A load distribution control method, system and device for a refrigeration host parallel system

Abstract

The present invention relates to the field of refrigeration system control technology, and discloses a load distribution control method, system and device for a refrigeration host parallel system, which is used to solve the problem of how to find the number of running refrigeration host nodes corresponding to the optimal energy efficiency value in the parallel system. The method includes: obtaining a three-dimensional performance array table corresponding to the inlet and outlet temperature, load rate and energy efficiency value of each refrigeration host; executing an optimal load addition and reduction strategy: obtaining the real-time refrigeration capacity of each refrigeration host and determining the real-time total refrigeration capacity of the system, and determining the range of the number of hosts to be run in combination with the rated refrigeration capacity and minimum refrigeration capacity of the host; determining the energy efficiency value in the table corresponding to each host under each corresponding number of host combinations within the number range and calculating the total energy efficiency value of each corresponding number of host combinations, obtaining the number of hosts corresponding to the maximum total energy efficiency value as the optimal number of running units; and adding and reducing loads based on the current number of running units and the optimal number of running units. The method enables the system to meet the refrigeration demand while achieving the optimal energy efficiency value.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration system control, and more specifically, to a load distribution control method, system and equipment for a parallel refrigeration host system. Background Art

[0002] As we all know, the energy consumption of the chiller accounts for 70% of the entire refrigeration room system. The core of the efficiency of the entire air-conditioning system lies in the efficiency of the chiller. Most of the current chillers can adjust the output load, and the efficiency of the chiller is a variable value during the output adjustment process. The water temperature conditions at the inlet and outlet of the chiller during operation, the load rate of the chiller itself and other factors jointly affect the efficiency of the chiller. Therefore, a refrigeration and air-conditioning system with multiple hosts of the same capacity in parallel, if the number of chillers is loaded or unloaded only according to the changes in the size of the refrigeration load or the changes in the water supply temperature, the energy-saving effect is limited.

[0003] In the prior art, the strategy of adding or reducing refrigeration units is to detect the chilled water outlet temperature and then compare it with the target outlet temperature setting value to determine whether the difference between them is greater than the threshold to determine whether to add or reduce the refrigeration unit; or to determine whether to add or reduce the host based on the host's own output load rate and the chilled water supply temperature;

[0004] The operation strategy of the load-on / load-off refrigeration host in the prior art essentially only considers whether the load size or temperature requirements of the air-conditioning terminal are met during the control process, and does not consider the impact of operating efficiency and energy saving, so there will be energy consumption problems.

[0005] At present, although there are methods in the market that select different startup strategies based on the load size of the current refrigeration host, this method only roughly considers the impact of the load on the host energy efficiency, and does not consider the impact of the inlet and outlet water conditions on the host. Although there is a certain energy-saving effect, it is not the best solution. Therefore, how to find the number of running refrigeration host nodes corresponding to the optimal energy efficiency value in the refrigeration host parallel system has become an urgent problem to be solved. Summary of the invention

[0006] The present invention aims to overcome at least one defect (shortcoming) of the above-mentioned prior art and provide a load distribution control method, system and device for a refrigeration host parallel system, which are used to solve the problem of how to find the number of running refrigeration host nodes corresponding to the optimal energy efficiency value in the refrigeration host parallel system.

[0007] According to a first aspect of the present application, a load distribution control method for a refrigeration host parallel system is provided, the method comprising:

[0008] Obtain a three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host;

[0009] Execute the optimal load addition and reduction strategy, specifically:

[0010] Get the real-time cooling capacity of each refrigeration host currently in operation;

[0011] Determine the real-time total cooling capacity of the parallel system according to the real-time cooling capacity of each refrigeration host currently in operation;

[0012] Obtaining the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host in the parallel system, and determining the minimum number and the maximum number of refrigeration hosts that need to be currently operated in the parallel system based on the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity;

[0013] Determine, based on the three-dimensional performance array table, the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number;

[0014] Calculate the total energy efficiency value of each corresponding number of refrigeration host combinations according to the energy efficiency values ​​in the table;

[0015] Determine the maximum total energy efficiency value among all the total energy efficiency values, and obtain the number of refrigeration hosts corresponding to the maximum total energy efficiency value as the optimal number of operating hosts;

[0016] The load on the refrigeration host is increased or decreased based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation.

[0017] Determining the optimal number of operating units of the system based on the outlet temperature, inlet temperature, load rate and energy efficiency value operating parameters of each refrigeration host can enable the system to achieve the optimal energy efficiency value while meeting the refrigeration needs, thereby improving the operating efficiency of the parallel system.

[0018] Optionally, the determining of the minimum number and maximum number of refrigeration hosts that the parallel system currently needs to operate based on the rated refrigeration capacity, the minimum allowable output refrigeration capacity, and the real-time total refrigeration capacity is specifically:

[0019] Assuming that the number of refrigeration main units currently required to be operated is N, the relationship between the number of refrigeration main units N and the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity of the current parallel system is expressed as follows:

[0020]

[0021] in, is the minimum allowable output cooling capacity of the refrigeration host, is the rated cooling capacity of the refrigeration host, is the real-time total cooling capacity of the parallel system;

[0022] According to the formula The minimum number of refrigeration hosts and the maximum number of refrigeration hosts are calculated.

[0023] Through the relationship between the number of refrigeration hosts, the demand range of refrigeration hosts can be determined more accurately, providing a basis for the subsequent determination of the optimal number of refrigeration hosts.

[0024] Optionally, determining the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number based on the three-dimensional performance array table includes:

[0025] Assume that the number of refrigeration hosts within the range of the minimum number and the maximum number is a first number;

[0026] Obtaining a total cooling medium outlet temperature and a total cooling medium inlet temperature of the parallel system;

[0027] Calculating an average load rate of each refrigeration host in the first number based on the real-time total refrigeration capacity of the parallel system and the rated refrigeration capacity of the refrigeration host;

[0028] Obtain the refrigeration host combinations corresponding to the first number; obtain the three-dimensional performance array table corresponding to each refrigeration host under various refrigeration host combinations;

[0029] Based on the total cooling medium outlet temperature, the total cooling medium inlet temperature and the average load rate, the energy efficiency value in the table corresponding to each refrigeration host under various refrigeration host combinations is obtained from the three-dimensional performance array table.

