Base Station Configuration Method, Device, Computer Equipment, Storage Medium and Program Product

Abstract

The present application relates to a base station configuration method, apparatus, computer device, storage medium, and program product. The method includes: obtaining the historical data processing load of a base station in a target area, and obtaining the historical power supply data of a power supply system that powers the base station in the target area; based on the historical data processing load and the historical power supply data, constructing a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change cooling storage system configuration parameters of the target base station; based on the first constraint condition and the second constraint condition, solving a pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cooling storage system configuration parameters; setting a power supply system for the target base station according to the power supply system configuration parameters, and setting a phase change cooling storage system for the target base station according to the phase change cooling storage system configuration parameters. Using this method, a power supply system and a phase change cooling storage system that meet the working requirements can be configured for the base station.

Description

Technical Field

[0001] This application relates to the technical field of base stations, and in particular, to a base station configuration method, device, computer device, storage medium, and program product. Background Art

[0002] To meet the future development needs and comprehensively improve communication quality, China is vigorously building 5G base stations, and in the near future, remote areas will also be able to enjoy the dividends of technological development. For the normal operation of 5G base stations, normal power supply and cooling for the base stations are required. Using a renewable energy power generation system to supply power to 5G base stations and using a phase change energy storage cooling system to cool 5G base stations is the current trend. However, due to the weak elasticity of the power consumption load of 5G base stations, how to configure a renewable energy power generation system and a phase change energy storage cooling system for 5G base stations so that the configured renewable energy power generation system and phase change energy storage cooling system can meet the normal working requirements of 5G base stations has become an urgent problem to be solved. Summary of the Invention

[0003] Based on this, in view of the above technical problems, it is necessary to provide a base station configuration method, device, computer device, storage medium, and program product.

[0004] In a first aspect, this application provides a base station configuration method, which includes: obtaining the historical data processing load of a base station in a target area, and obtaining the historical power supply data of a power supply system that supplies power to the base station in the target area; based on the historical data processing load and the historical power supply data, constructing a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change energy storage cooling system configuration parameters of the target base station, where the target base station is a base station located in the target area; based on the first constraint condition and the second constraint condition, solving a pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters; setting a power supply system for the target base station according to the power supply system configuration parameters, and setting a phase change energy storage cooling system for the target base station according to the phase change energy storage cooling system configuration parameters.

[0005] In one embodiment, obtaining the historical data processing load of a base station in a target area includes: obtaining the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to different historical moments of the base station in the target area; where the rigid data processing load is the data load that must be processed immediately by the base station, the displaceable data processing load is the data load sent from the base station to an adjacent base station, and the time-shiftable data processing load is the data load that does not need to be processed immediately by the base station.

[0006] In one embodiment, obtaining the historical power supply data of a power supply system that supplies power to a base station in a target area includes: obtaining the unit capacity fan and unit photovoltaic power generation power that supply power to the base station at different historical moments in the target area.

[0007] In one embodiment, the first constraint condition includes:

[0008]

[0009] 0 ≤ ρ t ≤ 1

[0010]

[0011]

[0012]

[0013]

[0014] P t L = P t L1 + P t L2 * + P t L3 *

[0015] Wherein, represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load at time i (i ≤ t) transferred to the power consumption at time t; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t.

[0016] In one embodiment, the second constraint condition includes:

[0017]

[0018]

[0019]

[0020]

[0021]

[0022] and τ + T F +1, τ + T F +2, …, τ + T F +n

[0023]

[0024] where ζ represents the heat generation rate of the data processing load; represents the cooling release power of the phase change energy storage cooling system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro - cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase change energy storage cooling system at time t; represents the energy storage parameter of the phase change energy storage cooling system at the starting moment of the preset time period; represents the energy storage parameter of the phase change energy storage cooling system at the ending moment of the preset time period; P t PV represents the unit - capacity fan at time t; P t WT represents the unit photovoltaic power generation at time t; P t G represents the diesel - engine power generation; represents the fan installed capacity; τ + 1 represents the fault occurrence moment; τ + T F represents the fault ending moment; represents the photovoltaic installed capacity; represents the rated diesel - engine power generation.

[0025] In one of the embodiments, the objective function includes:

[0026]

[0027] where,

[0028]

[0029] Among them, N M represents the service life of the heat pump per unit capacity; N EM represents the service life of the phase change material in the phase change energy storage system; N WT represents the service life of the fan; N PV represents the service life of the photovoltaic; p M represents the selling price of the heat pump per unit capacity; p EM represents the selling price of the phase change material; p WT represents the selling price of the fan; p PV represents the selling price of the photovoltaic; p E represents the payment price per unit power when transferring the load to the adjacent base station; ψ represents the operating cost per unit power of the diesel engine; represents the installed capacity of the fan; represents the installed capacity of the photovoltaic; represents the rated capacity of the phase change energy storage; represents the heat pump capacity; P t G represents the power generation power of the diesel engine; ρ t represents the retention ratio of the displaceable data processing load of the base station; C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0030] In one embodiment, based on the first constraint condition and the second constraint condition, the pre-created objective function is solved with the goal of minimizing the cost, including: splitting the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures correspond to the outer function, the middle function, and the inner function respectively;

[0031] Based on the first constraint condition and the second constraint condition, the particle swarm optimization algorithm is used to solve the outer function, the middle function, and the inner function with the goal of minimizing the cost;

[0032] Among them, the outer function, the middle function, and the inner function are in turn:

[0033] minC I +f O1

[0034]

[0035] min C O

[0036] Among them, f o1 = maxf o2 ,f o2 = minC0

[0037] Among them, C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0038] In a second aspect, the present application also provides a base station configuration device, which includes: a first acquisition module, configured to acquire the historical data processing load of the base station in the target area, and acquire the historical power supply data of the power supply system that powers the base station in the target area; a construction module, configured to construct a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change energy storage cooling system configuration parameters of the target base station based on the historical data processing load and the historical power supply data, where the target base station is a base station located in the target area; a second acquisition module, configured to solve a pre-created objective function with the lowest cost as the goal based on the first constraint condition and the second constraint condition, to obtain the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters; a configuration module, configured to set a power supply system for the target base station according to the power supply system configuration parameters, and set a phase change energy storage cooling system for the target base station according to the phase change energy storage cooling system configuration parameters.

[0039] In one embodiment, the first acquisition module is specifically configured to: acquire the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to the base station in the target area at different historical times; where the rigid data processing load is the data load that must be processed by the base station immediately, the displaceable data processing load is the data load sent from the base station to the adjacent base station, and the time-shiftable data processing load is the data load that does not need to be processed by the base station immediately.

[0040] In one embodiment, the first acquisition module is specifically configured to: acquire the unit capacity fan and unit photovoltaic power generation power that supply power to the base station in the target area at different historical times.

[0041] In one embodiment, the first constraint condition includes:

[0042]

[0043] 0 ≤ ρ t ≤ 1

[0044]

[0045]

[0046]

[0047]

[0048] P tL = P t L1 + P t L2 * + P t L3 *

[0049] where P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load at time i (i ≤ t) shifted to time t for power consumption; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t.

[0050] In one embodiment, the second constraint condition includes:

[0051]

[0052]

[0053]

[0054]

[0055]

[0056] and τ + T F + 1, τ + T F + 2, …, τ + T F + n

[0057]

[0058] Among them, ζ represents the heat generation rate of the data processing load; represents the cooling release power of the phase change energy storage cooling system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro-cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase change energy storage cooling system at time t; represents the energy storage parameter of the phase change energy storage cooling system at the starting moment of the preset time period; represents the energy storage parameter of the phase change energy storage cooling system at the ending moment of the preset time period; P t PV represents the unit capacity fan at time t; P t WT represents the unit photovoltaic power generation at time t; P t G represents the diesel generator power generation; represents the installed capacity of the fan; τ + 1 represents the moment of fault occurrence; τ + T F represents the end moment of the fault; represents the installed capacity of the photovoltaic; represents the rated power generation of the diesel generator.

[0059] In one of the embodiments, the objective function includes:

[0060]

[0061] Among them,

[0062]

[0063] Among them, N M represents the service life of the unit capacity heat pump; N EM represents the service life of the phase change material in the phase change energy storage cooling system; N WT represents the service life of the fan; N PV represents the service life of the photovoltaic; p M represents the selling price of the unit capacity heat pump; p EM represents the selling price of the phase change material; p WT represents the selling price of the fan; p PV represents the selling price of the photovoltaic; p EIt represents the payment price per unit power when transferring the load to the neighboring base station; ψ represents the operating cost per unit power of the diesel engine; It represents the installed capacity of the wind turbine; It represents the installed capacity of the photovoltaic power generation; It represents the rated capacity of the phase change energy storage; It represents the capacity of the heat pump; P t G It represents the power generation power of the diesel engine; ρ t It represents the retention ratio of the displaceable data processing load of the base station; C I It represents the average annual investment cost of the base station; C O It represents the annual operating cost of the base station.

[0064] In one embodiment, the second acquisition module is specifically configured to: split the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures respectively correspond to an outer-layer function, a middle-layer function, and an inner-layer function;

[0065] Based on the first constraint condition and the second constraint condition, use the particle swarm optimization algorithm to solve the outer-layer function, the middle-layer function, and the inner-layer function with the lowest cost as the goal;

[0066] Among them, the outer-layer function, the middle-layer function, and the inner-layer function are in turn:

[0067] minC I +f O1

[0068]

[0069] min C O

[0070] Among them, f o1 =maxf o2 ,f o2 =minC 0

[0071] Among them, C I It represents the average annual investment cost of the base station; C O It represents the annual operating cost of the base station.

[0072] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, it implements the steps of the method according to any one of the first aspects above.

[0073] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the method according to any one of the first aspects above.

[0074] Fifth aspect, the present application also provides a computer program product. The computer program product includes a computer program which, when executed by a processor, implements the steps of the method according to any one of the above first aspects.

[0075] The beneficial effects brought by the technical solutions provided in the embodiments of the present application at least include:

[0076] In the embodiments of the present application, first, obtain the historical data processing load of the base stations in the target area, and obtain the historical power supply data of the power supply system that powers the base stations in the target area; secondly, based on the historical data processing load and the historical power supply data, construct the first constraint condition for the power supply system configuration parameters of the target base station and the second constraint condition for the phase change energy storage cooling system configuration parameters of the target base station, where the target base station is the base station located in the target area; thirdly, based on the first constraint condition and the second constraint condition, solve the pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters; finally, set the power supply system for the target base station according to the power supply system configuration parameters, and set the phase change energy storage cooling system for the target base station according to the phase change energy storage cooling system configuration parameters. It can be seen that in the embodiments of the present application, based on obtaining the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters, it is possible to configure a power supply system and a phase change energy storage cooling system that meet the working requirements for the base station. Description of the Drawings

