Method and device for controlling refrigerating system and storage medium

Abstract

The invention relates to a method and device for controlling a refrigerating system and a storage medium, the refrigerating system comprises a plurality of refrigerating machines, and a chilled water outlet of each refrigerating machine is in fluid connection with a chilled water outlet main pipe; the method comprises the steps that when it is determined that at least one of the following three conditions occurs, another more refrigerator is started; the opening degrees of inlet guide vanes of all refrigerators running at the current moment are all larger than a first threshold value; the detected chilled water temperature at the chilled water outlet main pipe at the current moment is greater than the product of the chilled water temperature set point at the chilled water outlet main pipe at the current moment and a first coefficient; the detected chilled water temperature at the chilled water outlet main pipe at the current moment is larger than the product of the calculated chilled water temperature set point at the chilled water outlet main pipe at the current moment and a second coefficient, and the sum of the maximum refrigerating capacity of each refrigerating machine in all refrigerating machines operating at the current moment is smaller than the detected value. The actual cooling load is obtained at the current moment.

Description

Technical Field

[0001] The present application relates to refrigeration in engineering, and more specifically, to a method, a device, and a storage medium for controlling a refrigeration system. Background Art

[0002] Refrigeration systems play an important role in the modern economy and are widely used in commercial buildings, industrial plants, data centers, etc., providing a temperature-stable and comfortable environment for large areas of space in these places. However, the energy consumption of refrigeration systems in each place is increasing day by day. Facing the increasingly severe energy pressure and environmental problems, improving the energy efficiency of refrigeration systems has become an urgent task.

[0003] Generally, a refrigeration system includes multiple refrigerating machines (also referred to as refrigeration units or chiller units). The control strategy for the multiple refrigerating machines will directly determine the level of energy consumption of the refrigeration system. Currently, the main control strategies for the multiple refrigerating machines are the group control method and the intelligent control method. The group control method refers to the overall control and adjustment of the multiple refrigerating machines through a centralized control device, such as setting a unified temperature set point, start-stop time, etc. This method is relatively simple, but highly dependent on the manual operation level and cannot make real-time adjustments in a timely manner according to the changes in the site requirements, resulting in a relatively low overall operating efficiency. The intelligent control method is based on sensor technology, data analysis, and artificial intelligence algorithms. It monitors and analyzes the operating conditions of each refrigerating machine in real time and makes intelligent adjustments according to actual needs, dynamically adjusting the operating parameters of each refrigerating machine to achieve precise control and energy consumption optimization.

[0004] However, when using the intelligent control method, it is often necessary to build a power prediction model for each refrigerating machine. Under the constraints of meeting the required cooling load, etc., the power to be used by each refrigerating machine is globally optimized with the aim of minimizing the total power consumption of the refrigeration system to provide a certain degree of energy consumption savings. However, the quality of its optimization results usually highly depends on the prediction model used and the search space. Therefore, accurately building a power prediction model often requires a large amount of historical operation data and consumes a lot of time. Moreover, when the equipment state of one of the refrigerating machines changes or the external environment changes, which adversely affects the energy efficiency of the refrigeration system, the correct control strategy may not be immediately given only based on the power prediction model. This lag will lead to a decline in the control effect and an increase in energy consumption.

[0005] The PCT international application PCT / CN2021 / 095676 of the present applicant discloses a method and device for controlling a refrigeration device, which uses a data-driven model to control one or more operating parameters of the refrigeration device, and the model for control is not fixed and can be changed according to changes in the ambient temperature (e.g., external temperature) and / or indoor environment (e.g., production line layout) of the indoor space. The entire content of this PCT international application is incorporated herein by reference. Summary of the Invention

[0006] An object of the present application is to provide a method, device and storage medium for controlling a refrigeration system, which can improve the energy efficiency, responsiveness and stability of the refrigeration system.

