A flexibility evaluation method and device based on a computing power center park multi-layer classification

Abstract

The application provides a flexibility evaluation method and device based on a multi-layer grading of a computing power center park, and belongs to the field of flexibility evaluation of computing power centers. The method comprises the following steps: according to the correlation with the business logic of the computing power center park, the flexibility of each device in the computing power center park is divided into multiple levels and grades; based on the division result of the levels and grades, the flexibility model of each level in the computing power center park is established respectively; and based on the flexibility model, the flexibility of the computing power center park is evaluated under different scenarios. The application can be applied to different configurations and adjustable allowed computing power center parks, and supports providing adjustment capacity for the power grid by using the flexibility under the premise of guaranteeing the reliability requirement of the computing power center energy consumption.

Description

Technical Field

[0001] This invention belongs to the field of computing center flexibility assessment, and specifically relates to a flexibility assessment method and device based on multi-level hierarchical structure of computing center campuses. Background Technology

[0002] The AI ​​technology revolution is triggering an explosive growth in demand for new computing power. Its high energy consumption and volatility are putting immense pressure on energy supply, making the coordinated development of power and computing power a future trend. Therefore, it is necessary to delve into the actual operation of computing centers and leverage the flexibility of each component within these centers, which support the underlying computing infrastructure, to promote the coordination of power and computing power from a flexible load perspective. In this process, establishing a precise model of the flexibility of computing center campuses and accurately assessing its flexibility is a key technology for providing grid regulation capabilities while ensuring the reliability of energy use in computing centers.

[0003] Existing methods for modeling and evaluating the flexibility of computing center campuses mainly fall into two categories: 1) The first category primarily focuses on modeling and evaluating the flexibility of a specific locality, including both local flexibility within the computing center and independent local flexibility outside the center. Local flexibility within the computing center could be exemplified by the flexibility of integrated storage batteries on the high-voltage direct current (HVDC) power supply side. For instance, Chinese patent application number 2024107735074, entitled "Method, Apparatus, Device, and Storage Medium for Battery Scheduling," proposes a method for modeling the flexibility of integrated storage batteries on the HVDC side. External, independent local flexibility could be exemplified by the flexibility of independent energy storage batteries within the computing center campus. For example, Chinese patent application number CN202111572321.5, entitled "A Data Center Campus Power Supply Coordination Planning Method Considering Multiple Resource Types," includes a method for modeling the flexibility of independent energy storage batteries within the computing center campus. 2) The second category primarily focuses on modeling and evaluating the overall energy flexibility of the computing center based solely on the adaptive changes in business load. For example, a Chinese patent application with patent number 201810735373 and invention title "Power System Congestion Management Method Considering Data Network Load Adjustment Potential" proposes a method for modeling the overall flexibility of computing center energy consumption based solely on the following changes in business load. However, neither of these methods is suitable for an accurate model of computing center campus flexibility, mainly because: (1) The first method is mainly for local flexibility and does not involve the coupling relationship between the flexibility of each part, so it cannot be directly used for accurate modeling and evaluation of computing center campus flexibility; (2) The second method is based on the assumption that all energy consumption and energy auxiliary equipment in the computing center campus automatically follow the adjustment of business load, but at the current stage, each device generally operates independently and business load is difficult to adjust, so it is not practical. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and propose a method and apparatus for evaluating the flexibility of computing center parks based on multi-level hierarchical structures. This invention is applicable to computing center parks with different configurations and adjustable allowable parameters, supporting the provision of grid regulation capabilities through their flexibility while ensuring the reliability of energy consumption in computing centers.

[0005] A first aspect of this invention proposes a flexibility assessment method based on a multi-level hierarchical structure of a computing center campus, comprising:

[0006] Based on their relevance to the business logic of the computing center park, the flexibility of each device in the computing center park is divided into multiple levels and grades. These levels include: no specificity, weak specificity, and strong specificity. No specificity indicates that the flexibility capacity of the corresponding device is not constrained by business needs and is not coupled with the business logic of the computing center park. Weak specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs. Strong specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs and is strongly coupled with the business logic of the computing center park.

[0007] Based on the division results of the aforementioned levels and grades, flexibility models for each level in the computing center park are established respectively.

[0008] Based on the aforementioned flexibility model, the flexibility of the computing center campus is evaluated under different scenarios.

[0009] In one specific embodiment of the present invention, the division of the flexibility of each device in the computing center park into multiple levels and grades includes:

[0010] 1) Level E: Flexibility provided by the lighting system, independent hydrogen energy system, and independent energy storage system on the user side within the computing center campus; among which:

[0011] The flexibility of the lighting system comes from its own energy consumption flexibility characteristics; the flexibility category is load reduction capability.

[0012] The flexibility of the independent hydrogen energy system comes from its own energy consumption flexibility characteristics; the flexibility category is long-term energy storage.

[0013] The flexibility of the user-side independent energy storage system comes from its own energy consumption flexibility characteristics; the flexibility category is energy storage.

[0014] Among them, the flexibility levels of level E are all without special characteristics;

[0015] 2) Level D: Flexibility provided by power supply reliability assurance equipment, including: diesel generator systems and batteries; wherein:

[0016] The flexibility of the diesel generator system is divided into three parts:

[0017] Part 1: For computing centers with low rack utilization, the source of flexibility for the diesel generator system is the redundancy of backup demand for the diesel generator system; the flexibility category is adjustable generator set; the flexibility level is no special feature.

[0018] Part Two: During periods of low business volume, the flexibility of the diesel generator system originates from the redundancy of the diesel generator system's backup demand; the flexibility category is follow-up redundancy; and the flexibility level is weak specificity.

[0019] Part Three: By adjusting the power consumption of business computing and storage requirements, IT equipment, and refrigeration equipment, the flexibility of the diesel generator system comes from the adaptive adjustment of backup requirements; the flexibility category is adaptive redundancy; and the flexibility level is strong specificity.

[0020] The flexibility of the battery is divided into three parts:

[0021] Part 1: For computing centers with low rack utilization rates, the source of battery flexibility is redundancy for backup battery demand; the flexibility category is battery energy storage; the flexibility level is no special feature.

[0022] Part Two: During periods of low business volume, the flexibility of the battery comes from the redundancy of battery backup demand; the flexibility category is follow-up redundancy; the flexibility level is weak specificity.

[0023] Part Three: By adjusting the computing and storage requirements of the business, the power consumption of IT equipment and cooling equipment, the flexibility of the battery comes from the adaptive adjustment of backup requirements; the flexibility category is adaptive redundancy; the flexibility level is strong specificity.

[0024] 3) Level C: Flexibility provided by refrigeration equipment;

[0025] The flexibility of the refrigeration equipment is divided into three parts:

[0026] Part 1: The flexibility of the refrigeration equipment comes from the adjustability of its power; the flexibility category is building-like energy storage; the flexibility level is weak specialization.

[0027] Part Two: The flexibility of the refrigeration equipment comes from the optimization of the combination of various refrigeration devices to achieve power consumption adjustment under a fixed cooling capacity requirement; the flexibility category is power adjustment achieved through combination optimization; the flexibility level is weak specificity.

[0028] Part Three: The flexibility of the cooling equipment comes from adjusting the computing and storage requirements of the business and the power consumption of IT equipment to achieve adaptive adjustment of the cooling equipment's power consumption; the flexibility category is the adaptive load of IT equipment power consumption; the flexibility level is strong specificity;

[0029] 4) Level B: Flexibility provided by IT equipment;

[0030] The flexibility of the IT equipment is divided into two parts:

[0031] Part 1: The source of the flexibility of the IT equipment is to achieve power consumption adjustment of IT equipment under fixed computing power requirements through the optimization of IT equipment combination; the flexibility category is to achieve power adjustment through combination optimization; the flexibility level is strong specificity;

[0032] Part Two: The source of the flexibility of the IT equipment is the adjustment of power consumption by regulating computing and storage requirements; the flexibility category is the load that follows computing and storage requirements; the flexibility level is strong specificity.

[0033] 5) Level A: Flexibility provided by the business logic of the computing center park;

[0034] The flexibility of the business logic comes from three sources:

[0035] Category 1: Business computing and storage requirements can be reduced; flexibility category is reduceable load.

[0036] The second category: the computing and storage requirements of the business can be shifted over time; the flexibility category is shiftable load.

[0037] The third category: the computing and storage requirements of the business are transferable on a spatial scale; the flexibility category is transferable load.

[0038] Among them, the flexibility level of Level A is strong specificity.

[0039] In one specific embodiment of the present invention, the method further includes:

[0040] Establish an E-level flexibility model, specifically including:

[0041] 1) A flexibility model for the lighting system, specifically including:

[0042] The flexibility of the lighting system is characterized as shown in Equation (1):

[0043] (1)

[0044] in, It is the first A time period; It is the first One lighting system unit; The lighting system is in the first The power corresponding to the shutdown portion of the lighting system during the [number] time period, i.e., the power of the lighting system during the [number]th [period]. Flexibility in adjusting for different time periods; It is a lighting system unit In the A portion of the power can be switched off during a specific time period, i.e., the lighting system unit. In the Maximum downward adjustment flexibility over a given time period; It means in the first Does the lighting system unit need to be activated during a specific time period? The 0-1 auxiliary variable for adjusting flexibility, with a value of 0 representing no call and a value of 1 representing call;

[0045] The maximum shutdown time constraint that can reduce lighting load is shown in equation (2):

[0046] (2)

[0047] in, This is the maximum number of time periods that the lighting system unit l can be turned off;

[0048] The maximum reduction flexibility constraint for the lighting load can be reduced, as shown in equation (3):

[0049] (3)

[0050] in, It is the lighting system unit l in the first The base state for each time period, with a value of 0 or 1. A value of 0 represents off, and a value of 1 represents on.

