption of all refrigeration modules, by determining the priority and supplying power according to the priority and the power consumption, when the power generation capacity is limited, resources can be inclined to high demand modules, the cooling demand of the core area is ensured, the cooling stability of the system is further improved, and the efficiency of the refrigeration system and the adaptability in off-grid scenarios are improved while the photovoltaic energy is efficiently utilized.

[0076] To facilitate understanding of the running control method of the refrigeration system provided by the application, the refrigeration system is first illustrated as follows.

[0077] Referring to Figure 1 , a structure schematic diagram of a refrigeration system provided by an embodiment of the application is shown. As Figure 1 indicated, the refrigeration system 10 can include a photovoltaic module 11 and multiple refrigeration modules containing cold storage medium: refrigeration module 12, refrigeration module 13, and refrigeration module 14.

[0078] Among them, the above-mentioned photovoltaic module 11 can be used to convert solar energy in the environment into electric energy, thereby supplying power to multiple refrigeration modules. Further, the photovoltaic module 11 can include a photovoltaic panel.

[0079] The above-mentioned refrigeration module (refrigeration module 12, refrigeration module 13, and refrigeration module 14) refers to a module for adjusting indoor temperature, which can be an air conditioning unit in the refrigeration system.

[0080] Among them, the above-mentioned refrigeration module can contain cold storage medium: the refrigeration module 12 can contain cold storage medium 121, the refrigeration module 13 can contain cold storage medium 131, and the refrigeration module 14 can contain cold storage medium 141.

[0081] Optionally, the above-mentioned cold storage medium (cold storage medium 121, cold storage medium 131, and cold storage medium 141) refers to a medium for storing cold in the refrigeration module. The cold storage medium can store cold by phase change using electrical energy. The cold storage medium can be a phase change material.

[0082] In the embodiments of the present application, the above-mentioned photovoltaic module 11 can be connected to each refrigeration module (refrigeration module 12, refrigeration module 13, and refrigeration module 14) to provide electrical energy for each refrigeration module, so that the refrigeration module adjusts the indoor temperature.

[0083] In actual application, when the above-mentioned refrigeration system 10 provides electrical energy for the refrigeration module through multiple refrigeration modules, it can include an off-grid mode and a grid-connected mode. In the off-grid mode, the refrigeration module can be provided with electrical energy only by the photovoltaic module 11. In the grid-connected mode, the refrigeration module can be provided with electrical energy by the photovoltaic module 11 and the power grid. In this case, the refrigeration module can be preferentially provided with electrical energy by the photovoltaic module 11, and when the electrical energy provided by the photovoltaic module 11 is insufficient, the refrigeration module can be provided with electrical energy by the power grid.

[0084] In the off-grid mode, due to the changeable weather, the photovoltaic power generation has intermittency and uncertainty, resulting in fluctuation of power supply capacity, and thus the air conditioning system relying on photovoltaic power supply faces the problem of unstable power supply.

[0085] In the prior art, the photovoltaic air conditioning system uses a phase change material as a cold storage medium to cope with the risk of interruption of cooling supply. However, in the scenario of multiple air conditioners operating in parallel, due to different refrigeration demands of different air conditioners, it is easy to have a situation that the phase change material of one air conditioner is exhausted while another still has surplus, causing waste of cold or insufficient cooling supply in local areas.

[0086] To this end, the present application provides a refrigeration system operation control method, which can predict the power generation capacity of the photovoltaic module in the future time period in advance, avoid the blindness of electrical energy distribution caused by the inability to predict power supply fluctuations in the traditional scheme, and lay a foundation for subsequent accurate power supply. At the same time, based on the cold storage information of the cold storage medium in each refrigeration module, the corresponding consumed electrical energy can be predicted, the matching relationship between the cold demand and the electrical energy consumption of each refrigeration module can be accurately grasped, the problem of "coexistence of exhausted and surplus cold storage medium" of multiple refrigeration modules in the prior art can be effectively avoided, and the situation of waste of cold or insufficient cooling supply in local areas can be reduced. When the power generation capacity cannot meet the electrical energy consumption of all refrigeration modules, by determining the priority and supplying energy according to the priority and the electrical energy consumption, when the power generation capacity is limited, resources can be tilted to high-demand modules, the cooling demand of core areas can be guaranteed, the stability of the system cooling supply can be further improved, the cold storage and energy supply states of multiple refrigeration modules can be ensured to be balanced while the photovoltaic energy is efficiently utilized, and thus the energy efficiency level of the refrigeration system and the adaptability in the off-grid scenario are improved.

[0087] The operation control method of the refrigeration system provided by the present application is further explained below in specific embodiments in combination with the accompanying drawings, which do not constitute a limitation on the embodiments of the present application.

[0088] Referring to Figure 2 An embodiment flowchart of the operation control method of the refrigeration system provided by the present application is shown. As an embodiment, the Figure 2 The flowchart shown can be applied to a refrigeration system, which can be applicable to a photovoltaic air conditioner, which belongs to an energy-saving air conditioner. The refrigeration system can include a photovoltaic and a plurality of refrigeration modules containing a cold storage medium, for example Figure 1 The refrigeration system 10 shown. As Figure 2 The flowchart can include the following steps:

[0089] Step 201, predicting the power generation capacity of the photovoltaic module in a preset future time period.

[0090] The photovoltaic module mentioned above refers to a power supply component in the air conditioning unit for converting solar energy into electrical energy.

[0091] The power generation capacity mentioned above refers to the range of electrical energy that the photovoltaic module can provide in the future time period. Optionally, the power generation capacity can be represented by the range of power generation power that the photovoltaic module can provide in the future time period.

[0092] The future time period mentioned above can be a time period occurring after the current time, for example, 2 hours after the current time, or for example, the next day after the current time.

[0093] In this step, the refrigeration system can have a photovoltaic module and a plurality of refrigeration modules. The photovoltaic module can provide electrical energy for the operation of each refrigeration module to enable the refrigeration module to achieve the refrigeration function. In this case, when the photovoltaic module is in an off-grid state, i.e., powered only by the photovoltaic module, due to the influence of environmental factors such as weather, light intensity, and temperature, the photovoltaic power generation power of the photovoltaic module has significant time-varying and uncertainty. Therefore, in order to prevent the influence of the change of the photovoltaic power generation power of the photovoltaic module on the power module, the execution subject of the present embodiment can predict the power generation capacity of the photovoltaic module in a preset future time period.

[0094] In an embodiment, the execution subject of the present embodiment can pre-train a power generation capacity prediction model. Based on this, the execution subject of the present embodiment can obtain future weather information in the future time period and input the future weather information into the power generation capacity prediction model to obtain the power generation capacity of the photovoltaic module in the future time period output by the power generation capacity prediction model.