[0077] Figure 1 It is a schematic diagram of an implementation environment provided by an embodiment of the present application;

[0078] Figure 2 It is a flowchart of a base station configuration method provided by an embodiment of the present application;

[0079] Figure 3 It is a structural block diagram of a base station configuration device provided by an embodiment of the present application;

[0080] Figure 4 It is an internal structure diagram of a computer device provided by an embodiment of the present application. Detailed Embodiments

[0081] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0082] To meet the future development needs and comprehensively improve communication quality, China is vigorously building 5G base stations, and in the near future, remote areas will also be able to enjoy the dividends of technological development. For the normal operation of 5G base stations, normal power supply and cooling for the base stations are required. Using renewable energy power generation systems to supply power for 5G base stations and using phase change cooling storage systems to supply cooling for 5G base stations are the current trends. However, due to the weak elasticity of the power consumption load of 5G base stations, how to configure renewable energy power generation systems and phase change cooling storage systems for 5G base stations so that the configured renewable energy power generation systems and phase change cooling storage systems can meet the normal working requirements of 5G base stations has become an urgent problem to be solved.

[0083] In view of this, the embodiments of the present application provide a base station configuration method, device, computer device, storage medium and program product. Using this base station configuration method, a power supply system and a phase change cooling storage system that meet the working requirements can be configured for the base station.

[0084] Please refer to Figure 1 , which shows a schematic diagram of the implementation environment involved in the base station configuration method provided by the embodiments of the present application. As Figure 1 shown, the execution subject of the base station configuration method provided by the embodiments of the present application can be a computer device or a computer device cluster composed of multiple computer devices. Different computer devices can communicate with each other through wired or wireless means. The wireless means can be implemented through WIFI, operator networks, NFC (Near Field Communication) or other technologies.

[0085] Please refer to Figure 2 , which shows a flowchart of a base station configuration method provided by the embodiments of the present application. This base station configuration method can be applied to the Figure 1 shown computer device. As Figure 2 shown, this base station configuration method can include the following steps:

[0086] Step 201, the computer device obtains the historical data processing load of the base station in the target area and obtains the historical power supply data of the power supply system that supplies power to the base station in the target area.

[0087] Among them, obtaining the historical data processing load of the base stations in the target area includes obtaining the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to different historical moments of the base stations in the target area. Among them, the rigid data processing load is the data load that must be processed immediately by the base station, the displaceable data processing load is the data load sent from the base station to the adjacent base stations, and the time-shiftable data processing load is the data load that does not need to be processed immediately by the base station. Optionally, a renewable energy power generation system can be used as the power supply system for the base station, and the power supply system can be a wind turbine and / or a photovoltaic generator. Optionally, obtaining the historical power supply data of the power supply system for the base station in the target area may include obtaining the unit capacity wind turbine and unit photovoltaic power generation for powering the base station at different historical moments in the target area.

[0088] Step 202: The computer device constructs a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change energy storage cooling system configuration parameters of the target base station based on the historical data processing load and the historical power supply data.

[0089] Among them, the target base station is a base station located in the target area; the first constraint condition is the condition that the power supply system configuration parameters of the target base station need to meet; the second constraint condition is the condition that the phase change energy storage cooling system configuration parameters of the target base station need to meet; the phase change energy storage cooling system includes a heat pump, phase change materials, a fan, etc. Among them, the heat pump can consume renewable energy power generation and store it in the phase change materials.

[0090] Step 203: The computer device solves the pre-created objective function with the lowest cost as the goal based on the first constraint condition and the second constraint condition to obtain the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters.

[0091] Optionally, the objective function can be the cost of operating the target base station. Based on the first constraint condition and the second constraint condition of the target base station that have been constructed, the objective function can be solved with the lowest cost as the goal, and then the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters can be obtained.

[0092] Step 204: The computer device sets a power supply system for the target base station according to the power supply system configuration parameters and sets a phase change energy storage cooling system for the target base station according to the phase change energy storage cooling system configuration parameters.

[0093] In the embodiments of the present application, first, obtain the historical data processing load of the base stations in the target area, and obtain the historical power supply data of the power supply system that powers the base stations in the target area; second, based on the historical data processing load and the historical power supply data, construct the first constraint condition for the power supply system configuration parameters of the target base station and the second constraint condition for the phase change cooling storage system configuration parameters of the target base station, where the target base station is a base station located in the target area; third, based on the first constraint condition and the second constraint condition, solve the pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cooling storage system configuration parameters; finally, set the power supply system for the target base station according to the power supply system configuration parameters, and set the phase change cooling storage system for the target base station according to the phase change cooling storage system configuration parameters. It can be seen that in the embodiments of the present application, based on the obtained power supply system configuration parameters and the phase change cooling storage system configuration parameters, a power supply system and a phase change cooling storage system that meet the working requirements can be configured for the base station.

