CN118654373A

CN118654373A - Operation control method and device of cooling system, electronic equipment and storage medium

Info

Publication number: CN118654373A
Application number: CN202411113521.8A
Authority: CN
Inventors: 王朝晖; 王昭强; 旷金国; 陆春富
Original assignee: Shenzhen Qianhai Energy Technology Development Co ltd
Current assignee: Shenzhen Qianhai Energy Technology Development Co ltd
Priority date: 2024-08-14
Filing date: 2024-08-14
Publication date: 2024-09-17
Anticipated expiration: 2044-08-14

Abstract

The embodiment of the application provides an operation control method and device of a cooling system, electronic equipment and a storage medium, and belongs to the technical field of air conditioning. The method comprises the following steps: firstly, cooling demand data of a cooling system in a preset cooling period and equipment configuration data of the cooling system are obtained, then, the system working state of the cooling system is determined according to flat section load demand data, peak section load demand data, refrigeration capacity and cold storage capacity, then, a first equipment operation parameter of the refrigeration equipment is determined according to the system working state, then, refrigeration capacity data of the refrigeration equipment is calculated according to the first equipment operation parameter, then, a second equipment operation parameter of the cold storage equipment is determined according to the refrigeration capacity data, the cold storage capacity, the flat section load demand data and the peak section load demand data, and finally, the operation control of the cooling system is carried out according to the first equipment operation parameter and the second equipment operation parameter. The embodiment of the application can realize the efficient operation of the cooling system.

Description

Operation control method and device of cooling system, electronic equipment and storage medium

Technical Field

The present application relates to the field of air conditioning technologies, and in particular, to an operation control method and apparatus for a cooling system, an electronic device, and a storage medium.

Background

In the related art, an operation strategy of the cooling system is formulated by using manual experience. However, the working of the operation strategy needs to consider various factors such as the combined configuration of the refrigeration equipment and the cold storage equipment, the cooling load in unit time and the like, so that the working difficulty of the operation strategy is high, and the optimal operation of the cooling system cannot be realized. Therefore, how to improve the operation efficiency of the cooling system is a urgent problem to be solved.

Disclosure of Invention

The embodiment of the application mainly aims to provide an operation control method and device of a cooling system, electronic equipment and storage medium, and aims to realize efficient operation of the cooling system.

To achieve the above object, a first aspect of an embodiment of the present application provides an operation control method of a cooling system, including:

Acquiring cooling demand data of a cooling system in a preset cooling period and equipment configuration data of the cooling system; wherein the cooling system comprises a refrigeration device and a cold accumulation device; the cooling demand data is the sum of flat section load demand data and peak section load demand data; the device configuration data includes a cooling capacity of the cooling device and a cold storage capacity of the cold storage device;

Determining a system working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity;

Determining a first equipment operation parameter of the refrigeration equipment according to the system working state;

Calculating refrigerating capacity data of the refrigerating equipment according to the first equipment operation parameters; the refrigeration capacity data is less than or equal to the refrigeration capacity;

Determining a second equipment operating parameter of the cold storage equipment according to the refrigerating capacity data, the cold storage capacity, the flat section load demand data and the peak section load demand data;

performing operation control on the cooling system according to the first equipment operation parameter and the second equipment operation parameter; wherein the first device operating parameter is used to control operation of the refrigeration device and the second device operating parameter is used to control operation of the cold storage device.

In some embodiments, the determining the system operating state of the cooling system according to the flat section load demand data, the peak section load demand data, the cooling capacity, and the cold storage capacity includes:

Determining a flat section working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity;

Determining a peak section working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity;

and taking the flat section working state and the peak section working state as the system working state.

In some embodiments, the flat section load demand data includes a target flat section load, and determining the flat section operating state of the cooling system according to the flat section load demand data, the peak section load demand data, the cooling capacity, and the cold storage capacity includes:

if the cold accumulation capacity is smaller than the cold supply demand data, comparing the target flat section load with the refrigeration capacity;

If the target flat section load is smaller than or equal to the refrigeration capacity and the cold storage capacity is smaller than or equal to the peak section load demand data, determining that the flat section working state is a refrigeration equipment cold supply mode;

and if the target flat load is larger than the refrigerating capacity, determining that the flat working state is a first combined cooling mode.

In some embodiments, the flat section load demand data includes a target flat section load, and determining the peak section operating state of the cooling system according to the flat section load demand data, the peak section load demand data, the cooling capacity, and the cold storage capacity includes:

If the cold storage capacity is smaller than the cold supply demand data and the target flat section load is larger than the refrigeration capacity, performing cold supply calculation according to the cold storage capacity, the refrigeration capacity and the flat section load demand data to obtain peak section cold supply of the cold storage equipment;

and if the peak section cooling capacity is smaller than the peak section load demand data and the peak section cooling capacity is non-zero, determining that the working state of the peak section is a second combined cooling mode.

In some embodiments, the determining the first device operating parameter of the refrigeration device according to the system operating state includes:

Acquiring initial cooling time length and initial refrigeration equipment quantity according to the working state of the system;

Performing energy efficiency evaluation on the initial cooling duration, the initial refrigeration equipment number and the refrigeration capacity through a refrigeration energy efficiency evaluation model to obtain an energy efficiency score of the refrigeration equipment;

and selecting the initial cooling time length and the initial refrigerating equipment number with the maximum energy efficiency score as the first equipment operation parameters.

