Group control optimization method, device and equipment for pump set of regional cold source system

Abstract

The invention provides a regional cold source system pump set group control optimization method, device and equipment. Relates to the field of regional cold source systems. The method comprises the following steps: for a building in each partition, determining a cooling load at a (t + t) th moment based on a cooling load at a t th moment and a cooling load at a (t-t) th moment; on the basis of the cooling load of the building in each subarea at the t + t moment and the expected supply and return water temperature difference of the chilled water, the expected operation flow of conveying and distributing the chilled water by the pump set in each subarea at the t + t moment is determined; and aiming at the pump set of each subarea, optimizing the running number and the running frequency of the pumps in the pump set based on the expected running flow of the pump set for conveying and distributing chilled water at the (t + t) th moment and the full-frequency running flow of the pump set to obtain the target running number and the target running frequency of the pumps in the pump set at the (t + t) th moment. The method can reduce the invalid loss of the cooling capacity and improve the energy utilization efficiency.

Description

Technical Field

[0001] The present invention relates to the field of district cooling source systems, and particularly to an optimized method, device and equipment for group control of pump sets in a district cooling source system. Background Art

[0002] In the field of architecture, as an efficient energy utilization method, the district cooling source system has been widely concerned and applied. This system generates cooling sources centrally and transports cold energy to each user terminal through a distribution pipe network to achieve centralized cooling for multiple buildings or regions. Compared with the traditional decentralized cooling method, the district cooling source system has significant advantages such as high energy utilization efficiency, convenient equipment maintenance and management, and small environmental impact.

[0003] In the process of realizing the inventive concept, it is found that although the district cooling source system has the above-mentioned significant advantages, in the district cooling source system, since the pump set control method is based on fixed set values or simple feedback control, it is difficult to adapt to the real-time changes of the system load and the differences in the cooling capacity requirements of different user terminals. Summary of the Invention

[0004] In view of this, the present invention provides an optimized method, device and equipment for group control of pump sets in a district cooling source system.

[0005] One aspect of the present invention provides an optimized method for group control of pump sets in a district cooling source system. The district cooling source system includes pump sets in multiple partitions, and each partition's pump set is used to transport chilled water to the buildings in the corresponding partition. The pump set includes multiple pumps. The optimized method for group control of pump sets in a district cooling source system includes: for each building in each partition: determining the cooling load at the (t + △t)-th moment based on the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment, where △t is a preset time step, and the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment are both determined based on the operating flow rate, outlet water temperature and return water temperature collected at the corresponding moments; determining the expected operating flow rate of each partition's pump set for transporting chilled water at the (t + △t)-th moment based on the cooling load at the (t + △t)-th moment of each building in each partition and the expected supply-return water temperature difference of the chilled water in each building in each partition; for each partition's pump set: optimizing the number of operating pumps and the operating frequency in the pump set based on the expected operating flow rate of the pump set for transporting chilled water at the (t + △t)-th moment and the full-frequency operating flow rate of the pump set to obtain the target number of operating pumps and the target operating frequency of the pumps in the pump set at the (t + △t)-th moment.

[0006] Another aspect of the present invention provides an optimized device for group control of pump sets in a district cooling source system. The district cooling source system includes pump sets in multiple partitions, and each partition's pump set is used to distribute chilled water to the buildings in the corresponding partition. The pump set includes multiple pumps. The optimized device for group control of pump sets in the district cooling source system includes: a first determination module, which for each partition's building, determines the chilled load at the (t + Δt)th moment based on the chilled load at the tth moment and the chilled load at the (t - Δt)th moment, where Δt is a preset time step, and the chilled load at the tth moment and the chilled load at the (t - Δt)th moment are both determined based on the operating flow rate, outlet water temperature, and return water temperature collected at the corresponding moments; a second determination module, which determines the expected operating flow rate of each partition's pump set for distributing chilled water at the (t + Δt)th moment based on the chilled load at the (t + Δt)th moment of each partition's building and the expected supply-return water temperature difference of the chilled water; and an optimization module, which for each partition's pump set, optimizes the number of operating pumps and the operating frequency in the pump set based on the expected operating flow rate of the pump set for distributing chilled water at the (t + Δt)th moment and the full-frequency operating flow rate of the pump set, to obtain the target number of operating pumps and the target operating frequency of the pumps in the pump set at the (t + Δt)th moment.

[0007] Another aspect of the present invention provides an electronic device, including: one or more processors; a memory for storing one or more computer programs, wherein the above-mentioned one or more processors execute the above-mentioned one or more computer programs to implement the steps of the above-mentioned method.

[0008] According to the embodiments of the present invention, by real-time monitoring and analyzing the change of chilled load in each partition, and combining with the expected supply-return water temperature difference, the expected operating flow rate of each partition's pump set for distributing chilled water after the preset time step is determined, and then the number of operating pumps and the operating frequency of the pump set are dynamically adjusted. Therefore, it can adapt to the real-time change of the load of the district cooling source system and the difference in the chilled water demand of users in different buildings, ensure that the pump sets in each partition of the district cooling source system operate in an optimal state under different load conditions, reduce the ineffective loss of chilled water, and improve the energy utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Through the following description of the embodiments of the present invention with reference to the drawings, the above and other objects, features, and advantages of the present invention will become more apparent.

[0010] Figure 1 The schematic diagram of a district cooling source system according to an embodiment of the present invention is shown.

[0011] Figure 2 The flowchart of the optimized method for group control of pump sets in a district cooling source system according to an embodiment of the present invention is shown.

[0012] Figure 3 The schematic diagram of determining the chilled load at the (t + Δt)th moment according to an embodiment of the present invention is shown.

[0013] Figure 4 Shows a block diagram of an optimized device for group control of pumps in a district cooling source system according to an embodiment of the present invention.

[0014] Figure 5 Schematically shows a block diagram of an electronic device suitable for implementing an optimized method for group control of pumps in a district cooling source system according to an embodiment of the present invention.