[0094] In one of the embodiments of the present application, the first constraint condition for the power supply system configuration parameters of the target base station constructed includes formulas (1) to (7), where formula (1) indicates that the displaceable data processing load actually processed by the base station at time t is equal to the sum of the displaceable data processing load retained at the base station and the additional power loss generated by the displaceable data processing load sent to the neighboring base stations; formula (2) represents the proportion constraint of the displaceable data processing load retained by the base station; formula (3) indicates that the time-shiftable data processing load actually processed by the base station at time t is equal to the sum of all the time-shiftable data processing loads transferred to the current time at time i (i ≤ t); formula (4) represents that the time-shiftable data processing load transferred from time i (i ≤ t) to time t cannot be greater than the original time-shiftable data processing load at time i; formula (5) indicates that all the time-shiftable data processing loads transferred from time i to subsequent times are equal to the original time-shiftable data processing load at that time; formula (6) represents the time-shiftable data processing load constraint considering the movement time limit; formula (7) indicates that the data processing load of the base station at time t is equal to the sum of the rigid data processing load at time t, the displaceable data processing load actually processed by the base station, and the time-shiftable data processing load actually processed by the base station. The expressions of formulas (1) to (7) are as follows:

[0095]

[0096] 0 ≤ ρ t ≤ 1 (2)

[0097]

[0098]

[0099]

[0100]

[0101] P t L = P t L1 + P t L2 * + P t L3 * (7)

[0102] Among them, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent from the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load transferred from time i (i ≤ t) to time t for power consumption; T represents the scheduling period; M i-t is a constant. When the time-shiftable data processing load is allowed to be transferred from time i to t, M i-t is an infinite constant. When it is not allowed, M i-t is equal to 0, used to limit the allowable transfer time of the time-shiftable data processing load; P t L represents the data processing load of the base station at time t.

[0103] Since the target base station needs to be configured with a power supply system in addition to a phase change cooling storage system for cooling the target base station, it is necessary to obtain the configuration parameters of the phase change cooling storage system of the target base station. Before obtaining the configuration parameters of the phase change cooling storage system of the target base station, it is necessary to construct the second constraint condition of the configuration parameters of the phase change cooling storage system of the target base station, which includes formulas (8) to (14). Among them, formula (8) represents the correlation constraint between the base station data processing load and the cooling demand; formula (9) represents the operating power constraint of the heat pump in the phase change cooling storage system; formulas (10) to (12) represent the energy storage constraint of the phase change cooling storage system; formula (13) represents the power balance constraint among the fan, the photovoltaic generator, and the diesel engine; formula (14) represents the diesel engine power generation constraint. The expressions of formulas (8) to (14) are as follows:

[0104]

[0105]

[0106]

[0107]

[0108]

[0109] and τ + T F +1, τ + T F +2, …, τ + T F +n (13)

[0110]

[0111] Among them, ζ represents the heat generation rate of the data processing load; represents the cooling release power of the phase change cooling storage system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro - cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase change cooling storage system at time t; represents the energy storage parameter of the phase change cooling storage system at the start time of the preset time period; represents the energy storage parameter of the phase change cooling storage system at the end time of the preset time period; P t PVDenote the fan with unit capacity at time t; P t WT Denote the unit photovoltaic power generation at time t; P t G Denote the diesel generator power generation; Denote the installed capacity of the fan; τ + 1 denotes the fault occurrence time; τ + T F Denote the fault end time; Denote the installed capacity of the photovoltaic; Denote the rated power generation of the diesel generator. It should be noted that n is a value set according to requirements and n is a positive integer. However, in order to make the configuration parameters of the power supply system and the phase change energy storage system obtained as accurate as possible, the value of n should be made as large as possible so that the historical data processing load and historical power supply data obtained are as much as possible.

[0112] After constructing the first constraint condition of the power supply system configuration parameters of the target base station and the second constraint condition of the phase change energy storage system configuration parameters of the target base station, it is necessary to solve the pre-created objective function with the lowest cost as the goal. Among them, the pre-created objective function is as follows:

[0113]

[0114] Among them,

[0115]

[0116] Among them, N M Denote the service life of the heat pump with unit capacity; N EM Denote the service life of the phase change material in the phase change energy storage system; N WT Denote the service life of the fan; N PV Denote the service life of the photovoltaic; p M Denote the selling price of the heat pump with unit capacity; p EM Denote the selling price of the phase change material; p WT Denote the selling price of the fan; p PV Denote the selling price of the photovoltaic; p E Denote the payment price per unit power when transferring the load to the adjacent base station; ψ denotes the operating cost per unit power of the diesel generator; Denote the installed capacity of the fan; Denote the installed capacity of the photovoltaic; Denote the rated capacity of the phase change energy storage; Denote the capacity of the heat pump; P t G Denote the diesel generator power generation; ρ t Denote the retention ratio of the displaceable data processing load of the base station; C I Denote the average annual investment cost of the base station; CO represents the annual operating cost of the base station. Here, the meaning of formula (15) is explained. In formula (15), represents selecting the maximum value from the minimum values of the annual operating cost C O .

[0117] Optionally, based on the first constraint condition and the second constraint condition, the process of solving the pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cooling energy storage system configuration parameters can be as follows: First, split the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures correspond to the outer function, the middle function, and the inner function respectively; Second, based on the first constraint condition and the second constraint condition, use the particle swarm optimization algorithm to solve the outer function, the middle function, and the inner function with the lowest cost as the goal, and obtain the power supply system configuration parameters and the phase change cooling energy storage system configuration parameters; Among them, the outer function, the middle function, and the inner function are in turn:

[0118] minC I +f O1

[0119]

[0120] min C O

[0121] Among them, f o1 = maxf o2 , f o2 = minC 0

[0122] Among them, C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0123] Optionally, minC I +f O1 can be used as the outer layer of the split objective function, can be used as the middle layer of the split objective function, and minC O can be used as the inner layer of the split objective function, and solve the outer function, the middle function, and the inner function with the lowest cost as the goal through the particle swarm optimization algorithm. Among them, the particle swarm optimization algorithm is an algorithm that continuously iterates to solve the optimal solution.