[0007] According to one aspect of the present application, there is provided a method for controlling a refrigeration system, the refrigeration system including multiple refrigerating machines, and the chilled water outlet of each refrigerating machine being fluidly connected to the main chilled water outlet pipe. The method includes turning on one more refrigerating machine when it is determined that at least one of the following three situations occurs: the inlet guide vane opening degrees of all refrigerating machines operating at the current moment are greater than a first threshold; the detected chilled water temperature at the main chilled water outlet pipe at the current moment is greater than the product of the calculated chilled water temperature set point at the main chilled water outlet pipe at the current moment and a first coefficient; and the detected chilled water temperature at the main chilled water outlet pipe at the current moment is greater than the product of the calculated chilled water temperature set point at the main chilled water outlet pipe at the current moment and a second coefficient, and the sum of the maximum refrigeration capacities of each refrigerating machine among all refrigerating machines operating at the current moment is less than the detected actual cooling load at the current moment.

[0008] According to another aspect of the present application, there is provided a device for controlling a refrigeration system, which includes: a processor; and a memory storing executable instructions thereon, and the executable instructions, when executed, cause the processor to execute the method for controlling the refrigeration system.

[0009] According to still another aspect of the present application, there is provided a machine-readable storage medium storing executable instructions, and the executable instructions, when executed by a processor, implement the method for controlling the refrigeration system.

[0010] The method, apparatus, and storage medium for controlling a refrigeration system provided by the present application can, considering operating parameters such as the inlet guide vane opening IGV, the chilled water temperature at the chilled water outlet main pipe / chilled water return main pipe / cooling water return main pipe, the chilled water temperature at the chilled water outlet / chilled water return of each chiller, the chilled water flow rate at the chilled water outlet main pipe and / or the chilled water return main pipe, the chilled water flow rate of each chiller, the operating efficiency COP, and the part load ratio PLR, dynamically control the start - stop sequence of the multiple chillers and set a more reasonable chilled water temperature setpoint at the chilled water outlet of each chiller, so that each chiller can be utilized most fully in a timely manner, thereby improving the energy efficiency, responsiveness, and stability of the refrigeration system.

[0011] Other features and advantages of the present application will become clear from the following detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The drawings forming a part of the specification depict embodiments of the present application and, together with the specification, are used to explain the principles of the present application.

[0013] Figure 1 is a block diagram of a refrigeration system according to an embodiment of the present application.

[0014] Figure 2 is a flowchart of an exemplary method 200 for controlling a refrigeration system according to an embodiment of the present application.

[0015] Figure 3 is a flowchart of an exemplary method 300 for controlling a refrigeration system according to an embodiment of the present application.

[0016] Figure 4 is a flowchart of an apparatus for controlling a refrigeration system according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Now, various exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present application.

[0018] Technologies and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such technologies and devices should be regarded as part of the specification.

[0019] In all the examples shown and discussed here, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0020] It should be noted that like reference numerals and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

[0021] Figure 1 A block diagram of a refrigeration system 10 is schematically shown. Generally, the refrigeration system 10 may include a plurality of refrigerating machines 102, at least one indoor air cooling device 106 disposed in an internal cycle 104, and a plurality of cooling towers 110 disposed in an external cycle 108. Each refrigerating machine 102 has an evaporator 112, a compressor 114, a condenser 116, and an expansion valve 118 that are fluidly connected to each other by means of an intermediate cycle 111, and a refrigerant circulates in the intermediate cycle 111.

[0022] On the one hand, the internal cycle 104 may involve a chilled water supply main pipe 120, a chilled water return main pipe 122, and a plurality of chilled water branch pipes (not shown). The chilled water outlet 102a of each refrigerating machine 102 is fluidly connected to the chilled water supply main pipe 120, and the chilled water return port 102b of each refrigerating machine 102 is fluidly connected to the chilled water return main pipe 122. The chilled water supply main pipe 120 and the chilled water return main pipe 122 are fluidly connected to each other via the plurality of chilled water branch pipes. The chilled water circulating in the internal cycle 104 is configured to be driven by a chilled water pump 124 and to cool at least one indoor space by means of the at least one indoor air cooling device 106 when flowing through the plurality of chilled water branch pipes. The at least one indoor space may belong to places such as commercial buildings, industrial plants, and data centers.