[0051] 2) Flexibility model of stand-alone hydrogen energy system, specifically including:

[0052] The flexibility of an independent hydrogen energy system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (4):

[0053] (4)

[0054] in, Indicates the first Each independent hydrogen energy system unit; It is an independent hydrogen energy system in the first The total discharge power of the independent hydrogen energy system in the time period, i.e., the total discharge power of the independent hydrogen energy system in the first time period. Flexibility in adjusting for different time periods; It is an independent hydrogen energy system The hydrogen fuel cell unit in the first Active power output over a given time period; It is an independent hydrogen energy system The hydrogen production equipment in the first Electricity load for a given time period;

[0055] Relevant constraints of hydrogen production equipment:

[0056] The relationship between the input power and output hydrogen of a hydrogen production device is shown in equation (5):

[0057] (5)

[0058] in, Indicates the electrolysis of water in the first stage Energy conversion efficiency over a time period; This refers to the density of hydrogen gas under standard conditions. It has the low calorific value of hydrogen. In the first The mass flow rate of hydrogen produced in a given time period;

[0059] The upper and lower limits of the input power of the hydrogen production equipment are shown in equation (6):

[0060] (6)

[0061] in, It is an independent hydrogen energy system The minimum input power of the hydrogen production equipment in the process; It is an independent hydrogen energy system The maximum input power of the hydrogen production equipment in the system; Independent hydrogen energy system The hydrogen production equipment in the first A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup;

[0062] Relevant constraints of hydrogen fuel cell units:

[0063] The relationship between the active power output of a hydrogen fuel cell unit and the hydrogen supply is shown in equation (7):

[0064] (7)

[0065] in, The high calorific value of hydrogen; For the power generation efficiency of hydrogen fuel cell units; For the first The mass flow rate of hydrogen is supplied over a specific time period;

[0066] The upper and lower limits of the active power output of the hydrogen fuel cell unit are shown in equation (8):

[0067] (8)

[0068] in, It is an independent hydrogen energy system The minimum active power output of hydrogen fuel cell units in China; It is an independent hydrogen energy system The maximum active power output of the hydrogen fuel cell unit in the system; Independent hydrogen energy system Hydrogen fuel cell units in the time period The 0-1 state variable has a value of 0 representing off and a value of 1 representing on;

[0069] Relevant constraints of hydrogen storage tanks:

[0070] The relationship between the gas storage capacity of the hydrogen storage tank and its filling and venting is shown in equation (9):

[0071] (9)

[0072] in, and They were respectively in the second The time period and the first Independent hydrogen energy systems for different time periods The total mass of hydrogen in the hydrogen storage tank;

[0073] The gas storage capacity constraint of the hydrogen storage tank is shown in equation (10):

[0074] (10)

[0075] in, and Each is an independent hydrogen energy system The minimum and maximum total hydrogen mass stored in the hydrogen storage tanks;

[0076] The constraints on the filling and venting rates of the hydrogen storage tank are shown in equations (11)-(12):

[0077] (11)

[0078] (12)

[0079] in, and Each is an independent hydrogen energy system The maximum filling and venting rates of the hydrogen storage tank;

[0080] 3) Flexibility model for user-side independent energy storage systems, specifically including:

[0081] The flexibility of an independent energy storage system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (13):

[0082] (13)

[0083] in, Representing the Each independent energy storage system unit; It is an independent energy storage system in the first The total discharge power of the independent energy storage system in the first time period, i.e., the total discharge power of the independent energy storage system in the first time period. Flexibility in adjusting for different time periods; It is an independent energy storage system In the Discharge power over a time period; It is an independent energy storage system In the Charging power over a specific time period;

[0084] The charging and discharging power constraints of the independent energy storage system are shown in equations (14)-(15):

[0085] (14)

[0086] (15)

[0087] in, It is an independent energy storage system The minimum allowable charging power; It is an independent energy storage system Maximum permissible charging power; It is an independent energy storage system The maximum permissible discharge power; It refers to an independent energy storage system. In the A 0-1 auxiliary variable indicating whether charging or discharging occurs within a given time period. A value of 0 represents no charging, and a value of 1 represents no discharging.

[0088] The relationship between the initial charge and charge / discharge capacity of an independent energy storage system is shown in equation (16):

[0089] (16)

[0090] in, , , Each is an independent energy storage system Natural power loss rate, charging efficiency, and discharging efficiency; , These represent independent energy storage systems. In the The time period and the first Battery usage over a specific time period;

[0091] The energy constraint of an independent energy storage system is shown in equation (17):

[0092] (17)

[0093] in, , Each is an independent energy storage system The minimum and maximum allowable power consumption.

[0094] In one specific embodiment of the present invention, the method further includes:

[0095] Establish a D-level flexibility model, specifically including:

[0096] 1) The flexibility model of the diesel generator system, specifically including:

[0097] The flexibility of the diesel generator system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (18):

[0098] (18)

[0099] in, Indicates the first Each diesel generator system unit; The diesel generator system is in the first The total discharge power of the diesel generator system in the specified time period, i.e., the total discharge power of the diesel generator system in the specified time period. Flexibility in adjusting for different time periods; It is a diesel generator system unit In the The amount of effort contributed during a specific time period;

[0100] The upper and lower limits of the output power of the diesel generator set itself are constrained as shown in equation (19):

[0101] (19)

[0102] in, It is a diesel generator system unit The minimum active power output; It is a diesel generator system unit Maximum active power output; This represents the diesel generator system unit. In time period The 0-1 state variable has a value of 0 representing off and a value of 1 representing on;

[0103] The maximum flexibility of diesel generator set adjustment is constrained by the uptime rate, as shown in equation (20):

[0104] (20)

[0105] in, The first part corresponds to the flexibility of diesel generator systems;

[0106] It is the serial number of the rack that has been used; This refers to the diesel generator system unit Used racks within the backup power range;

[0107] It is the serial number of the refrigeration equipment that has been used; This refers to the diesel generator system unit Refrigeration equipment already in use within the backup power range; This is the rated power of the racks already in use; This is the rated power of the refrigeration equipment already in use; It is a diesel generator system unit The proportion of reserve demand;

[0108] The maximum downward adjustment flexibility of diesel generator sets is constrained by the power of IT equipment and refrigeration equipment, as shown in equation (21):

[0109] (twenty one)

[0110] in, The second part corresponds to the flexibility of diesel generator systems;

[0111] in, Is the rack already in use? In the Load base value for a time period; Refrigeration equipment is already in use. In the Load base value for a time period;

[0112] If the power adjustment of IT equipment and refrigeration equipment is taken into account, the maximum downward adjustment flexibility of the diesel generator set is constrained by the power of IT equipment and refrigeration equipment, as shown in equation (22):

[0113] (twenty two)

[0114] in, The third part corresponds to the flexibility of diesel generator systems;

[0115] in, Is the rack already in use? In the Load forecast values ​​for a specific time period; Refrigeration equipment is already in use. In the Load forecast values ​​for a specific time period;

[0116] 2) Battery flexibility model, specifically including:

[0117] The flexibility of a storage battery is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (23):

[0118] (twenty three)

[0119] in, It is the first One battery system unit; The battery system is in the first The total discharge power of the battery system in the first time period, i.e., the total discharge power of the battery system in the first time period. Flexibility in adjusting for different time periods; It is a battery system In the Discharge power over a time period; It is a battery system In the Charging power over a specific time period;

[0120] The charging and discharging constraints and capacity constraints of the battery itself are shown in equations (24)-(27):

[0121] (twenty four)

[0122] (25)

[0123] (26)

[0124] (27)

[0125] in, It is a battery system The minimum allowable charging power; It is a battery system Maximum permissible charging power; It is a battery system The maximum permissible discharge power; This indicates a battery system. In the A 0-1 auxiliary variable indicating whether charging or discharging occurs within a given time period. A value of 0 represents no charging, and a value of 1 represents no discharging. , , Battery system Natural power loss rate, charging efficiency, and discharging efficiency; , These represent the battery system. In time period and time period The amount of electricity; , Battery system The minimum and maximum allowable power consumption;

[0126] The maximum flexibility of battery price reduction is constrained by shelf availability.

[0127] (28)

[0128] in, The first part corresponds to the flexibility of the battery system;

[0129] in, It is a battery system Backup power time for racks and refrigeration equipment already in use within its power supply range;

[0130] The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (29):

[0131] (29)

[0132] in, This refers to the battery system Racks already in use within the power supply range; This refers to the battery system Refrigeration equipment already in use within the power supply range; It is a battery system The power supply ratio of used racks and used refrigeration equipment within its power supply range; It is allocated to the battery system The capacity of the power distribution system within its power supply range;

[0133] The maximum flexibility of battery capacity reduction is constrained by the power requirements of IT and cooling equipment.

[0134] (30)

[0135] in, The second part corresponds to the flexibility of the battery system;

[0136] The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (31):

[0137] (31)

[0138] in, This refers to the battery system Racks already in use within the power supply range; This refers to the battery system Refrigeration equipment already in use within the power supply range; It is a battery system The power supply ratio of used racks and used refrigeration equipment within its power supply range; It is allocated to the battery system The capacity of the power distribution system within its power supply range;

[0139] If the power adjustment of IT equipment and cooling equipment is taken into account, the maximum flexibility of the battery to be reduced is constrained by the power of IT equipment and cooling equipment:

[0140] (32)

[0141] in, The third part corresponds to the flexibility of the battery system;

[0142] The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (33):

[0143] (33).

[0144] In one specific embodiment of the present invention, the method further includes:

[0145] Establish a C-level flexibility model, specifically including:

[0146] The flexibility of refrigeration equipment is characterized by the downward adjustment direction as the positive direction, as shown in equation (34):

[0147] (34)

[0148] in, The refrigeration equipment system is in the first The total power reduction in the time period, that is, the cooling equipment in the first time period. Flexibility in adjusting for different time periods;

[0149] The upper and lower limits of power consumption of the refrigeration equipment itself are constrained as shown in equation (35):

[0150] (35)

[0151] in, It is a refrigeration equipment system unit The minimum active power output; It is a refrigeration equipment system unit Maximum active power output; It represents a refrigeration equipment system unit. In the A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup;

[0152] The correlation constraints between the power of the refrigeration equipment and the temperature and humidity within its refrigeration range and the temperature and humidity of the previous time period, the power consumption of the IT equipment, the ambient temperature and humidity, and the setpoints of temperature and humidity are shown in Equation (36):

[0153] (36)

[0154] in, It is the first One cooling range; Refers to the cooling range The refrigeration equipment already in use inside; Refers to the cooling range The racks already in use; and These are the cooling ranges. In the The time period and the first Temperature over a specific time period; and These are the cooling ranges. In the The time period and the first Humidity over a specific time period; and These are the cooling ranges. In the Set the temperature and humidity values ​​to be maintained for a specific time period; and These are the cooling ranges. In the Temperature and humidity outside the range of a specific time period; It is a correlation function between the power of the refrigeration equipment and the temperature and humidity within its refrigeration range, the temperature and humidity of the previous time period, the power consumption of the IT equipment, the ambient temperature and humidity, and the temperature and humidity setpoints.

[0155] The maximum downward adjustment flexibility of refrigeration equipment is constrained by the acceptable temperature range, as shown in equation (37):

[0156] (37)

[0157] in, The first part corresponds to the flexibility of refrigeration equipment;

[0158] in, and These are the cooling ranges. The minimum and maximum allowable temperatures;

[0159] The maximum adjustment flexibility of the refrigeration equipment is constrained by the combination of the refrigeration equipment itself, as shown in equation (38):

[0160] (38)

[0161] in, The second part corresponds to the flexibility of refrigeration equipment;

[0162] If we consider the adjustment of IT equipment power, the maximum reduction flexibility of the cooling equipment is constrained by the following power consumption of the IT equipment, as shown in equation (39):

[0163] (39)

[0164] in, The part corresponding to the refrigeration equipment with a high degree of flexibility is the part with strong special characteristics.