In some embodiments, the energy efficiency evaluation on the initial cooling duration, the initial number of refrigeration devices and the refrigeration capacity through the refrigeration energy efficiency evaluation model, to obtain an energy efficiency score of the refrigeration device, includes:

Determining refrigeration load data of the refrigeration equipment according to the initial refrigeration time length, the initial refrigeration equipment number and the refrigeration capacity;

and carrying out energy efficiency evaluation on the refrigeration load data through the refrigeration energy efficiency evaluation model to obtain the energy efficiency score.

In some embodiments, the determining a second plant operating parameter of the cold storage plant based on the refrigeration capacity data, the cold storage capacity, the flat section load demand data, and the peak section load demand data comprises:

Determining a target cooling capacity of the cold storage device according to the flat section load demand data, the peak section load demand data and the cooling capacity data;

and if the target cooling capacity is smaller than the cold storage capacity, taking the target cooling capacity as the second equipment operation parameter.

To achieve the above object, a second aspect of the embodiments of the present application provides an operation control device of a cooling system, the device including:

The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring cooling demand data of a cooling system in a preset cooling period and equipment configuration data of the cooling system; wherein the cooling system comprises a refrigeration device and a cold accumulation device; the cooling demand data is the sum of flat section load demand data and peak section load demand data; the device configuration data includes a cooling capacity of the cooling device and a cold storage capacity of the cold storage device;

The working state determining module is used for determining the system working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity;

the first parameter determining module is used for determining a first equipment operation parameter of the refrigeration equipment according to the working state of the system;

The refrigerating capacity calculation module is used for calculating refrigerating capacity data of the refrigerating equipment according to the first equipment operation parameters; the refrigeration capacity data is less than or equal to the refrigeration capacity;

A second parameter determination module configured to determine a second device operating parameter of the cold storage device according to the refrigeration capacity data, the cold storage capacity, the flat section load demand data, and the peak section load demand data;

the control module is used for performing operation control on the cooling system according to the first equipment operation parameter and the second equipment operation parameter; wherein the first device operating parameter is used to control operation of the refrigeration device and the second device operating parameter is used to control operation of the cold storage device.

To achieve the above object, a third aspect of the embodiments of the present application proposes an electronic device, including a memory storing a computer program and a processor implementing the method according to the first aspect when the processor executes the computer program.

To achieve the above object, a fourth aspect of the embodiments of the present application proposes a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method of the first aspect.

According to the operation control method and device of the cooling system, the electronic equipment and the storage medium, the necessary basic data are provided for subsequent strategy formulation by acquiring the cooling demand data and the equipment configuration data in the preset cooling period. And then accurately planning the working state of the cooling system by analyzing the relation between the flat section load demand data and the peak section load demand data and the relation between the refrigerating capacity and the cold storage capacity. And then, based on the working state of the system, respectively determining the operation parameters and the refrigerating capacity data of the refrigerating equipment. And then, the operation parameters of the cold storage equipment are further determined by combining the cold storage capacity of the cold storage equipment, the flat section load demand data, the peak section load demand data and the refrigerating capacity data of the refrigerating equipment. And finally, accurately controlling the cooling system according to the first equipment operation parameters of the refrigeration equipment and the second equipment operation parameters of the cold accumulation equipment, so that the system can realize the optimization of energy consumption and cost while meeting the cooling requirement, and the operation efficiency of the cooling system is improved.

Drawings

FIG. 1 is a flow chart of a method for controlling the operation of a cooling system according to an embodiment of the present application;

Fig. 2 is a flowchart of step S102 in fig. 1;

Fig. 3 is a flowchart of step S201 in fig. 2;

fig. 4 is a flowchart of step S202 in fig. 2;

fig. 5 is a flowchart of step S103 in fig. 1;

Fig. 6 is a flowchart of step S502 in fig. 5;

fig. 7 is a flowchart of step S105 in fig. 1;

FIG. 8 is a schematic diagram of a configuration of an operation control device according to an embodiment of the present application;

Fig. 9 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.

First, several nouns involved in the present application are parsed:

Cold storage capacity: the cold storage capacity refers to the capacity of cold storage devices (e.g., ice and cold water storage systems) capable of storing and releasing cold in a refrigeration system. The system is generally used for load regulation or standby cooling so as to improve the system operation efficiency and reduce the operation cost. The cold accumulation system is used for refrigerating at the electricity consumption valley section (usually at night) so as to store cold energy, and is used for releasing the cold energy at the electricity consumption peak section (usually at daytime) so as to meet the cooling requirement, thus not only balancing the load of a power grid, but also utilizing the advantage of lower electricity price at night and reducing the running cost.

Refrigeration installed capacity: the total refrigeration capacity, typically in kilowatts (kW) or tons (RT), of all refrigeration equipment (e.g., a refrigeration unit) in a refrigeration system is indicative of the maximum refrigeration capacity that the system can provide under certain operating conditions.

Coefficient of refrigeration performance (Coefficient of Performance, COP): refers to the cold energy obtained by unit power consumption, and is an important technical and economic index of a refrigeration system. The high refrigeration performance coefficient indicates that the energy utilization efficiency of the refrigeration system is high.

In the related art, an operation strategy of a cooling system is formulated by using artificial experience, and the formulation of the operation strategy needs to consider multiple factors such as combined configuration of a cooling device and a cold storage device, cooling load of unit time and the like, the system operation mode may not be strictly divided due to experience, various possible modes are not covered, the definition of the operation mode is not clear, and the problems of inaccurate quantitative expression and the like are not solved, specifically, the refrigeration installed capacity and the cold storage capacity of different systems have different operation modes when the same cooling required load is met, and under the same refrigeration machine capacity and cold storage capacity configuration, different cooling required loads also cause different operation modes of the cooling system, but the prior art does not accurately quantitatively express the operation modes, so that the formulation difficulty of the operation strategy is high, and the cooling system cannot realize optimal operation.