[0023] On the other hand, the external cycle 108 may involve a cooling water supply main pipe 126, a cooling water return main pipe 128, and a plurality of cooling water branch pipes (not shown). The cooling water outlet 102c of each refrigerating machine 102 is fluidly connected to the cooling water supply main pipe 126, and the cooling water return port 102d of each refrigerating machine 102 is fluidly connected to the cooling water return main pipe 128. The cooling water supply main pipe 126 and the cooling water return main pipe 128 are fluidly connected to each other via the plurality of cooling water branch pipes. The cooling water circulating in the external cycle 108 is configured to be driven by a cooling water pump 129 and to be cooled in the plurality of cooling towers 110 when flowing through the plurality of cooling water branch pipes.

[0024] The outer loop 108, the intermediate loop 111, and the inner loop 104 operate independently of each other. The chilled water flowing in a loop in the inner loop 104 enters the evaporator 112 from the chilled water return port 102b of each chiller 102 to exchange heat with the refrigerant in the intermediate loop 111. The cooling water flowing in a loop in the outer loop 108 enters the condenser 116 from the cooling water return port 102d of each chiller 102 to exchange heat with the refrigerant in the intermediate loop 111. The refrigerant is vaporized into a low-temperature and low-pressure gas by the chilled water in the evaporator 112, compressed into a high-pressure and high-temperature gas when flowing through the compressor 114, liquefied into a low-temperature and high-pressure liquid by the cooling water when flowing through the condenser 116, and reverted to a low-temperature and low-pressure liquid when flowing through the expansion valve 118 to recycle and enter the evaporator 112 again. Therefore, the operating performance of the compressor 114 affects the refrigeration capacity of a corresponding chiller 102, and the operating performance of a corresponding chiller 102 can be reflected by the inlet guide vane opening IGV, the compressor speed V, etc. Generally speaking, the larger the IGV, the stronger the refrigeration capacity of a corresponding chiller 102; the higher the compressor speed V, the stronger the refrigeration capacity of a corresponding chiller 102.

[0025] The refrigeration system 10 may further include one or more sensors (not shown) and a database for collecting and maintaining monitoring data from the one or more sensors. The one or more sensors can be used to monitor one or more operating parameters for the refrigeration system 10, including: the chilled water temperature (also known as the chilled water supply temperature) T at the chilled water outlet 102a of the i-th chiller 102 chws,i ; the chilled water temperature T at the chilled water return port 102b of the i-th chiller 102 chwr,i ; the chilled water temperature T at the main chilled water outlet pipe 120 chws ; the chilled water temperature T at the main chilled water return pipe 122 chwr ; the cooling water temperature T at the main cooling water return pipe 128 cwr ; the chilled water flow rate F at the main chilled water outlet pipe 120 and / or the main chilled water return pipe 122 chw ; and the chilled water flow rate F of the i-th chiller 102 chw,i , and so on. The one or more sensors can also be used to monitor the inlet guide vane opening IGV of the i-th chiller 102 i , the compressor speed V i , and so on. The one or more sensors can also be used to monitor the ambient temperature of the at least one indoor space as the external temperature T o , and so on.

[0026] The refrigeration system 10 may further include one or more additional components or replacement components.

[0027] Figure 2 Shows a flowchart of an exemplary method 200 for controlling a refrigeration system 10 according to an embodiment of the present application, which can be implemented, for example, in Figure 1 the refrigeration system 10 shown. The method 200 includes at least some of a plurality of steps that will be described in detail below.

[0028] Step S201. Determine whether the inlet guide vane openings IGV of all, for example, n refrigerating machines 102 (n is less than i) operating at the current moment k k-n are all greater than a first IGV threshold A. For example, the first IGV threshold A is approximately 85%.