[0015]

Reference Numerals

[0016] 101 - Ground source heat pump system; 102 - Refrigeration system; 103 - Cold storage system; 104 - Cold water distributor; 105 - Cold water collector; 1061 - Primary and secondary pump group for Zone 1; 1062 - Primary and secondary pump group for Zone 2; 1063 - Primary and secondary pump group for Zone 3; 1071 - Buildings in Zone 1; 1072 - Buildings in Zone 2; 1073 - Buildings in Zone 3. Detailed Embodiments

[0017] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In the following detailed description, for the purpose of explanation, numerous specific details are set forth in order to provide a comprehensive understanding of the embodiments of the present invention. However, it is obvious that one or more embodiments can be implemented without these specific details. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts of the present invention.

[0018] The terms used herein are merely for describing specific embodiments and are not intended to limit the present invention. The terms "including", "comprising", etc. used herein indicate the presence of features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0019] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0020] In the case of using expressions such as "at least one of A, B, and C", generally, it should be interpreted according to the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include, but is not limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C).

[0021] In the process of implementing the inventive concept, it is found that in a district cooling source system, as a key hydraulic conveying device, the operating efficiency and energy consumption of the pump group directly affect the performance of the entire system. For example, for the secondary pump group, the control method is often based on fixed set values or simple feedback control, which is difficult to adapt to the real-time changes in system load and the differences in cooling demand at different user terminals. In addition, it will also cause ineffective loss of cooling capacity and increase the operating cost of the system.

[0022] Based on this, an embodiment of the present invention provides a method, device, and equipment for optimizing the group control of a pump group in a district cooling source system. The district cooling source system includes pump groups in multiple partitions, and the pump group in each partition is used to distribute chilled water to the buildings in the corresponding partition. The pump group includes multiple pumps. The method for optimizing the group control of the pump group in the district cooling source system includes: for each building in each partition: based on the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment, determine the cooling load at the (t + △t)-th moment, where △t is a preset time step, and the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment are both determined based on the operating flow rate, outlet water temperature, and return water temperature collected at the corresponding moments; based on the cooling load at the (t + △t)-th moment of each building in each partition and the desired supply-return water temperature difference of the chilled water in each building in each partition, determine the desired operating flow rate of the pump group in each partition for distributing chilled water at the (t + △t)-th moment; for each pump group in each partition: based on the desired operating flow rate of the pump group in each partition for distributing chilled water at the (t + △t)-th moment and the full-frequency operating flow rate of the pump group, optimize the number of operating pumps and the operating frequency in the pump group to obtain the target number of operating pumps and the target operating frequency of the pumps in the pump group at the (t + △t)-th moment.

[0023] The following will be through Figures 1 to 3 The method for optimizing the group control of the pump group in the district cooling source system according to the embodiment of the present invention will be described in detail.

[0024] The district cooling source system may include pump groups in multiple partitions, and the pump group in each partition may be used to distribute chilled water to the buildings in the corresponding partition. The pump group may include multiple pumps.

[0025] Figure 1 A schematic diagram of a district cooling source system according to an embodiment of the present invention is shown.

[0026] Such as Figure 1As shown in the figure, taking a three - partition and secondary pump as an example, the district cooling source system may include a ground - source heat pump system 101, a refrigeration system 102, a chilled - water storage system 103, a chilled - water distributor 104, a chilled - water collector 105, a secondary pump group 1061 for partition one, a secondary pump group 1062 for partition two, a secondary pump group 1063 for partition three, a building 1071 in partition one, a building 1072 in partition two, and a building 1073 in partition three, etc. The ground - source heat pump system 101 may include a ground - source heat pump main unit group and a primary pump group. The ground - source heat pump main unit group may include multiple ground - source heat pump main units, such as 3 shown in the figure. The primary pump group may include multiple primary pumps, such as 3 shown in the figure. The primary pumps are used to transport the chilled water generated by the chilled - water distributor and the chilled - water storage main unit group to the entire chilled - water collector, forming the primary - side circulation of the district cooling source system. The refrigeration system 102 may include a refrigeration main unit group and a primary pump group. The refrigeration main unit group may include multiple refrigeration main units, such as 3 shown in the figure. The chilled - water storage system 103 may include a chilled - water storage main unit group and a primary pump group. The chilled - water storage main unit group may include multiple chilled - water storage main units, such as 3 shown in the figure.

[0027] After the chilled - water return water in partition one, the chilled - water return water in partition two, and the chilled - water return water in partition three respectively return to the chilled - water distributor 104 through the return water pipelines, they can be respectively transported and distributed by the primary pump groups of the ground - source heat pump system 101, the refrigeration system 102, and the chilled - water storage system 103, and then enter the ground - source heat pump main unit group, the refrigeration main unit group, and the chilled - water storage main unit group for refrigeration. After refrigeration, they pass through the chilled - water collector 105, and then respectively pass through the secondary pump group 1061 for partition one, the secondary pump group 1062 for partition two, and the secondary pump group 1063 for partition three, and then transport and distribute the chilled water to the building 1071 in partition one, the building 1072 in partition two, and the building 1073 in partition three respectively. After the air - conditioning terminal equipment (such as fan coils, air - handling units, etc.) in the building 1071 in partition one, the building 1072 in partition two, and the building 1073 in partition three respectively release cold, the temperature of the chilled water rises, and the chilled - water return water in partition one, the chilled - water return water in partition two, and the chilled - water return water in partition three are respectively obtained. The secondary pump group may include multiple secondary pumps. The secondary pumps are used to transport the chilled water in the chilled - water collector to each air - conditioning terminal equipment (such as fan coils, air - handling units, etc.) in the building of this partition, forming the secondary - side circulation of the district cooling source system. The secondary pumps may be variable - frequency pumps, etc.

[0028] The building 1071 in partition one may be an office building, for example, and may include multiple buildings. The building 1072 in partition two may be a research and development building, for example, and may include multiple buildings. The building 1073 in partition three may be an employee dormitory building, for example, and may include multiple buildings.

[0029] It can be seen that as the key hydraulic transportation equipment, the operating efficiency and energy consumption of the pump group directly affect the performance of the entire system.