[0030] By calculating and comparing the average energy efficiency values ​​under different quantity combinations, we can find the number combination of refrigeration units with the highest total energy efficiency value, thereby determining the optimal number of units in operation.

[0031] Optionally, the step of obtaining the energy efficiency values ​​in the table corresponding to each refrigeration host under various refrigeration host combinations from the three-dimensional performance array table based on the total cooling medium outlet temperature, the total cooling medium inlet temperature and the average load rate specifically includes:

[0032] The total outlet temperature x of the cooling medium, the total inlet temperature y of the cooling medium and the average load rate z are rounded up and down to obtain two corresponding integer temperatures respectively. and , two integer temperatures and and two integer load factors and ;

[0033] Construct the energy efficiency value point coordinates P1, P2, and P3, where the coordinates of P1 are P1 , the coordinates of P2 are P2 , the coordinates of P3 are P3 ;

[0034] Based on the three-dimensional performance array table corresponding to each refrigeration host, the spatial distances between P1 and P2 and between P1 and P3 are calculated respectively through the three-dimensional spatial point distances;

[0035] Based on the coordinates of P1 and P3, the energy efficiency value of P1 and the energy efficiency value of P3 are obtained from the corresponding three-dimensional performance array table;

[0036] Based on the energy efficiency value of P1, the energy efficiency value of P3 and the spatial distance between P1 and P3, a linear proportional calculation is performed to obtain the energy efficiency value in the table of the corresponding refrigeration host.

[0037] By calculating the energy efficiency value in the table corresponding to each refrigeration host in linear proportion through spatial distance, the energy efficiency value of the refrigeration host can be obtained more accurately, providing a more reliable basis for more accurately executing the optimal addition and subtraction strategy.

[0038] Optionally, the linear proportional calculation formula of the energy efficiency value of the refrigeration host is as follows:

[0039]

[0040] in, Indicates the energy efficiency value of the refrigeration host in the table. represents the energy efficiency value of P1, represents the energy efficiency value of P3, Represents the spatial distance between the energy efficiency value point coordinates P1 and P2, Represents the spatial distance between the energy efficiency value point coordinates P1 and P3.

[0041] By calculating the energy efficiency value of the refrigeration host through the calculation formula of the energy efficiency value of the refrigeration host, the actual energy efficiency value of the refrigeration host can be calculated more accurately.

[0042] Optionally, the total energy efficiency value of each corresponding number of refrigeration host combinations is calculated according to the energy efficiency values ​​in the table, specifically:

[0043] Calculate the total energy efficiency value in the table corresponding to various refrigeration host combinations according to the energy efficiency values ​​in the table corresponding to each refrigeration host under various refrigeration host combinations;

[0044] The average value of the total energy efficiency values ​​in the table of various refrigeration host combinations corresponding to the first number is used as the total energy efficiency value of the first number of refrigeration host combinations.

[0045] Optionally, the step of increasing or decreasing the load of the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation includes:

[0046] Comparing the number of refrigeration hosts currently in operation with the optimal number of refrigeration hosts, if the number of refrigeration hosts currently in operation is less than the optimal number of refrigeration hosts, increasing the number of refrigeration hosts in operation by a first preset number;

[0047] If the number of refrigeration hosts currently in operation is greater than the optimal number of refrigeration hosts in operation, reducing the number of refrigeration hosts currently in operation by a second preset number;

[0048] If the number of refrigeration main units currently in operation is equal to the optimal number of units in operation, the current number of units in operation is maintained unchanged;

[0049] The first preset number and the second preset number are less than or equal to the absolute value of the difference between the number of refrigeration main units currently in operation and the optimal number of refrigeration main units in operation;

[0050] and / or,

[0051] The three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each refrigeration host obtained by preprocessing specifically includes:

[0052] Initialize the three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each refrigeration host;

[0053] Obtaining the operating cooling capacity and operating power of each refrigeration host during operation, and determining the operating energy efficiency value of each refrigeration host according to the operating cooling capacity and the operating power;

[0054] Obtain the operating load rate, cooling medium operating outlet temperature and cooling medium operating inlet temperature of each refrigeration host during operation;

[0055] The three-dimensional performance array table of the corresponding refrigeration host is updated based on the operation load rate, the operation energy efficiency value, the cooling medium operation outlet temperature and the cooling medium operation inlet temperature.

[0056] Optionally, the method further comprises:

[0057] Obtaining the real-time total cooling capacity of the parallel system after the load is added or reduced successfully as the first total cooling capacity;

[0058] At a preset time interval after the load addition and reduction is successful, obtaining the real-time total cooling capacity of the parallel system as the second total cooling capacity;

[0059] Determine whether the difference between the first total cooling capacity and the second total cooling capacity exceeds a preset range of variation, if so, execute the optimal load addition and reduction strategy again, if not, execute the interval mechanism strategy;

[0060] The spacing mechanism strategy is:

[0061] The real-time total cooling capacity of the parallel system is re-acquired as the second total cooling capacity at every preset time interval, and it is determined whether the difference between the most recently obtained second total cooling capacity and the last obtained second total cooling capacity exceeds the preset variation range. If so, the optimal load addition and reduction strategy is executed again; otherwise, the interval mechanism strategy is continued to be executed.

[0062] Through dynamic load addition and reduction strategies, the system can better adapt to different load demands and environmental changes, thereby timely adjusting and optimizing the number of operating refrigeration hosts, which is conducive to reducing the energy consumption of the system.