[0095] As an optional implementation, historical power generation data of the photovoltaic module in a historical time period can be acquired, and the historical power generation data is used to train the power generation capacity prediction model.

[0096] In another embodiment, the execution subject of the embodiment of the present application can acquire historical power generation data of the photovoltaic module in a historical time period, and construct a correlation between the light intensity and the power generation of the power generation module according to the historical power generation data.

[0097] Based on this, the execution subject of the embodiment of the present application can acquire future weather information in a future time period, and determine future light intensity in the future time period from the future weather information. Then, the future power generation of the photovoltaic module in the future time period can be determined according to the future light intensity and the correlation, and the future power generation is determined as the future power generation of the photovoltaic module in the future time period.

[0098] Step 202, acquire the cold storage information of the cold storage medium in each refrigeration module, and predict the consumed power required by each refrigeration module in the future time period according to the cold storage information.

[0099] The cold storage medium refers to a medium for storing cold in the refrigeration module. The cold storage medium can store cold by phase change using electric energy, and the cold storage medium can be a phase change material.

[0100] The cold storage information refers to the current state parameter of the cold storage medium, which can include but is not limited to the current stored residual cold, the current phase change progress, etc.

[0101] The consumed power refers to the predicted consumed power required by each refrigeration module in the future time period, which can include but is not limited to the power required by the refrigeration module in the refrigeration process, and the power consumed by the cold storage medium of the refrigeration module when storing the required cold. Among them, the required cold stored by the cold storage medium refers to the total cold required when the cold storage medium needs to provide cold when the power supply capacity of the photovoltaic module is insufficient, in addition to the cold currently stored by the cold storage medium, the cold additionally stored in the future time period.

[0102] In this step, in order to determine whether the photovoltaic module can meet the power demand of the multiple refrigeration modules in the future time period, the execution subject of the embodiment of the present application can acquire the cold storage information of the cold storage medium in each refrigeration module after predicting the power generation capacity of the photovoltaic module in the future time period, and predict the consumed power required by each refrigeration module in the future time period according to the cold storage information.

[0103] As to how to predict the consumed power required by each refrigeration module in the future time period, it can be described below by the flow shown in the following Figure 3 , which will not be described in detail here.

[0104] In an embodiment, when obtaining the cold storage information of the cold storage medium in each refrigeration module, the subject of the embodiment of the present application can analyze the current state of the cold storage medium in each refrigeration module to determine the cold storage information of the cold storage medium.

[0105] Step 203: When it is determined that the power generation capacity cannot meet the power consumption of each refrigeration module, the priority of each refrigeration module is determined.

[0106] Step 204: Power is provided to the plurality of refrigeration modules according to the priority and the power consumption.

[0107] The steps 203 and 204 are described as follows:

[0108] In this step, after predicting the power generation capacity of the photovoltaic module in the future time period and the power consumption of each refrigeration module in the future time period, the subject of the embodiment of the present application can determine whether the power generation capacity of the photovoltaic module in the future time period can meet the power consumption of each refrigeration module according to the power generation capacity and the power consumption of each refrigeration module.

[0109] Optionally, when it is determined that the power generation capacity can meet the power consumption of each refrigeration module, it indicates that the power supply capacity of the photovoltaic module is high at this time, and therefore the cold storage of the cold storage medium in each refrigeration module can be controlled synchronously.

[0110] Optionally, when it is determined that the power generation capacity cannot meet the power consumption of each refrigeration module, the priority of each refrigeration module can be determined, so that power can be provided to the plurality of refrigeration modules according to the priority and the power consumption of each refrigeration module in the future time period, to preferentially meet the power supply demand of the refrigeration module with high priority.

[0111] As to how to provide power to the plurality of refrigeration modules according to the priority and the power consumption of each refrigeration module, the process will be described below through the flowchart shown in FIG. 6, which will not be described in detail here. Figure 5

[0112] In an embodiment, the power consumption of each refrigeration module in the future time period can be added to obtain the total power consumption of all refrigeration modules in the future time period. Then, the power generation capacity can be compared with the total power consumption to determine whether the power generation capacity of the photovoltaic module in the future time period meets the power consumption of each refrigeration module.

[0113] Optionally, when it is determined that the power generation capacity is less than the total power consumption, it is determined that the power generation capacity cannot meet the power consumption of each refrigeration module.

[0114] ​Optionally, in a case where it is determined that the power generation capacity is greater than or equal to the total consumed power, it can be determined that the power generation capacity meets the consumed power of each refrigeration module.

[0115] In an embodiment, when determining the priority of each refrigeration module, the subject performing the embodiment of the present application can obtain the usage frequency and the operating load of each refrigeration module in a preset historical time period. The preset historical time period is a time period in the historical time that is the same as the future time period. For example, if the future time period is 9:00-10:00 am, the preset historical time period can be 9:00-10:00 am of the previous day. The usage frequency refers to the frequency of operation of the refrigeration module in the preset historical time period, and the operating load refers to the total load of the refrigeration module during operation in the preset historical time period.

[0116] Based on this, the subject performing the embodiment of the present application can determine the priority of each refrigeration module according to the usage frequency and the operating load.

[0117] As an optional implementation, the initial priority of each refrigeration module can be determined according to the usage frequency.

[0118] As an exemplary implementation, the initial priority of each refrigeration module can be determined in descending order of usage frequency, that is, the higher the usage frequency, the greater the initial priority.

[0119] Then, the initial priority can be adjusted according to the operating load to obtain the priority of each refrigeration module.

[0120] As an exemplary implementation, a corresponding relationship between the preset operating load and the adjustment weight can be obtained, and the adjustment weight corresponding to each refrigeration module can be determined according to the operating load of the refrigeration module and the corresponding relationship. Then, for each refrigeration module, the initial priority corresponding to the refrigeration module can be adjusted according to the adjustment weight corresponding to the refrigeration module to obtain the priority corresponding to the refrigeration module.

[0121] As another optional implementation, for each refrigeration module, a first score of the refrigeration module can be determined according to the usage frequency corresponding to the refrigeration module, and a second score of the refrigeration module can be determined according to the operating load corresponding to the refrigeration module.

[0122] Then, the total score corresponding to each refrigeration module can be determined according to the first score and the second score.

[0123] As a determination method, the first score and the second score can be added to obtain the total score corresponding to the refrigeration module.

[0124] As another determining manner, a first weight corresponding to the usage frequency and a second weight corresponding to the operation load can be determined. Then, the first score can be multiplied by the first weight to obtain a first value, and the second score can be multiplied by the second weight to obtain a second value, and the first value and the second value can be added to obtain the total score corresponding to the refrigeration module.

[0125] Finally, the priority corresponding to the refrigeration module can be determined according to each total score.