[0030] Figure 2 The flowchart of the optimization method for the group control of the pump sets in the regional cold source system according to an embodiment of the present invention is shown.

[0031] As Figure 2 shown, the optimization method for the group control of the pump sets in the regional cold source system includes operations S210 to S230.

[0032] In operation S210, for each building in each zone: based on the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment, determine the cooling load at the (t + △t)-th moment.

[0033] In operation S220, based on the cooling load at the (t + △t)-th moment of each building in each zone and the desired supply-return water temperature difference of the chilled water in each building in each zone, determine the desired operating flow rate of the pump sets for distributing chilled water in each zone at the (t + △t)-th moment.

[0034] In operation S230, for each pump set in each zone: based on the desired operating flow rate of the pump sets for distributing chilled water at the (t + △t)-th moment and the full-frequency operating flow rate of the pump sets, optimize the number of operating pumps and the operating frequency in the pump sets to obtain the target number of operating pumps and the target operating frequency in the pump sets at the (t + △t)-th moment.

[0035] In the embodiment of the present invention, △t can be a preset time step. For example, the preset time step can be 30 min, 1 h, etc. The cooling load at the t-th moment and the cooling load at the (t - △t)-th moment are both determined based on the operating flow rate, outlet water temperature, and return water temperature collected at the corresponding moments.

[0036] Exemplarily, each building in each zone may include multiple buildings. For each building in each zone: the operating flow rate of the chilled water at the t-th moment and the operating flow rate of the chilled water at the (t - △t)-th moment can be respectively collected by using flow sensors. The outlet water temperature and return water temperature of the chilled water at the t-th moment and the outlet water temperature and return water temperature of the chilled water at the (t - △t)-th moment can be respectively collected by using temperature sensors. Then, according to the cooling load calculation formula, the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment are respectively calculated. The cooling load calculation formula is not specifically limited in the present invention.

[0037] For each building in each zone: when the t-th moment is the starting moment, the designed cooling load of this zone can be determined as the cooling load at the t-th moment. The cooling load at the (t - △t)-th moment is 0. The neural network prediction model can be trained according to the cooling load at the historical moment and the cooling load at the next moment in the historical period. Then, the designed cooling load of this zone is input into the neural network prediction model to obtain the cooling load at the (t + △t)-th moment. The designed cooling load can be pre-configured according to actual experience.

[0038] The desired temperature difference between the supply water temperature and the return water temperature of the chilled water can be obtained based on the difference between the desired supply water temperature and the desired return water temperature of the chilled water. Both the desired supply water temperature and the desired return water temperature can be pre-configured according to actual requirements.

[0039] The mass in the basic heat formula can be converted into mass flow rate, and then the desired operating flow rate of the chilled water distributed by the pump set for each zone at the (t + Δt)-th moment can be calculated by substituting the cooling load of the building in each zone at the (t + Δt)-th moment and the desired temperature difference between the supply and return water of the chilled water.

[0040] The full-frequency operating flow rate of the pump set can be the sum of the full-frequency operating flow rates of each pump in the pump set. The full-frequency operating flow rate of each pump can be calculated based on the rated cooling capacity of the pump and the desired temperature difference between the supply and return water of the chilled water.

[0041] The target number of operating pumps and the target operating frequency of the pumps in the pump set can be determined according to the ratio of the desired operating flow rate of the chilled water distributed by the pump set at the (t + Δt)-th moment to the full-frequency operating flow rate of the pump set. For example, the ratio is compared with a threshold value to determine the number of pumps to be turned on, that is, the target number of operating pumps in the pump set, and then the operating frequency of each pump, that is, the target operating frequency of the pumps in the pump set, is calculated.

[0042] According to an embodiment of the present invention, by real-time monitoring and analyzing the change of the cooling load in each zone, combined with the desired temperature difference between the supply and return water, the desired operating flow rate of the chilled water distributed by the pump set in each zone after a preset time step is determined, and then the number of operating pumps and the operating frequency of the pump set are dynamically adjusted. Therefore, it can adapt to the real-time change of the load of the district cooling source system and the difference in the cooling capacity requirements of users in different buildings, ensure that the pump sets in each zone of the district cooling source system operate in an optimal state under different load conditions, reduce the ineffective loss of cooling capacity, and improve the energy utilization efficiency.

[0043] According to an embodiment of the present invention, multiple zones can be obtained by dividing multiple buildings based on the cooling capacity requirements of the multiple buildings.

[0044] Exemplarily, buildings with the same cooling capacity requirement can be divided into one zone. For example, residential buildings or houses can be divided into one zone, and office buildings or houses can be divided into one zone, etc.

[0045] Since multiple buildings are divided into zones based on the cooling capacity requirements of the multiple buildings, the number of operating pumps in the pump set for each zone can be optimized, the operating efficiency of the pump set for distributing chilled water to the corresponding zone buildings can be improved, and energy conservation and emission reduction can be achieved.

[0046] Figure 3 Shows a schematic diagram of determining the cooling load at the (t + Δt)-th moment according to an embodiment of the present invention.

[0047] Regarding the above Figure 2 For operation S210 in the above, for the buildings in each partition: Based on the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment, determining the cooling load at the (t + Δt)-th moment may include operations S311 to S315 as Figure 3 shown.

[0048] In operation S311, for the buildings in each partition: Determine whether the difference between the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment is less than a predetermined threshold. When the difference between the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment is less than the predetermined threshold, execute operations S312 to S314. When the difference between the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment is greater than or equal to the predetermined threshold, execute operation S315.

[0049] In operation S312, based on the cooling load at the t-th moment, the cooling load at the (t - Δt)-th moment, and the first smoothing factor, determine the cooling load level value at the t-th moment.

[0050] In operation S313, based on the second smoothing factor, the cooling load level value at the t-th moment, the cooling load level value at the (t - Δt)-th moment, and the cooling load trend value at the (t - Δt)-th moment, determine the cooling load trend value at the t-th moment.

