Flexible liquid cooling control method and system based on peak valley power

Abstract

The invention discloses a flexible liquid cooling control method and system based on peak-valley electricity. The method comprises the following steps: acquiring the total power consumption and the total calorific value of a data center in real time; the input power of the data center and the total refrigerating capacity of the liquid cooling system are controlled based on the total power consumption and the total heating value, and the optimal refrigerating capacity of each liquid cooling unit under the highest cooling efficiency is calculated; the refrigerating capacity output of each liquid cooling unit is controlled according to the optimal refrigerating capacity; the input power of the data center and the refrigerating capacity of the liquid cooling system are adjusted in real time according to the total power consumption and the total calorific value of the data center, the refrigerating capacity of each liquid cooling unit is further adjusted, the utilization efficiency and the cooling efficiency of liquid cooling resources are improved, the overall heat management efficiency of the data center is optimized, the temperature of the data center is effectively reduced, and the energy consumption of the data center is reduced. And the stability and reliability of the data center are improved.

Description

[0001] This is a divisional application based on the invention patent with an application date of December 17, 2024, an application number of 202411860822.7, and a title of "A Flexible Liquid Cooling Control Method and System for Data Center Power Storage Allocation". Technical Field

[0002] The present invention relates to the technical field of thermal management, and particularly to a flexible liquid cooling control method and system based on peak-valley electricity. Background Art

[0003] With the development of data centers, the use of energy storage systems as part of backup power or power supply in cabinets is gradually increasing. However, currently, centralized cabinets and centralized energy storage systems are not flexible enough in terms of energy distribution and capacity configuration. This inflexibility may lead to ineffective utilization of energy, affecting the overall operation efficiency and economy of the data center.

[0004] In the existing data center architecture, the liquid cooling systems of the liquid cooling system and the energy storage system are usually designed separately. This design results in low thermal efficiency because the two systems cannot work together to optimize heat transfer and utilization. At the same time, the separate systems increase construction and operation costs, and the economy is not good.

[0005] In summary, the existing data centers have deficiencies in the energy distribution and capacity configuration of the energy storage system and the design of the liquid cooling system. There is a need for a system that can achieve flexible control, make full use of battery and liquid cooling system resources, and be efficiently configured to improve the safety and economy of the data center. Summary of the Invention

[0006] The technical problem to be solved by the present invention is: to provide a flexible liquid cooling control method and system based on peak-valley electricity to achieve efficient and reasonable utilization of liquid cooling resources.

[0007] To solve the above technical problem, the technical solution adopted by the present invention is:

[0008] A flexible liquid cooling control method for data center power storage allocation, the data center includes a liquid cooling system, the liquid cooling system includes multiple groups of liquid cooling units, and the method includes the steps of:

[0009] S1. Obtain the total power consumption and total heat generation of the data center in real time;

[0010] The data center further includes an electrical cabinet system, a cabinet system, multiple groups of DC loads, and multiple groups of AC loads. Among them, the electrical cabinet system includes multiple groups of electrical cabinets, and the cabinet system includes multiple groups of cabinets;

[0011] Step S1 is specifically:

[0012] Obtain the power consumption of each cabinet, the power consumption of each liquid cooling unit, the power consumption of each DC load, and the power consumption of each AC load in real time, and obtain the heat generation of each cabinet and each electrical cabinet;

[0013] S2. Control the input power of the data center and the total cooling capacity of the liquid cooling system based on the total power consumption and the total heat generation, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency;

[0014] Each electrical cabinet, each cabinet, each DC load, and each AC load are connected to the DC bus through a power converter, and are connected to the AC source and the DC source through the DC bus and the power converter. The AC source includes an AC photovoltaic, a diesel generator, and a power grid, and the DC source includes a DC photovoltaic;

[0015] Step S2 includes the steps of:

[0016] Control the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is in the valley power period, execute step A1; if the current is in the peak power period, execute step A2;

[0017] A1. Control the input power of the data center to be provided entirely by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electrical cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0018] A2. Control the input power of the data center to be provided entirely by the electrical cabinet system, and control the DC photovoltaic, the AC photovoltaic, and the diesel generator to charge the electrical cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0019] S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

[0020] A flexible liquid cooling control method based on peak-valley electricity includes the steps of:

[0021] S1. Obtain the total power consumption and total heat generation of the data center in real time;

[0022] S2. Control the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is in the valley power period, execute step A1; if the current is in the peak power period, execute step A2;

[0023] A1. Control the input power of the data center to be entirely provided by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity.

[0024] A2. Control the input power of the data center to be entirely provided by the electric cabinet system, and control the DC photovoltaic, the AC photovoltaic, and the diesel generator to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity.

[0025] S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

[0026] To solve the above technical problems, the technical solution adopted by the present invention is:

[0027] A flexible liquid cooling control system for a data center with energy storage. The data center includes a liquid cooling system, and the liquid cooling system includes multiple groups of liquid cooling units.

[0028] The flexible liquid cooling control system for the data center with energy storage realizes the following steps:

[0029] S1. Obtain the total power consumption and total heat generation of the data center in real time.

[0030] The data center further includes an electric cabinet system, a cabinet system, multiple groups of DC loads, and multiple groups of AC loads. Among them, the electric cabinet system includes multiple groups of electric cabinets, and the cabinet system includes multiple groups of cabinets.

[0031] Step S1 is specifically:

[0032] Obtain the power consumption of each cabinet, the power consumption of each liquid cooling unit, the power consumption of each DC load, and the power consumption of each AC load in real time, and obtain the heat generation of each cabinet and each electric cabinet.