[0126] As a determining manner, a corresponding relationship between the total score and the priority can be obtained in advance. Then, the priority corresponding to the total score of each refrigeration module can be determined from the corresponding relationship. In the corresponding relationship, the total score and the priority can be positively correlated, that is, the greater the total score, the greater the corresponding priority.

[0127] As another optional implementation manner, the initial priority of each refrigeration module can be determined according to the operation load.

[0128] As an exemplary embodiment, a corresponding relationship between the operation load and the initial priority can be obtained in advance, and the initial priority corresponding to each refrigeration module can be determined according to the operation load of each refrigeration module and the corresponding relationship.

[0129] Then, the initial priority of each refrigeration module can be adjusted according to the usage frequency.

[0130] As an exemplary embodiment, the adjustment weight of each refrigeration module can be determined in descending order of the usage frequency, that is, the higher the usage frequency, the greater the corresponding adjustment weight.

[0131] Then, the priority of each refrigeration module can be adjusted according to the adjustment weight corresponding to the refrigeration module to obtain the priority corresponding to the refrigeration module.

[0132] In another embodiment, when determining the priority of each refrigeration module, the refrigeration area where each refrigeration module is located can be determined, and the time period corresponding to the consumption of the corresponding cold storage medium by each refrigeration module can be predicted. The refrigeration area refers to the area where the refrigeration module is located when it is refrigerating, such as an office or a home area. The time period refers to the time period when the refrigeration module needs to rely on the cold energy stored in the cold storage medium to refrigerate when the power supply capacity of the photovoltaic module is insufficient.

[0133] As an exemplary embodiment, when predicting the time period, the historical operation data of each refrigeration module can be obtained, and the time period corresponding to the consumption of the cold energy in the cold storage medium by the refrigeration module can be determined from the historical operation data.

[0134] Based on this, the priority of each refrigeration module can be determined according to the refrigeration area and the time period.

[0135] As an exemplary embodiment, for each refrigeration module, the refrigeration demand corresponding to the refrigeration area and the time period of the refrigeration module can be determined. Then, the priority of each refrigeration module can be determined according to the refrigeration demand.

[0136] As an embodiment, a pre-trained refrigeration demand prediction model can be obtained, and the refrigeration area and the time period can be input into the refrigeration demand prediction model to obtain the refrigeration demand output by the refrigeration demand prediction model. Then, the priority corresponding to the refrigeration demand of each refrigeration module can be determined from the pre-set correspondence between refrigeration demand and priority.

[0137] For example, when the refrigeration area is a working area, if the time period is daytime, the refrigeration demand is large, and the corresponding priority is high; if the time period is nighttime, the refrigeration demand is small, and the corresponding priority is low.

[0138] In yet another embodiment, when determining the priority of each refrigeration module, the usage frequency and the operating load of each refrigeration module in a pre-set historical time period can be obtained, and the initial priority of each refrigeration module can be determined according to the usage frequency and the operating load. The determination method of the initial priority can refer to the method of determining the priority of each refrigeration module according to the usage frequency and the operating load in the above-mentioned embodiments, which will not be described here.

[0139] Then, the refrigeration area where each refrigeration module is located can be determined, and the time period corresponding to the consumption of the corresponding cold storage medium by each refrigeration module can be predicted. On this basis, the initial priority can be adjusted according to the refrigeration area and the time period to obtain the priority of each refrigeration module.

[0140] In addition, in an embodiment, the refrigeration system can further include an energy storage module, and the refrigeration system can store electrical energy to the energy storage module when the power generation capacity of the photovoltaic module is high. Based on this, when it is determined that the power generation capacity cannot meet the consumption of electrical energy by each refrigeration module, the stored electrical energy stored in the energy storage module can be obtained.

[0141] Then, the total electrical energy of the power generation capacity and the stored electrical energy can be determined, and it can be determined whether the total electrical energy can meet the consumption of electrical energy by each refrigeration module.

[0142] Optionally, when it is determined that the total electrical energy can meet the consumption of electrical energy by each refrigeration module, the cold storage medium of each refrigeration module can be controlled to store cold energy synchronously.

[0143] Optionally, when it is determined that the total electric energy cannot meet the consumed electric energy of each refrigeration module, the step of determining the priority of each refrigeration module can be continuously executed.

[0144] In addition, in an embodiment, the cold storage medium can be a smart phase change material module. Based on this, when any refrigeration module is cooled by the corresponding smart phase change material, the indoor temperature fluctuation amplitude of the area where the corresponding refrigeration module is located can be obtained by the smart phase change material module. The smart phase change material module can include a temperature detection module to detect the indoor temperature and determine the indoor temperature fluctuation amplitude based on the detection result.

[0145] Optionally, when the temperature fluctuation amplitude is greater than the preset fluctuation threshold, in order to quickly adjust the indoor temperature, the execution subject of the embodiment of the present application can control the smart phase change material module to increase the cold release rate. The cold release rate can be the rate at which the cold storage medium releases cold.

[0146] Optionally, when the temperature fluctuation amplitude is less than the preset fluctuation threshold, in order to reduce the adjustment rate of the indoor temperature, the execution subject of the embodiment of the present application can control the smart phase change material module to reduce the cold release rate.

[0147] In addition, in an embodiment, after the predicted power generation capacity of the photovoltaic module is allocated to each refrigeration module, in order to prevent the actual deviation of the power generation capacity of the photovoltaic module from the predicted power generation capacity from being large, the execution subject of the embodiment of the present application can obtain the actual power generation capacity of the photovoltaic module during the operation of the photovoltaic module, and determine the power generation deviation between the actual power generation capacity and the predicted power generation capacity.

[0148] Then, it can be determined whether the power generation deviation is greater than a preset deviation threshold.

[0149] Optionally, when the power generation deviation is greater than the deviation threshold, in order to prevent a large deviation in the electric energy allocated to the refrigeration module, the execution subject of the embodiment of the present application can re-predict the consumed electric energy of each refrigeration module in the remaining future time period, and re-provide electric energy for the plurality of refrigeration modules according to the priority and the consumed electric energy of each refrigeration module based on the re-predicted consumed electric energy.

[0150] In addition, in an embodiment, each refrigeration module can be built-in a control unit, the control unit can be used to control the cold storage or release operation of the corresponding storage medium, and each control unit can interact with other control units through a preset communication protocol. In this case, each control unit can interact with other control units through the load demand and state information of each control unit, and determine the electric energy allocation ratio between each other based on the load demand and state information.

[0151] Afterwards, the above-mentioned electricity distribution ratio can be applied to the execution subject of the embodiment of the present application, and the execution subject of the embodiment of the present application can distribute the predicted power generation capacity to the refrigeration module according to the electricity distribution ratio.

[0152] Further, when any control unit detects that any adjacent control unit fails, the control unit can automatically take over the adjacent failed control unit to control the cold storage or release of the cold storage medium corresponding to the failed control unit.