[0063] According to a second aspect of the present application, a load distribution control system for a refrigeration host parallel system is provided, the system comprising:

[0064] An association relationship acquisition module is used to obtain a three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host;

[0065] The cooling capacity acquisition module is used to obtain the real-time cooling capacity of each refrigeration host currently in operation;

[0066] A total cooling capacity acquisition module is used to determine the real-time total cooling capacity of the parallel system according to the real-time cooling capacity of each refrigeration host currently in operation;

[0067] A refrigeration host quantity acquisition module, used to obtain the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host in the parallel system, and determine the minimum number and maximum number of refrigeration hosts that currently need to be run in the parallel system based on the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity;

[0068] An energy efficiency value determination module, used to determine the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number based on the three-dimensional performance array table;

[0069] A total energy efficiency value acquisition module is used to calculate the total energy efficiency value of each corresponding number of refrigeration host combinations according to the energy efficiency values ​​in the table;

[0070] An optimal number of operating units module is used to determine the maximum total energy efficiency value among all the total energy efficiency values, and obtain the number of refrigeration hosts corresponding to the maximum total energy efficiency value as the optimal number of operating units;

[0071] The load addition and reduction module is used to add and reduce the load of the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation.

[0072] According to a third aspect of the present application, an electronic device is provided, including:

[0073] a memory for storing one or more computer programs;

[0074] The processor implements the load distribution control method for the parallel system of refrigeration hosts as described in the first aspect when the one or more computer programs are executed by the processor.

[0075] Based on any of the above aspects, the load distribution control method, system and device for the refrigeration host parallel system provided by the embodiments of the present application have the following beneficial effects compared with the prior art:

[0076] 1. Determine the optimal number of refrigeration hosts in the parallel system based on the operating parameters of each refrigeration host, such as the outlet temperature, inlet temperature, load rate and energy efficiency value, and implement the optimal load addition and reduction strategy, so that the system can achieve the best energy efficiency value while meeting the refrigeration demand, thereby improving the operating efficiency of the parallel system.

[0077] 2. This application determines the optimal number of refrigeration hosts in the parallel system and compares and adjusts it with the current number of refrigeration hosts in operation. It gradually optimizes through the interval mechanism strategy, and can dynamically find the operating switching node with the best energy efficiency value in the parallel system in real time, so that the parallel system can maintain the most energy-saving operating state for a long time during operation, greatly improving the operating efficiency of the parallel system and reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 This is a schematic application scenario diagram of the load distribution control method for a refrigeration host parallel system according to an embodiment of the present invention.

[0079] Figure 2 The present invention is a flow chart of a load distribution control method for a parallel refrigeration host system according to an embodiment of the present invention.

[0080] Figure 3 It is a schematic diagram of a process of determining the total energy efficiency value of each corresponding number of refrigeration host combinations within a minimum number and a maximum number according to an embodiment of the present invention.

[0081] Figure 4 The figure is a schematic diagram of a process for determining the energy efficiency value of each refrigeration host according to an embodiment of the present invention.

[0082] Figure 5 The figure is a flow chart of adding and reducing load on a refrigeration host according to an embodiment of the present invention.

[0083] Figure 6 It is a schematic diagram of the functional modules of the load distribution device of the parallel system of refrigeration hosts according to an embodiment of the present invention.

[0084] Figure 7 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0085] Figure 8 This is an example diagram of the energy efficiency value curve of the refrigeration host in the refrigeration host parallel system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0086] The drawings of this application are only used for illustrative purposes and should not be construed as limiting the present application. In order to better illustrate the following embodiments, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; it is understandable to those skilled in the art that some well-known structures and their descriptions in the drawings may be omitted.

[0087] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0088] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0089] This embodiment provides a technical solution that can solve the above-mentioned problem. The specific implementation methods of this application are described in detail below in conjunction with the accompanying drawings.

[0090] For example, a schematic diagram of an application scenario of a load distribution control method for a refrigeration host parallel system provided in an embodiment of the present application is provided. Figure 1As shown, the application scenario at least includes a server 100 and a terminal 200 that can communicate with the server 100, the server 100 has a data calculation or control function; the terminal 200 has a display function and can also have a data calculation function.

[0091] It is understandable that the server 100 can be an independent electronic device or a cluster of multiple electronic devices; the terminal 200 can be a smart phone terminal, a personal computer, a tablet computer, a car terminal, etc., but is not limited thereto.

[0092] In an operative manner, the server 100 and the terminal 200 may respectively execute the load distribution control method for the refrigeration host parallel system provided in the embodiment of the present application, or, optionally, the load distribution control method for the refrigeration host parallel system provided in the embodiment of the present application is partially executed in the server 100 and partially executed in the terminal 200.

[0093] For example, a refrigeration host parallel system provided in an embodiment of the present application may include several refrigeration hosts, several freezing pumps, several cooling pumps, several cooling towers, a set of automatic control systems, pipelines, valves, sensors, etc., wherein the automatic control system includes a component main controller PLC or DDC unit, a signal input detection unit, a signal output control unit, a communication acquisition unit, etc. Among them, the signal input detection unit collects the cooling medium outlet temperature value and the cooling medium inlet temperature value of the refrigeration host through sensors, collects the real-time cooling capacity of the parallel system calculated on the water supply pipe of each host through a cold meter, and collects the real-time power of each refrigeration host through an electric meter.

[0094] Figure 8 This is an example diagram of the energy efficiency curve of the refrigeration host under different cooling medium outlet temperature, cooling medium inlet temperature and load rate when two refrigeration hosts are running in a refrigeration host parallel system. Figure 8 It can be seen that when the cooling medium inlet temperature is 30℃, the energy efficiency curve of starting one refrigeration host and the energy efficiency curve of starting two refrigeration hosts are: when the load rate is the same, on the left side of the intersection of the energy efficiency curve of one refrigeration host and the energy efficiency curve of starting two refrigeration hosts, the energy efficiency value of starting one refrigeration host is as far away from the intersection as possible, and the energy efficiency value of starting two refrigeration hosts is as far away from the intersection as possible; similarly, on the right side of the intersection, the energy efficiency value of starting one refrigeration host is as far away from the intersection as possible, and the energy efficiency value of starting two refrigeration hosts is as far away from the intersection as possible. Therefore, in a refrigeration system with multiple hosts in parallel, there is an optimal time point for loading or unloading the refrigeration host.

[0095] Similarly, when the cooling medium inlet temperature is 32°C, the total energy efficiency curve of starting one refrigeration host and starting two refrigeration hosts are different from the curve of the cooling medium inlet temperature of 32°C. Therefore, under different working conditions, the performance curve of the host is different, and the intersection position will also deviate, which needs to be obtained through calculation.