[0033] S2. Control the input power of the data center and the total cooling capacity of the liquid cooling system based on the total power consumption and the total heat generation, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency.

[0034] Each electric cabinet, each cabinet, each DC load, and each AC load are connected to the DC bus through a power converter, and are connected to the AC source and the DC source through the DC bus and the power converter. The AC source includes an AC photovoltaic, a diesel generator, and the power grid, and the DC source includes a DC photovoltaic.

[0035] Step S2 includes the steps:

[0036] Control the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is in the valley electricity period, execute step A1; if the current is in the peak electricity period, execute step A2;

[0037] A1. Control the input power of the data center to be provided entirely by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0038] A2. Control the input power of the data center to be provided entirely by the electric cabinet system, and control the DC photovoltaic, the AC photovoltaic, and the diesel generator to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0039] S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

[0040] A flexible liquid cooling control system based on peak-valley electricity, used for a data center equipped with a liquid cooling system, and the implementation includes the following steps:

[0041] S1. Obtain the total power consumption and total heat generation of the data center in real time;

[0042] S2. Control the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is in the valley electricity period, execute step A1; if the current is in the peak electricity period, execute step A2;

[0043] A1. Control the input power of the data center to be provided entirely by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0044] A2. Control the input power of the data center to be provided entirely by the electric cabinet system, and control the DC photovoltaic, the AC photovoltaic, and the diesel generator to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0045] S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

[0046] The beneficial effects of the present invention are as follows: A flexible liquid cooling control method and system based on peak-valley electricity according to the present invention adjusts the input power of the data center and the cooling capacity of the liquid cooling system in real time according to the total power consumption and total heat generation of the data center, further adjusts the cooling capacity of each liquid cooling unit, improves the utilization efficiency of liquid cooling resources and the cooling efficiency; at the same time, for peak-valley electricity periods, the data center adopts different control strategies to optimize the overall thermal management efficiency of the data center, effectively reduce the temperature of the data center, and improve the stability and reliability of the data center. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flowchart of a flexible liquid cooling control method for energy storage in a data center according to this embodiment;

[0048] Figure 2 is a framework diagram of a flexible liquid cooling control system for energy storage in a data center according to this embodiment;

[0049] Figure 3 is an overall structure diagram of a flexible liquid cooling control system for energy storage in a data center according to this embodiment;

[0050] Figure 4 is an extended connection diagram of flexible liquid cooling control systems for multiple data centers with energy storage according to this embodiment; BRIEF DESCRIPTION OF THE DRAWINGS:

[0052] 1. Overall structure of the flexible liquid cooling control system for energy storage in a data center. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] To describe in detail the technical content, achieved objectives and effects of the present invention, the following is described in conjunction with the embodiments and with reference to the accompanying drawings.

[0054] Please refer to Figure 1 , a flexible liquid cooling control method for energy storage in a data center, the data center includes a liquid cooling system, the liquid cooling system includes multiple groups of liquid cooling units, and the method includes the steps of:

[0055] S1. Obtain the total power consumption and total heat generation of the data center in real time;

[0056] The data center further includes an electrical cabinet system, a cabinet system, multiple groups of DC loads, and multiple groups of AC loads. Among them, the electrical cabinet system includes multiple groups of electrical cabinets, and the cabinet system includes multiple groups of cabinets;

[0057] Step S1 is specifically:

[0058] Obtain the power consumption of each cabinet, the power consumption of each liquid cooling unit, the power consumption of each DC load, and the power consumption of each AC load in real time, and obtain the heat generation of each cabinet and each electrical cabinet;

[0059] S2. Control the input power of the data center and the total cooling capacity of the liquid cooling system based on the total power consumption and the total heat generation, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency;

[0060] Each electrical cabinet, each server cabinet, each DC load, and each AC load are connected to the DC bus through a power converter, and are connected to the AC source and the DC source through the DC bus and the power converter. The AC source includes an AC photovoltaic, a diesel generator, and a power grid, and the DC source includes a DC photovoltaic;

[0061] Step S2 includes the steps of:

[0062] Control the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is in the valley power period, execute step A1; if the current is in the peak power period, execute step A2;

[0063] A1. Control the input power of the data center to be provided entirely by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electrical cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0064] A2. Control the input power of the data center to be provided entirely by the electrical cabinet system, and control the DC photovoltaic, the AC photovoltaic, and the diesel generator to charge the electrical cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0065] S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

[0066] As can be seen from the above description, the beneficial effects of the present invention are as follows: A flexible liquid cooling control method for data center energy storage according to the present invention adjusts the input power of the data center and the cooling capacity of the liquid cooling system in real time according to the total power consumption and the total heat generation of the data center, and further adjusts the cooling capacity of each liquid cooling unit, improving the utilization efficiency of liquid cooling resources and the cooling efficiency; at the same time, for peak and valley power periods, the data center adopts different control strategies to optimize the overall thermal management efficiency of the data center, effectively reducing the temperature of the data center and improving the stability and reliability of the data center.

[0067] Further, after step S3, it includes the steps of:

[0068] S4. Control the data center to enable a first preset number of electrical cabinets and a second preset number of server cabinets, and cool the data center based on the optimal cooling capacity by a third preset number of liquid cooling units.