[0153] The technical scheme provided by the embodiment of the present application predicts the power generation capacity of the photovoltaic module in a preset future time period, obtains the cold storage information of the cold storage medium in each refrigeration module, and predicts the required consumption electricity of each refrigeration module in the future time period according to the above-mentioned cold storage information. When it is determined that the above-mentioned power generation capacity cannot meet the corresponding consumption electricity of each refrigeration module, the priority of each refrigeration module is determined, and electricity is provided for multiple refrigeration modules according to the above-mentioned priority and consumption electricity. This technical scheme can avoid the blindness of electricity distribution caused by the inability to predict power supply fluctuations in the traditional scheme by predicting the power generation capacity of the photovoltaic module in the future time period in advance, and lays a foundation for subsequent accurate power supply. At the same time, the corresponding consumption electricity is predicted based on the cold storage information of the cold storage medium in each refrigeration module, which can accurately grasp the matching relationship between the cooling capacity demand and the electricity consumption of each refrigeration module, effectively avoid the problem that multiple refrigeration modules have both exhausted and remaining cold storage medium in the prior art, and reduce the waste of cooling capacity or the insufficient cooling supply in local areas. When the power generation capacity cannot meet the consumption electricity of all refrigeration modules, electricity is supplied according to the priority and consumption electricity by determining the priority, which can tilt resources to high-demand modules when the power generation capacity is limited, guarantee the cooling demand in the core area, further improve the stability of the system cooling, and realize efficient use of photovoltaic energy while ensuring that the cold storage and power supply states of multiple refrigeration modules tend to be balanced, thereby improving the energy efficiency of the refrigeration system and the adaptability in off-grid scenarios.

[0154] Referring to Figure 3 Another embodiment of the operation control method of the refrigeration system provided by the embodiment of the present application is shown in the flowchart. Figure 3 The flowchart shown in Figure 2 Based on the flowchart shown in Figure 3 The flowchart can include the following steps:

[0155] Step 301, according to the above-mentioned cold storage information, determine the first consumption electricity required by each cold storage medium for cold storage in the future time period.

[0156] Step 302, predict the second consumption electricity required by each refrigeration module for refrigeration operation in the future time period.

[0157] The following describes steps 301 and 302 together:

[0158] The first consumed electric energy refers to the consumed electric energy of the refrigeration module when storing cold through the cold storage medium during the future time period.

[0159] The second consumed electric energy refers to the consumed electric energy of the refrigeration module during refrigeration operation in the future time period. The refrigeration operation can include, but is not limited to, operation of the fan, the air duct adjusting component, and the local control component in the refrigeration module.

[0160] In this step, the consumed electric energy of the refrigeration module can come from two aspects: one aspect is the consumed electric energy of the refrigeration module when storing cold through the cold storage medium; the other aspect is the consumed electric energy of the refrigeration module when achieving refrigeration operation. Therefore, when determining the consumed electric energy of each refrigeration module in the future time period, the execution subject of the embodiment of the present application can determine the first consumed electric energy of each cold storage medium when storing cold in the future time period according to the cold storage information, and can predict the second consumed electric energy of each refrigeration module when achieving refrigeration operation in the future time period.

[0161] In an embodiment, the execution subject of the embodiment of the present application can determine the first consumed electric energy of each cold storage medium when storing cold in the future time period according to the cold storage information by Figure 4 The flow shown in FIG. 4 describes how to determine the first consumed electric energy. As shown in FIG. 4, the flow can include the following steps: Figure 4 FIG. 5 shows an embodiment flowchart of another refrigeration system operation control method provided by the embodiment of the present application. Figure 4 The flow shown in FIG. 4 describes how to determine the first consumed electric energy. As shown in FIG. 4, the flow can include the following steps: Figure 4 The flow shown in FIG. 4 describes how to determine the first consumed electric energy. As shown in FIG. 4, the flow can include the following steps:

[0162] Step 401: Determine the current cold amount stored by each cold storage medium according to the cold storage information.

[0163] The current cold amount refers to the total cold amount currently stored by the cold storage medium.

[0164] In this step, the execution subject of the embodiment of the present application can determine the current cold amount stored by each cold storage medium according to the obtained cold storage information of each cold storage medium.

[0165] In an embodiment, the cold storage information can include the current cold amount currently stored by the cold storage medium. Based on this, the execution subject of the embodiment of the present application can directly determine the current cold amount stored by the corresponding cold storage medium from the cold storage information.

[0166] Step 402: Predict the target cold amount required by each refrigeration module when consuming the cold amount in the corresponding cold storage medium.

[0167] The target cold quantity refers to the total cold quantity consumed in the storage medium when the refrigeration module needs to consume the cold quantity in the corresponding storage medium to meet the refrigeration demand when the photovoltaic module is insufficient.

[0168] In this step, in order to enable the cold quantity stored in the storage medium to meet the cold quantity demand of the refrigeration module when the refrigeration module consumes the cold quantity in the storage medium, the execution subject of the embodiment of the application can predict the target cold quantity required by each refrigeration module when consuming the cold quantity in the corresponding storage medium.

[0169] As an optional implementation, for each refrigeration module, the historical target cold quantity consumed by the refrigeration module in a historical time period and the historical cold quantity consumption correlation parameter of the refrigeration module in the historical time period can be obtained. The historical time period is a historical same period time period of a future time period. For example, when the future time period is 9:00-10:00 am, the preset historical time period can be 9:00-10:00 am of the previous day. The historical cold quantity consumption correlation parameter refers to a correlation parameter that affects the consumption of the cold quantity by the refrigeration module when the refrigeration module is running. The historical cold quantity consumption correlation parameter can include but is not limited to the ambient temperature of the environment in which the refrigeration module is located, the operating load demand of the refrigeration module, and the like.

[0170] Then, the future cold quantity consumption correlation parameter of the refrigeration module in the future time period can be predicted, and a parameter value deviation between the future cold quantity consumption correlation parameter and the historical cold quantity consumption correlation parameter can be determined.

[0171] Finally, the historical target cold quantity can be corrected according to the parameter value deviation to obtain the target cold quantity required by the refrigeration module when consuming the cold quantity in the corresponding storage medium.

[0172] As an exemplary implementation, the historical cold quantity consumption correlation parameter can include the historical indoor ambient temperature of the environment in which the refrigeration module is located and the historical use frequency of the refrigeration module, and the future cold quantity consumption correlation parameter can include the future indoor ambient temperature of the environment in which the refrigeration module is located and the future use frequency of the refrigeration module.

[0173] Based on this, when the parameter value deviation is determined, the ambient temperature deviation between the future indoor ambient temperature and the historical indoor ambient temperature and the use frequency deviation between the future use frequency and the historical use frequency can be determined.