[0051] In operation S314, based on the cooling load level value at the t-th moment and the cooling load trend value at the t-th moment, determine the cooling load at the (t + Δt)-th moment.

[0052] In operation S315, based on the first designed cooling load for the regional cold source system and the cooling load proportion coefficient of the buildings in each partition, determine the cooling load of the buildings in each partition at the (t + Δt)-th moment.

[0053] In an embodiment of the present invention, the predetermined threshold may be an empirical value. When the difference between the cooling loads is greater than or equal to the predetermined threshold, it may indicate a special situation of the system failure condition. When the difference between the cooling loads is less than the predetermined threshold, it may indicate a normal situation of the system operation.

[0054] Exemplarily, the first smoothing factor may be used to control the smoothing degree of the cooling loads of the buildings in each partition. The second smoothing factor may be used to control the smoothing degree of the cooling load change trend.

[0055] The cooling load at the (t + Δt)-th moment may be obtained by summing the cooling load level value at the t-th moment and the cooling load trend value at the t-th moment.

[0056] For example, when the difference between the cooling loads is less than the predetermined threshold, a mathematical model of double exponential moving average may be used to analyze the cooling load level value at the t-th moment of each partition , the cooling load trend value at the t-th moment of each zone , so as to predict the cooling load at the next moment, i.e., the (t + △t)-th moment, of each zone . represents the t-th moment, +1 represents the next moment, i.e., the (t + △t)-th moment, -1 represents the previous moment, i.e., the (t - △t)-th moment, represents the -th zone, indicates the cooling load level of the -th zone at the t-th moment, in kW. indicates the trend of the cooling load change of the -th zone at the t-th moment, in kW. The cooling load of the -th zone at the (t + △t)-th moment is expressed as , in kW.

[0057] Starting from the moment when the pump is started as the starting moment t = 1, the time difference between the moment t = 2 and the starting moment t = 1 is △t. Then can be expressed as shown in the following formula (1), can be expressed as shown in the following formula (2):

[0058] (1)

[0059] (2)

[0060] Among them, represents the cooling load level value at the starting moment of the -th zone, in kW; the cooling load trend value at the starting moment of the -th zone, in kW; represents the cooling load of the -th zone at the starting moment, in kW; represents the cooling load of the next moment of the -th zone at the starting moment, in kW.

[0061] For each moment, the recurrence formulas shown in the following formulas (3) and (4) can be obtained by recurrence according to the above method. Based on these recurrence formulas, calculate and , and calculate based on the following formula (5):

[0062] (3)

[0063] (4)

[0064] (5)

[0065] Among them, represents the cooling load of the th partition at the next moment, with the unit of kW; represents the cooling load of the th partition at the current moment, with the unit of kW; represents the cooling load level value of the th partition at the previous moment, with the unit of kW; represents the cooling load trend value of the th partition at the previous moment, with the unit of kW; represents the cooling load level value of the th partition at the current moment, with the unit of kW; represents the trend value of the change in the cooling load of the th partition at the current moment, with the unit of kW; represents the first smoothing factor; represents the second smoothing factor.

[0066] Since when the difference between the cooling loads is less than the predetermined threshold, the cooling loads of each partition are predicted by the double exponential moving average method. Therefore, it can ensure that when the system is operating normally, the smoothness of controlling the cooling loads of the buildings in each partition and the smoothness of controlling the change trend of the cooling loads are combined to jointly and dynamically update the cooling load level values and cooling load trend values of each partition, and accurately predict the cooling load at the next moment.

[0067] For example, when the difference between the cooling loads is greater than or equal to the predetermined threshold, the formula shown in the following formula (6) can be used for calculation:

[0068] (6)

[0069] Among them, represents the cooling load of the th partition at the next moment, with the unit of kW; represents the cooling load proportion coefficient of the building in the th partition; represents the first design cooling load of the regional chilled water system, with the unit of kW.

[0070] Since when the difference between the cooling loads is greater than or equal to the predetermined threshold, based on the first design cooling load of the regional chilled water system and the cooling load proportion coefficient of the building in each partition, the cooling load of the building in each partition at the moment of t + △t is determined. Therefore, it can accurately predict the cooling load at the next moment under special circumstances of system failure conditions, ensuring the accuracy and reliability of the prediction.

[0071] According to an embodiment of the present invention, the method for optimizing the group control of the pump set in the district cooling source system further includes: obtaining the total design cooling load according to the sum of the second design cooling loads of the buildings in multiple partitions; obtaining the initial cooling load proportion coefficient of the building in each partition according to the ratio of the second design cooling load of the building in each partition to the total design cooling load; and determining the initial cooling load proportion coefficient as the cooling load proportion coefficient.

[0072] In the embodiment of the present invention, the first design cooling load is greater than or equal to the second design cooling load.

[0073] Exemplarily, the initial cooling load proportion coefficient can be as shown in the following formula (7):

[0074] (7)

[0075] Wherein, represents the initial cooling load proportion coefficient of the building in the th partition; represents the second design cooling load of the building in the th partition, with the unit of kW; represents the number of partitions in the district cooling source system.

[0076] Since the design cooling load of the building based on each partition can reflect the cooling load proportion coefficient of the building in each partition, it is beneficial to accurately predict the cooling load at the next moment.

[0077] In the process of implementing the embodiment of the present invention, it is found that if the district cooling source system starts for a period of time, although the design cooling load of the building based on each partition can reflect the cooling load proportion coefficient of the building in each partition, but since the actual values of the cooling loads in each partition can be generated within a period of time after startup, due to the change of the cooling demand of the building, there may be a deviation between the actual value and the design value, which will affect the prediction accuracy of the cooling load at the next moment.

[0078] Based on this, in another embodiment of the present invention, the method for optimizing the group control of the pump set in the district cooling source system may further include: determining the cooling load proportion coefficient of the building in each partition based on the cooling load, the initial cooling load proportion coefficient and the relaxation factor of the building in each partition at the t-th moment.

[0079] In the embodiment of the present invention, the relaxation factor can be used to correct the robustness of the cooling load change.