[0069] As can be seen from the above description, a specific number of electric cabinets and cabinets are controlled to be enabled according to actual requirements, and a certain number of refrigeration units are enabled. Each refrigeration unit outputs the optimal refrigeration capacity to ensure that the total refrigeration capacity is accurately matched with the actual heat dissipation requirements of the data center. On the one hand, it avoids overheating of equipment caused by insufficient refrigeration, which affects performance and lifespan; on the other hand, it also prevents energy waste caused by excessive refrigeration, reduces the burden on individual refrigeration units, and improves the refrigeration utilization rate.

[0070] Further, step S4 is specifically as follows:

[0071] If it is the valley electricity period currently, then control the data center to enable the second preset number of cabinets, and cool the data center through the third preset number of liquid cooling units based on the optimal refrigeration capacity;

[0072] Otherwise, control the data center to enable the first preset number of electric cabinets and the second preset number of cabinets, and cool the data center through the third preset number of liquid cooling units based on the optimal refrigeration capacity.

[0073] As can be seen from the above description, during the valley electricity period, the power grid is used for power supply, the electric cabinets are not enabled, and the liquid cooling system only needs to cool the cabinets; while during the peak electricity period, the electric cabinets are turned on, and the electric cabinets are charged through other low-cost methods except the power grid. At this time, the liquid cooling system needs to cool the cabinets and the electric cabinets. That is, according to different electricity usage periods, different control measures are adopted to control the reasonable allocation of equipment resources, reduce the electricity cost, improve the energy utilization efficiency, and enhance the overall operation efficiency of the data center.

[0074] Further, during the valley electricity period, the calculation of the optimal refrigeration capacity G1 is specifically as follows:

[0075] D1≥{A1+A2+…+A i}+{C1+C2+…+C j}+H1+H2;

[0076] {G1+G2+…+G j}≥{E1+E2+…+E i};

[0077] Where:

[0078] A1 = A2 = … = A i ;

[0079] E1 = E2 = … = E i ;

[0080] A1 = O×E1;

[0081] C1 = C2 = … = C j ;

[0082] G1 = G2 = … = G j ;

[0083] C1 = Q × G1;

[0084] Obtained:

[0085] D1 ≥ i·A1 + j·C1;

[0086] or j·G1 ≥ i·E1;

[0087] where, A1 to A i are the power consumptions of cabinets 1 to i, E1 to E i are the heat generations of cabinets 1 to i, O is a constant, indicating that there is a conversion relationship between A i and E i C1 to C j are the power consumptions of water-cooled units 1 to j, G1 to G j are the refrigerating capacities of water-cooled units 1 to j, Q is a constant, indicating that there is a conversion relationship between C j and G j H1 is the total power consumption of DC loads, H2 is the total power consumption of AC loads, and D1 is the output power of the power grid.

[0088] As can be seen from the above description, due to different power consumption periods, the control strategies adopted by the data center are also correspondingly different. During the valley power period, the data center does not activate the cabinets, and its input power is directly provided by the power grid. Therefore, the total power consumption needs to consider the cabinets, liquid cooling units, DC loads, and AC loads, and the total heat generation only considers the cabinets.

[0089] Furthermore, during the peak power period, the calculation of the optimal refrigerating capacity G1 is specifically as follows:

[0090] {B1 + B2 + … + B n} ≥ {A1 + A2 + … + A i} + {C1 + C2 + … + C j} + H1 + H2;

[0091] {G1 + G2 + … + G i} ≥ {E1 + E2 + … + E j} + {F1 + F2 + … + F n};

[0092] Wherein:

[0093] A1 = A2 = … = A i ;

[0094] E1 = E2 = … = E i ;

[0095] A1 = O × E1;

[0096] C1 = C2 = … = C j ;

[0097] G1 = G2 = … = G j ;

[0098] C1 = Q × G1;

[0099] B1 = B2 = … = B n ;

[0100] F1 = F2 = … = F n ;

[0101] B1 = P × F1;

[0102] That is:

[0103] n·B1 ≥ i·A1 + j·C1 + H1 + H2;

[0104] i·G1 ≥ j·E1 + n·F1

[0105] Substitute:

[0106] A1 = O × E1;

[0107] B1 = P × F1;

[0108] C1 = Q × G1;

[0109] Get:

[0110]

[0111] When the heat generation of n electrical cabinets is the same as that of i cabinet units, the thermal efficiency of the water-cooled unit is the highest, that is, n·F1 = i·E1. Let:

[0112]

[0113] Then:

[0114]

[0115] Among them, B1~B n is the power consumption of electrical cabinets 1~n, F1~F n is the heat generation of electrical cabinets 1~n, P is a constant, indicating the conversion relationship between B n and F n A1~A i is the power consumption of cabinet units 1~i, E1~E i is the heat generation of cabinet units 1~i, O is a constant, indicating the conversion relationship between A i and E i C1~Cj is the power consumption of water-cooled units 1 to j, G1 to G j is the refrigerating capacity of water-cooled units 1 to j, Q is a constant, representing C j and G j There is a conversion relationship between them. H1 is the total power consumption of DC loads, and H2 is the total power consumption of AC loads.

[0116] As can be seen from the above description, due to different power consumption periods, the control strategies adopted by the data center are also correspondingly different. During peak power periods, the data center does not use the power input provided by the power grid but activates the electrical cabinets. Therefore, all the input power is provided by the electrical cabinets. The total power consumption needs to consider the cabinets, liquid-cooled units, DC loads, and AC loads, and the total heat generation needs to consider the electrical cabinets and cabinets.