[0165] In one specific embodiment of the present invention, the method further includes:

[0166] Establish a Level B flexibility model, specifically including:

[0167] The flexibility of IT equipment is characterized by the downward adjustment direction as the positive direction, as shown in equation (40):

[0168] (40)

[0169] in, IT equipment in the The total power reduction in the time period, that is, the IT equipment in the first time period. Flexibility in adjusting for different time periods; IT equipment unit In the The base power consumption value for a given time period;

[0170] The upper and lower limits of power consumption of IT equipment itself are constrained as shown in equation (41):

[0171] (41)

[0172] in, IT equipment unit The minimum active power output; IT equipment unit Maximum active power output; It represents an IT equipment unit. In the A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup;

[0173] The correlation function between the power of IT equipment and the computing power demand and latency of its computing cluster is shown in Equation (42):

[0174] (42)

[0175] in, It is the first One computing cluster; It is the first Type of business; refers to computing power clusters The racks already in use; It refers to a computing power cluster The business being processed, where if the business Processing is performed across multiple clusters, denoted as... ; It's a business In the Baseline computing power demand for a given time period; It's a business The short-delay base value; It is a correlation function between the power of IT equipment and the computing power requirements and latency of its computing cluster.

[0176] The maximum flexibility of IT is constrained by the combination of the cooling equipment itself, as shown in equation (43):

[0177] (43)

[0178] in, The first part corresponds to the flexibility of IT equipment;

[0179] If business adjustments are taken into account, the maximum flexibility of IT equipment reduction is constrained by the following of business volume and latency, as shown in equation (44):

[0180] (44)

[0181] in, The second part corresponds to the flexibility of IT equipment;

[0182] in, It's a business In the The computing power requirement for a given time period; It's a business Short latency.

[0183] In one specific embodiment of the present invention, the method further includes:

[0184] Establish a flexibility model at level A, specifically including:

[0185] The flexibility of business logic is represented by the downward adjustment direction as the positive direction, as shown in equation (45):

[0186] (45)

[0187] in, It is a computing power cluster Business within the scope of the first The total reduction over a given time period, i.e., the computing power cluster Business within the scope of the first Flexibility in adjusting for different time periods;

[0188] The upper and lower limits of the computing power requirements for the business are constrained as shown in equation (46):

[0189] (46)

[0190] in, It's a business In the The total computing power demand generated by the user side during a given time period; It's a business The long latency, in terms of time period Time scale; It's a business Minimum execution ratio of total computing power requirement; It's a business The maximum execution ratio of total computing power requirements;

[0191] The latency constraints of the service are shown in equations (47)-(48):

[0192] (47)

[0193] (48)

[0194] in, It's a business Maximum permissible short latency setting; It's a business The maximum allowable long delay setting.

[0195] In one specific embodiment of the present invention, the different scenarios include: flexibility considering only no particularity, flexibility considering both no particularity and weak particularity, and flexibility considering both no particularity, weak particularity, and strong particularity.

[0196] In one specific embodiment of the present invention, the evaluation of the flexibility of the computing center campus under different scenarios based on the flexibility model includes:

[0197] 1) Only consider flexibility without special characteristics;

[0198] When considering all levels:

[0199] The flexibility expression of the computing center campus is shown in equation (49):

[0200] (49)

[0201] in, The computing center park is in the 19th Flexibility in time periods; Constrained by equations (1)-(3), Constrained by equations (4)-(12), Constrained by equations (13)-(17). Constrained by equations (18)-(20), Constrained by equations (23)-(29);

[0202] When considering partial levels:

[0203] The flexibility of a computing center campus is the sum of the flexibility of all considered layers, and among them, Constrained by equations (1)-(3), Constrained by equations (4)-(12), Constrained by equations (13)-(17). Constrained by equations (18)-(20), Constrained by equations (23)-(29);

[0204] 2) Flexibility that considers both no specialness and weak specialness;

[0205] When considering all levels:

[0206] The flexibility expression of the computing center park is shown in equation (50):

[0207] (50)

[0208] in, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (21); Constrained by equations (23)-(27), (30)-(31); Constrained by equations (34)-(35), (37)-(38);

[0209] When considering partial levels:

[0210] The flexibility of a computing center campus is the sum of the flexibility of all considered layers, and among them, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (21); Constrained by equations (23)-(27), (30)-(31); Constrained by equations (34)-(35), (37)-(38);

[0211] 3) Consider the flexibility of having no specificity, weak specificity, and strong specificity simultaneously;

[0212] When considering all levels:

[0213] The flexibility expression of the computing center park is shown in equation (51):

[0214] (51)

[0215] in, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48);

[0216] When considering partial levels:

[0217] The flexibility of a computing center campus is expressed as the sum of the flexibility of all considered layers, where, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48).

[0218] A second aspect of the present invention provides a flexibility assessment device based on a multi-level hierarchical structure of a computing center campus, comprising:

[0219] The hierarchical classification module is used to divide the flexibility of each device in the computing center park into multiple levels and grades based on its relevance to the business logic of the computing center park. The grades include: no specificity, weak specificity, and strong specificity. No specificity means that the flexibility capacity of the corresponding device is not constrained by business needs and is not coupled with the business logic of the computing center park. Weak specificity means that the flexibility capacity of the corresponding device is constrained by business needs. Strong specificity means that the flexibility capacity of the corresponding device is constrained by business needs and is strongly coupled with the business logic of the computing center park.

[0220] The flexibility model construction module is used to establish flexibility models for each level in the computing center park based on the division results of the hierarchy and level.

[0221] The evaluation module is used to evaluate the flexibility of the computing center park under different scenarios based on the flexibility model.

[0222] A third aspect of the present invention provides an electronic device comprising:

[0223] At least one processor; and a memory communicatively connected to said at least one processor;

[0224] The memory stores instructions that can be executed by the at least one processor, and the instructions are configured to perform the aforementioned flexibility assessment method based on a multi-level hierarchy of computing center parks.

[0225] A fourth aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing the computer to execute the above-described flexibility assessment method based on a multi-level hierarchical structure of a computing center campus.

[0226] Features and beneficial effects of the present invention:

[0227] 1) This invention takes business logic as its core, divides the flexibility of the computing power center park into multiple levels and grades, and performs multi-level hierarchical flexibility modeling and evaluation of the computing power center park. The evaluation results can be directly used to utilize the flexibility of the computing power center park.

[0228] 2) In this invention, the multi-level hierarchical flexibility modeling of the computing center campus comprehensively considers all types of major energy-consuming equipment and energy auxiliary equipment in the computing center campus, including their independently controllable parts and those requiring coupling and control with other units. This allows for flexible combinations of the various parts of the computing center campus under different configurations and varying degrees of adjustability. Therefore, this invention has strong universality and can be applied to computing center campuses with different configurations and adjustable limits.

[0229] 3) In the flexibility assessment of computing center parks, this invention lists a variety of application scenarios and provides a combination method for the flexibility of various parts of computing center parks under different configurations and adjustable allowable conditions. This makes the invention more practical and applicable to computing center parks with different configurations and adjustable allowable conditions. It supports the realization of providing regulation capabilities to the power grid by utilizing the flexibility of computing center parks while ensuring the reliability requirements of energy use of computing center parks. Attached Figure Description

[0230] Figure 1This is a flowchart of a flexibility assessment method based on a multi-level hierarchical structure of a computing center campus, according to an embodiment of the present invention. Detailed Implementation

[0231] The present invention proposes a method and apparatus for evaluating the flexibility of a computing center campus based on multi-level hierarchical structure, which will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0232] A first aspect of this invention proposes a flexibility assessment method based on a multi-level hierarchical structure of a computing center campus, comprising:

[0233] Based on their relevance to the business logic of the computing center park, the flexibility of each device in the computing center park is divided into multiple levels and grades. These levels include: no specificity, weak specificity, and strong specificity. No specificity indicates that the flexibility capacity of the corresponding device is not constrained by business needs and is not coupled with the business logic of the computing center park. Weak specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs. Strong specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs and is strongly coupled with the business logic of the computing center park.

[0234] Based on the division results of the aforementioned levels and grades, flexibility models for each level in the computing center park are established respectively.

[0235] Based on the aforementioned flexibility model, the flexibility of the computing center campus is evaluated under different scenarios.

[0236] In a specific embodiment of the present invention, the overall process of the flexibility assessment method based on multi-level hierarchical structure of computing center parks is as follows: Figure 1 As shown, it includes the following steps:

[0237] 1) Based on their relevance to the business logic of the computing center park, the flexibility of each device in the computing center park is divided into multiple levels and grades; specifically as follows:

[0238] 1-1) Level E: The flexibility provided by the lighting system, independent hydrogen energy system, and independent energy storage system on the user side within the computing center campus; specifically:

[0239] 1-1-1) Lighting system.

[0240] The flexibility comes from its own energy-use flexibility characteristics, such as the ability to turn off the lighting system for a period of time.

[0241] The flexibility category is load reduction.

[0242] 1-1-2) Independent hydrogen energy system.

[0243] The flexibility stems from its own energy utilization flexibility characteristics, such as the adjustable power consumption of the hydrogen production system and the output of the hydrogen fuel cell unit.

[0244] The flexibility category is long-term energy storage.

[0245] 1-1-3) User-side independent energy storage system.

[0246] The flexibility comes from its own energy use flexibility characteristics, such as the adjustable charging and discharging power of the user-side independent energy storage system.

[0247] The flexibility category is energy storage.

[0248] Among them, the flexibility level of the E level is all without special characteristics, that is, the flexibility capacity is not constrained by business needs and is not coupled with the business logic of the computing center park.

[0249] 1-2) Level D: Flexibility provided by power supply reliability assurance equipment, which includes: diesel generator systems and batteries; specifically:

[0250] 1-2-1) Diesel generator system;

[0251] In this embodiment, the flexibility of the diesel generator system is divided into three parts:

[0252] Part 1: For computing centers with low rack utilization, the flexibility of the diesel generator system comes from the redundancy of the diesel generator system's backup requirements; in this case, the flexibility category is adjustable generator set; its flexibility level is no special feature.

[0253] Part Two: Since the backup demand changes positively with the power of IT equipment and cooling equipment, during periods of low business volume (when the power demand of IT equipment and cooling equipment is low), the flexibility of the diesel generator system comes from the backup demand redundancy of the diesel generator system; at this time, the flexibility category is follow-up redundancy (i.e., backup demand redundancy that occurs as business volume decreases); its flexibility level is weak specificity, that is, the flexibility capacity is constrained by business demand.