Therefore, how to improve the operation efficiency of the cooling system is a urgent problem to be solved.

Based on the above, the embodiment of the application provides a method and a device for controlling the operation of a cooling system, electronic equipment and a storage medium, aiming at realizing the efficient operation of the cooling system.

The operation control method and device, the electronic device and the storage medium provided by the embodiment of the application are specifically described through the following embodiments, and the operation control method in the embodiment of the application is described first.

Fig. 1 is an optional flowchart of a method for controlling operation of a cooling system according to an embodiment of the present application, where the method in fig. 1 may include, but is not limited to, steps S101 to S106.

Step S101, obtaining cooling demand data of the cooling system in a preset cooling period and equipment configuration data of the cooling system.

Step S102, determining the system working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity.

Step S103, determining a first equipment operation parameter of the refrigeration equipment according to the system working state.

Step S104, the refrigerating capacity data of the refrigerating equipment is calculated according to the first equipment operation parameters.

Step S105, determining a second equipment operation parameter of the cold storage equipment according to the refrigeration capacity data, the cold storage capacity, the flat section load demand data and the peak section load demand data.

And step S106, performing operation control on the cooling system according to a first equipment operation parameter and a second equipment operation parameter, wherein the first equipment operation parameter is used for controlling the operation of the refrigeration equipment, and the second equipment operation parameter is used for controlling the operation of the cold storage equipment.

In step S101 to step S106 shown in the embodiment of the present application, first, in step S101, necessary basic data is provided for subsequent policy formulation by acquiring cooling demand data and equipment configuration data in a preset cooling period. Next, in step S102, the working state of the cooling system is accurately planned by analyzing the relationship between the flat load demand data and the peak load demand data, and the cooling capacity and the cold storage capacity. Step S103 and step S104 determine the operation parameters and the refrigeration capacity data of the refrigeration equipment, respectively, based on the system operation state. Then, in step S105, the cold storage capacity of the cold storage device, the flat load demand data, the peak load demand data, and the refrigeration capacity data of the refrigeration device are combined, and the operation parameters of the cold storage device are further determined. Finally, step S106 precisely controls the cooling system according to the first device operation parameter of the refrigeration device and the second device operation parameter of the cold storage device, so that the system can optimize energy consumption and cost while meeting the cooling requirement, thereby improving the operation efficiency of the cooling system.

In step S101 of some embodiments, the cooling system includes at least one refrigeration device and at least one cold storage device, and the device configuration data includes a refrigeration capacity of the refrigeration device and a cold storage capacity of the cold storage device.

The cooling demand data, that is, the cooling capacity required by the current area all day by all day, may be represented by a change curve, and may be represented in a table form. The cooling demand data can be obtained by prediction through the deep learning neural network according to the historical data, or can be obtained by manual input, and the method is not limited to the method. The preset cooling period is the time for cooling cold storage equipment and/or refrigeration equipment in the cooling system, and can be a power consumption level section and a power consumption peak section of the current area, and the specific time of the power consumption level section and the power consumption peak section can be set according to the power consumption conditions of different areas. The embodiment of the application does not strictly limit the specific time of the preset cooling period, and in this embodiment, the preset cooling period is illustratively seven to twenty-three points on the same day, and it can be understood that the cold storage device stores the cold storage amount from twenty-three points to seven points on the next day.

Referring to fig. 2, in some embodiments, step S102 may include, but is not limited to, steps S201 to S203:

Step S201, determining the flat section working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity.

Step S202, determining the peak working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity.

Step S203, taking the flat section working state and the peak section working state as the system working state.

In step S201 of some embodiments, the cooling demand data is the sum of the flat load demand data and the peak load demand data, and may be calculated by the analytical formula (1).

（1），

Wherein E0 represents the data of the cooling demand, the flat represents the level section, the peak represents the electricity peak section, Q (ti) represents the time ti, the corresponding cooling demand load can be in kilowatts,For a preset time period, the unit is hour, in the embodiment of the application, the preset time periodFor one hour.

It should be noted that, the cooling demand corresponding to the level segment in the preset cooling period is the flat segment load demand data, and can be resolvedAnd (5) expression. The cooling demand corresponding to the electricity consumption peak section in the preset cooling period is peak section load demand data, and can be analyzedAnd (5) expression. The refrigeration capacity, the refrigeration capacity of the above-described noun interpretation section, is in kilowatts. When the cooling system is in a power utilization peak section, the running states of the cooling equipment and the cold storage equipment in the system are peak section working states.

Referring to fig. 3, in some embodiments, step S201 may include, but is not limited to, steps S301 to S303:

In step S301, if the cold storage capacity is smaller than the cold supply demand data, the target flat load and the refrigeration capacity are compared.

Step S302, if the target flat load is smaller than or equal to the refrigeration capacity and the cold storage capacity is smaller than or equal to the peak load demand data, determining that the flat working state is the refrigeration mode of the refrigeration equipment.

Step S303, if the target flat load is greater than the refrigeration capacity, determining that the flat working state is the first combined cooling mode.

In step S301 of some embodiments, the flat load demand data includes a target flat load, i.e., a maximum cooling demand load of the cooling system within the usage level segment, which may be resolvedAnd (5) expression.