[0117] Please refer to Figure 2 , a flexible liquid cooling control system for data center energy storage, the data center includes a liquid cooling system, and the liquid cooling system includes multiple groups of liquid cooling units;

[0118] The flexible liquid cooling control system for data center energy storage realizes the following steps:

[0119] S1. Real-time obtain the total power consumption and total heat generation of the data center;

[0120] The data center also includes an electrical cabinet system, a cabinet system, multiple groups of DC loads, and multiple groups of AC loads. Among them, the electrical cabinet system includes multiple groups of electrical cabinets, and the cabinet system includes multiple groups of cabinets;

[0121] Step S1 is specifically:

[0122] Real-time obtain the power consumption of each cabinet, the power consumption of each liquid cooling unit, the power consumption of each DC load, and the power consumption of each AC load, and obtain the heat generation of each cabinet and each electrical cabinet;

[0123] S2. Based on the total power consumption and the total heat generation, control the input power of the data center and the total refrigerating capacity of the liquid cooling system, and calculate the optimal refrigerating capacity of each liquid cooling unit under the highest cooling efficiency;

[0124] Each electrical cabinet, each cabinet, each DC load, and each AC load are connected to the DC bus through a power converter, and are connected to the AC source and DC source through the DC bus and the power converter. The AC source includes AC photovoltaic, diesel generator, and power grid, and the DC source includes DC photovoltaic;

[0125] Step S2 includes steps:

[0126] Control the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is the valley electricity period, execute step A1; if the current is the peak electricity period, execute step A2;

[0127] A1. Control that all the input power of the data center is provided by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation and the total cooling capacity;

[0128] A2. Control that all the input power of the data center is provided by the electric cabinet system, and control the DC photovoltaic, the AC photovoltaic and the diesel generator to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation and the total cooling capacity;

[0129] S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

[0130] As can be seen from the above description, the beneficial effects of the present invention are as follows: A flexible liquid cooling control system for data center with energy storage according to the present invention adjusts the input power of the data center and the cooling capacity of the liquid cooling system in real time according to the total power consumption and the total heat generation of the data center, and further adjusts the cooling capacity of each liquid cooling unit, improving the utilization efficiency of liquid cooling resources and the cooling efficiency; at the same time, for peak and valley electricity periods, the data center adopts different control strategies to realize the optimization of the overall thermal management efficiency of the data center, effectively reducing the temperature of the data center and improving the stability and reliability of the data center.

[0131] Further, after step S3, it includes the step:

[0132] S4. Control the data center to enable the first preset number of electric cabinets and the second preset number of cabinets, and cool the data center based on the optimal cooling capacity by the third preset number of liquid cooling units.

[0133] As can be seen from the above description, control the enabling of a specific number of electric cabinets and cabinets according to actual needs and enable a certain number of refrigeration units, and each refrigeration unit outputs the optimal cooling capacity, ensuring that the total cooling capacity is accurately matched with the actual heat dissipation requirements of the data center. On the one hand, it avoids equipment overheating caused by insufficient cooling, affecting performance and lifespan; on the other hand, it also prevents energy waste caused by excessive cooling, reduces the burden on a single refrigeration unit, and improves the refrigeration utilization rate.

[0134] Further, step S4 is specifically:

[0135] If it is currently the valley electricity period, control the data center to enable the second preset number of cabinets, and use the third preset number of liquid cooling units to cool the data center based on the optimal cooling capacity;

[0136] Otherwise, control the data center to enable the first preset number of electric cabinets and the second preset number of cabinets, and use the third preset number of liquid cooling units to cool the data center based on the optimal cooling capacity.

[0137] As can be seen from the above description, during the valley electricity period, grid power is used, the electric cabinets are not enabled, and the liquid cooling system only needs to cool the cabinets; while during the peak electricity period, the electric cabinets are turned on, and the electric cabinets are charged through other low-cost methods except the grid. At this time, the liquid cooling system needs to cool the cabinets and the electric cabinets, that is, according to different electricity usage periods, different control measures are adopted to control the reasonable allocation of equipment resources, reduce the electricity cost, improve the energy utilization efficiency, and enhance the overall operation efficiency of the data center.

[0138] Further, during the valley electricity period, the specific calculation of the optimal cooling capacity G1 is as follows:

[0139] D1≥{A1+A2+…+A i}+{C1+C2+…+C j}+H1+H2;

[0140] {G1+G2+…+G j}≥{E1+E2+…+E i};

[0141] Where:

[0142] A1=A2=…=A i ;

[0143] E1=E2=…=E i ;

[0144] A1=O×E1;

[0145] C1=C2=…=C j ;

[0146] G1=G2=…=G j ;

[0147] C1=Q×G1;

[0148] Obtained:

[0149] D1≥i·A1+j·C1;

[0150] Or j·G1≥i·E1;

[0151] Among them, A1~Ai is the power consumption of cabinets 1 to i, E1 to E i is the heat generation of cabinets 1 to i, O is a constant, representing A i and E i there is a conversion relationship between them, C1 to C j is the power consumption of water-cooled units 1 to j, G1 to G j is the cooling capacity of water-cooled units 1 to j, Q is a constant, representing C j and G j there is a conversion relationship between them, H1 is the total power consumption of DC loads, H2 is the total power consumption of AC loads, and D1 is the output power of the power grid.

[0152] As can be seen from the above description, due to different electricity consumption periods, the control strategies adopted by the data center are also correspondingly different. During off-peak electricity periods, the data center does not activate the cabinets, and its input power is directly provided by the power grid. Therefore, the total power consumption needs to consider the cabinets, liquid cooling units, DC loads, and AC loads, and the total heat generation only considers the cabinets.