[0096] like Figure 2 As shown, this embodiment provides a load distribution control method for a refrigeration host parallel system, which may include the following steps:

[0097] S110, obtaining a three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host.

[0098] In the specific implementation process, the cooling medium outlet temperature T1 and the cooling medium inlet temperature T2 can be monitored by installing temperature sensors in the cooling medium outlet pipe and the cooling medium inlet pipe of the refrigeration host, and the real-time cooling capacity Q of the parallel system can be collected in real time by installing a cooling capacity meter and a flow meter on the water supply pipe of each refrigeration host. The real-time power P of each refrigeration host can be collected through an electric meter, and the load rate of the refrigeration host can be obtained by obtaining the load parameters of the refrigeration host. It can be understood that the method of obtaining the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of the refrigeration host is only for illustrative purposes, and there is no limitation on the way of obtaining these parameters.

[0099] In this embodiment, an association relationship can be established with the cooling medium outlet temperature, the cooling medium inlet temperature, the load rate and the energy efficiency value. The association relationship can be achieved by establishing an initial three-dimensional performance array table on a digital controller such as a PLC or DDC.

[0100] In this embodiment, the three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host is obtained, which may specifically include:

[0101] S10, initializing a three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each refrigeration host;

[0102] In this embodiment, the three-dimensional coordinates of the three-dimensional performance array table are: cooling medium outlet temperature, cooling medium inlet temperature and load rate, and the three-dimensional performance array table stores the energy efficiency value of the refrigeration host.

[0103] S20, obtaining the operating cooling capacity and the operating power of each refrigeration host during operation, and determining the operating energy efficiency value of each refrigeration host according to the operating cooling capacity and the operating power;

[0104] After collecting the real-time cooling capacity Q of each refrigeration host as the operating cooling capacity and collecting the real-time power P of each refrigeration host as the operating power, the real-time energy efficiency value COP of each host can be calculated as the operating energy efficiency value. The calculation formula of the operating energy efficiency value COP is as follows:

[0105] COP=Q / P

[0106] S30, obtaining the operating load rate, the cooling medium operating outlet temperature and the cooling medium operating inlet temperature of each refrigeration host during operation;

[0107] S40, updating the three-dimensional performance array table of the corresponding refrigeration host based on the operation load rate, the operation energy efficiency value, the cooling medium operation outlet temperature and the cooling medium operation inlet temperature.

[0108] In this embodiment, the three-dimensional coordinates in the three-dimensional performance array table are all integers. When updating the three-dimensional performance array table, the energy efficiency value is obtained when the cooling medium outlet temperature, the cooling medium inlet temperature and the load rate are all integers. Another implementation method is to calculate the energy efficiency value based on the obtained cooling medium outlet temperature, the cooling medium inlet temperature and the load rate, and then update the three-dimensional performance array table after rounding the obtained cooling medium outlet temperature, the cooling medium inlet temperature and the load rate. The rounding can be rounded up or rounded down or rounded up, which is not limited here.

[0109] For example, Table 1 is a three-dimensional performance matrix table of one of the refrigeration hosts at different load rates and different cooling medium outlet temperatures:

[0110] Table 1

[0111]

[0112] Table 1 is a performance parameter table of the refrigeration host at different load rates and different cooling medium outlet temperatures at a cooling medium inlet temperature of 30°C. The load rate is intervals of 10% (for example, 20, 30, 40, 50, 60, 70, 80, 90, 100 in the table represent load rates of 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%), the evaporation condition temperature is intervals of 1°C, and the cooling medium outlet temperature is intervals of 1°C (for example, 6°C, 7°C, 8°C, 9°C, 10°C, 11°C, 12°C, 13°C, 14°C, 15°C in the table). The data stored in the three-dimensional performance array table are the corresponding energy efficiency values. For example, in Table 1, at a cooling medium inlet temperature of 30°C, when the refrigeration host load rate is 100% and the cooling medium outlet temperature is 6°C, the corresponding energy efficiency value is 8.59.

[0113] S120, executing the optimal load addition and reduction strategy, specifically:

[0114] S121. Obtain the real-time cooling capacity of each refrigeration host currently in operation.

[0115] In the specific implementation process, the real-time cooling capacity of the refrigeration host can be obtained by collecting data from the cooling capacity meter and flow meter installed on the water supply pipe corresponding to the refrigeration host.

[0116] S122: Determine the real-time total cooling capacity of the parallel system according to the real-time cooling capacity and power of each refrigeration host currently in operation.

[0117] In this embodiment, the real-time total cooling capacity of the parallel system is It can be obtained by summing up the real-time cooling capacity Q of each refrigeration host currently in operation. Assuming that there are n refrigeration hosts currently in operation, the real-time cooling capacity of each refrigeration host is , then the real-time total cooling capacity of the current parallel system is .

[0118] S123. Obtain the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host in the parallel system, and determine the minimum number and maximum number of refrigeration hosts that currently need to be operated in the parallel system based on the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity.

[0119] In this embodiment, the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host can be obtained through the product label of the refrigeration host or by testing the refrigeration host.

[0120] Assume that the rated cooling capacity of each refrigeration host is , the minimum allowable cooling output is , the number of refrigeration units currently required to be operated is N, then the number of refrigeration units N and the rated cooling capacity , Minimum allowable output cooling capacity And the real-time total cooling capacity of the current parallel system The relationship is expressed as:

[0121]

[0122] According to the formula The minimum number of refrigeration hosts and the maximum number of refrigeration hosts are calculated. For example, the rated cooling capacity of each refrigeration host is =20KW, the minimum allowable cooling output is The real-time total cooling capacity of the current parallel system is 10KW. =35KW, then N can be 2 or 3. Therefore, the minimum number of refrigeration hosts that need to run is 2 and the maximum number is 3.

[0123] Through the relationship between the number of refrigeration hosts, the demand range of refrigeration hosts can be determined more accurately, providing a basis for the subsequent determination of the optimal number of refrigeration hosts.