[0080] For example, the formula shown in the following formula (8) can be used to determine the cooling load proportion coefficient of the building in each partition.

[0081] (8)

[0082] Wherein, , , , are the same as those described above and will not be elaborated here; represents the relaxation factor.

[0083] Due to the robustness of correcting the cooling load change based on the relaxation factor, the accuracy of the cooling load proportion coefficient of the building in each partition determined thereby is high, which is conducive to improving the accuracy of the cooling load prediction at the next moment.

[0084] In the process of implementing the embodiments of the present invention, it is found that although the desired temperature difference between the supply water temperature and the return water temperature of the chilled water can be obtained according to the difference between the desired supply water temperature and the desired return water temperature of the chilled water, due to the change of the temperature difference between the supply water and the return water in actual operation, the accuracy of the desired temperature difference between the supply water and the return water of the chilled water is low, which affects the operation of the system.

[0085] Based on this, in the embodiments of the present invention, the method for optimizing the group control of the pump group in the regional cold source system may further include: determining the desired temperature difference between the supply water and the return water of the chilled water for the building in each partition based on the desired return water temperature and the desired supply water temperature of the chilled water in the regional cold source system and the correction coefficient of the temperature difference between the supply water and the return water of the chilled water for the building in each partition.

[0086] Exemplarily, according to the difference between the desired return water temperature and the desired supply water temperature of the chilled water in the regional cold source system, the desired temperature difference between the supply water and the return water of the chilled water in the regional cold source system is obtained. According to the product of the desired temperature difference between the supply water and the return water of the chilled water in the regional cold source system and the correction coefficient of the temperature difference between the supply water and the return water of the chilled water for the building in each partition, the desired temperature difference between the supply water and the return water of the chilled water for the building in each partition is obtained.

[0087] For example, as shown in the following formula (9):

[0088] (9)

[0089] Wherein, represents the desired temperature difference between the supply water and the return water of the chilled water for the building in the th partition, with the unit of °C; represents the desired temperature difference between the supply water and the return water of the chilled water in the regional cold source system, with the unit of °C; represents the correction coefficient of the temperature difference between the supply water and the return water of the chilled water for the building in the th partition.

[0090] The desired return water temperature and the desired supply water temperature of the chilled water in the regional cold source system and the correction coefficient of the temperature difference between the supply water and the return water of the chilled water for the building in each partition can all be pre-configured.

[0091] In another example, the expected return water temperature of the chilled water for each zoned building can be determined based on the expected water supply temperature of the district cooling source system and the expected temperature difference between the supply and return water of the chilled water in each zoned building, as shown in the following formula (10):

[0092] (10)

[0093] Wherein: represents the expected return water temperature of the chilled water for the building in the th zone, with the unit of °C; represents the expected water supply temperature of the chilled water of the district cooling source system, with the unit of °C; represents the expected temperature difference between the supply and return water of the chilled water for the building in the th zone, with the unit of °C.

[0094] The expected operating flow rate of the chilled water distributed by the pump group in each zone at the (t + △t)th moment can be calculated by the following formula (11):

[0095] (11)

[0096] Wherein:

[0097] represents the expected operating flow rate of the chilled water distributed by the pump group in the th zone at the next moment, with the unit of ; represents the density of the chilled water, with the unit of ; represents the specific heat capacity of the chilled water, with the unit of ; and are the same as those defined above and will not be elaborated here.

[0098] Since the design parameters of the chilled water system are adjusted by using the correction coefficient of the temperature difference between the supply and return water of the chilled water in each zoned building, it is possible to adapt to the change of the temperature difference between the supply and return water in actual operation, thus ensuring the efficient and stable operation of the system under different working conditions.

[0099] The present invention comprehensively considers multiple factors such as the cooling load ratio of each zone of the district cooling source system, the chilled water supply temperature, and the expected temperature difference between the supply and return water, and can dynamically adapt to the real-time change of the system load and the difference in the cooling capacity requirements of different buildings. This intelligent control strategy ensures the stable operation of the system under various working conditions, avoids the problems of insufficient or excessive cooling capacity caused by load fluctuations, and improves the reliability of the system and user satisfaction.

[0100] According to an embodiment of the present invention, based on the expected operating flow rate of the pump group for distributing chilled water at the (t + △t)-th moment and the full-frequency operating flow rate of the pump group, the number of operating pumps and the operating frequency in the pump group are optimized to obtain the target number of operating pumps and the target operating frequency in the pump group at the (t + △t)-th moment, including: determining the full-frequency operating flow rate when different numbers of pumps are operating in the pump group; determining the operating strategy corresponding to the condition that the full-frequency operating flow rate is greater than the expected operating flow rate, where the operating strategy indicates the number of operating pumps; in the case of determining that there are at least two operating strategies, based on the operating head and the operating flow rate, determining the target operating strategy from the at least two operating strategies, so that the operating power generated when the pumps operate based on the target operating strategy is less than the operating power generated when the pumps operate based on other operating strategies among the at least two operating strategies; determining the number of operating pumps indicated by the target operating strategy as the target number of operating pumps; in the case of determining that there is one operating strategy, determining the number of operating pumps indicated by the operating strategy as the target number of operating pumps; based on the impedance of the chilled water distribution pipe network, the variable-frequency flow rate-head characteristics of the pump group with the target number of operating pumps, and the expected operating flow rate, determining the target operating frequency.

[0101] Exemplarily, based on the full-frequency operating flow rate when a single pump is operating, the full-frequency operating flow rate when different numbers of pumps are operating in the pump group is determined.

[0102] For example, when the pump in the pump group is a secondary pump, the calculation formula for the flow rate-head characteristic curve of a single secondary pump at full frequency can be shown as the following formula (12):

[0103] (12)

[0104] Where, represents the head of a single secondary pump at full frequency, with the unit of m; represents the flow rate of a single secondary pump at full frequency, with the unit of ; represents the constant term coefficient of the flow rate-head characteristic curve of a single secondary pump at full frequency; represents the first-order term coefficient of the flow rate-head characteristic curve of a single secondary pump at full frequency; represents the second-order term coefficient of the flow rate-head characteristic curve of a single secondary pump at full frequency; full frequency of the secondary pump can be understood as that in the secondary water supply system, the frequency of the variable-frequency pump reaches its maximum value, usually 50Hz, and at this time the pump operates at the power frequency. When the system pressure still does not meet the demand, other power-frequency pumps will be started to increase the water supply capacity.