[0153] Furthermore, during peak electricity periods, the calculation of the optimal cooling capacity G1 is specifically as follows:

[0154] {B1 + B2 + … + B n} ≥ {A1 + A2 + … + A i} + {C1 + C2 + … + C j} + H1 + H2;

[0155] {G1 + G2 + … + G i} ≥ {E1 + E2 + … + E j} + {F1 + F2 + … + F n};

[0156] Where:

[0157] A1 = A2 = … = A i ;

[0158] E1 = E2 = … = E i ;

[0159] A1 = O × E1;

[0160] C1 = C2 = … = C j ;

[0161] G1 = G2 = … = G j ;

[0162] C1 = Q × G1;

[0163] B1 = B2 = … = B n ;

[0164] F1 = F2 = … = Fn ;

[0165] B1 = P × F1;

[0166] That is:

[0167] n·B1 ≥ i·A1 + j·C1 + H1 + H2;

[0168] ivG1 ≥ j·E1 + n·F1

[0169] Substitute:

[0170] A1 = O × E1;

[0171] B1 = P × F1;

[0172] C1 = Q × G1;

[0173] Get:

[0174]

[0175] When the heat generation of n electrical cabinets is the same as that of i mechanical cabinets, the thermal efficiency of the water-cooled unit is the highest, that is, n·F1 = i·E1. Let:

[0176]

[0177] Then:

[0178]

[0179] Among them, B1 to B n are the power consumptions of electrical cabinets 1 to n, F1 to F n are the heat generations of electrical cabinets 1 to n, P is a constant, indicating the conversion relationship between Bn and Fn, A1 to A i are the power consumptions of mechanical cabinets 1 to i, E1 to E i are the heat generations of mechanical cabinets 1 to i, O is a constant, indicating the conversion relationship between A i and E i , C1 to C j are the power consumptions of water-cooled units 1 to j, G1 to G j are the refrigeration capacities of water-cooled units 1 to j, Q is a constant, indicating the conversion relationship between C j and G j , H1 is the total power consumption of DC loads, and H2 is the total power consumption of AC loads.

[0180] As described above, due to different electricity consumption periods, the control strategies adopted by the data center are correspondingly different. During peak electricity periods, the data center does not use the input power provided by the power grid but activates the electrical cabinets. Therefore, all the input power is provided by the electrical cabinets, and the total power consumption needs to consider the cabinets, liquid cooling units, DC loads, and AC loads. The total heat generation needs to consider the electrical cabinets and the cabinets.

[0181] A flexible liquid cooling control method and system for energy storage allocation in a data center are applicable to the flexible control of the overall liquid cooling system of a data center equipped with an energy storage system.

[0182] Please refer to Figure 1 and Figure 2 , Example 1 of the present invention is as follows:

[0183] A flexible liquid cooling control method for energy storage allocation in a data center, the data center includes a liquid cooling system, the liquid cooling system includes multiple groups of liquid cooling units, and the method includes the steps of:

[0184] S1. Obtain the total power consumption and total heat generation of the data center in real time;

[0185] The data center further includes an electrical cabinet system, a cabinet system, multiple groups of DC loads, and multiple groups of AC loads. Among them, the electrical cabinet system includes multiple groups of electrical cabinets, and the cabinet system includes multiple groups of cabinets;

[0186] Step S1 is specifically:

[0187] Obtain the power consumption of each cabinet, the power consumption of each liquid cooling unit, the power consumption of each DC load, and the power consumption of each AC load in real time, and obtain the heat generation of each cabinet and each electrical cabinet;

[0188] S2. Control the input power of the data center and the total cooling capacity of the liquid cooling system based on the total power consumption and the total heat generation, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency;

[0189] Each electrical cabinet, each cabinet, each DC load, and each AC load are connected to the DC bus through a power converter, and are connected to the AC source and the DC source through the DC bus and the power converter. The AC source includes an AC photovoltaic, a diesel generator, and a power grid, and the DC source includes a DC photovoltaic;

[0190] In this embodiment, the architecture of the data center of the liquid cooling system is composed of multiple groups of electrical cabinets, multiple groups of cabinets, a water cooling system, an AC source, and a DC source, and are all connected to the 750V / 1500V DC bus. Among them, the source end is composed of n groups of electrical cabinets, several AC sources (power grid, diesel generator system, and AC photovoltaic), and a DC source (DC photovoltaic), and the load end is composed of j groups of water cooling units, a data center, other DC loads, and other AC loads. There are i groups of cabinets in the data center cabinets.

[0191] In the distribution of the water-cooling system, the electrical cabinet and the cabinet are both connected to the water-cooling system in a grouped and parallel manner. Through design and adjustment, the balance of the heat load is ensured, the optimization of the thermal design is guaranteed, and the most reasonable pipeline design is achieved.

[0192] Step S2 includes the steps:

[0193] Control the total cooling capacity of the liquid-cooling system based on the total heat generation of the data center, and detect the current power consumption period in real time. If the current is in the valley electricity period, execute step A1; if the current is in the peak electricity period, execute step A2;

[0194] A1: Control all the input power of the data center to be provided by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electrical cabinet system, and calculate the optimal cooling capacity of each liquid-cooling unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat generation, and the total cooling capacity;

[0195] In this embodiment, when the data center area is in the valley electricity state (the battery is used as backup power), the electrical cabinet system serves as a DC backup power system and does not serve as a power supply system. Then, the power supply of the data center is guaranteed by the power grid, and its output power is D1. The following conditions should be met to ensure the normal operation of the data center, specifically as follows:

[0196] Power consumption condition:

[0197] D1≥{A1+A2+…+A i}+{C1+C2+…+C j}+H1+H2;