It should be noted that, if the cold storage capacity is smaller than the cold supply demand data, that is, the total cold storage capacity stored in the cold storage device cannot cover the total cold supply demand of the preset cold supply period, the refrigeration device needs to be turned on to supply cold to reach the cold supply demand, and when and how many refrigeration devices are turned on will be described in detail in the following embodiments. It can be understood that if the cold storage capacity is greater than or equal to the cold supply demand data, it is indicated that the cold storage capacity pre-stored in the cold storage device can cover all the cold supply demands of the preset cold supply period, at this time, the system working state of the preset cold supply period can be directly determined to be a full-release cold mode, that is, the flat section working state and the peak section working state are both determined to be the full-release cold mode, at this time, only the cold storage device is used for cooling, and the refrigeration device does not need to perform cold supply work, and does not need to perform subsequent steps.

In step S302 of some embodiments, it should be noted that, the electricity price of the electricity consumption peak section is greater than the electricity price of the electricity consumption level section, and the electricity price of the electricity consumption level section is also greater than the electricity price of the cold storage device for the cold storage period, so the cold storage device is preferably used for cooling, and if the refrigeration device is required to be used (i.e. the cold storage capacity is smaller than the cold storage requirement data), the preferential cold storage device is also used for cooling in the electricity consumption peak section, so as to save economic cost.

It will be appreciated that if the target flat load is less than or equal to the cooling capacity, it may be determined that cooling with the refrigeration equipment at the active level segment is sufficient to meet the cooling demand of the active level segment. And judging cold storage capacity and peak load demand data, and determining that the flat section working state is a refrigeration equipment cooling mode if the cold storage capacity is smaller than or equal to the peak load demand data at the moment, wherein the working state of cooling the current area by the refrigeration equipment is the refrigeration equipment cooling mode. On the premise that the target flat section load is smaller than or equal to the refrigeration capacity, when the cold storage capacity is equal to the peak section load demand, it can be determined that the cold storage capacity stored in advance by the cold storage device just can meet the cold supply demand of the electricity peak section, so that no redundant cold storage capacity can be provided by the cold storage device in the electricity level section, the flat section working state is determined to be the refrigeration mode of the refrigeration device at the moment, the refrigeration device operates according to the maximum cold supply capacity, namely, all the refrigeration devices in the refrigeration system are started, and the operation duration is equal to the electricity level section.

In addition, when the target flat section load is smaller than or equal to the refrigeration capacity and when the cold storage capacity is smaller than the peak section load demand, it can be determined that the cold storage amount pre-stored by the cold storage device cannot meet the cold supply demand of the electricity peak section, so that no redundant cold storage amount can be provided by the cold storage device in the electricity level section, and at the moment, the flat section working state is determined to be the refrigeration mode of the refrigeration device. On the premise that the cold storage capacity is smaller than the peak load demand, the peak minimum cold supply capacity provided by the cold storage equipment to meet the cold supply demand in the electricity consumption peak section is also considered, and the peak minimum cold supply capacity can be calculated by an analytical formula (2):

（2），

Wherein Q (ti) represents the time ti, and the unit of the corresponding cooling demand load can be kilowatts. For a preset period of time, in hours. Q _R0 denotes the refrigeration capacity in kw.For a preset time period, the unit is hour, in the embodiment of the application, the preset time periodFor one hour. When the cold storage capacity is greater than or equal to the minimum cold supply capacity of the peak section, the flat section working state can be determined to be the cold supply mode of the refrigeration equipment, and if the cold storage capacity is smaller than the minimum cold supply capacity of the peak section, the configuration of the current cold supply system is indicated that the current cold supply system has no way to meet the current cold supply requirement, and the cold supply system needs to be increased to increase the refrigeration capacity, such as the refrigeration capacity of a single refrigeration equipment or the number of refrigeration equipment.

If the cold accumulation capacity is larger than the peak load demand data, the cold accumulation capacity stored in advance by the cold accumulation device can meet the cold supply demand of the electricity consumption peak section, and the redundant cold accumulation capacity can be used in the electricity consumption level section, and the flat section working state is determined to be in a combined cold supply mode at the moment, namely the cold accumulation device and the cold supply device supply cold simultaneously.

In step S303 of some embodiments, if the target flat load is greater than the refrigeration capacity, the flat operation state is determined to be the first combined cooling mode. The first combined cooling mode is a working mode in which the cold accumulation device and the cooling device simultaneously perform cooling, and the refrigerator performs cooling according to the maximum cooling capacity. It can be understood that when the target flat load is greater than the refrigeration capacity, it indicates that if only the refrigeration equipment is controlled to supply cold in the use level section, even if the refrigeration equipment cannot supply cold according to the maximum cold supply capacity, the refrigeration equipment is required to provide a certain cold storage amount, so that the flat working state can be directly determined to be the first combined cold supply mode.

According to the steps S301 to S303 shown in the embodiment of the application, different operation modes of the cooling system in the use level section are accurately divided according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity, so that the operation efficiency and the flexibility of the cooling system are improved, the energy utilization is optimized, and the unnecessary energy consumption and the power cost are reduced.

Referring to fig. 4, in some embodiments, step S202 may include, but is not limited to, steps S401 to S402:

And step S401, if the cold storage capacity is smaller than the cold supply demand data and the target flat load is larger than the refrigeration capacity, the cold supply capacity calculation is performed according to the cold storage capacity, the refrigeration capacity and the flat load demand data, and the peak section cold supply capacity of the cold storage equipment is obtained.

Step S402, if the peak cooling capacity is smaller than the peak load demand data and the peak cooling capacity is non-zero, determining that the peak working state is the second combined cooling mode.