[0029] Step S202. Determine whether the (actual) chilled water temperature T at the chilled water outlet main pipe 120 detected by means of the one or more sensors at the current moment k k-chws is greater than the product of the chilled water temperature setpoint T at the chilled water outlet main pipe 120 at the current moment k calculated at the previous moment k - 1 * k-chws and a first coefficient α1. For example, the first coefficient α1 is in the range of 1.2 to 1.3.

[0030] It should be understood that the "moment" mentioned in the text can be a point in time, or a continuous or intermittent period, according to the working principle of the one or more sensors and / or based on the requirements for the one or more operating parameters.

[0031] If the judgment result in step S201 is yes, that is:

[0032] All IGV k-n > A

[0033] and / or, if the judgment result in step S202 is yes, that is:

[0034] T k-chws > T * k-chws ×α1

[0035] Then it means that the n refrigerating machines 102 operating at the current moment k are all close to operating at their maximum inlet guide vane opening IGV (100%), and / or the detected (actual) chilled water temperature T at the chilled water outlet main pipe 120 at the current moment k k-chws still cannot achieve the chilled water temperature setpoint T at the chilled water outlet main pipe 120 at the current moment k calculated at the previous moment k - 1 * k-chws, therefore, one more chiller 102 will be turned on in steps S203 and S203’, that is, the (n + 1)-th chiller 102 will be turned on, and further in step S204, the chilled water temperature set point T at the chilled water outlet main pipe 120 at the next moment k + 1 will be calculated * k+1-chws , and the chilled water temperature set point T at the chilled water outlet 102a of each of the n + 1 chillers 102 operating at the next moment k + 1 will be calculated * k+1-chws,n+1 , based on which one or more operating parameters of each of the n + 1 chillers 102 operating at the next moment k + 1 will be further calculated and adjusted, for example, the inlet guide vane opening IGV * k+1-n+1 , the compressor speed V * k+1-n+1 , the chilled water flow rate F * k+1-chw,n+1 , and so on.

[0036] If the judgment result in step S201 is negative, that is:

[0037] At least one IGV k-n ≤A

[0038] It means that there is at least one chiller 102 among the n chillers 102 operating at the current moment k, which can further increase the IGV to improve the refrigeration capacity of the at least one chiller 102;

[0039] And / or, if the judgment result in step S202 is negative, that is:

[0040] T k-chws ≤T * k-chws ×α1

[0041] It means that the refrigeration capacity of the n chillers 102 operating at the current moment k meets the expectation. Therefore, one more chiller 102 will not be turned on, but directly in step S204, the chilled water temperature set point T at the chilled water outlet main pipe 120 at the next moment k + 1 will be calculated * k+1-chws , and the chilled water temperature set point T at the chilled water outlet 102a of each of the n chillers 102 operating at the next moment k + 1 will be calculated * k+1-chws,n , based on which one or more operating parameters of each of the n chillers 102 operating at the next moment k + 1 will be further calculated and adjusted, for example, the inlet guide vane opening IGV *k+1-n , the rotational speed V of the compressor * k+1-n , the chilled water flow rate F * k+1-chw,n , and so on.

[0042] Step S205. Determine whether the (actual) chilled water temperature T at the chilled water outlet main pipe 120 detected at the current moment k by means of the one or more sensors k-chws is greater than the product of the chilled water temperature setpoint T at the chilled water outlet main pipe 120 at the current moment k calculated at the previous moment k - 1 * k-chws and the second coefficient α2. For example, the second coefficient α2 is less than the first coefficient α1. For example, the second coefficient α2 is in the range of 1 to 1.1.

[0043] Step S206. Determine whether the sum of the maximum cooling capacities Q of each of the n refrigerating machines 102 operating at the current moment k k-max,n is less than the (actual) cooling load Q detected at the current moment by means of the one or more sensors k-ch , the (actual) cooling load Q at the current moment k k-ch reflects the cooling load required by the at least one indoor space (i.e., the user side) at the current moment.