[0198] Heat dissipation condition:

[0199] {G1+G2+…+G j}≥{E1+E2+…+E i};

[0200] Where:

[0201] A1=A2=…=A i ;

[0202] E1=E2=…=E i ;

[0203] A1=O×E1;

[0204] And:

[0205] C1=C2=…=C j ;

[0206] G1=G2=…=G j ;

[0207] C1 = Q × G1;

[0208] That is, the optimal cooling capacity G1 of a single-group water-cooled unit is:

[0209] D1 ≥ i·A1 + j·C1;

[0210] Or j·G1 ≥ i·E1;

[0211] Among them, A1 to A i are the power consumptions of cabinets 1 to i, E1 to E i are the heat dissipations of cabinets 1 to i, O is a constant, indicating that there is a conversion relationship between A i and E i C1 to C j are the power consumptions of water-cooled units 1 to j, G1 to G j are the cooling capacities of water-cooled units 1 to j, Q is a constant, indicating that there is a conversion relationship between C j and G j H1 is the total power consumption of the DC load, H2 is the total power consumption of the AC load, and D1 is the output power of the power grid.

[0212] In this embodiment, at this time, the cooling object of the water-cooled system is only the cabinets. The heat dissipations between the cabinets are the same, and the heat loads are the same. For the water-cooled system, it is already in a situation of relatively high efficiency. Only by ensuring that the above relationships are satisfied between each cabinet and the corresponding water-cooled unit can the corresponding number of cabinets and the corresponding number of water-cooled units be combined into a group to achieve efficient management and efficient allocation.

[0213] A2. Control that all the input power of the data center is provided by the cabinet system, and control the DC photovoltaic, the AC photovoltaic, and the diesel generator to charge the cabinet system. Calculate the optimal cooling capacity of each liquid-cooled unit at the highest cooling efficiency according to the total power consumption, the input power, the total heat dissipation, and the total cooling capacity;

[0214] In this embodiment, when the data center area is in the peak power state (the battery is the main power supply), the cabinet supplies power to the data center, and at the same time, the DC photovoltaic, the AC photovoltaic, and the diesel generator system charge the cabinet at the same time. Therefore, the following requirements need to be met to ensure the daily operation of the data center, specifically as follows:

[0215] Power consumption condition:

[0216] {B1 + B2 + … + B n} ≥ {A1 + A2 + … + A i} + {C1 + C2 + … + C j} + H1 + H2;

[0217] Heat dissipation condition:

[0218] {G1 + G2 + … + G i} ≥ {E1 + E2 + … + E j} + {F1 + F2 + … + F n};

[0219] Where:

[0220] A1 = A2 = … = A i ;

[0221] E1 = E2 = … = E i ;

[0222] A1 = O × E1;

[0223] C1 = C2 = … = C j ;

[0224] G1 = G2 = … = G j ;

[0225] C1 = Q × G1;

[0226] And:

[0227] B1 = B2 = … = B n ;

[0228] F1 = F2 = … = F n ;

[0229] B1 = P × F1;

[0230] That is:

[0231] n·B1 ≥ i·A1 + j·C1 + H1 + H2;

[0232] i·G1 ≥ j·E1 + n·F1

[0233] Substitute:

[0234] A1 = O × E1;

[0235] B1 = P × F1;

[0236] C1 = Q × G1;

[0237] Get:

[0238]

[0239] When the heat generation of n electrical cabinets is the same as that of i cabinet units, the heat efficiency of the small system equipped with a water-cooled chiller is the highest, that is, n·F1 = i·E1.

[0240] At this time, the cooling capacity of the water-cooled chiller:

[0241] Let:

[0242]

[0243] Then the optimal cooling capacity G1 of a single - group water - cooled chiller is as follows:

[0244]

[0245] When the cooling capacity is controlled according to the above formula, the highest cooling efficiency can be achieved;

[0246] Among them, B1 - B n is the power consumption of electrical cabinets 1 - n, F1 - F n is the heat generation of electrical cabinets 1 - n, P is a constant, indicating that there is a conversion relationship between B n and F n A1 - A i is the power consumption of cabinets 1 - i, E1 - E i is the heat generation of cabinets 1 - i, O is a constant, indicating that there is a conversion relationship between A i and E i C1 - C j is the power consumption of water - cooled chillers 1 - j, G1 - G j is the cooling capacity of water - cooled chillers 1 - j, Q is a constant, indicating that there is a conversion relationship between C j and G j H1 is the total power consumption of DC loads, and H2 is the total power consumption of AC loads.

[0247] S3. Control the cooling - capacity output of each liquid - cooled chiller according to the optimal cooling capacity.

[0248] Please refer to Figures 1 to 4 , Example 2 of the present invention is as follows:

[0249] A flexible liquid - cooling control method for data - center power storage and distribution. On the basis of Example 1, after step S3, it further includes the step:

[0250] S4. Control the data center to enable the first preset number of electrical cabinets and the second preset number of cabinets, and cool the data center based on the optimal cooling capacity through the third preset number of liquid - cooled chillers;

[0251] Step S4 is specifically:

[0252] If it is the valley - electricity period currently, then control the data center to enable the second preset number of cabinets, and cool the data center based on the optimal cooling capacity through the third preset number of liquid - cooled chillers;

[0253] Otherwise, control the data center to enable the first preset number of electrical cabinets and the second preset number of server cabinets, and cool the data center based on the optimal cooling capacity through the third preset number of liquid cooling units.