[0124] S124, based on the three-dimensional performance array table, determine the energy efficiency value in the table corresponding to each refrigeration host under the combination of corresponding numbers of refrigeration hosts within the minimum number and the maximum number.

[0125] After obtaining the minimum and maximum number of refrigeration hosts that need to be run, the energy efficiency value in the table of each refrigeration host that needs to be run can be calculated. Then calculate the total energy efficiency value of the entire parallel system , forming the total energy efficiency value of the number of refrigeration main units in operation and the parallel system The list can be specifically expressed as:

[0126]

[0127] in, Indicates the number of refrigeration hosts that need to run at present. Respectively The corresponding total energy efficiency value of the parallel system.

[0128] In the specific implementation process, it is necessary to calculate the total energy efficiency values ​​of all refrigeration host combinations that meet the minimum and maximum number ranges. For example, assuming the minimum number is 2 and the maximum number is 4, it is necessary to calculate the total energy efficiency values ​​of the refrigeration host combinations corresponding to 2, 3, and 4 refrigeration host numbers.

[0129] S125. Calculate the total energy efficiency value of each corresponding number of refrigeration host combinations according to the energy efficiency values ​​in the table.

[0130] Specifically, the total energy efficiency value of each corresponding number of refrigeration host combinations is calculated according to the energy efficiency values ​​in the table as follows:

[0131] Calculate the total energy efficiency value in the table corresponding to various refrigeration host combinations according to the energy efficiency values ​​in the table corresponding to each refrigeration host under various refrigeration host combinations;

[0132] The average value of the total energy efficiency values ​​in the table of various refrigeration host combinations corresponding to the first number is used as the total energy efficiency value of the first number of refrigeration host combinations.

[0133] like Figure 3As shown, in this embodiment, based on the three-dimensional performance array table, the energy efficiency values ​​in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number are determined, including:

[0134] A1. Assume that the number of refrigeration hosts within the minimum number and the maximum number is a first number;

[0135] A2. Obtaining the total outlet temperature and the total inlet temperature of the cooling medium of the parallel system;

[0136] A3. Calculate the average load rate of each refrigeration host in the first number based on the real-time total refrigeration capacity of the parallel system and the rated refrigeration capacity of the refrigeration host;

[0137] A4, obtaining the refrigeration host combinations corresponding to the first number; obtaining the three-dimensional performance array table corresponding to each refrigeration host under various refrigeration host combinations;

[0138] A5. Based on the total outlet temperature of the cooling medium, the total inlet temperature of the cooling medium and the average load rate, obtain the energy efficiency value in the table corresponding to each refrigeration host under various refrigeration host combinations from the three-dimensional performance array table.

[0139] In a specific implementation process, the outlet temperature, inlet temperature and average load rate of the cooling medium can be used to find the energy efficiency value in the corresponding three-dimensional performance array table corresponding to the refrigeration host.

[0140] like Figure 4 As shown, in this embodiment, based on the total outlet temperature of the cooling medium, the total inlet temperature of the cooling medium and the average load rate, the energy efficiency values ​​in the table corresponding to each refrigeration host under various refrigeration host combinations are obtained from the three-dimensional performance array table, specifically including:

[0141] B1. Rounding up and down the total outlet temperature x, the total inlet temperature y and the average load rate z of the cooling medium to obtain two corresponding integer temperatures. and , two integer temperatures and and two integer load factors and ;

[0142] In the specific implementation process, since the total outlet temperature of the cooling medium, the inlet temperature of the cooling medium and the average load rate of the refrigeration host are usually floating point numbers rather than integers, and the outlet temperature, inlet temperature and load rate in the three-dimensional performance array are often integers, in order to accurately obtain a more realistic energy efficiency value for each refrigeration host, it is necessary to round the values ​​of the three dimensions of the total outlet temperature of the cooling medium, the total inlet temperature of the cooling medium and the average load rate of the refrigeration host.

[0143] B2, construct the energy efficiency value point coordinates P1, P2, P3, where the coordinates of P1 are P1 , the coordinates of P2 are P2 , the coordinates of P3 are P3 ;

[0144] For example, assuming that the cooling medium outlet temperature is 12.3°C, the cooling medium inlet temperature is 28.6°C, and the load rate is 38%, the cooling medium outlet temperature is rounded to the nearest integer outlet temperature. =12℃, =13℃, the adjacent integer inlet temperatures of the cooling medium after rounding are 28℃ and 29℃, and the adjacent integer load rates after rounding are 30% and 40%. Therefore, the energy efficiency point coordinates P1(12℃, 28℃, 30%), P2=(12.3℃, 28.6℃, 38%), and P3=(13℃, 29℃, 40%) can be obtained.

[0145] B3, based on the three-dimensional performance array table corresponding to each refrigeration host, respectively calculate the spatial distances between P1 and P2 and between P1 and P3 through the three-dimensional spatial point distances;

[0146] In the three-dimensional coordinate space, two points P1 are known and P2 , then the spatial distance between the energy efficiency point coordinates P1 and P2 d 12 is:

[0147]

[0148] Similarly, the spatial distance between the energy efficiency point coordinates P1 and P3 can be calculated d 13.

[0149] B4. Based on the coordinates of P1 and P3, the energy efficiency value of P1 and the energy efficiency value of P3 are obtained from the corresponding three-dimensional performance array table.

[0150] Through the energy efficiency value point coordinates P1 (12℃, 28℃, 30%) and P3 = (13℃, 29℃, 40%), the energy efficiency values ​​corresponding to P1 and P3 can be quickly found from the three-dimensional performance array table.

[0151] B5. Based on the energy efficiency value of P1, the energy efficiency value of P3 and the spatial distance between P1 and P3, a linear proportional calculation is performed to obtain the energy efficiency value in the table of the corresponding refrigeration host.

[0152] The linear proportional calculation formula of the energy efficiency value of the refrigeration host is as follows:

[0153]

[0154] in, Indicates the energy efficiency value of the refrigeration host in the table. represents the energy efficiency value of P1, represents the energy efficiency value of P3, Represents the spatial distance between the energy efficiency value point coordinates P1 and P2, Represents the spatial distance between the energy efficiency value point coordinates P1 and P3.