[0044] On the one hand, based on the (actual) cooling water temperature T at the cooling water return main pipe 128 detected at the current moment k by means of the one or more sensors k-cwr , the chilled water flow rate F of each of the n refrigerating machines 102 operating at the current moment k k-chw,n , and the lower limit T of the chilled water temperature min-chw (for example, 6° or lower), calculate the maximum cooling capacity Q of the nth refrigerating machine 102 operating at the current moment k k-max,n . That is:

[0045] Q k-max,n = f(T k-cwr , F k-chw,n , T min-chw )

[0046] On the other hand, based on the chilled water temperature T at the chilled water outlet main pipe 120 detected at the current moment k by means of the one or more sensors k-chws , the chilled water temperature T at the chilled water return main pipe 122 k-chwr , and the chilled water flow rate F at the chilled water outlet main pipe 120 and / or the chilled water return main pipe 122 k-chw , calculate the (actual) cooling load Q at the current moment k k-ch. That is:

[0047] Q k-ch = f(T k-chws , T k-chwr , F k-chw )

[0048] If the judgment results in both Step S205 and Step S206 are Yes, that is:

[0049] T k-chws > T * k-chws × α2 and

[0050] (Q k-max,1 + Q k-max,2 +…Q k-max,n ) < Q k-ch

[0051] It means that the chilled water temperature T detected at the chilled water outlet main pipe 120 at the current moment k k-chws not only cannot achieve the chilled water temperature set point T at the chilled water outlet main pipe 120 at the current moment k calculated at the previous moment k - 1 * k-chws , but also, due to the sum of the maximum refrigeration capacities Q of each of the n refrigerating machines 102 operating at the current moment k being less than the detected (actual) cooling load Q at the current moment k-max,n , even if there is at least one refrigerating machine 102 whose inlet guide vane opening IGV can be further increased, the equipment state of the at least one refrigerating machine 102 may have changed (for example, the compressor speed V cannot be further increased) and a higher refrigeration capacity cannot be achieved. k-ch Therefore, in Step S207, one more refrigerating machine 102 will be started, that is, the (n + 1)-th refrigerating machine 102 will be started, and then enter Step S204 as described above.

[0052] If the judgment result in Step S205 and / or Step S206 is No, that is:

[0053]

[0054] T k-chws ≤ T * k-chws × α2 and / or

[0055] (Q k-max,1 + Q k-max,2 +…Q k-max,n ) ≥ Q k-ch

[0056] It indicates that the refrigeration capacity of the refrigeration system 10 operating at the current moment k meets the expectation. Therefore, instead of starting one more chiller 102, it directly enters step S204 as described above.

[0057] Step S208. When there are at least two chillers 102 operating at the current moment k, determine whether the inlet guide vane (IGV) openings of the n chillers 102 operating at the current moment k k-n are all less than the second IGV threshold B. For example, the second IGV threshold B is approximately 30%.

[0058] If the determination result in step S208 is yes, then in step S209, one chiller 102 is shut down, and further in step S204, the chilled water temperature setpoint T at the chilled water outlet main pipe 120 at the next moment k + 1 is calculated * k+1-chws and the chilled water temperature setpoint T at the chilled water outlet 102a of each of the n - 1 chillers 102 operating at the next moment k + 1 is calculated * k+1-chws,n-1 to further calculate and adjust one or more operating parameters of each of the n - 1 chillers 102 operating at the next moment k + 1, such as the inlet guide vane opening IGV * k+1-n-1 、compressor speed V * k+1-n-1 、chilled water flow rate F * k+1-chw,n-1 and so on.

[0059] If the determination result in step S208 is no, then one chiller 102 will not be shut down, but directly enters step S204 as described above.

[0060] Optionally, the additional chiller 102 to be started is the one with better performance among those chillers 102 that have not been started among the multiple chillers 102. For example, the one chiller 102 with better performance is reflected by the relationship curve of the coefficient of performance (COP) - part - load ratio (PLR). Similarly, the chiller 102 to be shut down is the one with worse performance among those chillers 102 that are operating among the multiple chillers 102. For example, the one chiller 102 with worse performance can also be reflected by the relationship curve of the coefficient of performance (COP) - part - load ratio (PLR).