[0124] In the embodiments of the present application, based on the first constraint condition and the second constraint condition, the outer function, the middle function, and the inner function corresponding to the objective function are solved by the particle swarm algorithm with the lowest cost as the goal. Finally, the optimal values of all unknown parameters in the first constraint condition, the second constraint condition, and the objective function can be obtained. Among them, the most important thing is to obtain the power supply system configuration parameters: the installed capacity of the fan The installed capacity of the photovoltaic And the diesel generator power P t G , and the phase change energy storage cooling system configuration parameters: the rated capacity of the phase change energy storage And the heat pump capacity By obtaining the power supply system configuration parameters and the phase change energy storage cooling system configuration parameters, a power supply system and a phase change energy storage cooling system can be set for the target base station.

[0125] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps does not have a strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0126] In one of the embodiments of the present application, a base station configuration device 300 is provided. The base station configuration device 300 can be configured in the above computer device. The base station configuration device 300 includes: a first acquisition module 301, a construction module 302, a second acquisition module 303, and a configuration module 304.

[0127] Among them, the first acquisition module 301 is used to acquire the historical data processing load of the base stations in the target area and the historical power supply data of the power supply system that powers the base stations in the target area; the construction module 302 is used to construct the first constraint condition of the power supply system configuration parameters of the target base station and the second constraint condition of the phase change cooling energy storage system configuration parameters of the target base station based on the historical data processing load and the historical power supply data, where the target base station is the base station located in the target area; the second acquisition module 303 is used to solve the pre-created objective function with the lowest cost as the goal based on the first constraint condition and the second constraint condition to obtain the power supply system configuration parameters and the phase change cooling energy storage system configuration parameters; the configuration module 304 is used to set the power supply system for the target base station according to the power supply system configuration parameters and set the phase change cooling energy storage system for the target base station according to the phase change cooling energy storage system configuration parameters.

[0128] In one embodiment of the present application, the first acquisition module 301 is specifically used to: acquire the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to different historical moments of the base stations in the target area; where the rigid data processing load is the data load that must be processed immediately by the base stations, the displaceable data processing load is the data load sent from the base stations to adjacent base stations, and the time-shiftable data processing load is the data load that does not need to be processed immediately by the base stations.

[0129] In one embodiment of the present application, the first acquisition module 301 is specifically used to: acquire the unit capacity fan and unit photovoltaic power generation power that supply power to the base stations at different historical moments in the target area.

[0130] In one embodiment of the present application, the first constraint condition includes:

[0131]

[0132] 0 ≤ ρ t ≤ 1

[0133]

[0134]

[0135]

[0136]

[0137] P t L =P t L1 +P t L2 *+P t L3 *

[0138] Among them, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the adjacent base station; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load at time i (i ≤ t) transferred to the power consumption at time t; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t.

[0139] In one embodiment of the present application, the second constraint condition includes:

[0140]

[0141]

[0142]

[0143]

[0144]

[0145] and τ + T F +1, τ + T F +2, …, τ + T F +n

[0146]

[0147] Among them, ζ represents the heat generation rate of the data processing load; represents the cooling release power of the phase change cool storage system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro - cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase - change cold storage system at time t; represents the energy storage parameter of the phase - change cold storage system at the starting moment of the preset time period; represents the energy storage parameter of the phase - change cold storage system at the ending moment of the preset time period; P t PV represents the fan per unit capacity at time t; P t WT represents the photovoltaic power generation per unit at time t; P t G represents the diesel - engine power generation; represents the installed capacity of the fan; τ + 1 represents the moment of fault occurrence; τ + T F represents the end moment of the fault; represents the installed capacity of the photovoltaic; represents the rated power generation of the diesel - engine.

[0148] In one embodiment of the present application, the objective function includes:

[0149]

[0150] Among them,

[0151]

[0152] Among them, N M represents the service life of the heat pump per unit capacity; N EM represents the service life of the phase - change material in the phase - change cold storage system; N WT represents the service life of the fan; N PV represents the service life of the photovoltaic; p M represents the selling price of the heat pump per unit capacity; p EM represents the selling price of the phase - change material; p WT represents the selling price of the fan; p PV represents the selling price of the photovoltaic; p E represents the payment price per unit power when transferring the load to the adjacent base station; ψ represents the operating cost per unit power of the diesel - engine; represents the installed capacity of the fan; represents the installed capacity of the photovoltaic; represents the rated capacity of the phase - change energy storage; represents the capacity of the heat pump; Pt G represents the power generation power of the diesel engine; ρ t represents the retention ratio of the displaceable data processing load of the base station; C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0153] In one embodiment of the present application, the second acquisition module 303 is specifically configured to: split the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures respectively correspond to an outer layer function, a middle layer function, and an inner layer function;

[0154] Based on the first constraint condition and the second constraint condition, use the particle swarm optimization algorithm to solve the outer layer function, the middle layer function, and the inner layer function with the lowest cost as the goal;

[0155] Among them, the outer layer function, the middle layer function, and the inner layer function are in turn:

[0156] minC I +f O1

[0157]

[0158] min C O

[0159] Among them, f o1 = maxf o2 , f o2 = minC 0

[0160] Among them, C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0161] The base station configuration device provided by the embodiments of the present application can implement the above method embodiments, and its implementation principle and technical effects are similar, and will not be elaborated here.