[0155] S126. Determine the maximum total energy efficiency value according to all the total energy efficiency values, and obtain the number of refrigeration hosts corresponding to the maximum total energy efficiency value as the optimal number of operating hosts.

[0156] In this embodiment, the number of refrigeration hosts in operation and the real-time total refrigeration capacity of the parallel system are obtained. After obtaining the list, the number of refrigeration main units in operation corresponding to the largest energy efficiency value in the list can be found as the optimal number of units in operation.

[0157] S127, adding or reducing the load on the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation.

[0158] like Figure 5 As shown, in the specific implementation process, assuming that the calculated optimal number of operating units is m and the number of refrigeration hosts currently in operation is k, the refrigeration hosts are loaded or unloaded based on the number of refrigeration hosts currently in operation and the optimal number of operating units, which may specifically include:

[0159] C1. Compare the number k of refrigeration hosts currently in operation with the optimal number m of refrigeration hosts. If the number k of refrigeration hosts currently in operation is less than the optimal number m of refrigeration hosts, increase the number of refrigeration hosts in operation by a first preset number;

[0160] C2. If the number k of refrigeration hosts currently in operation is greater than the optimal number m of refrigeration hosts in operation, the number of refrigeration hosts currently in operation is reduced by a second preset number;

[0161] C3. If the number of refrigeration main units k currently in operation is equal to the optimal number of units m in operation, the current number of units in operation is maintained unchanged.

[0162] The first preset number and the second preset number are less than or equal to the absolute value of the difference between the number of refrigeration main units currently in operation and the optimal number of refrigeration main units in operation. In a specific implementation, the first preset number and the second preset number can be set to 1, 2 or other numbers greater than 0, preferably 1. For example, if the first preset number and the second preset number are set to 1, only one refrigeration main unit in operation is added or subtracted each time.

[0163] Specifically, the load distribution control method for the refrigeration host parallel system provided in this embodiment also includes:

[0164] Obtaining the real-time total cooling capacity of the parallel system after the load is added or reduced successfully as the first total cooling capacity;

[0165] At a preset time interval after the load addition and reduction is successful, obtaining the real-time total cooling capacity of the parallel system as the second total cooling capacity;

[0166] It is determined whether the difference between the first total cooling capacity and the second total cooling capacity exceeds a preset range of variation. If so, the optimal load addition and reduction strategy is executed again; otherwise, the interval mechanism strategy is executed.

[0167] During the specific implementation process, the preset time interval can be flexibly set according to specific needs. For example, it can be set to 15 minutes or other time intervals.

[0168] In this embodiment, the interval mechanism strategy may be:

[0169] Re-acquiring the real-time total cooling capacity of the parallel system as the second total cooling capacity at every preset time interval;

[0170] It is determined whether the difference between the second total cooling capacity obtained most recently and the second total cooling capacity obtained last time exceeds the preset variation range. If so, the optimal load addition and reduction strategy is executed again. If not, the interval mechanism strategy is continued to be executed.

[0171] For example, assuming that the preset range is 5%, if the difference between the second total cooling capacity obtained the most recently and the second total cooling capacity obtained the last time exceeds 5%, the optimal load addition and reduction strategy should be executed again.

[0172] By implementing the interval mechanism strategy, the system load is gradually adjusted, making the system operation more stable.

[0173] like Figure 6 As shown, the embodiment of the present application further provides a load distribution control system 610 for a refrigeration host parallel system, and the system 610 includes:

[0174] The association relationship acquisition module 611 is used to obtain the three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host;

[0175] A cooling capacity acquisition module 612 is used to acquire the real-time cooling capacity of each refrigeration host currently in operation;

[0176] A total cooling capacity acquisition module 613 is used to determine the real-time total cooling capacity of the parallel system according to the real-time cooling capacity of each refrigeration host currently in operation;

[0177] A refrigeration host quantity acquisition module 614 is used to obtain the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host in the parallel system, and determine the minimum number and maximum number of refrigeration hosts that need to be currently operated in the parallel system based on the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity;

[0178] An energy efficiency value determination module 615 is used to determine the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number based on the three-dimensional performance array table;

[0179] A total energy efficiency value acquisition module 616 is used to calculate the total energy efficiency value of each corresponding number of refrigeration host combinations according to the energy efficiency values ​​in the table;

[0180] An optimal number of operating units module 617 is used to determine the maximum total energy efficiency value among all the total energy efficiency values, and obtain the number of refrigeration hosts corresponding to the maximum total energy efficiency value as the optimal number of operating units;

[0181] The load adding and reducing module 618 is used to add and reduce the load of the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation.

[0182] It can be understood that the above-mentioned system embodiment and the above-mentioned method embodiment can correspond to each other, and similar descriptions of the system embodiment can refer to the method embodiment. To avoid repetition, it will not be repeated here. A refrigeration host parallel system load distribution control system provided in an embodiment of the present application can execute a refrigeration host parallel system load distribution control method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. The functional modules of the refrigeration host parallel system load distribution control system can be implemented in the form of hardware, can be implemented by instructions in the form of software, and can also be implemented by a combination of hardware and software modules.

[0183] Specifically, each step of the method embodiment of the present application can be completed by the hardware integrated logic circuit and / or software instructions in the processor. The steps of the load distribution control method of the parallel system of the refrigeration host combined with the embodiment of the present application can be directly embodied as a hardware coding processor, or a combination of hardware and software modules in the coding processor. Optionally, the software module can be located in a random access memory, a read-only memory, a programmable read-only memory, a flash memory, an electrically erasable programmable memory, a register, and other storage media. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps in the above method embodiment in combination with its hardware.

[0184] The present application embodiment provides an electronic device 710, whose structure is as follows: Figure 7The electronic device 710 may be Figure 1 The server 100 or the terminal 200 is shown.

[0185] like Figure 7 As shown, the electronic device 710 includes a memory 711, a processor 712, a communication module 713 and an input / output interface 714, etc. Optionally, the memory 711, the processor 712, the communication module 713 and the input / output interface 714 can be connected and communicated through a bus 715.