[0061] Figure 3 Shows the calculation of the chilled water temperature setpoint T at the chilled water outlet main pipe 120 at the current moment k * k-chwsFlowchart of an exemplary method 300. For example, the results calculated by means of the exemplary method 300 can be output to steps S201 and S205, and the exemplary method 300 can be utilized in step S204. The method 300 includes at least some of the multiple steps to be described in detail below.

[0062] Step S302. The cold load prediction model predicts and outputs the cold load Q at the previous moment k - 1 based on the external temperature T at the moment k - 2 immediately preceding and the detected (actual) cold load Q k-2,o and so on as inputs. For example, the method disclosed in PCT International Application PCT / CN2021 / 095676 can be at least partially utilized to determine the cold load prediction model. k-2-ch * k-1-ch

[0063] Step S304. The fuzzy algorithm calculates the chilled water temperature set point T at the main chilled water outlet pipe 120 at the current moment k based on the comparison between the predicted cold load Q at the previous moment k - 1 * k-1-ch and the detected (actual) cold load Q at the previous moment k - 1 k-1-ch , that is, generates a control instruction for performing fuzzy control on the chilled water temperature set point T at the main chilled water outlet pipe 120 at the current moment k * k-chws * k-chws k-2,o and (actual) cold load Q k-2-ch The predicted cold load Q at the previous moment k - 1 is greater than the (actual) cold load Q at the previous moment k - 1 * k-1-ch k-1-ch * k-chws a control instruction for increasing the chilled water temperature set point T at the main chilled water outlet pipe 120 at the current moment k by a certain amount is generated to save unnecessary power consumption; or, when the predicted cold load Q at the previous moment k - 1 based on the external temperature T at the moment k - 2 immediately preceding and the (actual) cold load Q k-2,o k-2-ch The predicted cold load Q at the previous moment k - 1 * k-1-ch ​​​​​​​Less than the (actual) cooling load Q at the previous moment k - 1 k-1-ch When, a control instruction is generated to reduce the chilled water temperature set point T at the chilled water outlet main pipe 120 at the current moment k by a certain amount * k-chws to ensure that the refrigeration demand can be met.

[0064] In the same way, the chilled water temperature set point T at the chilled water outlet main pipe 120 at the next moment k + 1 can be calculated * k+1-chws .

[0065] Optionally, the control instruction is further refined to indicate the chilled water temperature set point T at the chilled water outlet 102a of each of the n - 1 / n / n + 1 refrigeration units 102 operating at the next moment k + 1 (hereinafter, represented by n refrigeration units 102) * k+1-chws,n .

[0066] For example, based on:

[0067] The predicted cooling load Q at the next moment k + 1 * k+1-ch ;

[0068] The calculated cooling load Q that needs to be borne by the nth refrigeration unit 102 at the next moment k + 1 * k+1-ch,n , for example, the predicted cooling load Q at the next moment k + 1 can be evenly divided based on the number of n refrigeration units 102 operating at the next moment k + 1 * k+1-ch to obtain the cooling load Q that needs to be borne by the nth refrigeration unit 102 at the next moment k + 1 * k+1-ch,n ;

[0069] The calculated chilled water temperature set point T at the chilled water outlet main pipe 120 at the next moment k + 1 * k+1-chws ;

[0070] The detected chilled water temperature T at the chilled water return main pipe 122 at the next moment k + 1 k+1-chwr ;

[0071] And the chilled water flow rate F of the nth refrigeration unit 102 at the next moment k + 1 k+1-chw,n And the ratio E of the chilled water flow rate F at the chilled water outlet main pipe 120 and / or the chilled water return main pipe 122 at the next moment k + 1 k+1-chw of k+1-chw,n ,

[0072] Calculate the chilled water temperature set point T at the chilled water outlet 102a of the nth chiller 102 among the n chillers 102 to be operated at the next moment k + 1 * k+1,chws,n . That is:

[0073] T * k+1,chws,n = f(Q * k+1-ch , Q * k+1-ch,n , T * k+1-chws , T k+1-chwr , E k+1-chw,n )

[0074] For example, specifically,

[0075]

[0076] In step S306, based on the control instruction generated in step S304, for each chiller 102 among the n - 1 / n / n + 1 chillers 102 to be operated at the next moment k + 1, the chilled water temperature set point T * k+1,chws,i can be adjusted. For example, according to the control instruction, the chilled water temperature of each chiller 102 to be operated at the next moment k + 1 (for example, one hour) can be increased or decreased in steps of 0.25 °C (Celsius).

[0077] In step S308, the (actual) cooling load at each moment calculated using the values of the one or more operating parameters of the refrigeration system 10 monitored by the one or more sensors is used as the input for steps S302 and S304 in the next cycle for the next moment.

[0078] Figure 4 Shows an example of the hardware implementation of the device 400 for controlling the refrigeration system 10 according to one or more aspects of the present application. The device 400 for controlling the refrigeration system 10 may include a memory 410 and at least one processor 420. The processor 420 may be coupled to the memory 410 and is configured to execute the above-referenced Figure 2 and Figure 3One or both of the described methods 200 and 300. The processor 420 can be a general-purpose processor or can also be implemented as a combination of computing devices, such as, for example, a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in combination with a DSP core, or other such architectures. The memory 410 can store input data, output data, data generated by the processor 420, and / or instructions executed by the processor 420.

[0079] The various operations, models, and networks described in connection with the present application can be implemented as hardware, software executed by a processor, firmware, or any combination thereof. In accordance with one or more aspects of the present application, a machine (e.g., a computer) readable medium for controlling the refrigeration system 10 can store executable instructions for controlling the refrigeration system 10 that, when executed by a processor, can cause the processor to perform the methods 200 and 300 described above with reference to Figure 2 and Figure 3 One or both of the described methods 200 and 300. The machine readable medium includes both non-transitory machine storage media and communication media, and the communication media includes any medium that facilitates the transfer of a machine program from one location to another. Any connection can be appropriately referred to as a machine readable medium.

[0080] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, and machine readable storage media according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram can represent a module, a segment of a program, or a part of an instruction that contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks can occur in an order different from that noted in the figures. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based unit that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are equivalent.

[0081] The foregoing description of the present application is provided to enable those skilled in the art to use or implement various embodiments. Various modifications to the above embodiments will be apparent to those skilled in the art, and the basic principles defined herein can be applied to other embodiments without departing from the scope of the present application. Therefore, the scope of the claims is not intended to be limited to the embodiments disclosed herein, but is accorded the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling a refrigeration system (10), the refrigeration system (10) comprising a plurality of refrigerating machines (102), and the chilled water outlet (102a) of each refrigerating machine (102) being fluidly connected to a main chilled water outlet pipe (120). It is characterized in that The method includes starting one more refrigerating machine (102) when it is determined that at least one of the following three situations occurs: The inlet guide vane opening (IGV) of all the refrigerating machines (102) operating at the current moment (k) is greater than a first threshold value (A); The detected chilled water temperature (T k-chws ) at the chilled water outlet main pipe (120) at the current moment (k) is greater than the calculated product of the chilled water temperature set point (T * k-chws ) at the current moment (k) at the chilled water outlet main pipe (120) and the first coefficient (α1); and The detected chilled water temperature (T k-chws ) at the chilled water outlet main pipe (120) at the current moment (k) is greater than the calculated product of the chilled water temperature set point (T * k-chws ) at the chilled water outlet main pipe (120) at the current moment (k) and the second coefficient (α2), and the sum of the maximum cooling capacities (Q k-max,n ) of each chiller (102) among all the chillers (102) operating at the current moment (k) is less than the detected actual cooling load (Q k-ch ) at the current moment (k).