[0254] Part Three: In addition, by further adjusting the computing and storage requirements of the business, the power consumption of IT equipment and cooling equipment, the flexibility of the diesel generator system comes from the follow-up adjustment of backup requirements; at this time, the flexibility category is follow-up redundancy; its flexibility level is strong specificity, that is, the flexibility capacity is constrained by business requirements and has a strong coupling with business logic.

[0255] 1-2-2) Storage battery;

[0256] The flexibility of the battery in this embodiment is divided into three parts:

[0257] Part 1: For computing centers with low rack utilization rates, the source of battery flexibility is the redundancy of battery backup demand; in this case, the flexibility category is battery energy storage; its flexibility level is no special feature.

[0258] Part Two: Since backup demand changes positively with the power of IT equipment and cooling equipment, during periods of low business volume (when the power demand of IT equipment and cooling equipment is low), the source of battery flexibility is the redundancy of battery backup demand; at this time, the flexibility category is follow-up redundancy; its flexibility level is weak specificity, that is, the flexibility capacity is constrained by business demand.

[0259] Part Three: In addition, by further adjusting the computing and storage requirements of the business, the power consumption of IT equipment and cooling equipment, the flexibility of the battery comes from the follow-up adjustment of backup requirements; at this time, the flexibility category is follow-up redundancy; its flexibility level is strong specificity, that is, the flexibility capacity is constrained by business requirements and has a strong coupling with business logic.

[0260] 1-3) Level C: Flexibility provided by refrigeration equipment.

[0261] Specifically, the flexibility of the refrigeration equipment in this embodiment is divided into three parts:

[0262] Part 1: Since the temperature standard of the computing center is a range that can be varied within, the flexibility of the cooling equipment comes from the adjustability of the cooling equipment power. In this case, the flexibility category is building-like energy storage; the flexibility level is weak specialization.

[0263] Part Two: Since the power consumption of each refrigeration unit is not linearly related to the cooling capacity it provides, the flexibility of the refrigeration equipment comes from optimizing the combination of each refrigeration unit to adjust the power consumption of the refrigeration equipment under a fixed cooling capacity requirement; at this time, the flexibility category is power adjustment achieved through combination optimization; the flexibility level is weak specificity.

[0264] Part 3: Since the cooling capacity demand changes positively with the power of IT equipment, the flexibility of cooling equipment comes from adjusting the computing and storage requirements of the business and the power consumption of IT equipment to achieve the corresponding adjustment of the power consumption of cooling equipment; at this time, the flexibility category is the following load of IT equipment power consumption; the flexibility level is strong specificity, that is, the flexibility capacity is constrained by the business demand and has a strong coupling with the business logic.

[0265] 1-4) Level B: Flexibility provided by IT equipment.

[0266] Specifically, in this embodiment, the flexibility of the IT equipment is divided into two parts:

[0267] Part 1: Since the power consumption of each device unit is not linearly related to the computing power it provides, the flexibility of IT equipment comes from optimizing the combination of IT equipment to adjust the power consumption of IT equipment under fixed computing power requirements. At this time, the flexibility category is to achieve power adjustment through combination optimization. The flexibility level is strong specificity, that is, the flexibility capacity is constrained by business needs and is strongly coupled with business logic.

[0268] Part Two: Since the power consumption of IT equipment changes positively with computing power demand, the flexibility of IT equipment comes from adjusting the computing and storage demand to achieve the corresponding adjustment of the power consumption of IT equipment; at this time, the flexibility category is the following load of computing and storage demand; the flexibility level is strong specificity, that is, the flexibility capacity is constrained by business needs and has a strong coupling with business logic.

[0269] 1-5) Level A: Flexibility provided by the business logic of the computing center park.

[0270] In this embodiment, the flexibility of the business logic mainly comes from three sources:

[0271] The first category comprises services whose computational and storage requirements can be reduced. These services are characterized by "flexible" output results, such as video rendering. Lower rendering quality is permissible, thus reducing the corresponding computational and storage requirements. This category categorizes as "load-bearing."

[0272] The second category: Certain business operations have shiftable compute and storage requirements (time scale). These operations are characterized by a relatively long tolerable latency, such as batch processing. This includes both interruptible and non-interruptible tasks. Since processing can be performed at different times, the corresponding compute and storage requirements can be shifted between these time periods. This flexibility category is shiftable load (time scale).

[0273] The third category: certain business operations have transferable computing and storage requirements (spatial scale). These operations are characterized by being able to be processed in "multi-location" environments, such as "multi-site active-active" operations. This includes: 1) different IT devices within the same computing center (micro-level); 2) IT devices in different computing centers (macro-level), where the corresponding computing and storage requirements can be spatially transferred. This flexibility category is called transferable load (spatial scale).

[0274] Among them, the flexibility level of level A is: strong specificity, which is strongly coupled with business logic.

[0275] 2) Based on the partitioning results of step 1), establish flexibility models for each level within the computing center campus. The specific steps are as follows:

[0276] 2-1) Establish a flexibility model at the E level, specifically including:

[0277] 2-1-1) A flexibility model for the lighting system, specifically including:

[0278] The flexibility of the lighting system is characterized as shown in Equation (1):

[0279] (1)

[0280] in, It is the first A time period. It is the first One lighting system unit. The lighting system is in the first The power corresponding to the shutdown portion of the lighting system during the [number] time period, i.e., the power of the lighting system during the [number]th [period]. The flexibility to adjust for different time periods. It is a lighting system unit In the A portion of the power can be switched off during a specific time period, i.e., the lighting system unit. In the Maximum downward adjustment flexibility over a given time period. It means in the first Does the lighting system unit need to be activated during a specific time period? The 0-1 auxiliary variable is used to reduce flexibility; a value of 0 means not calling the function, and a value of 1 means calling the function.

[0281] The maximum shutdown time constraint that can reduce lighting load is shown in equation (2):

[0282] (2)

[0283] in, It is the maximum number of time periods that the lighting system unit l can be turned off.

[0284] The maximum reduction flexibility constraint for the lighting load can be reduced, as shown in equation (3):

[0285] (3)

[0286] in, It is the lighting system unit l in the first The base state for each time period, with a value of 0 or 1. A value of 0 represents shutdown, and a value of 1 represents startup.

[0287] 2-1-2) Flexibility model of stand-alone hydrogen energy system, specifically including:

[0288] The flexibility of an independent hydrogen energy system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (4):

[0289] (4)

[0290] in, Indicates the first Each is an independent hydrogen energy system unit. It is an independent hydrogen energy system in the first The total discharge power of the independent hydrogen energy system in the time period, i.e., the total discharge power of the independent hydrogen energy system in the first time period. The flexibility to adjust for different time periods. It is an independent hydrogen energy system The hydrogen fuel cell unit in the first Active power output over a given time period. It is an independent hydrogen energy system The hydrogen production equipment in the first Electricity load for a given time period.

[0291] Relevant constraints of hydrogen production equipment:

[0292] The relationship between the input power and output hydrogen of a hydrogen production device is shown in equation (5):

[0293] (5)

[0294] in, Indicates the electrolysis of water in the first stage Energy conversion efficiency over a time period; The density of hydrogen gas under standard conditions is 0.089 kg / m³. 3 ; The lower heating value of hydrogen is taken as 10790 kJ / m³. 3 ; For the first The mass flow rate (kg / s) of hydrogen produced in a given time period.

[0295] The upper and lower limits of the input power of hydrogen production equipment are determined based on the capacity of the electrolyzer, which specifies the upper and lower limits of the input electrical energy for hydrogen production by water electrolysis, as shown in equation (6):

[0296] (6)

[0297] in, It is an independent hydrogen energy system The minimum input power of the hydrogen production equipment in the process; It is an independent hydrogen energy system The maximum input power of the hydrogen production equipment in the system; Independent hydrogen energy system The hydrogen production equipment in the first A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup.

[0298] Relevant constraints of hydrogen fuel cell units:

[0299] The relationship between the active power output of a hydrogen fuel cell unit and the hydrogen supply is shown in equation (7):

[0300] (7)

[0301] in, The high calorific value of hydrogen is taken as 12740 kJ / m³. 3 . Regarding the power generation efficiency of hydrogen fuel cell units, the current power generation efficiency of hydrogen fuel cell units is generally between 40% and 50%. For the first The mass flow rate (kg / s) of hydrogen supplied over a time period.

[0302] The upper and lower limits of the active power output of the hydrogen fuel cell unit are shown in equation (8):

[0303] (8)

[0304] in, It is an independent hydrogen energy system The minimum active power output of hydrogen fuel cell units in China; It is an independent hydrogen energy system The maximum active power output of the hydrogen fuel cell unit in the system; Independent hydrogen energy system Hydrogen fuel cell units in the time period The 0-1 state variable has a value of 0 representing off and a value of 1 representing on.

[0305] Relevant constraints of hydrogen storage tanks:

[0306] The relationship between the gas storage capacity of the hydrogen storage tank and its filling and venting is shown in equation (9):

[0307] (9)

[0308] in, and They were respectively in the second The time period and the first Independent hydrogen energy systems for different time periods The total mass (kg) of hydrogen in the hydrogen storage tank.

[0309] The gas storage capacity constraint of the hydrogen storage tank is shown in equation (10):

[0310] (10)

[0311] in, and Each is an independent hydrogen energy system The minimum and maximum total hydrogen storage mass (kg) of the hydrogen storage tank.

[0312] The constraints on the filling and venting rates of the hydrogen storage tank are shown in equations (11)-(12):

[0313] (11)

[0314] (12)

[0315] in, and Each is an independent hydrogen energy system The maximum filling and venting rates of the hydrogen storage tank.

[0316] 2-1-3) Flexibility model of user-side independent energy storage system, specifically including:

[0317] The flexibility of an independent energy storage system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (13):

[0318] (13)

[0319] in, Representing the Each independent energy storage system unit. It is an independent energy storage system in the first The total discharge power of the independent energy storage system in the time period, i.e., the power of the independent energy storage system in the first time period. The flexibility to adjust the time frame. It is an independent energy storage system In the The discharge power over a given time period. It is an independent energy storage system In the The charging power over a specific time period.

[0320] The charging and discharging power constraints of an independent energy storage system are shown in equations (14)-(15):

[0321] (14)

[0322] (15)

[0323] in, It is an independent energy storage system The minimum permissible charging power; It is an independent energy storage system Maximum permissible charging power; It is an independent energy storage system The maximum permissible discharge power; It refers to an independent energy storage system. In the A 0-1 auxiliary variable indicating whether charging or discharging occurs within a given time period. A value of 0 represents no charging, and a value of 1 represents no discharging.

[0324] The relationship between the initial charge and charge / discharge capacity of an independent energy storage system is shown in equation (16):

[0325] (16)

[0326] in, , , Each is an independent energy storage system Natural power loss rate, charging efficiency, and discharging efficiency; , These represent independent energy storage systems. In the The time period and the first Battery consumption over a specific time period.