[0174] In this case, when the target cold quantity is determined, the historical target cold quantity can be corrected according to the ambient temperature deviation to obtain an initial target cold quantity. Then, the initial target cold quantity can be corrected according to the use frequency deviation to obtain the target cold quantity.

[0175] As a correction manner, in the case that the environment temperature deviation is positive, the historical target cold quantity can be corrected upward; in the case that the environment temperature deviation is negative, the historical target cold quantity can be corrected downward.

[0176] As a correction manner, in the case that the usage frequency deviation is positive, the initial target cold quantity can be corrected upward; in the case that the usage frequency deviation is negative, the initial target cold quantity can be corrected downward.

[0177] As another exemplary embodiment, the historical cold quantity consumption related parameter can include a historical indoor environment temperature where the refrigeration module is located, and the future cold quantity consumption related parameter can include a future indoor environment temperature where the refrigeration module is located.

[0178] Based on this, when determining the parameter value deviation, an environment temperature deviation between the future indoor environment temperature and the historical indoor environment temperature can be determined.

[0179] In this case, when determining the target cold quantity, the historical target cold quantity can be corrected according to the environment temperature deviation, to obtain the target cold quantity.

[0180] As a correction manner, in the case that the environment temperature deviation is positive, the historical target cold quantity can be corrected upward; in the case that the environment temperature deviation is negative, the historical target cold quantity can be corrected downward.

[0181] As still another exemplary embodiment, the historical cold quantity consumption related parameter can include a historical usage frequency of the refrigeration module, and the future cold quantity consumption related parameter can include a future usage frequency of the refrigeration module.

[0182] Based on this, when determining the parameter value deviation, a usage frequency deviation between the future usage frequency and the historical usage frequency can be determined.

[0183] In this case, when determining the target cold quantity, the historical target cold quantity can be corrected according to the usage frequency deviation, to obtain the target cold quantity.

[0184] As a correction manner, in the case that the usage frequency deviation is positive, the historical target cold quantity can be corrected upward; in the case that the usage frequency deviation is negative, the historical target cold quantity can be corrected downward.

[0185] Step 403, for each refrigeration module, according to the current cold quantity and the target cold quantity, determine a storage cold quantity required to be stored by the refrigeration module in the future time period.

[0186] In step 404, the consumed power corresponding to the storage cold quantity is predicted, and the consumed power is determined as the first consumed power required by the cold storage medium of the refrigeration module for storing cold in the future time period.

[0187] The steps 403 and 404 are described as follows:

[0188] The storage cold quantity refers to the cold quantity that needs to be stored by the refrigeration module in the future time period to achieve the target storage quantity.

[0189] The consumed power refers to the total power consumed by the cold storage medium for completing the storage of the storage cold quantity in the future time period.

[0190] In this step, after the current cold quantity and the target cold quantity of the cold storage medium in each refrigeration module are determined, the storage cold quantity required by the refrigeration module in the future time period can be determined for each refrigeration module according to the current cold quantity and the target cold quantity corresponding to the refrigeration module.

[0191] As an optional implementation manner, the target cold quantity corresponding to each refrigeration module can be subtracted from the current cold quantity to obtain the storage cold quantity required by the refrigeration module in the future time period.

[0192] Then, the consumed power corresponding to the storage cold quantity can be predicted, and the consumed power is determined as the first consumed power required by the cold storage medium of the refrigeration module for storing cold in the future time period.

[0193] As an optional implementation manner, the historical cold storage data of the cold storage medium in the historical time period can be obtained, and the corresponding relationship between the storage cold quantity and the consumed power can be determined according to the cold storage data. Then, the consumed power corresponding to the storage cold quantity can be determined from the corresponding relationship according to the storage cold quantity.

[0194] The description of the flowchart shown in FIG. 4 is completed. Figure 4

[0195] In an embodiment, when the second consumed power required by each refrigeration module for refrigeration operation in the future time period is predicted, the historical operation data of the refrigeration module can be obtained, and the historical operation data can include the correlation relationship between the indoor environment parameter and the historical consumed power. Based on this, the future weather information in the future time period can be obtained by the execution subject of the embodiment of the present application.

[0196] Then, the indoor environment parameter of the environment where the refrigeration module is located can be determined according to the future weather information, and the second consumed power required by the refrigeration module for refrigeration operation in the future time period can be determined from the correlation relationship according to the indoor environment parameter.

[0197] ​Step 303: determining the required consumption electric energy of each refrigeration module in the future time period according to the first consumption electric energy and the second consumption electric energy corresponding to each refrigeration module.

[0198] The consumption electric energy refers to the total electric energy required for each refrigeration module to run in the future time period.

[0199] In this step, after determining the first consumption electric energy and the second consumption electric energy corresponding to each refrigeration module, the first consumption electric energy and the second consumption electric energy of each refrigeration module are determined according to the first consumption electric energy and the second consumption electric energy of the refrigeration module.

[0200] As an optional implementation manner, the first consumption electric energy and the second consumption electric energy corresponding to each refrigeration module are added to obtain the required consumption electric energy of the refrigeration module in the future time period.

[0201] The technical scheme provided by the embodiment of the application determines the first consumption electric energy required for each cold storage medium to store cold in the future time period, predicts the second consumption electric energy required for each refrigeration module to run in the future time period, and determines the required consumption electric energy of each refrigeration module in the future time period according to the first consumption electric energy and the second consumption electric energy corresponding to each refrigeration module. This technical scheme can accurately match the actual cold storage demand of the cold storage medium by determining the first consumption electric energy based on the cold storage information, avoid waste caused by excessive allocation of electric energy to the cold storage medium with sufficient residual cold, or insufficient allocation of electric energy to the cold storage medium with insufficient residual cold, leading to interruption of subsequent cold supply, effectively solve the problem of uneven distribution of phase change materials in multiple air conditioners, and at the same time, separately predict the second consumption electric energy required for the refrigeration module to run, which can realize fine splitting and accounting of the two types of electric energy demand of cold storage and running, avoid the influence of the stability of cold supply caused by ignoring one type of demand due to general calculation of electric energy demand, further, the total consumption electric energy of each refrigeration module is obtained by summarizing the first and second consumption electric energies, which can enable the control module to comprehensively grasp the complete electric energy demand of each refrigeration module, and then combine the predicted power generation capacity of the photovoltaic module in the future time period to more scientifically formulate an electric energy distribution strategy in the off-grid mode, that is, when the power supply is insufficient, the high-priority module can be preferentially guaranteed in terms of cold storage and running demand according to the total consumption electric energy of each module and the priority, which can avoid waste of cold or local insufficient cold supply, maximize the use of limited photovoltaic electric energy, and ultimately improve the overall cold supply stability and energy efficiency of the system.