In step S401 of some embodiments, if the cold storage capacity is smaller than the cold supply demand data and the target flat load is greater than the refrigeration capacity, the cold supply calculation is performed according to the cold storage capacity, the refrigeration capacity and the flat load demand data to obtain the peak cooling supply of the cold storage device, and the specific calculation process may refer to the analytical formula (3):

（3），

Wherein E ₁ represents the peak section cooling capacity of the cold storage device, E _TES represents the cold storage capacity, and the units are kilowatt-hours (kWh). Q (ti) represents the corresponding cooling demand load when the time is ti, and the unit can be kilowatts. For a preset period of time, the unit is hours. Q _R0 represents the refrigeration capacity, which may be in kw.For a preset time period, the unit is hour, in the embodiment of the application, the preset time periodFor one hour.

In step S402 of some embodiments, the second combined cooling mode is an operation mode in which the cold storage device and the cooling device simultaneously perform cooling at the peak segment of power consumption. The peak load demand data includes a target peak load, i.e. a maximum cooling demand load in the electricity consumption peak, which can be resolvedAnd (5) expression. If the peak cooling capacity is smaller than the peak load demand data and the peak cooling capacity is non-zero, three conditions can be subdivided: 1. the target peak load is less than or equal to the refrigeration capacity. 2. The target peak load is larger than the refrigerating capacity, and the peak cooling capacity (shown as an analytical formula (3)) of the cold storage equipment is larger than the peak minimum cooling capacity (shown as an analytical formula (2)). 3. The target peak load is greater than the refrigeration capacity, and the peak cooling capacity of the cold storage device is equal to the peak minimum cooling capacity. And when the scene 1 and the scene 2 are used, determining that the working state of the peak section is the second combined cooling mode, and when the scene 3 is used, determining that the working state of the peak section is the second combined cooling mode, the refrigerating equipment also needs to operate according to the maximum cooling capacity, and at the moment, the working state of the flat section and the working state of the peak section both reach the maximum cooling capacity, and the cooling system reaches the working condition of the maximum cooling capacity at the moment.

When the peak cooling capacity is smaller than the peak load demand data and the peak cooling capacity is 0, it can be known according to the analytical formula (3) that the cold storage capacity is the same as at least the required cooling capacity of the power level section, so that the cold storage capacity is exhausted in the power level section, and therefore only the refrigeration equipment is used for refrigeration in the power level section, namely, the working state of the peak section is determined to be the refrigeration mode of the refrigeration equipment, and the refrigeration equipment needs to perform refrigeration according to the maximum cooling capacity.

When the cooling capacity of the peak section is larger than or equal to the load demand data of the peak section, the working state of the peak section is determined to be a full-cooling-release mode.

According to the steps S401 to S402 shown in the embodiment of the application, different operation modes of the cooling system in the electricity consumption peak section are accurately divided according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity, so that the operation efficiency and the flexibility of the cooling system are improved, the energy utilization is optimized, and the unnecessary energy consumption and the electric power cost are reduced.

It should be noted that steps S401 to S402 only describe the case where the cold storage capacity is smaller than the cold supply demand data and the target flat load is larger than the cooling capacity, and a case where the cold storage capacity is smaller than the cold supply demand data and the target flat load is smaller than or equal to the cooling capacity will be described next. Under the scene, if the cold storage capacity is larger than or equal to the peak section load demand data, determining that the working state of the peak section is a full-cooling-release mode. If the cold accumulation capacity is smaller than the peak section load demand data, the cold accumulation capacity of the cold accumulation device is not capable of meeting the cold supply demand of the electricity consumption peak section, so that the working state of the peak section is determined to be a combined cold supply mode.

In step S203 of some embodiments, after the flat section operation state and the peak section operation state are determined, the flat section operation state and the peak section operation state are taken as the system operation state. Illustratively, when the cold storage capacity (E _TES) is less than the cold supply demand data #) And the target flat section load is [ ]) And the refrigerating capacity (Q _R0) is larger than the refrigerating capacity, the flat section working state is determined to be the first combined cooling mode, and the refrigerating equipment operates according to the maximum cooling capacity. At the same time, peak section cooling capacity) Less than peak load demand data [ ]) And the peak section provides cooling capacity) Is non-zero and the load of the target peak section) Is larger than the refrigerating capacity (Q _R0) and the peak cooling capacity%) Less cooling capacity than peak) At this time, it may be determined that the peak section operation state is the second combined cooling mode. The final system operating state may be determined as: the cooling system is in a first combined cooling mode in the power utilization level section, and the refrigeration equipment operates according to the maximum cooling capacity, and is in a second combined cooling mode in the power utilization peak section.

In the steps S201 to S203 shown in the embodiment of the present application, by comprehensively considering a plurality of factors such as flat section load demand data, peak section load demand data, refrigeration capacity, cold storage capacity, etc., the working states of the cooling system in the power consumption level section and the power consumption peak section are accurately determined, so that the cooling system can be ensured to operate efficiently and reliably under different load conditions. Steps S201 and S202 respectively determine the optimal working mode of the system according to the requirements of the electricity consumption level section and the electricity consumption peak section, thereby realizing the fine management of the cooling system and enabling the cooling system to be dynamically adjusted and optimized according to the real-time requirements.