[0162] Each module in the above base station configuration device can be implemented in whole or in part by software, hardware, and their combinations. The above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0163] In one embodiment, a computer device is provided, and its internal structure diagram can be as Figure 4As shown in the figure. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it realizes a base station configuration method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0164] Those skilled in the art can understand that Figure 4 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0165] In an embodiment of the present application, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented: obtaining the historical data processing load of the base stations in the target area, and obtaining the historical power supply data of the power supply system that powers the base stations in the target area; based on the historical data processing load and the historical power supply data, constructing a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change cool storage system configuration parameters of the target base station, where the target base station is a base station located in the target area; based on the first constraint condition and the second constraint condition, solving a pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cool storage system configuration parameters; setting the power supply system for the target base station according to the power supply system configuration parameters, and setting the phase change cool storage system for the target base station according to the phase change cool storage system configuration parameters.

[0166] In an embodiment of the present application, when the processor executes the computer program, the following steps are also implemented: obtaining the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to different historical moments of the base stations in the target area; where the rigid data processing load is the data load that must be immediately processed by the base station, the displaceable data processing load is the data load sent from the base station to adjacent base stations, and the time-shiftable data processing load is the data load that does not need to be immediately processed by the base station.

[0167] In one embodiment of the present application, when the processor executes the computer program, the following steps are further implemented: obtaining the unit-capacity wind turbines and unit photovoltaic power generation that supply power to the base station at different historical moments in the target area.

[0168] In one embodiment of the present application, the first constraint condition includes:

[0169]

[0170] 0 ≤ ρ t ≤ 1

[0171]

[0172]

[0173]

[0174]

[0175] P t L = P t L1 + P t L2 * + P t L3 *

[0176] Wherein, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load at time i (i ≤ t) transferred to time t for power consumption; T represents the scheduling period; M i-t is a constant; P tL Indicates the data processing load of the base station at time t.

[0177] In one embodiment of the present application, the second constraint condition includes:

[0178]

[0179]

[0180]

[0181]

[0182]

[0183] And τ + T F +1, τ + T F +2, …, τ + T F +n

[0184]

[0185] Wherein, ζ represents the heat generation rate of the data processing load; Indicates the cooling release power of the phase change energy storage cooling system at time t; P t L Indicates the data processing load of the base station at time t; Indicates the ambient temperature; a, b represent the spontaneous heat dissipation coefficients of the base station environment; P t M Indicates the operating power of the heat pump at time t; Indicates the rated power of the heat pump; η M Indicates the electro - cooling conversion efficiency of the heat pump; E t M And Respectively represent the cold storage and rated cold storage capacities of the phase change energy storage cooling system at time t; Indicates the energy storage parameter of the phase change energy storage cooling system at the start time of the preset time period; Indicates the energy storage parameter of the phase change energy storage cooling system at the end time of the preset time period; P t PV Indicates the unit - capacity fan at time t; P t WT Indicates the unit photovoltaic power generation at time t; P t G Indicates the diesel - engine power generation; Indicates the installed capacity of the fan; τ + 1 represents the fault occurrence time; τ + T F Indicates the fault end time; Indicates the installed capacity of the photovoltaic; Indicates the rated power generation of the diesel - engine.

[0186] In one embodiment of the present application, the objective function includes:

[0187]

[0188] Wherein,

[0189]

[0190] Wherein, N M represents the service life of the unit-capacity heat pump; N EM represents the service life of the phase change material in the phase change energy storage system; N WT represents the service life of the fan; N PV represents the service life of the photovoltaic; p M represents the selling price of the unit-capacity heat pump; p EM represents the selling price of the phase change material; p WT represents the selling price of the fan; p PV represents the selling price of the photovoltaic; p E represents the payment price per unit power when transferring the load to the adjacent base station; ψ represents the operating cost per unit power of the diesel engine; represents the installed capacity of the fan; represents the installed capacity of the photovoltaic; represents the rated capacity of the phase change energy storage; represents the heat pump capacity; P t G represents the power generation power of the diesel engine; ρ t represents the retention ratio of the displaceable data processing load of the base station; C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0191] In one embodiment of the present application, when the processor executes the computer program, the following steps are further implemented: splitting the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures respectively correspond to an outer-layer function, a middle-layer function, and an inner-layer function;

[0192] Based on the first constraint condition and the second constraint condition, using the particle swarm optimization algorithm to solve the outer-layer function, the middle-layer function, and the inner-layer function with the lowest cost as the objective;

[0193] Wherein, the outer-layer function, the middle-layer function, and the inner-layer function are in sequence:

[0194] minC I +f O1

[0195]

[0196] min C O

[0197] where f o1 = max f o2 , f o2 = min C 0

[0198] where C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0199] The computer device provided by the embodiment of the present application has the same implementation principle and technical effects as the above method embodiment, which will not be elaborated here.

[0200] In an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: obtaining the historical data processing load of the base stations in the target area, and obtaining the historical power supply data of the power supply system that powers the base stations in the target area; based on the historical data processing load and the historical power supply data, constructing a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change cool storage system configuration parameters of the target base station, where the target base station is a base station located in the target area; based on the first constraint condition and the second constraint condition, solving a pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cool storage system configuration parameters; setting the power supply system for the target base station according to the power supply system configuration parameters, and setting the phase change cool storage system for the target base station according to the phase change cool storage system configuration parameters.