2. The method for controlling a refrigeration system (10) according to claim 1, characterized in that, The method (200) includes, when it is determined that the inlet guide vane opening (IGV) of all the refrigerating machines (102) operating at the current moment (k) is less than a second threshold value (B) and the number of all the refrigerating machines (102) operating at the current moment (k) is not less than two, shutting down one refrigerating machine (102).

3. The method for controlling a refrigeration system (10) according to claim 2, characterized in that, The one refrigerating machine (102) started additionally is a refrigerating machine (102) among the refrigerating machines (102) that have not been started and performs better based on the relationship curve of the operating efficiency (COP) and the part load ratio (PLR), and the one refrigerating machine (102) shut down is a refrigerating machine (102) among the refrigerating machines (102) that are operating and performs worse based on the relationship curve of the operating efficiency (COP) and the part load ratio (PLR).

4. The method for controlling a refrigeration system (10) according to claim 1, characterized in that, including at least one of the following: The first coefficient (α1) is in the range of 1.2 to 1.3; The second coefficient (α2) is in the range of 1 to 1.1; and The first coefficient (α1) is greater than the second coefficient (α2).

5. A method for controlling a refrigeration system (10) according to any one of claims 1 to 4, characterized in that, Based on the comparison between the cooling load (Q * k-1-ch ) predicted by the cooling load prediction model at the previous moment (k - 1) and the actual cooling load (Q * k-1-ch ) detected at the previous moment (k - 1), fuzzy control is performed on the chilled water temperature set point (T * k-chws ) at the chilled water outlet main pipe (120) at the current moment (k).

6. The method for controlling a refrigeration system (10) according to claim 5, characterized in that, When the cooling load (Q * k-1-ch ) predicted by the cooling load prediction model at the previous moment (k - 1) is greater than the actual cooling load (Q * k-1-ch ) detected at the previous moment (k - 1), increase the chilled water temperature setpoint (T * k-chws ) at the chilled water outlet main pipe (120) at the current moment (k); or When the (Q * k-1-ch ) predicted by the cooling load prediction model at the previous moment (k - 1) is less than the actual cooling load (Q * k-1-ch ) detected at the previous moment (k - 1), the chilled water temperature setpoint (T * k-chws ) at the chilled water outlet main pipe (120) at the current moment (k) is reduced.

7. A method for controlling a refrigeration system (10) according to any one of claims 1 to 4, characterized in that, Based on: Predicted cooling load (Q at the next moment (k+1) * k+1-ch ); The calculated cooling load (Q * k+1-ch,n ) that needs to be borne by a corresponding refrigeration machine (102) at the next moment (k + 1); Calculated chilled water temperature setpoint (T * k+1-chws ) at the chilled water outlet main pipe (120) at the next moment (k + 1); The detected chilled water temperature (T k+1-chwr ) at the chilled water return main pipe (122) at the next moment (k + 1); and the chilled water flow rate (F k+1-chw,n ) of the nth chiller (102) at the next moment (k + 1) and the chilled water flow rate (F k+1-chw ) at the chilled water outlet main pipe (120) and / or the chilled water return main pipe (122) at the next moment (k + 1), and the ratio (E k+1-chw,n ), Calculate the chilled water temperature setpoint (T * k+1,chws,n ) at the chilled water outlet (102a) of the corresponding one of all chillers (102) to operate at the next moment (k + 1).

8. The method for controlling a refrigeration system (10) according to claim 7, characterized in that, Calculate the chilled water temperature setpoint (T * k+1-chws,n ) at the chilled water outlet (102a) of each chiller (102) among all chillers (102) operating at the next moment (k + 1) based on the following formula:

9. A device (400) for controlling a refrigeration system (10), comprising: A processor (420); and A memory (410) storing executable instructions, and when the executable instructions are executed, the processor (420) is caused to execute the method for controlling the refrigeration system (10) according to any one of claims 1 to 8.

10. A machine-readable storage medium storing executable instructions, and when the executable instructions are executed by a processor, the method for controlling the refrigeration system (10) according to any one of claims 1 to 8 is implemented.

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