In step S103 of some embodiments, a first device operating parameter of the refrigeration device is determined according to the system operating state, the first device operating parameter including a number of refrigeration devices to be turned on and an operating time. If the flat section working state or the peak section working state is the full-cooling mode, the refrigerating equipment does not need to work, the number of the refrigerating equipment needing to be operated can be determined to be 0, and the operation time is also 0. If the flat section working state or the peak section working is the refrigeration equipment cooling mode or the first combined cooling mode, the refrigeration equipment is controlled to operate according to the maximum cooling capacity, at this time, the number of refrigeration equipment to be operated is determined to be equal to the number of all refrigeration equipment in the cooling system, and the operation time, namely, the time corresponding to the period where the current mode is located, is determined. At this time, it may be determined that the number of operation of the refrigeration equipment at the electricity consumption peak section of the first equipment operation parameter is 0, the operation time is 0, the number of operation of the refrigeration equipment at the stationary electricity consumption period is 10, and the operation time is the corresponding time of the stationary electricity consumption period.

It should be noted that, when the system is operated to supply cold for the cold storage device and the refrigeration device in combination, but the refrigeration device does not need to supply cold according to the maximum cold supply capacity, the determination of the first device operation parameter needs to be performed according to the following embodiments. Referring to fig. 5, in some embodiments, step S103 may further include, but is not limited to, steps S501 to S503:

Step S501, obtaining initial cooling time length and initial refrigeration equipment quantity according to the working state of the system.

Step S502, energy efficiency evaluation is carried out on the initial cooling duration, the initial refrigeration equipment number and the refrigeration capacity through a refrigeration energy efficiency evaluation model, and the energy efficiency score of the refrigeration equipment is obtained.

Step S503, selecting an initial cooling duration and an initial number of refrigeration devices with the largest energy efficiency score as the first device operation parameters.

In step S501 of some embodiments, when the system operating state is the combined cooling mode and the refrigeration equipment does not need to operate according to the maximum cooling capacity, a period corresponding to the operating state is obtained as an initial cooling duration, and the number of initial refrigeration equipment may be set to any integer, but the number needs to be smaller than the number of refrigeration equipment of the cooling system. For example, if the flat section operating state is the combined cooling mode and the refrigeration equipment does not need to operate according to the maximum cooling capacity, the peak section operating state is the full-release cooling mode, and there are 10 refrigeration equipment in the cooling system, the power consumption peak sections are 7:00 to 9:00, 12:00 to 14:00, 17:00 to 19:00, and 21:00 to 23:00, and the power consumption peak sections are 9:00 to 12:00, 14:00 to 16:00, and 19:00 to 21:00. The initial cooling time length is the time length corresponding to the power consumption level section, namely 8 hours, and the number of the initial refrigeration equipment is set to be 5.

In step S502 of some embodiments, the higher the energy efficiency score, i.e., the refrigeration coefficient of performance, of the refrigeration appliance, the higher the value thereof, which indicates the higher the energy efficiency of the refrigeration appliance. Referring to fig. 6, in some embodiments, step S502 includes, but is not limited to, steps S601 to S602:

Step S601, determining refrigeration load data of the refrigeration equipment according to the initial refrigeration time period, the initial refrigeration equipment number and the refrigeration capacity.

And step S602, carrying out energy efficiency evaluation on the refrigeration load data through a refrigeration energy efficiency evaluation model to obtain an energy efficiency score.

In step S601 of some embodiments, the refrigeration load data, that is, the refrigeration load factor of the refrigeration apparatus, may be represented by the analytical formula (4):

（4），

Wherein, Representing the refrigeration load factor, E _R representing the current required refrigeration capacity in kilowatt-hours, q _R0 representing the refrigeration capacity of a single refrigeration device, in kw, n representing the number of initial refrigeration devices, τ representing the initial duration of cooling, and in hours. Wherein the current required cooling capacity E _R represents the cooling capacity required to be provided by the cooling device in the current mode. For example, when the flat-section operating state is in the combined cooling mode and the refrigeration device does not need to perform cooling according to the maximum cooling capacity, the current required cooling capacity E _R may be calculated according to the analytical formula (5):

（5），

wherein E _R represents the current required cooling capacity, E _TES represents the cold storage capacity, Representing the flat-section load demand data,Peak load demand data are shown, and the units of the parameters are kilowatt-hours.

In step S602 of some embodiments, the refrigeration energy efficiency evaluation model may be expressed as a function of refrigeration load data, evaporator outlet temperature, and condenser outlet temperature, as expressed by equation (6):

（6），

where COP represents the energy efficiency score, Which represents the data of the refrigeration load,Indicating the evaporator outlet temperature, in degrees celsius,The condenser outlet temperature is expressed in degrees celsius. In this embodiment, evaporator outlet temperatureAnd condenser outlet temperatureWhen the energy efficiency is evaluated, the corresponding energy efficiency score can be obtained by only carrying out numerical adjustment on the initial refrigeration equipment quantity n and the initial cold supply duration tau and adjusting the numerical value once.

In the steps S601 to S602 shown in the embodiment of the application, the accuracy and reliability of the energy efficiency scoring of the refrigeration equipment are ensured by carrying out detailed analysis and energy efficiency evaluation on the refrigeration load data of the refrigeration equipment.

In step S503 of some embodiments, the initial cooling duration and the initial number of refrigeration devices with the largest energy efficiency score are selected as part of the first device operation parameters. If the system working state further includes the refrigeration device cooling mode, the first combined cooling mode, and the full-release cooling mode, the corresponding first device operation parameter determining process has already been described in the above embodiments, and will not be described again. And integrating the operation parameters corresponding to all the operation modes in the system operation state to obtain the operation parameters of the first equipment in the preset cooling period.

The steps S501 to S503 shown in the embodiment of the application improve the operation efficiency and economy of the cooling system, reduce energy waste, ensure that the cooling requirement can be met in an optimal way in different time periods, and realize the intelligent and efficient management of the cooling system.