[0105] The secondary pump groups in each zone operate in parallel, the secondary pump models in the zone are the same, the head is the same when each secondary pump operates in parallel, the number of secondary pumps in the -th zone is denoted as , and the number of operating secondary pumps in the secondary pump group in the -th zone is denoted as When the secondary pump group operates at full frequency, the calculation formula for the flow-head characteristic curve can be shown as the following formula (13):

[0106] (13)

[0107] Wherein, represents the number of operating secondary pumps in the secondary pump group of the th partition; represents the head of the secondary pump group operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated in parallel, with the unit of m; is the head of the first secondary pump operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of m; represents the head of the second secondary pump operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of m, and so on. represents the head of the th secondary pump operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of m; represents the flow rate of the secondary pump group operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of ; represents the flow rate of the first secondary pump operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of ; represents the flow rate of the second secondary pump operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of ; represents the flow rate of the th secondary pump operating at full frequency when secondary pumps in the secondary pump group of the th partition are operated, with the unit of ; represents the constant coefficient of the flow-head characteristic curve of a single secondary pump operating at full frequency in the th partition; represents the first-order term coefficient of the flow-head characteristic curve of a single secondary pump operating at full frequency in the th partition; represents the The quadratic coefficient of the flow head characteristic curve when a single secondary pump in a partition operates at full frequency; Indicates the operation of the secondary pump group in the th partition. When there are secondary pumps, the constant coefficient of the flow head characteristic curve when the secondary pump group operates at full frequency; Indicates the operation of the secondary pump group in the th partition. When there are secondary pumps, the linear coefficient of the flow head characteristic curve when the secondary pump group operates at full frequency; Indicates the 、 、 All are the same as the above representations and will not be elaborated here.

[0108] The secondary pump group can adjust the circulating flow through frequency conversion technology. When the frequency is , the calculation formula for the flow head characteristic curve of the secondary pump group can be shown as the following formula (14):

[0109] (14)

[0110] Where, Indicates the operation of the secondary pump group in the th partition. When there are secondary pumps, the head at the frequency of the secondary pump group, with the unit of m; Indicates the operation of the secondary pump group in the th partition. When there are secondary pumps, the flow rate at the frequency of the secondary pump group, with the unit of ; 、 All are the same as the above representations and will not be elaborated here.

[0111] Based on the impedance of the chilled water distribution pipe network in each partition and the variable frequency flow head characteristics of the secondary pump group in each partition, and can be determined. The calculation formula can be shown as the following formula (15):

[0112] (15)

[0113] The secondary pump group adjusts the circulating flow through frequency conversion technology. When the frequency is The calculation formula for the flow efficiency characteristic curve of the secondary pump group at this time can be shown as the following formula (16):

[0114] (16)

[0115] Among them, represents the operation efficiency of the secondary pump group at the frequency of the secondary pump group when the th partition operates secondary pumps; The coefficients of the flow efficiency characteristic curve of a single secondary pump in the , , all represent the th partition, and , , are all the same as the above representations and will not be elaborated here.

[0116] The power calculation formula of the secondary pump group can be shown as the following formula (17):

[0117] (17)

[0118] Among them, represents the operation efficiency of the secondary pump group at the frequency of the secondary pump group when the th partition operates secondary pumps; The unit of representing the specific gravity of the heat transfer medium circulating water is ; , , are all the same as the above representations and will not be elaborated here.

[0119] For the secondary pump group in each partition, the calculation formula for the maximum full-frequency operation flow at different numbers of operating secondary pumps is as follows formula (18):

[0120] (18)

[0121] Among them, represents the maximum head of the secondary pump group at full frequency when the th partition operates secondary pumps, with the unit of m; represents the maximum flow of the secondary pump group at full frequency when the th partition operates secondary pumps, with the unit of ; , , , 、 It is the same as the above representation and will not be elaborated here.

[0122] Exemplarily, can be determined as the full-frequency operation flow rate of the secondary pump group in the th partition when there are secondary pumps. If is taken as a possible number of operating secondary pumps in the secondary pump group, that is, corresponding to an operating strategy. It can be traversed from to , represents the total number of pumps in the pump group, and find the set of all possible numbers of operating secondary pumps in the secondary pump group, that is, all possible operating strategies.

[0123] Exemplarily, based on the impedance of the chilled water distribution pipe network in each partition , the variable-frequency flow rate and head characteristics of the secondary pump group in each partition, and the expected operating flow rate , the operating frequency of the secondary pump group can be determined, and further determine the operating head of the secondary pump group at the frequency when there are secondary pumps in each partition. The unit is m, and the calculation formula is as shown in the following formulas (19) to (20):

[0124] (19)

[0125] (20)

[0126] Wherein, , , , are the same as the above representation and will not be elaborated here.

[0127] Exemplarily, it is possible to traverse all the in the set of all possible numbers of operating secondary pumps in the secondary pump group, determine the operating frequency of its secondary pump group, and based on the operating head after frequency conversion of the secondary pump group and the expected operating flow rate , calculate the operating power of the secondary pump group according to the above formulas (16) and (17), and determine the target number of operating pumps and the corresponding target operating frequency thereby to minimize the system energy consumption.