[0254] In this embodiment, as Figure 3 shown, when the data center area is in the valley electricity state (the battery is used as backup power), i groups of server cabinets are enabled. Correspondingly, j groups of water cooling units output cooling capacity to dissipate heat for the server cabinets, other AC loads, and other DC loads. At this time, i groups of server cabinets and j groups of water cooling can be combined into a group, and each group of water cooling outputs cooling capacity with the optimal cooling capacity G1, which can achieve efficient management and efficient liquid cooling resource allocation; when the data center area is in the peak electricity state (the battery is used as the main power supply), if i server cabinets are started, then n electrical cabinets are started to supply power to them, and at the same time, j groups of water cooling units are started, and each water cooling unit outputs cooling capacity with the optimal cooling capacity G1 to achieve the optimization of thermal management.

[0255] Furthermore, as Figure 4 shown, it can be expanded based on multiple data center energy storage systems to provide more sufficient computing power resources.

[0256] Please refer to Figures 2 to 4 , Embodiment 3 of the present invention is:

[0257] A flexible liquid cooling control system for data center energy storage, the data center includes a liquid cooling system, the liquid cooling system includes multiple groups of liquid cooling units, and the flexible liquid cooling control system for data center energy storage implements the steps in a flexible liquid cooling control method for data center energy storage described in Embodiment 1 or 2.

[0258] In summary, a flexible liquid cooling control method and system for data center energy storage provided by the present invention adjusts the input power of the data center and the cooling capacity of the liquid cooling system in real time according to the total power consumption and total heat generation of the data center, and further adjusts the cooling capacity of each liquid cooling unit to improve the utilization efficiency and cooling efficiency of liquid cooling resources; at the same time, for peak and valley electricity periods, the data center adopts different control strategies to achieve the optimization of the overall thermal management efficiency of the data center, effectively reduce the temperature of the data center, and improve the stability and reliability of the data center.

[0259] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. All equivalent transformations made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in related technical fields, are equally included in the patent protection scope of the present invention.

Claims

1. A flexible liquid cooling control method based on peak-valley electricity, characterized in that: Includes steps: S1. Obtaining the total power consumption and total heat generation of the data center in real time; S2, controlling the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detecting the current power consumption period in real time. If the current period is in the off-peak period, executing step A1; if the current period is in the peak period, executing step A2; A1. Control the input power of the data center to be provided entirely by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency according to the total power consumption, the input power, the total heat generation and the total cooling capacity; A2. Control the input power of the data center to be provided by the electric cabinet system, and control the DC photovoltaic, the AC photovoltaic and the diesel generator to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency according to the total power consumption, the input power, the total heat generation and the total cooling capacity; S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

2. The flexible liquid cooling control method based on peak-valley electricity according to claim 1 is characterized in that: During the off-peak period, the optimal cooling capacity G1 is calculated as follows: D1≥{A1+A2+…+A i }+{C1+C2+…+C j }+H1+H2; {G1+G2+…+G j }≥{E1+E2+…+E i }; in: <h2 style=";text-align:left;direction:ltr">A1=A2=…=A<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> ; E1=E2=…=E i ; A1=O×E1; C1=C2=…=C j ; G1=G2=…=G j ; C1=Q×G1; get: D1≥i·A1+j·C1; or j·G1≥i·E1; Among them, A1~A i is the power consumption of cabinets 1 to i, E1 to E i is the heat generated by cabinets 1 to i, O is a constant, indicating A i With E i There is a conversion relationship between C1 and C j is the power consumption of water cooling units 1~j, G1~G j is the cooling capacity of water cooling units 1~j, Q is a constant, indicating C j With G j There is a conversion relationship between them, H1 is the total power consumption of DC load, H2 is the total power consumption of AC load, and D1 is the output power of the power grid.

3. The flexible liquid cooling control method based on peak-valley electricity according to claim 1 is characterized in that: During the peak electricity period, the optimal cooling capacity G1 is calculated as follows: {B1+B2+…+B n }≥{A1+A2+…+A i }+{C1+C2+…+C j }+H1+H2; {G1+G2+…+G i }≥{E1+E2+…+E j }+{F1+F2+…+F n }; in: <h2 style=";text-align:left;direction:ltr">A1=A2=…=A<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> ; E1=E2=…=E i ; A1=O×E1; C1=C2=…=C j ; G1=G2=…=G j ; C1=Q×G1; <h2 style=";text-align:left;direction:ltr">B1=B2=…=B<h2 style=";text-align:left;direction:ltr"> n <h2 style=";text-align:left;direction:ltr"> ; F1=F2=…=F n ; B1=P×F1; Right now: n·B1≥i·A1+j·C1+H1+H2; i·G1≥j·E1+n·F1 Bring in: A1=O×E1; B1=P×F1; C1=Q×G1; get: When the heat output of n electrical cabinets and i cabinets is the same, the thermal efficiency of the water cooling unit is the highest, that is, n·F1=i·E1, let: but: Among them, B1~B n is the power consumption of cabinets 1 to n, F1 to F n is the heat generated by the cabinet 1 to n, P is a constant, indicating B n With F n There is a conversion relationship between A1 and A i is the power consumption of cabinets 1 to i, E1 to E i is the heat generated by cabinets 1 to i, O is a constant, indicating A i With E i There is a conversion relationship between C1 and C j is the power consumption of water cooling units 1~j, G1~G j is the cooling capacity of water cooling units 1~j, Q is a constant, indicating C j With G j There is a conversion relationship between them, H1 is the total power consumption of DC load, and H2 is the total power consumption of AC load.