[0327] The energy constraint of an independent energy storage system is shown in equation (17):

[0328] (17)

[0329] in, , Each is an independent energy storage system The minimum and maximum allowable power.

[0330] 2-2) Establish a D-level flexibility model, specifically including:

[0331] 2-2-1) The flexibility model of the diesel generator system, specifically including:

[0332] The flexibility of the diesel generator system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (18):

[0333] (18)

[0334] in, Indicates the first Each diesel generator system unit. The diesel generator system is in the first The total discharge power of the diesel generator system in the specified time period, i.e., the total discharge power of the diesel generator system in the specified time period. The flexibility to adjust the time frame. It is a diesel generator system unit In the The contributions made during a specific period of time.

[0335] The upper and lower limits of the output power of the diesel generator set itself are constrained as shown in equation (19):

[0336] (19)

[0337] in, It is a diesel generator system unit The minimum active power output; It is a diesel generator system unit Maximum active power output; This represents the diesel generator system unit. In time period The 0-1 state variable has a value of 0 representing off and a value of 1 representing on.

[0338] The maximum flexibility of diesel generator set adjustment is constrained by the uptime rate, as shown in equation (20):

[0339] (20)

[0340] in, This corresponds to the first part of the flexibility of diesel generator systems, namely the part with a flexibility level of no special features.

[0341] in, It is the serial number of the rack that has been used; This refers to the diesel generator system unit Used racks within the backup power range.

[0342] It is the serial number of the refrigeration equipment that has been used; This refers to the diesel generator system unit Refrigeration equipment already in use within the backup power range.

[0343] This is the rated power of the rack already in use. This is the rated power of the refrigeration equipment already in use. It is a diesel generator system unit The reserve requirement ratio, for example, is set to 1.

[0344] Further tightening, the maximum downward flexibility of diesel generator sets is constrained by the power of IT equipment and refrigeration equipment, as shown in equation (21):

[0345] (twenty one)

[0346] in, This corresponds to the second part of the flexibility of diesel generator systems, namely the part with a low level of flexibility.

[0347] in, Is the rack already in use? In the Load base value for a time period; Refrigeration equipment is already in use. In the The load base value for each time period.

[0348] If the power adjustment of IT equipment and refrigeration equipment is taken into account, the maximum downward adjustment flexibility of the diesel generator set is constrained by the power of IT equipment and refrigeration equipment, as shown in equation (22):

[0349] (twenty two)

[0350] in, This corresponds to the third part of the flexibility of diesel generator systems, namely the part with a high degree of specialization in flexibility.

[0351] in, Is the rack already in use? In the Load forecast values ​​for a specific time period; Refrigeration equipment is already in use. In the Load forecast values ​​for a given time period.

[0352] 2-2-2) Battery flexibility model, specifically including:

[0353] The flexibility of a storage battery is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (23):

[0354] (twenty three)

[0355] in, It is the first One battery system unit. The battery system is in the first The total discharge power of the battery system in the first time period, i.e., the total discharge power of the battery system in the first time period. The flexibility to adjust the time frame. It is a battery system In the The discharge power over a given time period. It is a battery system In the The charging power over a specific time period.

[0356] The charging and discharging constraints and capacity constraints of the battery itself are shown in equations (24)-(27):

[0357] (twenty four)

[0358] (25)

[0359] (26)

[0360] (27)

[0361] in, It is a battery system The minimum permissible charging power; It is a battery system Maximum permissible charging power; It is a battery system The maximum permissible discharge power; This indicates a battery system. In the A 0-1 auxiliary variable indicating whether charging or discharging occurs within a given time period. A value of 0 represents no charging, and a value of 1 represents no discharging. , , Battery system Natural power loss rate, charging efficiency, and discharging efficiency; , These represent the battery system. In time period and time period The amount of electricity. , Battery system The minimum and maximum allowable power.

[0362] The maximum flexibility of battery price reduction is constrained by shelf availability.

[0363] (28)

[0364] in, This corresponds to the first part of the battery system's flexibility, namely the part with a flexibility level of no special features.

[0365] in, It is a battery system The backup power time for used racks and used refrigeration equipment within its power supply range, for example, is set to 15 minutes.

[0366] The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (29):

[0367] (29)

[0368] in, This refers to the battery system Racks already in use within the power supply range. This refers to the battery system Refrigeration equipment already in use within the power supply range. It is a battery system The power supply ratio of used racks and used refrigeration equipment within its power supply range, for example, when there is a 2-way power supply. The value is 0.5. It is allocated to the battery system The capacity of the power distribution system within its power supply range.

[0369] Further tightening measures mean that the maximum flexibility for reducing battery capacity is constrained by the power requirements of IT and cooling equipment.

[0370] (30)

[0371] in, This corresponds to the second part of the battery system's flexibility, namely the part with a low level of flexibility.

[0372] The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (31):

[0373] (31)

[0374] in, This refers to the battery system Racks already in use within the power supply range. This refers to the battery system Refrigeration equipment already in use within the power supply range. It is a battery system The power supply ratio of used racks and used refrigeration equipment within its power supply range, for example, when there is a 2-way power supply. The value is 0.5. It is allocated to the battery system The capacity of the power distribution system within its power supply range.

[0375] If the power adjustment of IT equipment and cooling equipment is taken into account, the maximum flexibility of the battery to be reduced is constrained by the power of IT equipment and cooling equipment:

[0376] (32)

[0377] in, This corresponds to the third part of the battery system's flexibility, namely the part with a high degree of specialization in flexibility.

[0378] The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (33):

[0379] (33).

[0380] 2-3) Establish a C-level flexibility model, specifically including:

[0381] The flexibility of refrigeration equipment is characterized by the downward adjustment direction as the positive direction, as shown in equation (34):

[0382] (34)

[0383] in, The refrigeration equipment system is in the first The total power reduction in the time period, that is, the cooling equipment in the first time period. The flexibility to adjust the time frame.

[0384] The upper and lower limits of power consumption of the refrigeration equipment itself are constrained as shown in equation (35):

[0385] (35)

[0386] in, It is a refrigeration equipment system unit The minimum active power output; It is a refrigeration equipment system unit Maximum active power output; It represents a refrigeration equipment system unit. In the A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup.

[0387] The correlation constraints between the power of the refrigeration equipment and the temperature and humidity within its refrigeration range and the temperature and humidity of the previous time period, the power consumption of the IT equipment, the ambient temperature and humidity, and the setpoints of temperature and humidity are shown in Equation (36):

[0388] (36)

[0389] in, It is the first One cooling range. Refers to the cooling range The refrigeration equipment inside is already in use. Refers to the cooling range The racks already in use. and These are the cooling ranges. In the The time period and the first Temperature over a specific time period. and These are the cooling ranges. In the The time period and the first Humidity over a specific time period. and These are the cooling ranges. In the Set the temperature and humidity values ​​to be maintained for each time period. and These are the cooling ranges. In the Temperature and humidity outside the range of a given time period. It is a correlation function between the power of the refrigeration equipment and the temperature and humidity within its refrigeration range, the temperature and humidity of the previous time period, the power consumption of the IT equipment, the ambient temperature and humidity, and the temperature and humidity setpoints.

[0390] The maximum downward adjustment flexibility of refrigeration equipment is constrained by the acceptable temperature range, as shown in equation (37):

[0391] (37)

[0392] in, This corresponds to the first part of the flexibility of refrigeration equipment, namely the part with a low level of flexibility.

[0393] in, and These are the cooling ranges. The minimum and maximum temperatures that are permissible.

[0394] Furthermore, the maximum flexibility of the refrigeration equipment is constrained by the combination of the refrigeration equipment itself, as shown in equation (38):

[0395] (38)

[0396] in, This corresponds to the second part of the flexibility of refrigeration equipment, namely the part with a low level of flexibility.

[0397] If the power adjustment of IT equipment is taken into account, the maximum reduction flexibility of the cooling equipment is constrained by the power consumption of IT equipment, as shown in equation (39):

[0398] (39)

[0399] in, The part corresponding to the refrigeration equipment with a high degree of flexibility is the part with strong special characteristics.

[0400] 2-4) Establish a flexibility model at level B, specifically including:

[0401] The flexibility of IT equipment is characterized by the downward adjustment direction as the positive direction, as shown in equation (40):

[0402] (40)

[0403] in, IT equipment in the The total power reduction in the time period, that is, the IT equipment in the first time period. The flexibility to adjust the time frame. IT equipment unit In the The base value of power consumption over a time period.

[0404] The upper and lower limits of power consumption of IT equipment itself are constrained as shown in equation (41):

[0405] (41)

[0406] in, IT equipment unit The minimum active power output; IT equipment unit Maximum active power output; It represents an IT equipment unit. In the A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup.

[0407] The correlation function between the power of IT equipment and the computing power demand and latency of its computing cluster is shown in Equation (42):

[0408] (42)

[0409] in, It is the first A computing power cluster. It is the first This type of business. refers to computing power clusters The racks already in use. It refers to a computing power cluster The business being processed, including certain business processes Processing can be performed in multiple clusters, denoted as . It's a business In the The baseline value of computing power demand for a given time period. It's a business The short latency base value is in milliseconds. It is a correlation function between the power of IT equipment and the computing power requirements and latency of its computing cluster.

[0410] Furthermore, the maximum flexibility of IT is constrained by the combination of the cooling equipment itself, as shown in equation (43):

[0411] (43)

[0412] in, The first part corresponds to the flexibility of IT equipment.

[0413] If business adjustments are taken into account, the maximum flexibility of IT equipment reduction is constrained by the following of business volume and latency, as shown in equation (44):

[0414] (44)

[0415] in, The second part corresponds to the flexibility of IT equipment.

[0416] in, It's a business In the The computing power requirements for a given time period. It's a business Its short latency is measured in milliseconds.

[0417] 2-5) Establish a flexibility model at level A, specifically including:

[0418] The flexibility of business logic is represented by the downward adjustment direction as the positive direction, as shown in equation (45):

[0419] (45)

[0420] in, It is a computing power cluster Business within the scope of the first The total reduction over a given time period, i.e., the computing power cluster Business within the scope of the first The flexibility to adjust the time frame.

[0421] The upper and lower limits of the computing power requirements for the business are constrained as shown in equation (46):

[0422] (46)

[0423] in, It's a business In the The total computing power demand generated by the user side within a certain time period. It's a business The long latency, in terms of time period A timescale meter. It's a business Minimum execution ratio of total computing power requirement; It's a business The maximum execution ratio of total computing power requirements.

[0424] The latency constraints of the service are shown in equations (47)-(48):

[0425] (47)

[0426] (48)

[0427] in, It's a business The maximum allowable short latency setting. It's a business The maximum allowable long delay setting.