[0201] In an embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented: obtaining the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to the base stations in the target area at different historical times; where the rigid data processing load is the data load that must be processed immediately by the base station, the displaceable data processing load is the data load sent from the base station to the adjacent base stations, and the time-shiftable data processing load is the data load that does not need to be processed immediately by the base station.

[0202] In an embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented: obtaining the unit capacity fan and unit photovoltaic power generation power that supply power to the base stations in the target area at different historical times.

[0203] In an embodiment of the present application, the first constraint condition includes:

[0204]

[0205] 0 ≤ ρ t ≤ 1

[0206]

[0207]

[0208]

[0209]

[0210] P t L = P t L1 + P t L2 * + P t L3 *

[0211] wherein, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load at time i (i ≤ t) shifted to the power consumption at time t; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t.

[0212] In an embodiment of the present application, the second constraint condition includes:

[0213]

[0214]

[0215]

[0216]

[0217]

[0218] and τ + T F +1, τ + T F +2, …, τ + T F +n

[0219]

[0220] where ζ represents the heat generation rate of the data processing load; represents the cooling release power of the phase change energy storage cooling system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro - cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase change energy storage cooling system at time t; represents the energy storage parameter of the phase change energy storage cooling system at the start time of the preset time period; represents the energy storage parameter of the phase change energy storage cooling system at the end time of the preset time period; P t PV represents the fan per unit capacity at time t; P t WT represents the photovoltaic power generation per unit at time t; P t G represents the diesel - generator power generation; represents the installed capacity of the fan; τ + 1 represents the fault occurrence time; τ + T F represents the fault end time; represents the installed capacity of the photovoltaic; represents the rated power generation of the diesel - generator.

[0221] In an embodiment of the present application, the objective function includes:

[0222]

[0223] where,

[0224]

[0225] where N M represents the service life of the heat pump per unit capacity; N EM represents the service life of the phase change material in the phase change energy storage cooling system; NWT Denotes the service life of the fan; N PV Denotes the service life of the PV; p M Denotes the selling price per unit capacity of the heat pump; p EM Denotes the selling price of the phase change material; p WT Denotes the selling price of the fan; p PV Denotes the selling price of the PV; p E Denotes the payment price per unit power when transferring the load to the adjacent base station; ψ denotes the operating cost per unit power of the diesel engine; Denotes the installed capacity of the fan; Denotes the installed capacity of the PV; Denotes the rated capacity of the phase change energy storage; Denotes the capacity of the heat pump; P t G Denotes the power generation power of the diesel engine; ρ t Denotes the retention ratio of the displaceable data processing load of the base station; C I Denotes the annual average investment cost of the base station; C O Denotes the annual operating cost of the base station.

[0226] In an embodiment of the present application, when the computer program is executed by the processor, the following steps are further implemented: splitting the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures respectively correspond to the outer layer function, the middle layer function, and the inner layer function;

[0227] Based on the first constraint condition and the second constraint condition, using the particle swarm optimization algorithm to solve the outer layer function, the middle layer function, and the inner layer function with the lowest cost as the goal;

[0228] Among them, the outer layer function, the middle layer function, and the inner layer function are in turn:

[0229] minC I +f O1

[0230]

[0231] min C O

[0232] Among them, f o1 =maxf o2 ,f o2 =minC 0

[0233] Among them, C I Denotes the annual average investment cost of the base station; C O Denotes the annual operating cost of the base station.

[0234] The computer-readable storage medium provided in this embodiment has the same implementation principle and technical effects as the above method embodiment, which will not be elaborated here.

[0235] In one embodiment of the present application, a computer program product is provided, including a computer program, which when executed by a processor, implements the following steps: obtaining the historical data processing load of base stations in a target area, and obtaining the historical power supply data of the power supply system that powers the base stations in the target area; based on the historical data processing load and the historical power supply data, constructing a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change cooling energy storage system configuration parameters of the target base station, where the target base station is a base station located in the target area; based on the first constraint condition and the second constraint condition, solving a pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cooling energy storage system configuration parameters; setting the power supply system for the target base station according to the power supply system configuration parameters, and setting the phase change cooling energy storage system for the target base station according to the phase change cooling energy storage system configuration parameters.

[0236] In one embodiment of the present application, when the computer program is executed by a processor, it also implements the following steps: obtaining the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to different historical moments of base stations in the target area; where the rigid data processing load is the data load that must be processed immediately by the base station, the displaceable data processing load is the data load sent from the base station to neighboring base stations, and the time-shiftable data processing load is the data load that does not need to be processed immediately by the base station.

[0237] In one embodiment of the present application, when the computer program is executed by a processor, it also implements the following steps: obtaining the unit capacity fan and unit photovoltaic power generation power that supply power to the base stations in the target area at different historical moments.

[0238] In one embodiment of the present application, the first constraint condition includes:

[0239]

[0240] 0 ≤ ρ t ≤ 1

[0241]

[0242]

[0243]

[0244]

[0245] P t L =P t L1+P t L2 *+P t L3 *

[0246] Among them, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load at time i (i ≤ t) transferred to the power consumption at time t; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t.