[0202] Referring to Figure 5 Another embodiment of the refrigeration module operation control method provided by the embodiment of the application is shown in the flowchart. Figure 5 The flowchart shown in Figure 2 Based on the flowchart shown in the flowchart, this embodiment describes how to provide electric energy for multiple refrigeration modules according to the priority and the consumption electric energy. For example,Figure 5 As shown, the process may include the following steps:

[0203] Step 501: Based on the above priority, divide the multiple refrigeration modules into target refrigeration modules and non-target refrigeration modules.

[0204] The aforementioned target cooling module refers to a cooling module with a priority higher than a preset priority threshold, which is a cooling module that needs to be given priority power to ensure cooling demand.

[0205] The aforementioned non-target refrigeration modules refer to refrigeration modules with a priority lower than or equal to a preset priority threshold.

[0206] In this step, in order to prioritize the cooling needs of high-priority cooling modules, the implementing entity of this application embodiment can divide the cooling modules into target cooling modules and non-target cooling modules according to the priority of each cooling module.

[0207] In one embodiment, for each refrigeration module, it can be determined whether the priority of the refrigeration module is greater than a preset priority threshold.

[0208] Optionally, if the priority is greater than the priority threshold, the refrigeration module can be identified as the target refrigeration module.

[0209] Optionally, if the priority is determined to be less than or equal to the priority threshold, the above-mentioned refrigeration module can be determined as a non-target refrigeration module.

[0210] Furthermore, after dividing the refrigeration modules into target refrigeration modules and non-target refrigeration modules according to the priority of each refrigeration module, in order to prevent the existence of refrigeration modules with insufficient long-term cold storage capacity, the execution subject of this application embodiment can determine the number of times each non-target refrigeration module has been identified as a non-target refrigeration module within a historical time period after determining the non-target refrigeration module.

[0211] Optionally, if the number of times exceeds a preset threshold, the non-target refrigeration module can be updated to the target refrigeration module.

[0212] Step 502: Provide power to the target cooling module based on its power consumption.

[0213] In this step, in order to ensure the cooling needs of high-priority cooling modules, after the execution subject of this application embodiment determines the target cooling modules with high priority, it can directly provide power to each target cooling module according to the power consumption of the target cooling module, thereby ensuring that the target cooling module can meet the cooling needs and achieve the target cooling capacity through the cold storage medium in the future time period.

[0214] Step 503, according to the above power generation capacity, determine the remaining power after providing power to the target refrigeration module.

[0215] Step 504, according to the consumed power of the non-target refrigeration module, determine the power distribution ratio of the non-target refrigeration module.

[0216] Step 505, according to the above power distribution ratio, distribute the remaining power to the non-target refrigeration module.

[0217] The following is a unified description of steps 503 to 505:

[0218] In this step, after providing sufficient power to the target refrigeration module, the remaining power can be used to provide power to other non-target refrigeration modules. Based on this, the execution subject of the embodiment of the present application can determine the remaining power after providing power to the target refrigeration module according to the predicted power generation capacity of the photovoltaic module.

[0219] Then, according to the consumed power of each non-target refrigeration module, the power distribution ratio of the non-target refrigeration module can be determined.

[0220] As an exemplary embodiment, the consumed power of each non-target refrigeration module can be determined, and the power distribution ratio corresponding to the consumed power of all non-target refrigeration modules can be determined. Then, the above power distribution ratio can be determined as the above power distribution ratio.

[0221] Then, according to the above power distribution ratio, the remaining power can be distributed to the non-target refrigeration module.

[0222] In addition, in an embodiment, for the non-target refrigeration module, the remaining power can also be evenly distributed to each non-target refrigeration module.

[0223] The technical scheme provided by the embodiments of the present application divides the plurality of refrigeration modules into target refrigeration modules and non-target refrigeration modules according to the priority, provides the target refrigeration modules with electric energy according to the consumed electric energy of the target refrigeration modules, determines the residual electric energy after the target refrigeration modules are provided with electric energy according to the electric generation capacity, determines the electric energy distribution ratio of the non-target refrigeration modules according to the consumed electric energy of the non-target refrigeration modules, and distributes the residual electric energy to the non-target refrigeration modules according to the electric energy distribution ratio. This technical scheme can directly guarantee the cooling demand of the key area by preferentially providing the target refrigeration modules with electric energy, and avoid the problem of insufficient cooling of the key area caused by no priority division in the traditional scheme. At the same time, the residual electric energy is calculated after the target module demand is met, so as to maximize the use of limited photovoltaic electric energy and avoid the shortage of target module electric energy caused by preferential distribution of non-key modules. In addition, the distribution ratio is determined according to the consumed electric energy of the non-target modules instead of evenly distributing the residual electric energy, so as to match the electric energy distribution with the actual demand of the non-target modules, avoid the waste of cooling capacity caused by the mismatch between demand and electric energy among the non-target modules, and thus realize the optimal scheduling of photovoltaic electric energy among multiple modules, taking into account the cooling guarantee of the key area and the efficient use of overall energy.

[0224] Referring to Figure 6 An embodiment flowchart of a method for operating a refrigeration system is also provided in the embodiments of the present application. Figure 6 The flowchart shows how to control the refrigeration system when the refrigeration system is an air conditioning system, and the air conditioning system includes a photovoltaic panel (photovoltaic module), an energy storage module, a control module, and multiple air conditioning units (refrigeration modules) with phase change material modules (cold storage medium). Figure 6 As shown in the figure, the flowchart can include the following contents:

[0225] The embodiments of the present application provide an air conditioning system based on photovoltaic power generation and phase change material distribution, which mainly includes a photovoltaic panel, an energy storage module, a control module, and multiple air conditioning units with phase change material modules.

[0226] Based on this, the operation of the air conditioning system can be divided into two modes: grid-connected and off-grid. In the grid-connected mode, the air conditioning system preferentially uses photovoltaic power supply, and the excess electric energy can be fed back to the power grid; in the off-grid mode, the system enters the phase change material coordinated distribution stage.

[0227] In the off-grid mode, the control module collects the current phase change material state (such as residual cooling capacity), environmental temperature, air conditioning load demand and other parameters of each air conditioner in real time, and combines the future 1-2 hours of power generation prediction data provided by the photovoltaic power generation prediction module to formulate a phase change material distribution strategy.

[0228] Optionally, when it is predicted that the photovoltaic power generation is sufficient, the control module sends instructions to the phase change material modules of each air conditioner to synchronize the cold storage operation, so as to maximize the use of photovoltaic power.