[0186] The memory 711 is used to store one or more computer programs and transfer the code of the computer program to the processor 712; when the one or more computer programs are executed by the processor 711712, the load distribution control method of the refrigeration host parallel system in the embodiment of the present application is implemented.

[0187] Optionally, the electronic device 710 can be connected to a network via a communication module 713 to communicate with other devices, such as a terminal or a server, through the network to achieve data interaction. The electronic device 710 can be various forms of digital computers, such as desktop computers, servers, workstations, mainframe computers or other types of computers. The electronic device 710 can also be various forms of mobile terminals, such as smart phones, tablet computers, wearable devices (such as helmets, glasses, watches, etc.) and other similar mobile terminals.

[0188] Optionally, the electronic device 710 can be connected to the required input / output devices, such as a keyboard, a display device, etc., through the input / output interface 714. The electronic device 710 itself can have a display device, and can also be connected to other display devices through the input / output interface 714. Optionally, a storage device, such as a hard disk, can also be connected through the input / output interface 714, so that data in the electronic device 710 can be stored in the storage device, or data in the storage device can be read, and data in the storage device can also be stored in the memory 711. It can be understood that the input / output interface 714 can be a wired interface or a wireless interface. Depending on the actual application scenario, the device connected to the input / output interface 714 can be a component of the electronic device 710, or it can be an external device connected to the electronic device 710 when needed.

[0189] Optionally, the memory 711 may be a volatile memory and / or a non-volatile memory, the volatile memory may be a random access memory, etc., and the non-volatile memory may be a read-only memory, a programmable read-only memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory or a flash memory, etc.

[0190] Optionally, the computer program stored in the processor 712 may be divided into one or more modules, which are stored in the memory 711 and executed by the processor 712 to complete the method provided in the embodiment. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, and the computer program instruction segments are used to describe the execution process of the computer program in the electronic device 710.

[0191] Optionally, the processor 712 may be various general and / or special processing components with processing and computing capabilities. Some examples of the processor 712 include, but are not limited to, a central processing unit, a graphics processing unit, a digital signal processor, various special artificial intelligence computing chips, various processors running machine learning model algorithms, and may also be any appropriate controller, microcontroller, processor, etc. The processor 712 executes various methods and processes of this embodiment, illustratively, such as a load distribution control method for a refrigeration host parallel system in an embodiment of the present application.

[0192] Optionally, the bus 715 may include a path for transmitting information. The bus 715 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. According to different functions, the bus 715 may be divided into an address bus, a data bus, a control bus, etc.

[0193] Obviously, the above embodiments of the present application are merely examples for clearly illustrating the technical solution of the present application, and are not intended to limit the specific implementation methods of the present application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the claims of the present application shall be included in the protection scope of the claims of the present application.

Claims

1. A load distribution control method for a refrigeration host parallel system, characterized in that: The method comprises: Obtain a three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host; Execute the optimal load addition and reduction strategy, specifically: Get the real-time cooling capacity of each refrigeration host currently in operation; Determine the real-time total cooling capacity of the parallel system according to the real-time cooling capacity of each refrigeration host currently in operation; Obtaining the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host in the parallel system, and determining the minimum number and the maximum number of refrigeration hosts that currently need to be operated in the parallel system based on the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity; Determine, based on the three-dimensional performance array table, the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number; Calculate the total energy efficiency value of each corresponding number of refrigeration host combinations according to the energy efficiency values ​​in the table; Determine the maximum total energy efficiency value among all the total energy efficiency values, and obtain the number of refrigeration hosts corresponding to the maximum total energy efficiency value as the optimal number of operating hosts; Increase or decrease the load on the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation; The determining of the minimum number and the maximum number of refrigeration hosts that the parallel system currently needs to operate based on the rated refrigeration capacity, the minimum allowable output refrigeration capacity and the real-time total refrigeration capacity is specifically: Assuming that the number of refrigeration main units currently required to be operated is N, the relationship between the number of refrigeration main units N and the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity of the current parallel system is expressed as follows: in, is the minimum allowable output cooling capacity of the refrigeration host, is the rated cooling capacity of the refrigeration host, is the real-time total cooling capacity of the parallel system; According to the formula The minimum number of refrigeration hosts and the maximum number of refrigeration hosts are calculated.

2. A load distribution control method for a refrigeration host parallel system according to claim 1, characterized in that: The step of determining the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number based on the three-dimensional performance array table includes: Assume that the number of refrigeration hosts within the range of the minimum number and the maximum number is a first number; Obtaining a total cooling medium outlet temperature and a total cooling medium inlet temperature of the parallel system; Calculating an average load rate of each refrigeration host in the first number based on the real-time total refrigeration capacity of the parallel system and the rated refrigeration capacity of the refrigeration host; Obtain the refrigeration host combinations corresponding to the first number; obtain the three-dimensional performance array table corresponding to each refrigeration host under various refrigeration host combinations; Based on the total cooling medium outlet temperature, the total cooling medium inlet temperature and the average load rate, the energy efficiency value in the table corresponding to each refrigeration host under various refrigeration host combinations is obtained from the three-dimensional performance array table.

3. A load distribution control method for a refrigeration host parallel system according to claim 2, characterized in that: The step of obtaining the energy efficiency values ​​in the table corresponding to each refrigeration host under various refrigeration host combinations from the three-dimensional performance array table based on the total outlet temperature of the cooling medium, the total inlet temperature of the cooling medium and the average load rate specifically includes: The total outlet temperature x of the cooling medium, the total inlet temperature y of the cooling medium and the average load rate z are rounded up and down to obtain the corresponding two integer temperatures and , two integer temperatures and and two integer load factors and ; Construct the energy efficiency value point coordinates P1, P2, and P3, where the coordinates of P1 are P1 , the coordinates of P2 are P2 , the coordinates of P3 are P3 ; Based on the three-dimensional performance array table corresponding to each refrigeration host, the spatial distances between P1 and P2 and between P1 and P3 are calculated respectively through the three-dimensional spatial point distances; Based on the coordinates of P1 and P3, the energy efficiency value of P1 and the energy efficiency value of P3 are obtained from the corresponding three-dimensional performance array table; Based on the energy efficiency value of P1, the energy efficiency value of P3 and the spatial distance between P1 and P3, a linear proportional calculation is performed to obtain the energy efficiency value in the table of the corresponding refrigeration host.