In step S104 of some embodiments, refrigeration capacity data of the refrigeration appliance is calculated from the first appliance operating parameter, the refrigeration capacity data being less than or equal to a refrigeration capacity of the refrigeration system. Specifically, the refrigerating capacity data includes a flat-section refrigerating capacity and a peak-section refrigerating capacity, which are independently calculated separately, and have the same calculation logic, and may be equal to the product of the number n of the initial refrigerating devices, the initial cooling duration τ, and the refrigerating capacity q _R0 of the single refrigerating device, and it should be noted that, because the flat-section working state and the peak-section working state may be the same, the specific values of the corresponding first device operation parameters are also different.

In step S105 of some embodiments, a second plant operating parameter of the cold storage plant is determined based on the refrigeration capacity data, the cold storage capacity, the flat load demand data, and the peak load demand data. Referring to fig. 7, in some embodiments, step S105 may include, but is not limited to, steps S701 to S702:

Step S701, determining a target cooling capacity of the cold storage device according to the flat section load demand data, the peak section load demand data, and the cooling capacity data.

In step S702, if the target cooling capacity is smaller than the cold storage capacity, the target cooling capacity is used as the second equipment operation parameter.

In step S701 of some embodiments, the cold storage device needs to provide a first cold supply amount of cold storage in the power consumption level section, and a second cold supply amount of cold storage in the power consumption peak section, and adds the first cold supply amount and the second cold supply amount to obtain the target cold supply amount.

And if the flat section working state is determined to be the combined cooling mode (comprising a first combined cooling mode and a second combined cooling mode), subtracting the refrigeration capacity data from the flat section load demand data to obtain the first refrigeration capacity. And if the working state of the peak section is determined to be the combined cooling mode, subtracting the refrigerating capacity data from the peak section load demand data to obtain second cooling capacity.

And if the working state of the flat section is determined to be a full-release cooling mode, the load demand data of the flat section is determined to be the first cooling capacity, and if the working state of the flat section is determined to be a cooling mode of the refrigeration equipment, the first cooling capacity is 0. And if the working state of the peak section is determined to be a full-cooling mode, determining the peak section load demand data to be a second cooling capacity, and if the working state of the peak section is determined to be a cooling mode of the refrigeration equipment, determining the second cooling capacity to be 0.

In step S702 of some embodiments, it should be noted that, in the existing cooling system, only one cold accumulation tank is generally used as the cold accumulation device, so the target cooling capacity is generally directly used as the final parameter for controlling the cold accumulation device. If there are two or more cold storage devices in the cold supply system, the target cold supply amount is compared with the cold storage capacity, if the cold storage capacity of the current cold storage device is smaller than the target cold supply amount, the cold storage device needs to be additionally started to provide the cold storage amount, so that the number of cold storage devices needing to be operated is determined, and finally, the number of cold storage devices needing to be operated and the cold storage amount needed to be provided by each cold storage device are taken as second device operation parameters.

In the steps S701 to S702 shown in the embodiment of the present application, the target cooling capacity of the cold storage device is determined by the flat load demand data, the peak load demand data and the cooling capacity data, and the operation parameters of the cold storage device are determined according to the comparison between the target cooling capacity and the cooling capacity, so that the specific cooling capacity required to be provided by the cold storage device in different time periods is defined, and the accurate matching of the cooling demands of the system is ensured.

In step S106 of some embodiments, the cooling system is controlled in operation according to a first device operating parameter for controlling operation of the refrigeration device and a second device operating parameter for controlling operation of the cold storage device. Illustratively, the cooling system has 10 refrigeration units and 1 cold storage unit, with the flat section operating condition being determined as a first combined cooling mode, when the refrigerator is operating in a maximum cooling mode, and the peak section operating condition being determined as a second combined cooling mode. The corresponding first equipment operation parameters are as follows: and when the number of the refrigeration equipment started in the power utilization level section is 10, the running time is all the time corresponding to the power utilization level section, the number of the refrigeration equipment started in the power utilization peak section is 6 according to the scoring data, and the running time is 4 hours. The second equipment operating parameters are as follows: and in the electricity consumption peak section, releasing second cooling capacity, wherein the second cooling capacity is obtained by subtracting the refrigerating capacity data of the refrigerating equipment in the period from the peak section load demand data.

Referring to fig. 8, an embodiment of the present application further provides an operation control device of a cooling system, which may implement the operation control method of the cooling system, where the device includes:

the system comprises an acquisition module, a cooling system and a cooling system, wherein the acquisition module is used for acquiring cooling demand data of the cooling system in a preset cooling period and equipment configuration data of the cooling system, the cooling system comprises refrigeration equipment and cold storage equipment, the cooling demand data is the sum of flat section load demand data and peak section load demand data, and the equipment configuration data comprises refrigeration capacity of the refrigeration equipment and cold storage capacity of the cold storage equipment.

The working state determining module is used for determining the system working state of the cooling system according to the flat section load demand data, the peak section load demand data, the refrigeration capacity and the cold storage capacity.

And the first parameter determining module is used for determining a first equipment operation parameter of the refrigeration equipment according to the system working state.

The refrigerating capacity calculating module is used for calculating refrigerating capacity data of the refrigerating equipment according to the first equipment operation parameters, and the refrigerating capacity data is smaller than or equal to the refrigerating capacity.

And the second parameter determining module is used for determining a second equipment operation parameter of the cold storage equipment according to the refrigerating capacity data, the cold storage capacity, the flat section load demand data and the peak section load demand data.