[0229] Optionally, when it is predicted that the photovoltaic power supply is insufficient, the control module predicts the demand of each air conditioning unit according to the historical load data of each air conditioner. Then, the priority of the air conditioner can be dynamically adjusted according to the user setting or the regional use frequency. When the cold storage resource is limited, the cold storage of the air conditioner with high priority is guaranteed. For example, the office area is given priority during the day, and the residential area is given priority at night, so as to realize more refined energy management and user comfort guarantee. It is determined which air conditioner has more critical cooling demand, and the photovoltaic power generation resource is preferentially allocated to the phase change material module of the critical air conditioner, so as to guarantee the cooling capacity of the air conditioner in the power valley period. The remaining resources are allocated to the phase change material modules of each air conditioner according to the future predicted cooling demand of each non-critical air conditioner. The remaining photovoltaic power generation resources are allocated to the phase change material modules of each air conditioner in proportion to the cooling demand.

[0230] In an embodiment, the air conditioning system is connected through a communication bus for data interaction between each air conditioner, and the control module adopts a centralized control strategy to ensure the reasonable allocation of the phase change material between each air conditioner, so as to avoid the situation that the phase change material module of one air conditioner is exhausted while another air conditioner still has reserves, thereby improving the cooling stability and energy utilization rate of the whole system.

[0231] In addition, in an embodiment, on the basis of the original air conditioning system, an intelligent phase change material module with self-adaptive adjustment capability can be used. The module can automatically adjust the release rate of the phase change material according to the real-time temperature change, reducing manual intervention. For example, when it is detected that the indoor temperature fluctuates greatly, the intelligent module automatically increases the cold release speed to quickly respond to the load change and improve the cooling efficiency.

[0232] In addition, in an embodiment, the centralized control can be changed to a distributed control mode, and each air conditioning unit is provided with a control node. The nodes communicate with each other through a communication protocol to negotiate and allocate the phase change material demand. Each air conditioner independently calculates the optimal phase change material allocation ratio according to its own load demand and the state information of the neighbor air conditioner, so as to improve the response speed and allocation efficiency of the system.

[0233] The technical scheme provided by the embodiments of the present application can make the distribution ratio of phase change material modules between two or more air conditioners tend to be balanced, effectively avoid the waste of cold energy or the insufficient supply of cold energy in local areas caused by uneven distribution, and improve the overall stability of the system. At the same time, by combining the photovoltaic power generation prediction in the next 1-2 hours, the PCM cold storage rhythm is adjusted in advance, so that the system can preferentially store cold at the same time when the photovoltaic power supply is sufficient, and the energy storage efficiency is improved. When the power supply is insufficient, the resources are concentrated to the air conditioners with higher demand, and the cooling demand of the key area is ensured, so as to realize the optimal utilization of energy, improve the adaptability and energy efficiency of the system.

[0234] Referring to Figure 7 An embodiment block diagram of a running control device of a refrigeration system is provided in the embodiments of the present application. As an embodiment, the device can be applied to a refrigeration system, which can include a photovoltaic module and a plurality of refrigeration modules containing cold storage medium. As shown in Figure 7 The device can include:

[0235] A first prediction module 71 is configured to predict the power generation capacity of the photovoltaic module in a preset future time period;

[0236] A second prediction module 72 is configured to obtain the cold storage information of the cold storage medium in each refrigeration module, and predict the required consumed power of each refrigeration module in the future time period according to the cold storage information;

[0237] A priority determination module 73 is configured to determine the priority of each refrigeration module in the case that the power generation capacity cannot meet the corresponding consumed power of each refrigeration module;

[0238] A power supply module 74 is configured to provide power for a plurality of refrigeration modules according to the priority and the consumed power.

[0239] As shown in Figure 8 An embodiment of a control device provided in the embodiments of the present application includes a processor 81, a communication interface 82, a memory 83 and a communication bus 84, wherein the processor 81, the communication interface 82 and the memory 83 complete mutual communication through the communication bus 84,

[0240] The memory 83 is configured to store a computer program;

[0241] In an embodiment of the present application, the processor 81 is configured to execute the program stored in the memory 83, and realize the running control method of the refrigeration system provided in any one of the preceding method embodiments. The method can be applied to a refrigeration system, which can include a photovoltaic module and a plurality of refrigeration modules containing cold storage medium, and includes:

[0242] predicting power generation capability of the photovoltaic module in a preset future time period;

[0243] obtaining cold storage information of the cold storage medium in each of the refrigeration modules, and predicting required consumed electric energy of each of the refrigeration modules in the future time period according to the cold storage information;

[0244] in a case where it is determined that the power generation capability cannot meet the corresponding consumed electric energy of each of the refrigeration modules, determining a priority of each of the refrigeration modules;

[0245] providing electric energy for the plurality of refrigeration modules according to the priority and the consumed electric energy.

[0246] Referring to Figure 9 Another structural schematic diagram of a refrigeration system is provided in the embodiments of the present application. As shown in Figure 9 , the refrigeration system 90 can include a photovoltaic module 91, a plurality of refrigeration modules 92 containing cold storage medium, and a control device 93.

[0247] The photovoltaic module can be used to provide electric energy for each of the refrigeration modules.

[0248] The refrigeration module 92 can be used to refrigerate indoor environment and store electric energy as cold energy through the cold storage medium.

[0249] The control device 93 can be the control device shown in Figure 8 .

[0250] The embodiments of the present application further provide an energy-saving air conditioner, which can include the refrigeration system shown in Figure 9 .

[0251] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the operation control method of the refrigeration system provided in any one of the preceding method embodiments.

[0252] The device embodiments described above are only schematic, and the units shown as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., they can be located in one place, or distributed on multiple network units. According to actual needs, part or all of the modules can be selected to achieve the purpose of the embodiments of the present application.

[0253] Those skilled in the art can clearly understand the implementation of the embodiments by the description of the above embodiments. The embodiments can be implemented by means of software plus a general hardware platform, and of course, can also be implemented by hardware. Based on such understanding, the above technical solutions, essentially or in terms of related art, can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, and the like, and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0254] It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises", "comprising", "includes", "including" and "has" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and / or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order in which they are described unless specifically indicated as such. It is also to be understood that additional or alternative steps can be employed.

[0255] The above description is merely that of specific embodiments of the present application, making it possible for those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the generic principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Accordingly, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of operating control of a refrigeration system, characterized by, The refrigeration system comprises a photovoltaic module and a plurality of refrigeration modules containing cold storage medium, and the method comprises: predicting power generation capacity of the photovoltaic module in a preset future time period; obtaining cold storage information of the cold storage medium in each refrigeration module, and predicting required power consumption of each refrigeration module in the future time period according to the cold storage information; in a case where it is determined that the power generation capacity cannot meet the corresponding power consumption of each refrigeration module, determining a priority of each refrigeration module; providing power for a plurality of refrigeration modules according to the priority and the power consumption, comprising: dividing a plurality of refrigeration modules into target refrigeration modules and non-target refrigeration modules according to the priority; providing power for the target refrigeration modules according to the power consumption of the target refrigeration modules, and determining residual power after providing power for the target refrigeration modules according to the power generation capacity; determining an energy distribution ratio of the non-target refrigeration modules according to the power consumption of the non-target refrigeration modules; and distributing the residual power to the non-target refrigeration modules according to the energy distribution ratio; wherein the step of predicting required power consumption of each refrigeration module in the future time period according to the cold storage information comprises: determining first power consumption required for each cold storage medium to store cold in the future time period according to the cold storage information; predicting second power consumption required for each refrigeration module to run in the future time period; determining required power consumption of each refrigeration module in the future time period according to the first power consumption and the second power consumption corresponding to each refrigeration module.