4. A load distribution control method for a refrigeration host parallel system according to claim 3, characterized in that: The linear ratio calculation formula is as follows: in, Indicates the energy efficiency value of the refrigeration host in the table. represents the energy efficiency value of P1, represents the energy efficiency value of P3, Represents the spatial distance between the energy efficiency value point coordinates P1 and P2, Represents the spatial distance between the energy efficiency value point coordinates P1 and P3.

5. The load distribution control method for a refrigeration host parallel system according to claim 2, characterized in that: According to the energy efficiency values ​​in the table, the total energy efficiency values ​​of the corresponding number of refrigeration host combinations are calculated as follows: Calculate the total energy efficiency value in the table corresponding to various refrigeration host combinations according to the energy efficiency values ​​in the table corresponding to each refrigeration host under various refrigeration host combinations; The average value of the total energy efficiency values ​​in the table of various refrigeration host combinations corresponding to the first number is used as the total energy efficiency value of the first number of refrigeration host combinations.

6. A load distribution control method for a refrigeration host parallel system according to any one of claims 1 to 5, characterized in that: The step of increasing or decreasing the load of the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation includes: Comparing the number of refrigeration hosts currently in operation with the optimal number of refrigeration hosts, if the number of refrigeration hosts currently in operation is less than the optimal number of refrigeration hosts, increasing the number of refrigeration hosts in operation by a first preset number; If the number of refrigeration hosts currently in operation is greater than the optimal number of refrigeration hosts in operation, reducing the number of refrigeration hosts currently in operation by a second preset number; If the number of refrigeration main units currently in operation is equal to the optimal number of units in operation, the current number of units in operation is maintained unchanged; The first preset number and the second preset number are less than or equal to the absolute value of the difference between the number of refrigeration main units currently in operation and the optimal number of refrigeration main units in operation; and / or, The three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each refrigeration host obtained by preprocessing specifically includes: Initialize the three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each refrigeration host; Obtaining the operating cooling capacity and operating power of each refrigeration host during operation, and determining the operating energy efficiency value of each refrigeration host according to the operating cooling capacity and the operating power; Obtain the operating load rate, cooling medium operating outlet temperature and cooling medium operating inlet temperature of each refrigeration host during operation; The three-dimensional performance array table of the corresponding refrigeration host is updated based on the operation load rate, the operation energy efficiency value, the cooling medium operation outlet temperature and the cooling medium operation inlet temperature.

7. A load distribution control method for a refrigeration host parallel system according to any one of claims 1 to 5, characterized in that: The method further comprises: Obtaining the real-time total cooling capacity of the parallel system after the load is added or reduced successfully as the first total cooling capacity; At a preset time interval after the load addition and reduction is successful, obtaining the real-time total cooling capacity of the parallel system as the second total cooling capacity; Determine whether the difference between the first total cooling capacity and the second total cooling capacity exceeds a preset range of variation, if so, execute the optimal load addition and reduction strategy again, if not, execute the interval mechanism strategy; The spacing mechanism strategy is: The real-time total cooling capacity of the parallel system is re-acquired as the second total cooling capacity at every preset time interval, and it is determined whether the difference between the most recently obtained second total cooling capacity and the last obtained second total cooling capacity exceeds the preset variation range. If so, the optimal load addition and reduction strategy is executed again; otherwise, the interval mechanism strategy is continued to be executed.

8. A load distribution control system for a refrigeration host parallel system, characterized in that: The system comprises: An association relationship acquisition module is used to obtain a three-dimensional performance array table corresponding to the cooling medium outlet temperature, cooling medium inlet temperature, load rate and energy efficiency value of each pre-processed refrigeration host; The cooling capacity acquisition module is used to obtain the real-time cooling capacity of each refrigeration host currently in operation; A total cooling capacity acquisition module is used to determine the real-time total cooling capacity of the parallel system according to the real-time cooling capacity of each refrigeration host currently in operation; A refrigeration host quantity acquisition module, used to obtain the rated cooling capacity and the minimum allowable output cooling capacity of each refrigeration host in the parallel system, and determine the minimum number and maximum number of refrigeration hosts that currently need to be run in the parallel system based on the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity; An energy efficiency value determination module, used to determine the energy efficiency value in the table corresponding to each refrigeration host under the combination of each corresponding number of refrigeration hosts within the minimum number and the maximum number based on the three-dimensional performance array table; A total energy efficiency value acquisition module is used to calculate the total energy efficiency value of each corresponding number of refrigeration host combinations according to the energy efficiency values ​​in the table; An optimal number of operating units module is used to determine the maximum total energy efficiency value among all the total energy efficiency values, and obtain the number of refrigeration hosts corresponding to the maximum total energy efficiency value as the optimal number of operating units; The load addition and reduction module is used to add and reduce the load of the refrigeration host based on the number of refrigeration hosts currently in operation and the optimal number of refrigeration hosts in operation; The determining of the minimum number and the maximum number of refrigeration hosts that the parallel system currently needs to operate based on the rated refrigeration capacity, the minimum allowable output refrigeration capacity and the real-time total refrigeration capacity is specifically: Assuming that the number of refrigeration main units currently required to be operated is N, the relationship between the number of refrigeration main units N and the rated cooling capacity, the minimum allowable output cooling capacity and the real-time total cooling capacity of the current parallel system is expressed as follows: in, is the minimum allowable output cooling capacity of the refrigeration host, is the rated cooling capacity of the refrigeration host, is the real-time total cooling capacity of the parallel system; According to the formula The minimum number of refrigeration hosts and the maximum number of refrigeration hosts are calculated.

9. An electronic device, characterized in that: include: a memory for storing one or more computer programs; The processor implements the load distribution control method for the parallel connection system of refrigeration hosts as described in any one of claims 1 to 7 when the one or more computer programs are executed by the processor.

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