The control module is used for performing operation control on the cooling system according to a first equipment operation parameter and a second equipment operation parameter, wherein the first equipment operation parameter is used for controlling the operation of the refrigeration equipment, and the second equipment operation parameter is used for controlling the operation of the cold storage equipment.

The specific implementation of the operation control device of the cooling system is basically the same as the specific embodiment of the operation control method of the cooling system, and will not be described herein.

The embodiment of the application also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the operation control method of the cooling system when executing the computer program. The electronic equipment can be any intelligent terminal including a tablet personal computer, a vehicle-mounted computer and the like.

Referring to fig. 9, fig. 9 illustrates a hardware structure of an electronic device according to another embodiment, the electronic device includes:

The processor 901 may be implemented by a general purpose CPU (Central Processing Unit ), a microprocessor, an Application SPECIFIC INTEGRATED Circuit (ASIC), or one or more integrated circuits, etc. for executing related programs, so as to implement the technical solution provided by the embodiments of the present application;

The Memory 902 may be implemented in the form of a Read Only Memory (ROM), a static storage device, a dynamic storage device, or a random access Memory (Random Access Memory, RAM). The memory 902 may store an operating system and other application programs, and when the technical solution provided in the embodiments of the present disclosure is implemented by software or firmware, relevant program codes are stored in the memory 902, and the processor 901 invokes an operation control method for executing the cooling system of the embodiments of the present disclosure;

an input/output interface 903 for inputting and outputting information;

The communication interface 904 is configured to implement communication interaction between the device and other devices, and may implement communication in a wired manner (e.g. USB, network cable, etc.), or may implement communication in a wireless manner (e.g. mobile network, WIFI, bluetooth, etc.);

a bus 905 that transfers information between the various components of the device (e.g., the processor 901, the memory 902, the input/output interface 903, and the communication interface 904);

Wherein the processor 901, the memory 902, the input/output interface 903 and the communication interface 904 are communicatively coupled to each other within the device via a bus 905.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program which realizes the operation control method of the cooling system when being executed by a processor.

The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

According to the operation control method and device of the cooling system, the electronic equipment and the storage medium, the necessary basic data are provided for subsequent strategy formulation by acquiring the cooling demand data and the equipment configuration data in the preset cooling period. And then accurately planning the working state of the cooling system by analyzing the relation between the flat section load demand data and the peak section load demand data and the relation between the refrigerating capacity and the cold storage capacity. And then, based on the working state of the system, respectively determining the operation parameters and the refrigerating capacity data of the refrigerating equipment. And then, the operation parameters of the cold storage equipment are further determined by combining the cold storage capacity of the cold storage equipment, the flat section load demand data, the peak section load demand data and the refrigerating capacity data of the refrigerating equipment. And finally, accurately controlling the cooling system according to the first equipment operation parameters of the refrigeration equipment and the second equipment operation parameters of the cold storage equipment, wherein the operation number, the refrigeration load rate and the operation time length of the refrigeration equipment are optimized, so that the most energy-saving refrigerator operation strategy under the corresponding operation mode is automatically generated, the cooling system can realize the optimization of energy consumption and cost while meeting the cooling requirement, and the operation efficiency of the cooling system is improved. It can be understood that the embodiment of the application realizes the optimal control of the cooling system, and simultaneously accurately defines different operation modes and the mode division modes of the operation modes, and the mode division modes have universality, are suitable for the cooling system in any area, and can be realized no matter the capacity configuration of the refrigerating machine refrigerating installation or the cold storage capacity configuration of the refrigerating machine and under the load demands of any user when cooling.

The embodiments described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

It will be appreciated by persons skilled in the art that the embodiments of the application are not limited by the illustrations, and that more or fewer steps than those shown may be included, or certain steps may be combined, or different steps may be included.

The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.

The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely a logical function division, and there may be another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including multiple instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk, or an optical disk, or other various media capable of storing a program.

The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and are not thereby limiting the scope of the claims of the embodiments of the present application. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present application shall fall within the scope of the claims of the embodiments of the present application.

Claims

1. A method of controlling operation of a cooling system, the method comprising:

2. The operation control method according to claim 1, wherein the determining the system operation state of the cooling system based on the flat-section load demand data, the peak-section load demand data, the cooling capacity, and the cold storage capacity includes:

3. The operation control method according to claim 2, wherein the flat load demand data includes a target flat load, and the determining the flat operation state of the cooling system based on the flat load demand data, the peak load demand data, the cooling capacity, and the cold storage capacity includes:

4. The operation control method according to claim 2, wherein the flat load demand data includes a target flat load, and the determining the peak operation state of the cooling system based on the flat load demand data, the peak load demand data, the cooling capacity, and the cold storage capacity includes:

5. The operation control method according to any one of claims 1 to 4, wherein the determining the first equipment operation parameter of the refrigeration equipment according to the system operation state includes:

6. The operation control method according to claim 5, wherein the energy efficiency evaluation of the initial cooling time period, the initial number of refrigeration devices, and the refrigeration capacity by the refrigeration energy efficiency evaluation model, to obtain an energy efficiency score of the refrigeration device, includes:

7. The operation control method according to any one of claims 1 to 4, wherein the determining a second plant operation parameter of the cold storage plant based on the cooling capacity data, the cold storage capacity, the flat load demand data, and the peak load demand data includes:

8. An operation control device of a cooling system, the device comprising:

9. An electronic device comprising a memory storing a computer program and a processor implementing the operation control method according to any one of claims 1 to 7 when the processor executes the computer program.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the operation control method according to any one of claims 1 to 7.