[0428] 3) Based on the flexibility models established in step 2), conduct a flexibility assessment of the computing center campus.

[0429] The evaluation in this embodiment has multiple application scenarios, as detailed below:

[0430] 3-1) Only consider flexibility without special characteristics.

[0431] 3-1-1) Consider all levels:

[0432] The flexibility expression of the computing center campus is shown in equation (49):

[0433] (49)

[0434] in, The computing center park is in the 19th Flexibility in time periods; Constrained by equations (1)-(3), Constrained by equations (4)-(12), Constrained by equations (13)-(17). Constrained by equations (18)-(20), Constrained by equations (23)-(29);

[0435] The input quantity is: , , ; , , , , , , , , , , , , ; , , , , , , , , , ; , , , ; , , , , , , , , , , , , The remaining quantities in the above formula are control variables.

[0436] 3-1-2) Consider partial levels:

[0437] The flexibility of a computing center campus is the sum of the flexibility of all considered layers, and among them, Constrained by equations (1)-(3), Constrained by equations (4)-(12), Constrained by equations (13)-(17). Constrained by equations (18)-(20), Constrained by equations (23)-(29).

[0438] Taking the lighting and diesel generation system layers as an example, the flexibility of the computing center campus is expressed as follows: , and among them, Constrained by equations (1)-(3), Constrained by equations (18)-(20).

[0439] The input quantity is: , , ; , , , .

[0440] The remaining quantities in the above formula are all control variables.

[0441] 3-2) Consider the flexibility of both no specialness and weak specialness.

[0442] 3-2-1) Consider all levels:

[0443] The flexibility expression of the computing center park is shown in equation (50):

[0444] (50)

[0445] in, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (21); Constrained by equations (23)-(27), (30)-(31); Constrained by equations (34)-(35), (37)-(38).

[0446] The input quantity is: , , ; , , , , , , , , , , , , ; , , , , , , , , , ; , , , ; , , , , , , , , , , , , ; , , , , , , , .

[0447] The remaining quantities in the above formula are all control variables.

[0448] 3-2-2) Consider partial levels:

[0449] The flexibility of a computing center campus is the sum of the flexibility of all considered layers, and among them, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (21); Constrained by equations (23)-(27), (30)-(31); Constrained by equations (34)-(35), (37)-(38).

[0450] Taking lighting and power generation layers as an example, the flexibility of a computing center campus can be expressed as follows: , and among them, Constrained by equations (1)-(3); Constrained by equations (18)-(19), (21).

[0451] The input quantity is: , , ; , , , .

[0452] The remaining quantities in the above formula are all control variables.

[0453] 3-3) Consider the flexibility of having no speciality, weak speciality, and strong speciality at the same time.

[0454] 3-3-1) Consider all levels:

[0455] The flexibility expression of the computing center park is shown in equation (51):

[0456] (51)

[0457] in, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48).

[0458] The input quantity is: , , ; , , , , , , , , , , , , ; , , , , , , , , , ; , ; , , , , , , , , , , , , ; , , , , , , , , ; , , ; , , , , , .

[0459] The remaining quantities in the above formula are all control variables.

[0460] 3-3-2) Consider partial levels:

[0461] The flexibility of a computing center campus is expressed as the sum of the flexibility of all considered layers, where, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48).

[0462] Taking a layer other than lighting as an example, the flexibility of a computing center campus can be expressed as follows: , and among them, Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48).

[0463] The input quantity is: , , , , , , , , , , , , ; , , , , , , , , , ; , ; , , , , , , , , , , , , ; , , , , , , , , ; , , ; , , , , , .

[0464] The remaining quantities in the above formula are all control variables.

[0465] In this embodiment, the flexibility assessment result can be further used in the optimized scheduling of computing center energy consumption. In a specific embodiment of the invention, for example, when considering only flexibility without special characteristics and considering all levels, all equations in step 3-3-1) are incorporated into the optimized scheduling of computing center energy consumption.

[0466] To implement the above embodiments, a second aspect of the present invention proposes a flexibility assessment device based on a multi-level hierarchical structure of a computing center campus, comprising:

[0467] The hierarchical classification module is used to divide the flexibility of each device in the computing center park into multiple levels and grades based on its relevance to the business logic of the computing center park. The grades include: no specificity, weak specificity, and strong specificity. No specificity means that the flexibility capacity of the corresponding device is not constrained by business needs and is not coupled with the business logic of the computing center park. Weak specificity means that the flexibility capacity of the corresponding device is constrained by business needs. Strong specificity means that the flexibility capacity of the corresponding device is constrained by business needs and is strongly coupled with the business logic of the computing center park.

[0468] The flexibility model construction module is used to establish flexibility models for each level in the computing center park based on the division results of the hierarchy and level.

[0469] The evaluation module is used to evaluate the flexibility of the computing center park under different scenarios based on the flexibility model.

[0470] It should be noted that the foregoing explanation of an embodiment of a flexibility assessment method based on a multi-level hierarchy of computing power center parks also applies to a flexibility assessment device based on a multi-level hierarchy of computing power center parks in this embodiment, and will not be repeated here. According to an embodiment of the present invention, a flexibility assessment device based on a multi-level hierarchy of computing power center parks divides the flexibility of each device in the computing power center park into multiple levels and grades based on its relevance to the business logic of the computing power center park; wherein, the grades include: no specificity, weak specificity, and strong specificity; no specificity indicates that the flexibility capacity of the corresponding device is not constrained by business needs and is not coupled with the business logic of the computing power center park; weak specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs; strong specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs and is strongly coupled with the business logic of the computing power center park; based on the division results of the levels and grades, flexibility models for each level in the computing power center park are established respectively; based on the flexibility models, the flexibility of the computing power center park is assessed under different scenarios. Therefore, this embodiment can be applied to computing center parks with different configurations and adjustable permissions, supporting the provision of grid regulation capabilities by leveraging the flexibility of the computing center while ensuring the reliability requirements of energy consumption.

[0471] To implement the above embodiments, a third aspect of the present invention provides an electronic device, comprising:

[0472] At least one processor; and a memory communicatively connected to said at least one processor;

[0473] The memory stores instructions that can be executed by the at least one processor, and the instructions are configured to perform the aforementioned flexibility assessment method based on a multi-level hierarchy of computing center parks.

[0474] To implement the above embodiments, a fourth aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing the computer to execute the above-described flexibility assessment method based on a multi-level hierarchical structure of a computing center campus.

[0475] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0476] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform a flexibility assessment method based on a multi-level hierarchy of computing center campuses as described in the above embodiments.

[0477] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0478] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0479] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0480] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this application pertain.

[0481] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0482] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0483] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0484] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0485] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A flexibility assessment method based on a multi-level hierarchical structure of computing center parks, characterized in that, include: Based on their relevance to the business logic of the computing center park, the flexibility of each device in the computing center park is divided into multiple levels and grades. These levels include: no specificity, weak specificity, and strong specificity. No specificity indicates that the flexibility capacity of the corresponding device is not constrained by business needs and is not coupled with the business logic of the computing center park. Weak specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs. Strong specificity indicates that the flexibility capacity of the corresponding device is constrained by business needs and is strongly coupled with the business logic of the computing center park. Based on the division results of the aforementioned levels and grades, flexibility models for each level in the computing center park are established respectively. Based on the aforementioned flexibility model, the flexibility of the computing center campus is evaluated under different scenarios; the different scenarios include: flexibility considering only no particularity, flexibility considering both no particularity and weak particularity, and flexibility considering both no particularity, weak particularity, and strong particularity. Specifically, the division of the flexibility of each device in the computing center park into multiple levels and grades includes: 1) Level E: Flexibility provided by the lighting system, independent hydrogen energy system, and independent energy storage system on the user side within the computing center campus; among which: The flexibility of the lighting system comes from its own energy consumption flexibility characteristics; the flexibility category is load reduction capability. The flexibility of the independent hydrogen energy system comes from its own energy consumption flexibility characteristics; the flexibility category is long-term energy storage. The flexibility of the user-side independent energy storage system comes from its own energy consumption flexibility characteristics; the flexibility category is energy storage. Among them, the flexibility levels of level E are all without special characteristics; 2) Level D: Flexibility provided by power supply reliability assurance equipment, including: diesel generator systems and batteries; wherein: The flexibility of the diesel generator system is divided into three parts: Part 1: For computing centers with low rack utilization, the source of flexibility for the diesel generator system is the redundancy of backup demand for the diesel generator system; the flexibility category is adjustable generator set; the flexibility level is no special feature. Part Two: During periods of low business volume, the flexibility of the diesel generator system originates from the redundancy of the diesel generator system's backup demand; the flexibility category is follow-up redundancy; and the flexibility level is weak specificity. Part Three: By adjusting the power consumption of business computing and storage requirements, IT equipment, and refrigeration equipment, the flexibility of the diesel generator system comes from the adaptive adjustment of backup requirements; the flexibility category is adaptive redundancy; and the flexibility level is strong specificity. The flexibility of the battery is divided into three parts: Part 1: For computing centers with low rack utilization rates, the source of battery flexibility is redundancy for backup battery demand; the flexibility category is battery energy storage; the flexibility level is no special feature. Part Two: During periods of low business volume, the flexibility of the battery comes from the redundancy of battery backup demand; the flexibility category is follow-up redundancy; the flexibility level is weak specificity. Part Three: By adjusting the computing and storage requirements of the business, the power consumption of IT equipment and cooling equipment, the flexibility of the battery comes from the adaptive adjustment of backup requirements; the flexibility category is adaptive redundancy; the flexibility level is strong specificity. 3) Level C: Flexibility provided by refrigeration equipment; The flexibility of the refrigeration equipment is divided into three parts: Part 1: The flexibility of the refrigeration equipment comes from the adjustability of its power; the flexibility category is building-like energy storage; the flexibility level is weak specialization. Part Two: The flexibility of the refrigeration equipment comes from the optimization of the combination of various refrigeration devices to achieve power consumption adjustment under a fixed cooling capacity requirement; the flexibility category is power adjustment achieved through combination optimization; the flexibility level is weak specificity. Part Three: The flexibility of the cooling equipment comes from adjusting the computing and storage requirements of the business and the power consumption of IT equipment to achieve adaptive adjustment of the cooling equipment's power consumption; the flexibility category is the adaptive load of IT equipment power consumption; the flexibility level is strong specificity; 4) Level B: Flexibility provided by IT equipment; The flexibility of the IT equipment is divided into two parts: Part 1: The source of the flexibility of the IT equipment is to achieve power consumption adjustment of IT equipment under fixed computing power requirements through the optimization of IT equipment combination; the flexibility category is to achieve power adjustment through combination optimization; the flexibility level is strong specificity; Part Two: The source of the flexibility of the IT equipment is the ability to adjust the power consumption of the IT equipment by adjusting the computing and storage requirements; the flexibility category is the following load of computing and storage requirements; the flexibility level is strong specificity; 5) Level A: Flexibility provided by the business logic of the computing center park; The flexibility of the business logic comes from three sources: Category 1: Business computing and storage requirements can be reduced; flexibility category is reduceable load. The second category: the computing and storage requirements of the business can be shifted over time; the flexibility category is shiftable load. The third category: the computing and storage requirements of the business are transferable on a spatial scale; the flexibility category is transferable load. Among them, the flexibility level of Level A is strong specificity.