[0128] By precisely controlling the number of operating pump units and their operating frequencies, the present invention finds the optimal operating scheme with the minimum operating power, effectively reducing the energy consumption of the pump units. In addition, the optimized operating strategy can reduce equipment wear, extend the service life of the equipment, lower equipment maintenance and replacement costs, and further reduce the overall life-cycle cost of the system. Moreover, by optimizing the operation of the pump units, the present invention significantly reduces the energy consumption of the system, thereby reducing carbon emissions and the emissions of other pollutants. This not only meets the requirements of energy conservation and emission reduction but also provides strong support for achieving sustainable development. In addition, the method for optimizing the group control of the pump units in the district cooling source system of the present invention is not only applicable to newly built district cooling source systems but also can upgrade and transform existing systems. Through simple hardware upgrades and software optimizations, energy-saving operation of the system can be achieved, with good flexibility and adaptability. In addition, the present invention can also be customized and optimized according to different system configurations and operating conditions to meet diverse user needs. In addition, the present invention provides new ideas and technical support for the optimized operation and energy conservation and consumption reduction of the district cooling source system, with theoretical advancement and practical application feasibility, and is expected to be widely applied in the centralized cooling systems in the building field, promoting technological progress.

[0129] Figure 4 The block diagram of the device for optimizing the group control of the pump units in the district cooling source system according to an embodiment of the present invention is shown.

[0130] As Figure 4 shown, the device 400 for optimizing the group control of the pump units in the district cooling source system includes a first determination module 410, a second determination module 420, and an optimization module 430.

[0131] The first determination module 410 is configured to, for each building in each zone: based on the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment, determine the cooling load at the (t + △t)-th moment, where △t is a preset time step, and the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment are both determined based on the operating flow rate, outlet water temperature, and return water temperature collected at the corresponding moments.

[0132] The second determination module 420 is configured to, based on the cooling load at the (t + △t)-th moment of each building in each zone and the desired supply-return water temperature difference of the chilled water, determine the desired operating flow rate of the pump units for distributing chilled water in each zone at the (t + △t)-th moment.

[0133] The optimization module 430 is configured to, for each pump unit in each zone: based on the desired operating flow rate of the pump units for distributing chilled water at the (t + △t)-th moment and the full-frequency operating flow rate of the pump units, optimize the number of operating pump units and the operating frequency of the pumps in the pump units to obtain the target number of operating pump units and the target operating frequency of the pumps in the pump units at the (t + △t)-th moment.

[0134] According to an embodiment of the present invention, any combination of the first determination module 410, the second determination module 420, and the optimization module 430 may be implemented in one module, or any one of them may be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules may be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the first determination module 410, the second determination module 420, and the optimization module 430 may be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on a substrate, a system in a package, an application specific integrated circuit (ASIC), or any other reasonable way of integrating or packaging circuits, etc., implemented by hardware or firmware, or implemented in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. Alternatively, at least one of the first determination module 410, the second determination module 420, and the optimization module 430 may be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is run.

[0135] It should be noted that the part of the regional cold source system pump group centralized control optimization device in the embodiment of the present invention corresponds to the part of the regional cold source system pump group centralized control optimization method in the embodiment of the present invention. For the description of the part of the regional cold source system pump group centralized control optimization device, please refer to the part of the regional cold source system pump group centralized control optimization method, which will not be elaborated here.

[0136] Figure 5 A block diagram of an electronic device suitable for implementing the regional cold source system pump group centralized control optimization method according to an embodiment of the present invention is schematically shown.

[0137] As Figure 5 shown, the electronic device 500 according to an embodiment of the present invention includes a processor 501, which can perform various appropriate actions and processes according to the program stored in the read only memory (ROM) 502 or the program loaded from the storage part 508 into the random access memory (RAM) 503. The processor 501 may include, for example, a general microprocessor (such as a CPU), an instruction set processor, and / or a related chipset, and / or a dedicated microprocessor (such as an application specific integrated circuit (ASIC)), etc. The processor 501 may also include on board memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0138] In the RAM 503, various programs and data required for the operation of the electronic device 500 are stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other via the bus 504. The processor 501 performs various operations of the method flow according to the embodiments of the present invention by executing the programs in the ROM 502 and / or the RAM 503. It should be noted that the programs can also be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 can also perform various operations of the method flow according to the embodiments of the present invention by executing the programs stored in one or more memories.

[0139] According to an embodiment of the present invention, the electronic device 500 may further include an input / output (I / O) interface 505, and the input / output (I / O) interface 505 is also connected to the bus 504. The electronic device 500 may further include one or more of the following components connected to the input / output (I / O) interface 505: an input part 506 including a keyboard, a mouse, etc.; an output part 507 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage part 508 including a hard disk, etc.; and a communication part 509 including a network interface card such as a LAN card, a modem, etc. The communication part 509 performs communication processing via a network such as the Internet. The drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read from it can be installed into the storage part 508 as needed.

[0140] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist separately without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiments of the present invention is implemented.

[0141] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the above-described ROM 502 and / or RAM 503 and / or one or more memories other than ROM 502 and RAM 503.

[0142] An embodiment of the present invention also includes a computer program product, which includes a computer program that contains program code for performing the method shown in the flowchart. When the computer program product runs in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present invention.

[0143] When the computer program is executed by the processor 501, it executes the above functions defined in the system / apparatus of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0144] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of a signal on a network medium, and be downloaded and installed through the communication part 509, and / or be installed from the removable medium 511. The program code included in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0145] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or be installed from the removable medium 511. When the computer program is executed by the processor 501, it executes the above functions defined in the system of the embodiment of the present invention. According to an embodiment of the present invention, the above-described systems, devices, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0146] In accordance with embodiments of the present invention, program code for executing the computer programs provided by the embodiments of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include, but are not limited to, such as Java, C++, Python, the "C" language, or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., by connecting through the Internet using an Internet service provider).

[0147] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a portion of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may 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 diagram or flowchart, as well as combinations of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0148] Those skilled in the art can understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features described in the various embodiments of the present invention can be combined and / or combined in various ways. All such combinations and / or combinations fall within the scope of the present invention.

[0149] The above describes the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although the embodiments are described separately above, this does not mean that the measures in each embodiment cannot be used advantageously in combination. Without departing from the scope of the present invention, those skilled in the art can make various substitutions and modifications, and all such substitutions and modifications should fall within the scope of the present invention.