2. The method of claim 1, wherein, The step of determining first power consumption required for each cold storage medium to store cold in the future time period according to the cold storage information comprises: determining current cold storage of each cold storage medium according to the cold storage information; predicting target cold consumption of each refrigeration module when consuming cold in the corresponding cold storage medium; for each refrigeration module, determining storage cold required to be stored by the refrigeration module in the future time period according to the current cold storage and the target cold consumption; predicting power consumption corresponding to the storage cold, and determining the power consumption as the first power consumption required for the corresponding cold storage medium of the refrigeration module to store cold in the future time period.

3. The method of claim 2, wherein, The step of predicting target cold consumption of each refrigeration module when consuming cold in the corresponding cold storage medium comprises: for each refrigeration module, obtaining historical target cold consumption of the refrigeration module when consuming cold in the corresponding cold storage medium in a historical time period, and a historical cold consumption correlation parameter of the refrigeration module in the historical time period; wherein the historical time period is a historical same period time period of the future time period; predicting a future cold consumption correlation parameter of the refrigeration module in the future time period; determining a parameter value deviation between the future cold consumption correlation parameter and the historical cold consumption correlation parameter; According to the parameter value deviation, the historical target cold quantity is corrected to obtain a target cold quantity required by the refrigeration module when consuming cold quantity in the corresponding cold storage medium.

4. The method of claim 3, wherein, The historical cold quantity consumption related parameters include a historical indoor environment temperature where the refrigeration module is located and a historical usage frequency of the refrigeration module, and the future cold quantity consumption related parameters include a future indoor environment temperature where the refrigeration module is located and a future usage frequency of the refrigeration module. The parameter value deviation between the future cold quantity consumption related parameters and the historical cold quantity consumption related parameters is determined, including: An environment temperature deviation between the future indoor environment temperature and the historical indoor environment temperature is determined, and a usage frequency deviation between the future usage frequency and the historical usage frequency is determined. According to the environment temperature deviation, the historical target cold quantity is corrected to obtain an initial target cold quantity. According to the usage frequency deviation, the initial target cold quantity is corrected to obtain the target cold quantity. The priority of each refrigeration module is determined, including:

5. The method of claim 1, wherein, A usage frequency and a running load of each refrigeration module in a preset historical time period are obtained; the preset historical time period is a same time period as the future time period in a historical time period; According to the usage frequency and the running load, the priority of each refrigeration module is determined. The priority of each refrigeration module is determined, including:

6. The method of claim 1, wherein, A refrigeration area where each refrigeration module is located is determined; A corresponding time period when each refrigeration module consumes the corresponding cold storage medium is predicted; According to the refrigeration area and the time period, the priority of each refrigeration module is determined. The cold storage medium is a smart phase change material module; the method further includes:

7. The method of claim 1, wherein, In a case where any refrigeration module is refrigerated by the corresponding smart phase change material module, an indoor temperature fluctuation amplitude of the area where the corresponding refrigeration module is located detected by the smart phase change material module is obtained; In a case where it is determined that the temperature fluctuation amplitude is greater than a preset fluctuation threshold, the smart phase change material module is controlled to increase a cold quantity release rate; In a case where it is determined that the temperature fluctuation amplitude is less than the preset fluctuation threshold, the smart phase change material module is controlled to reduce the cold quantity release rate. The method further includes:

8. The method of claim 1, wherein, An actual power generation capacity of the photovoltaic module is obtained, and a power generation quantity deviation between the actual power generation capacity and the predicted power generation capacity is determined; In a case where it is determined that the power generation quantity deviation is greater than a preset deviation threshold, the consumed electric energy required by each refrigeration module in the remaining future time period is re-predicted. Each refrigeration module is built-in a control unit, the control unit is used for controlling the corresponding cold storage medium to store cold or release cold, and each control unit interacts through a preset communication protocol, wherein, in a case where any control unit detects that an adjacent control unit fails, the control unit controls the corresponding cold storage medium of the failed control unit to store cold or release cold.

9. The method of claim 1, wherein, ​ 10. An operation control device of a refrigeration system, characterized by comprising: The refrigeration system comprises a photovoltaic module and a plurality of refrigeration modules containing cold storage medium, and the device comprises: a first prediction module configured to predict power generation capacity of the photovoltaic module in a preset future time period; a second prediction module configured to obtain cold storage information of the cold storage medium in each of the refrigeration modules, and predict consumed power required by each of the refrigeration modules in the future time period according to the cold storage information; a priority determination module configured to determine priority of each of the refrigeration modules in a case where the power generation capacity fails to meet the consumed power corresponding to each of the refrigeration modules; a power supply module configured to supply power to the plurality of refrigeration modules according to the priority and the consumed power, including: dividing the plurality of refrigeration modules into target refrigeration modules and non-target refrigeration modules according to the priority; supplying power to the target refrigeration modules according to the consumed power of the target refrigeration modules, and determining residual power after the target refrigeration modules are supplied with power according to the power generation capacity; determining power distribution ratio of the non-target refrigeration modules according to the consumed power of the non-target refrigeration modules; and distributing the residual power to the non-target refrigeration modules according to the power distribution ratio; wherein the second prediction module is configured to predict the consumed power required by each of the refrigeration modules in the future time period according to the cold storage information, including: determining first consumed power required by each of the cold storage medium for cold storage in the future time period according to the cold storage information; predicting second consumed power required by each of the refrigeration modules for refrigeration operation in the future time period; determining the consumed power required by each of the refrigeration modules in the future time period according to the first consumed power and the second consumed power corresponding to each of the refrigeration modules.

11. A control device, characterized by comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory is configured to store a computer program; and the processor is configured to execute the computer program to implement the operation control method of the refrigeration system according to any one of claims 1-9.

12. A refrigeration system characterized by, The refrigeration system comprises a photovoltaic module, a plurality of refrigeration modules containing cold storage medium, and a control device; the photovoltaic module is configured to supply power to each of the refrigeration modules; the refrigeration module is configured to refrigerate indoor environment and store power converted into cold energy by the cold storage medium; the control device is the control device according to claim 11.

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