2. The method according to claim 1, characterized in that, The method further includes: Establish an E-level flexibility model, specifically including: 1) A flexibility model for the lighting system, specifically including: The flexibility of the lighting system is characterized as shown in Equation (1): （1） in, It is the first A time period; It is the first One lighting system unit; The lighting system is in the first The power corresponding to the shutdown portion of the lighting system during the [number] time period, i.e., the power of the lighting system during the [number]th [period]. Flexibility in adjusting for different time periods; It is a lighting system unit In the A portion of the power can be switched off during a specific time period, i.e., the lighting system unit. In the Maximum downward adjustment flexibility over a given time period; It means in the first Does the lighting system unit need to be activated during a specific time period? The 0-1 auxiliary variable for adjusting flexibility, with a value of 0 representing no call and a value of 1 representing call; The maximum shutdown time constraint that can reduce lighting load is shown in equation (2): （2） in, This is the maximum number of time periods that the lighting system unit l can be turned off; The maximum reduction flexibility constraint for the lighting load can be reduced, as shown in equation (3): （3） in, It is the lighting system unit l in the first The base state for each time period, with a value of 0 or 1. A value of 0 represents off, and a value of 1 represents on. 2) Flexibility model of stand-alone hydrogen energy system, specifically including: The flexibility of an independent hydrogen energy system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (4): （4） in, Indicates the first Each independent hydrogen energy system unit; It is an independent hydrogen energy system in the first The total discharge power of the independent hydrogen energy system in the time period, i.e., the total discharge power of the independent hydrogen energy system in the first time period. Flexibility in adjusting for different time periods; It is an independent hydrogen energy system The hydrogen fuel cell unit in the first Active power output over a given time period; It is an independent hydrogen energy system The hydrogen production equipment in the first Electricity load for a given time period; Relevant constraints of hydrogen production equipment: The relationship between the input power and output hydrogen of a hydrogen production device is shown in equation (5): （5） in, Indicates the electrolysis of water in the first stage Energy conversion efficiency over a time period; This refers to the density of hydrogen gas under standard conditions. It has the low calorific value of hydrogen. In the first The mass flow rate of hydrogen produced in a given time period; The upper and lower limits of the input power of the hydrogen production equipment are shown in equation (6): （6） in, It is an independent hydrogen energy system The minimum input power of the hydrogen production equipment in the process; It is an independent hydrogen energy system The maximum input power of the hydrogen production equipment in the system; Independent hydrogen energy system The hydrogen production equipment in the first A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup; Relevant constraints of hydrogen fuel cell units: The relationship between the active power output of a hydrogen fuel cell unit and the hydrogen supply is shown in equation (7): （7） in, The high calorific value of hydrogen; For the power generation efficiency of hydrogen fuel cell units; For the first The mass flow rate of hydrogen is supplied over a specific time period; The upper and lower limits of the active power output of the hydrogen fuel cell unit are shown in equation (8): （8） in, It is an independent hydrogen energy system The minimum active power output of hydrogen fuel cell units in China; It is an independent hydrogen energy system The maximum active power output of the hydrogen fuel cell unit in the system; Independent hydrogen energy system Hydrogen fuel cell units in the time period The 0-1 state variable has a value of 0 representing off and a value of 1 representing on; Relevant constraints of hydrogen storage tanks: The relationship between the gas storage capacity of the hydrogen storage tank and its filling and venting is shown in equation (9): （9） in, and They were respectively in the second The time period and the first Independent hydrogen energy systems for different time periods The total mass of hydrogen in the hydrogen storage tank; The gas storage capacity constraint of the hydrogen storage tank is shown in equation (10): （10） in, and Each is an independent hydrogen energy system The minimum and maximum total hydrogen mass stored in the hydrogen storage tanks; The constraints on the filling and venting rates of the hydrogen storage tank are shown in equations (11)-(12): （11） （12） in, and Each is an independent hydrogen energy system The maximum filling and venting rates of the hydrogen storage tank in the middle; 3) Flexibility model for user-side independent energy storage systems, specifically including: The flexibility of an independent energy storage system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (13): （13） in, Representing the Each independent energy storage system unit; It is an independent energy storage system in the first The total discharge power of the independent energy storage system in the first time period, i.e., the total discharge power of the independent energy storage system in the first time period. Flexibility in adjusting for different time periods; It is an independent energy storage system In the Discharge power over a time period; It is an independent energy storage system In the Charging power over a specific time period; The charging and discharging power constraints of the independent energy storage system are shown in equations (14)-(15): （14） （15） in, It is an independent energy storage system The minimum allowable charging power; It is an independent energy storage system Maximum permissible charging power; It is an independent energy storage system The maximum permissible discharge power; It refers to an independent energy storage system. In the A 0-1 auxiliary variable indicating whether charging or discharging occurs within a given time period. A value of 0 represents no charging, and a value of 1 represents no discharging. The relationship between the initial charge and charge / discharge capacity of an independent energy storage system is shown in equation (16): （16） in, , , Each is an independent energy storage system Natural power loss rate, charging efficiency, and discharging efficiency; , These represent independent energy storage systems. In the The time period and the first Battery usage over a specific time period; The energy constraint of an independent energy storage system is shown in equation (17): （17） in, , Each is an independent energy storage system The minimum and maximum allowable power consumption.

3. The method according to claim 2, characterized in that, The method further includes: Establish a D-level flexibility model, specifically including: 1) The flexibility model of the diesel generator system, specifically including: The flexibility of the diesel generator system is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (18): （18） in, Indicates the first Each diesel generator system unit; The diesel generator system is in the first The total discharge power of the diesel generator system in the specified time period, i.e., the total discharge power of the diesel generator system in the specified time period. Flexibility in adjusting for different time periods; It is a diesel generator system unit In the The amount of effort contributed during a specific time period; The upper and lower limits of the output power of the diesel generator set itself are constrained as shown in equation (19): （19） in, It is a diesel generator system unit The minimum active power output; It is a diesel generator system unit Maximum active power output; This represents the diesel generator system unit. In time period The 0-1 state variable has a value of 0 representing off and a value of 1 representing on; The maximum flexibility of diesel generator set adjustment is constrained by the uptime rate, as shown in equation (20): （20） in, The first part corresponds to the flexibility of diesel generator systems; It is the serial number of the rack that has been used; This refers to the diesel generator system unit Used racks within the backup power range; It is the serial number of the refrigeration equipment that has been used; This refers to the diesel generator system unit Refrigeration equipment already in use within the backup power range; This is the rated power of the racks already in use; This is the rated power of the refrigeration equipment already in use; It is a diesel generator system unit The proportion of reserve demand; The maximum downward adjustment flexibility of diesel generator sets is constrained by the power of IT equipment and refrigeration equipment, as shown in equation (21): （21） in, The second part corresponds to the flexibility of diesel generator systems; in, Is the rack already in use? In the Load base value for a time period; Refrigeration equipment is already in use. In the Load base value for a time period; If the power adjustment of IT equipment and refrigeration equipment is taken into account, the maximum downward adjustment flexibility of the diesel generator set is constrained by the power of IT equipment and refrigeration equipment, as shown in equation (22): （22） in, The third part corresponds to the flexibility of diesel generator systems; in, Is the rack already in use? In the Load forecast values ​​for a specific time period; Refrigeration equipment is already in use. In the Load forecast values ​​for a specific time period; 2) Battery flexibility model, specifically including: The flexibility of a storage battery is characterized by taking the downward adjustment direction as the positive direction, as shown in equation (23): （23） in, It is the first One battery system unit; The battery system is in the first The total discharge power of the battery system in the first time period, i.e., the total discharge power of the battery system in the first time period. Flexibility in adjusting for different time periods; It is a battery system In the Discharge power over a time period; It is a battery system In the Charging power over a specific time period; The charging and discharging constraints and capacity constraints of the battery itself are shown in equations (24)-(27): （24） （25） （26） （27） in, It is a battery system The minimum allowable charging power; It is a battery system Maximum permissible charging power; It is a battery system The maximum permissible discharge power; This indicates a battery system. In the A 0-1 auxiliary variable indicating whether charging or discharging occurs within a given time period. A value of 0 represents no charging, and a value of 1 represents no discharging. , , Battery system Natural power loss rate, charging efficiency, and discharging efficiency; , These represent the battery system. In time period and time period The amount of electricity; , Battery system The minimum and maximum allowable power consumption; The maximum flexibility of battery price reduction is constrained by shelf availability. （28） in, The first part corresponds to the flexibility of the battery system; in, It is a battery system Backup power time for racks and refrigeration equipment already in use within its power supply range; The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (29): （29） in, This refers to the battery system Racks already in use within the power supply range; This refers to the battery system Refrigeration equipment already in use within the power supply range; It is a battery system The power supply ratio of the racks and refrigeration equipment already in use within its power supply range; It is allocated to the battery system The capacity of the power distribution system within its power supply range; The maximum flexibility of battery capacity reduction is constrained by the power requirements of IT and cooling equipment. （30） in, The second part corresponds to the flexibility of the battery system; The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (31): （31） in, This refers to the battery system Racks already in use within the power supply range; This refers to the battery system Refrigeration equipment already in use within the power supply range; It is a battery system The power supply ratio of the racks and refrigeration equipment already in use within its power supply range; It is allocated to the battery system The capacity of the power distribution system within its power supply range; If the power adjustment of IT equipment and cooling equipment is taken into account, the maximum flexibility of the battery to be reduced is constrained by the power of IT equipment and cooling equipment: （32） in, The third part corresponds to the flexibility of the battery system; The charging and discharging of the battery is constrained by the capacity of the front-end power distribution system, as shown in equation (33): （33）。 4. The method according to claim 3, characterized in that, The method further includes: Establish a C-level flexibility model, specifically including: The flexibility of refrigeration equipment is characterized by the downward adjustment direction as the positive direction, as shown in equation (34): （34） in, The refrigeration equipment system is in the first The total power reduction in the time period, that is, the cooling equipment in the first time period. Flexibility in adjusting for different time periods; The upper and lower limits of power consumption of the refrigeration equipment itself are constrained as shown in equation (35): （35） in, It is a refrigeration equipment system unit The minimum active power output; It is a refrigeration equipment system unit Maximum active power output; It represents a refrigeration equipment system unit. In the A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup; The correlation constraints between the power of the refrigeration equipment and the temperature and humidity within its refrigeration range and the temperature and humidity of the previous time period, the power consumption of the IT equipment, the ambient temperature and humidity, and the setpoints of temperature and humidity are shown in Equation (36): （36） in, It is the first One cooling range; Refers to the cooling range The refrigeration equipment already in use inside; Refers to the cooling range The racks already in use; and These are the cooling ranges. In the The time period and the first Temperature over a specific time period; and These are the cooling ranges. In the The time period and the first Humidity over a specific time period; and These are the cooling ranges. In the Set the temperature and humidity values ​​to be maintained for a specific time period; and These are the cooling ranges. In the Temperature and humidity outside the range of a specific time period; It is a correlation function between the power of the refrigeration equipment and the temperature and humidity within its refrigeration range, the temperature and humidity of the previous time period, the power consumption of the IT equipment, the ambient temperature and humidity, and the temperature and humidity setpoints. The maximum downward adjustment flexibility of refrigeration equipment is constrained by the acceptable temperature range, as shown in equation (37): （37） in, The first part corresponds to the flexibility of refrigeration equipment; in, and These are the cooling ranges. The minimum and maximum allowable temperatures; The maximum adjustment flexibility of the refrigeration equipment is constrained by the combination of the refrigeration equipment itself, as shown in equation (38): （38） in, The second part corresponds to the flexibility of refrigeration equipment; If the power adjustment of IT equipment is taken into account, the maximum reduction flexibility of the cooling equipment is constrained by the power consumption of IT equipment, as shown in equation (39): （39） in, The part corresponding to the refrigeration equipment with a high degree of flexibility is the part with strong special characteristics.