Claims

1. A method for optimizing the group control of a pump group in a district cooling source system, characterized in that, The district cooling source system includes pump groups in multiple partitions, and each partition's pump group is used to distribute chilled water to the buildings in the corresponding partition. The pump group includes multiple pumps. The method includes: For each building in each partition: Based on the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment, determine the cooling load at the (t + Δt)-th moment, where Δt is a preset time step. The cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment are both determined based on the measured operating flow rate, supply water temperature, and return water temperature at the corresponding moments. Based on the cooling load at the (t + Δt)-th moment of each building in each partition and the desired supply-return water temperature difference of the chilled water in each building in each partition, determine the desired operating flow rate of the pump group in each partition for distributing the chilled water at the (t + Δt)-th moment. For each pump group in each partition: Based on the desired operating flow rate of the pump group for distributing the chilled water at the (t + Δt)-th moment and the full-frequency operating flow rate of the pump group, optimize the number of operating pumps and the operating frequency in the pump group to obtain the target number of operating pumps and the target operating frequency in the pump group at the (t + Δt)-th moment.

2. The method according to claim 1, wherein The step of determining the cooling load at the (t + Δt)-th moment based on the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment includes: For each building in each partition: When the difference between the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment is less than a predetermined threshold, Based on the cooling load at the t-th moment, the cooling load at the (t - Δt)-th moment, and a first smoothing factor, determine the cooling load level value at the t-th moment. The first smoothing factor is used to control the smoothing degree of the cooling load of the buildings in each partition. Based on a second smoothing factor, the cooling load level value at the t-th moment, the cooling load level value at the (t - Δt)-th moment, and the cooling load trend value at the (t - Δt)-th moment, determine the cooling load trend value at the t-th moment. The second smoothing factor is used to control the smoothing degree of the change trend of the cooling load. Based on the cooling load level value at the t-th moment and the cooling load trend value at the t-th moment, determine the cooling load at the (t + Δt)-th moment.

3. The method according to claim 2, characterized in that, The step of determining the cooling load at the (t + Δt)-th moment based on the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment includes: When the difference between the cooling load at the t-th moment and the cooling load at the (t - Δt)-th moment is greater than or equal to a predetermined threshold, Based on the first design cooling load for the district cooling source system and the cooling load proportion coefficient of each building in each partition, determine the cooling load at the (t + Δt)-th moment of each building in each partition.

4. The method according to claim 3, wherein The method further includes: Obtain the total design cooling load according to the sum of the second design cooling loads of the buildings in the multiple partitions. According to the ratio of the second design cooling load of each building in each partition to the total design cooling load, obtain the initial cooling load proportion coefficient of each building in each partition, where the first design cooling load is greater than or equal to the second design cooling load. Determine the initial cooling load proportion coefficient as the cooling load proportion coefficient.

5. The method according to claim 3, wherein The method further includes: Based on the cooling load, initial cooling load proportion coefficient, and relaxation factor of the building at the t-th moment for each partition, determine the cooling load proportion coefficient of the building for each partition, where the relaxation factor is used to correct the robustness of the change in cooling load.

6. The method according to claim 1, characterized in that The method further includes: Based on the desired return water temperature and desired supply water temperature of the chilled water of the regional chilled water source system and the chilled water supply and return temperature difference correction coefficient of the building for each partition, determine the desired supply and return temperature difference of the chilled water for the building for each partition.

7. The method according to claim 1, characterized in that, The optimizing the number of operating pumps and the operating frequency of the pumps in the pump group based on the desired operating flow rate of the chilled water delivered by the pump group at the (t + △t)-th moment and the full-frequency operating flow rate of the pump group, to obtain the target number of operating pumps and the target operating frequency of the pumps in the pump group at the (t + △t)-th moment, includes: Determine the full-frequency operating flow rate when different numbers of pumps in the pump group are operating; Determine the operating strategy corresponding to when the full-frequency operating flow rate is greater than the desired operating flow rate, where the operating strategy indicates the number of operating pumps; When it is determined that there are at least two operating strategies, based on the operating head and operating flow rate, determine the target operating strategy from the at least two operating strategies, so that the operating power generated when the pumps operate based on the target operating strategy is less than the operating power generated when the pumps operate based on other operating strategies among the at least two operating strategies; Determine the number of operating pumps indicated by the target operating strategy as the target number of operating pumps; When it is determined that there is one operating strategy, determine the number of operating pumps indicated by the operating strategy as the target number of operating pumps; Based on the impedance of the chilled water distribution pipe network, the variable-frequency flow rate and head characteristics of the pump group with the target number of operating pumps, and the desired operating flow rate, determine the target operating frequency.

8. The method according to any one of claims 1 to 7, characterized in that The multiple partitions are obtained by dividing multiple buildings based on the cooling load requirements of the multiple buildings.

9. An optimized device for group control of pumps in a regional cold source system, characterized in that, The regional chilled water source system includes pump groups for multiple partitions, and each partition's pump group is used to deliver chilled water to the buildings in the corresponding partition, and the pump group includes multiple pumps; The device includes: A first determination module, for each partition's building: based on the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment, determine the cooling load at the (t + △t)-th moment, where △t is a preset time step, and the cooling load at the t-th moment and the cooling load at the (t - △t)-th moment are both determined based on the operating flow rate, outlet water temperature, and return water temperature collected at the corresponding moments; A second determination module, for determining the desired operating flow rate of the chilled water delivered by each partition's pump group at the (t + △t)-th moment based on the cooling load of each partition's building at the (t + △t)-th moment and the desired supply and return temperature difference of the chilled water of each partition's building; and An optimization module, for each partition's pump group: based on the desired operating flow rate of the chilled water delivered by the pump group at the (t + △t)-th moment and the full-frequency operating flow rate of the pump group, optimize the number of operating pumps and the operating frequency of the pumps in the pump group, to obtain the target number of operating pumps and the target operating frequency of the pumps in the pump group at the (t + △t)-th moment.

10. An electronic device, comprising: one or more processors; a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 8.

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