4. The flexible liquid cooling control method based on peak-valley electricity according to claim 1 is characterized in that: Step S3 and subsequent steps include: S4. Control the data center to enable a first preset number of electrical cabinets and a second preset number of cabinets, and cool the data center based on the optimal cooling capacity by using a third preset number of liquid cooling units.

5. The flexible liquid cooling control method based on peak-valley electricity according to claim 4 is characterized in that: Step S4 is specifically as follows: If it is currently a valley power period, controlling the data center to enable a second preset number of cabinets, and cooling the data center based on the optimal cooling capacity by using a third preset number of liquid cooling units; Otherwise, the data center is controlled to enable a first preset number of electrical cabinets and a second preset number of cabinets, and the data center is cooled based on the optimal cooling capacity by using a third preset number of liquid cooling units.

6. A flexible liquid cooling control system based on peak-valley electricity, used in a data center equipped with a liquid cooling system, characterized in that: The implementation consists of the following steps: S1. Obtaining the total power consumption and total heat generation of the data center in real time; S2, controlling the total cooling capacity of the liquid cooling system based on the total heat generation of the data center, and detecting the current power consumption period in real time. If the current period is in the off-peak period, executing step A1; if the current period is in the peak period, executing step A2; A1. Control the input power of the data center to be provided entirely by the power grid, control the AC photovoltaic and the DC photovoltaic to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency according to the total power consumption, the input power, the total heat generation and the total cooling capacity; A2. Control the input power of the data center to be provided by the electric cabinet system, and control the DC photovoltaic, the AC photovoltaic and the diesel generator to charge the electric cabinet system, and calculate the optimal cooling capacity of each liquid cooling unit under the highest cooling efficiency according to the total power consumption, the input power, the total heat generation and the total cooling capacity; S3. Control the cooling capacity output of each liquid cooling unit according to the optimal cooling capacity.

7. A flexible liquid cooling control system based on peak-valley electricity according to claim 6, characterized in that: During the off-peak period, the optimal cooling capacity G1 is calculated as follows: D1≥{A1+A2+…+A i }+{C1+C2+…+C j }+H1+H2; {G1+G2+…+G j }≥{E1+E2+…+E i }; in: <h2 style=";text-align:left;direction:ltr">A1=A2=…=A<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> ; E1=E2=…=E i ; A1=O×E1; C1=C2=…=C j ; G1=G2=…=G j ; C1=Q×G1; get: D1≥i·A1+j·C1; or j·G1≥i·E1; Among them, A1~A i is the power consumption of cabinets 1 to i, E1 to E i is the heat generated by cabinets 1 to i, O is a constant, indicating A i With E i There is a conversion relationship between C1 and C j is the power consumption of water cooling units 1~j, G1~G j is the cooling capacity of water cooling units 1~j, Q is a constant, indicating C j With G j There is a conversion relationship between them, H1 is the total power consumption of DC load, H2 is the total power consumption of AC load, and D1 is the output power of the power grid.

8. The flexible liquid cooling control system based on peak-valley electricity according to claim 6 is characterized in that: During the peak electricity period, the optimal cooling capacity G1 is calculated as follows: {B1+B2+…+B n }≥{A1+A2+…+A i }+{C1+C2+…+C j }+H1+H2; {G1+G2+…+G i }≥{E1+E2+…+E j }+{F1+F2+…+F n }; in: <h2 style=";text-align:left;direction:ltr">A1=A2=…=A<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> ; E1=E2=…=E i ; A1=O×E1; C1=C2=…=C j ; G1=G2=…=G j ; C1=Q×G1; <h2 style=";text-align:left;direction:ltr">B1=B2=…=B<h2 style=";text-align:left;direction:ltr"> n <h2 style=";text-align:left;direction:ltr"> ; F1=F2=…=F n ; B1=P×F1; Right now: n·B1≥i·A1+j·C1+H1+H2; ivG1≥j·E1+n·F1 Bring in: A1=O×E1; B1=P×F1; C1=Q×G1; get: When the heat output of n electrical cabinets and i cabinets is the same, the thermal efficiency of the water cooling unit is the highest, that is, n·F1=i·E1, let: but: Among them, B1~B n is the power consumption of cabinets 1 to n, F1 to F n is the heat generated by the cabinet 1 to n, P is a constant, indicating B n With F n There is a conversion relationship between A1 and A i is the power consumption of cabinets 1 to i, E1 to E i is the heat generated by cabinets 1 to i, O is a constant, indicating A i With E i There is a conversion relationship between C1 and C j is the power consumption of water cooling units 1~j, G1~G j is the cooling capacity of water cooling units 1~j, Q is a constant, indicating C j With G j There is a conversion relationship between them, H1 is the total power consumption of DC load, and H2 is the total power consumption of AC load.

9. The flexible liquid cooling control system based on peak-valley electricity according to claim 6 is characterized in that: Step S3 and subsequent steps include: S4. Control the data center to enable a first preset number of electrical cabinets and a second preset number of cabinets, and cool the data center based on the optimal cooling capacity by using a third preset number of liquid cooling units.

10. A flexible liquid cooling control system based on peak-valley electricity according to claim 9, characterized in that: Step S4 is specifically as follows: If it is currently a valley power period, controlling the data center to enable a second preset number of cabinets, and cooling the data center based on the optimal cooling capacity by using a third preset number of liquid cooling units; Otherwise, the data center is controlled to enable a first preset number of electrical cabinets and a second preset number of cabinets, and the data center is cooled based on the optimal cooling capacity by using a third preset number of liquid cooling units.

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