5. The method according to claim 4, characterized in that, The method further includes: Establish a Level B flexibility model, specifically including: The flexibility of IT equipment is characterized by the downward adjustment direction as the positive direction, as shown in equation (40): （40） in, IT equipment in the The total power reduction in the time period, that is, the IT equipment in the first time period. Flexibility in adjusting for different time periods; IT equipment unit In the The base power consumption value for a given time period; The upper and lower limits of power consumption of IT equipment itself are constrained as shown in equation (41): （41） in, IT equipment unit The minimum active power output; IT equipment unit Maximum active power output; It represents an IT equipment unit. In the A 0-1 state variable for a time period, where a value of 0 represents shutdown and a value of 1 represents startup; The correlation function between the power of IT equipment and the computing power demand and latency of its computing cluster is shown in Equation (42): （42） in, It is the first One computing cluster; It is the first Type of business; refers to computing power clusters The racks already in use; It refers to a computing power cluster The business being processed, where if the business Processing is performed across multiple clusters, denoted as... ; It's a business In the Baseline computing power demand for a given time period; It's a business The short-delay base value; It is a correlation function between the power of IT equipment and the computing power requirements and latency of its computing cluster. The maximum flexibility of IT is constrained by the combination of the cooling equipment itself, as shown in equation (43): （43） in, The first part corresponds to the flexibility of IT equipment; If business adjustments are taken into account, the maximum flexibility of IT equipment reduction is constrained by the following of business volume and latency, as shown in equation (44): （44） in, The second part corresponds to the flexibility of IT equipment; in, It's a business In the The computing power requirement for a given time period; It's a business Short latency.

6. The method according to claim 5, characterized in that, The method further includes: Establish a flexibility model at level A, specifically including: The flexibility of business logic is represented by the downward adjustment direction as the positive direction, as shown in equation (45): （45） in, It is a computing power cluster Business within the scope of the first The total reduction over a given time period, i.e., the computing power cluster Business within the scope of the first Flexibility in adjusting for different time periods; The upper and lower limits of the computing power requirements for the business are constrained as shown in equation (46): （46） in, It's a business In the The total computing power demand generated by the user side during a given time period; It's a business The long latency, in terms of time period Time scale; It's a business Minimum execution ratio of total computing power requirement; It's a business The maximum execution ratio of total computing power requirements; The latency constraints of the service are shown in equations (47)-(48): （47） （48） in, It's a business Maximum permissible short latency setting; It's a business The maximum allowable long delay setting.

7. The method according to claim 6, characterized in that, The assessment of the flexibility of the computing center campus under different scenarios based on the aforementioned flexibility model includes: 1) Only consider flexibility without special characteristics; When considering all levels: The flexibility expression of the computing center campus is shown in equation (49): （49） in, The computing center park is in the 19th Flexibility in time periods; Constrained by equations (1)-(3), Constrained by equations (4)-(12), Constrained by equations (13)-(17). Constrained by equations (18)-(20), Constrained by equations (23)-(29); When considering partial levels: The flexibility of a computing center campus is the sum of the flexibility of all considered layers, and among them, Constrained by equations (1)-(3), Constrained by equations (4)-(12), Constrained by equations (13)-(17). Constrained by equations (18)-(20), Constrained by equations (23)-(29); 2) Flexibility that considers both no specialness and weak specialness; When considering all levels: The flexibility expression of the computing center park is shown in equation (50): （50） in, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (21); Constrained by equations (23)-(27), (30)-(31); Constrained by equations (34)-(35), (37)-(38); When considering partial levels: The flexibility of a computing center campus is the sum of the flexibility of all considered layers, and among them, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (21); Constrained by equations (23)-(27), (30)-(31); Constrained by equations (34)-(35), (37)-(38); 3) Consider the flexibility of having no specificity, weak specificity, and strong specificity simultaneously; When considering all levels: The flexibility expression of the computing center park is shown in equation (51): （51） in, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48); When considering partial levels: The flexibility of a computing center campus is expressed as the sum of the flexibility of all considered layers, where, Constrained by equations (1)-(3); Constrained by equations (4)-(12); Constrained by equations (13)-(17); Constrained by equations (18)-(19), (22); Constrained by equations (23)-(27), (32)-(33); Constrained by equations (34)-(35), (37), and (39); Constrained by equations (40)-(41), (44); and jointly constrained by equations (45)-(48).

8. A flexibility assessment device based on a multi-level hierarchical structure of a computing center campus, characterized in that, include: The hierarchical classification module is used to divide the flexibility of each device in the computing center park into multiple levels and grades based on its relevance to the business logic of the computing center park. The grades include: no specificity, weak specificity, and strong specificity. No specificity means that the flexibility capacity of the corresponding device is not constrained by business requirements and is not coupled with the business logic of the computing center park. Weak specificity means that the flexibility capacity of the corresponding device is constrained by business requirements. Strong specificity means that the flexibility capacity of the corresponding device is constrained by business requirements and is strongly coupled with the business logic of the computing center park. The flexibility model construction module is used to establish flexibility models for each level in the computing center park based on the division results of the hierarchy and level. The evaluation module is used to evaluate the flexibility of the computing center park under different scenarios based on the flexibility model; the different scenarios include: flexibility that only considers no particularity, flexibility that considers both no particularity and weak particularity, and flexibility that considers both no particularity, weak particularity and strong particularity. Specifically, the division of the flexibility of each device in the computing center park into multiple levels and grades includes: 1) Level E: Flexibility provided by the lighting system, independent hydrogen energy system, and independent energy storage system on the user side within the computing center campus; among which: The flexibility of the lighting system comes from its own energy consumption flexibility characteristics; the flexibility category is load reduction capability. The flexibility of the independent hydrogen energy system comes from its own energy consumption flexibility characteristics; the flexibility category is long-term energy storage. The flexibility of the user-side independent energy storage system comes from its own energy consumption flexibility characteristics; the flexibility category is energy storage. Among them, the flexibility levels of level E are all without special characteristics; 2) Level D: Flexibility provided by power supply reliability assurance equipment, including: diesel generator systems and batteries; wherein: The flexibility of the diesel generator system is divided into three parts: Part 1: For computing centers with low rack utilization, the source of flexibility for the diesel generator system is the redundancy of backup demand for the diesel generator system; the flexibility category is adjustable generator set; the flexibility level is no special feature. Part Two: During periods of low business volume, the flexibility of the diesel generator system originates from the redundancy of the diesel generator system's backup demand; the flexibility category is follow-up redundancy; and the flexibility level is weak specificity. Part Three: By adjusting the power consumption of business computing and storage requirements, IT equipment, and refrigeration equipment, the flexibility of the diesel generator system comes from the adaptive adjustment of backup requirements; the flexibility category is adaptive redundancy; and the flexibility level is strong specificity. The flexibility of the battery is divided into three parts: Part 1: For computing centers with low rack utilization rates, the source of battery flexibility is redundancy for backup battery demand; the flexibility category is battery energy storage; the flexibility level is no special feature. Part Two: During periods of low business volume, the flexibility of the battery comes from the redundancy of battery backup demand; the flexibility category is follow-up redundancy; the flexibility level is weak specificity. Part Three: By adjusting the computing and storage requirements of the business, the power consumption of IT equipment and cooling equipment, the flexibility of the battery comes from the adaptive adjustment of backup requirements; the flexibility category is adaptive redundancy; the flexibility level is strong specificity. 3) Level C: Flexibility provided by refrigeration equipment; The flexibility of the refrigeration equipment is divided into three parts: Part 1: The flexibility of the refrigeration equipment comes from the adjustability of its power; the flexibility category is building-like energy storage; the flexibility level is weak specialization. Part Two: The flexibility of the refrigeration equipment comes from the optimization of the combination of various refrigeration devices to achieve power consumption adjustment under a fixed cooling capacity requirement; the flexibility category is power adjustment achieved through combination optimization; the flexibility level is weak specificity. Part Three: The flexibility of the cooling equipment comes from adjusting the computing and storage requirements of the business and the power consumption of IT equipment to achieve adaptive adjustment of the cooling equipment's power consumption; the flexibility category is the adaptive load of IT equipment power consumption; the flexibility level is strong specificity; 4) Level B: Flexibility provided by IT equipment; The flexibility of the IT equipment is divided into two parts: Part 1: The source of the flexibility of the IT equipment is to achieve power consumption adjustment of IT equipment under fixed computing power requirements through the optimization of IT equipment combination; the flexibility category is to achieve power adjustment through combination optimization; the flexibility level is strong specificity; Part Two: The source of the flexibility of the IT equipment is the ability to adjust the power consumption of the IT equipment by adjusting the computing and storage requirements; the flexibility category is the following load of computing and storage requirements; the flexibility level is strong specificity; 5) Level A: Flexibility provided by the business logic of the computing center park; The flexibility of the business logic comes from three sources: Category 1: Business computing and storage requirements can be reduced; flexibility category is reduceable load. The second category: the computing and storage requirements of the business can be shifted over time; the flexibility category is shiftable load. The third category: the computing and storage requirements of the business are transferable on a spatial scale; the flexibility category is transferable load. Among them, the flexibility level of Level A is strong specificity.

Images