[0247] In an embodiment of the present application, the second constraint condition includes:

[0248]

[0249]

[0250]

[0251]

[0252]

[0253] and τ + T F +1, τ + T F +2, …, τ + T F +n

[0254]

[0255] Among them, ζ represents the heat generation rate of the data processing load; Represents the cooling power of the phase change energy storage system at time t; P t L Represents the data processing load of the base station at time t; Represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M Represents the operating power of the heat pump at time t; Represents the rated power of the heat pump; η M Represents the electro - cooling conversion efficiency of the heat pump; and Respectively represent the cold storage and rated cold storage capacities of the phase change energy storage system at time t; Represents the energy storage parameter of the phase change energy storage system at the starting moment of the preset time period; Represents the energy storage parameter of the phase change energy storage system at the ending moment of the preset time period; P t PV Represents the fan per unit capacity at time t; P t WT Represents the photovoltaic power generation per unit at time t; P t G Represents the diesel - generator power generation; Represents the installed capacity of the fan; τ + 1 represents the fault occurrence moment; τ + T F Represents the fault ending moment; Represents the installed capacity of the photovoltaic; Represents the rated power generation of the diesel - generator.

[0256] In an embodiment of the present application, the objective function includes:

[0257]

[0258] Among them,

[0259]

[0260] Among them, N M Represents the service life of the heat pump per unit capacity; N EM Represents the service life of the phase change material in the phase change energy storage system; N WT Represents the service life of the fan; N PV Represents the service life of the photovoltaic; p M Represents the selling price of the heat pump per unit capacity; p EM Represents the selling price of the phase change material; p WT Represents the selling price of the fan; p PV Represents the selling price of the photovoltaic; p E Represents the payment price per unit power when transferring the load to the adjacent base station; ψ represents the operating cost per unit power of the diesel - generator; Represents the installed capacity of the fan; represents the photovoltaic installed capacity; represents the rated capacity of the phase change energy storage; represents the heat pump capacity; P t G represents the diesel engine power generation; ρ t represents the retention ratio of the displaceable data processing load of the base station; C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0261] In one embodiment of the present application, when the computer program is executed by the processor, the following steps are further implemented: splitting the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures respectively correspond to the outer-layer function, the middle-layer function, and the inner-layer function;

[0262] Based on the first constraint condition and the second constraint condition, using the particle swarm optimization algorithm to solve the outer-layer function, the middle-layer function, and the inner-layer function with the lowest cost as the goal;

[0263] Among them, the outer-layer function, the middle-layer function, and the inner-layer function are in turn:

[0264] minC I +f O1

[0265]

[0266] min C O

[0267] Among them, f o1 = maxf o2 , f o2 = minC 0

[0268] Among them, C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

[0269] The computer program product provided in this embodiment has the same implementation principle and technical effects as the above method embodiment, and will not be elaborated here.

[0270] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memories can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0271] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0272] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A base station configuration method, characterized in that, The method includes: Obtaining the historical data processing load of the base stations in the target area, and obtaining the historical power supply data of the power supply system that powers the base stations in the target area; Based on the historical data processing load and the historical power supply data, constructing a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change cooling storage system configuration parameters of the target base station, where the target base station is a base station located in the target area; Based on the first constraint condition and the second constraint condition, solving a pre-created objective function with the lowest cost as the goal to obtain the power supply system configuration parameters and the phase change cooling storage system configuration parameters; Setting up a power supply system for the target base station according to the power supply system configuration parameters, and setting up a phase change cooling storage system for the target base station according to the phase change cooling storage system configuration parameters; The obtaining the historical data processing load of the base stations in the target area includes: Obtaining the rigid data processing load, displaceable data processing load, and time-shiftable data processing load corresponding to different historical moments of the base stations in the target area; Among them, the rigid data processing load is the data load that must be processed by the base station immediately, the displaceable data processing load is the data load sent from the base station to the neighboring base stations, and the time-shiftable data processing load is the data load that does not need to be processed by the base station immediately; The first constraint condition includes: P t L2 * = P t L2 ρ t +P t L2 (1 - ρ t )λ t 0 ≤ ρ t ≤ 1 P t L = P t L1 + P t L2 * + P t L3 * Among them, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actually processed displaceable data processing load of the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base stations; P t L3 * represents the actually processed time-shiftable data processing load of the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load transferred from time i≤t to time t for power consumption; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t; The second constraint condition includes: and τ + T F +1, τ + T F +2, …, τ + T F +n Among them, ζ represents the heat generation rate of data processing load; represents the cooling release power of the phase change energy storage cooling system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro-cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase change energy storage cooling system at time t; represents the energy storage parameter of the phase change energy storage cooling system at the starting moment of the preset time period; represents the energy storage parameter of the phase change energy storage cooling system at the ending moment of the preset time period; P t PV represents the fan per unit capacity at time t; P t WT represents the photovoltaic power generation per unit at time t; P t G represents the diesel generator power; represents the installed capacity of the fan; τ + 1 represents the moment of fault occurrence; τ + T F represents the end moment of the fault; represents the installed capacity of the photovoltaic; represents the rated power of the diesel generator; The objective function includes: Among them, Among them, N M represents the service life of the unit-capacity heat pump; N EM represents the service life of the phase change material in the phase change energy storage and cooling system; N WT represents the service life of the fan; N PV represents the service life of the photovoltaic; p M represents the selling price of the unit-capacity heat pump; p EM represents the selling price of the phase change material; p WT represents the selling price of the fan; p PV represents the selling price of the photovoltaic; p E represents the payment price per unit power when transferring the load to the adjacent base station; ψ represents the operating cost per unit power of the diesel engine; represents the installed capacity of the fan; represents the installed capacity of the photovoltaic; represents the rated capacity of the phase change energy storage; represents the capacity of the heat pump; P t G represents the power generation power of the diesel engine; ρ t represents the retention ratio of the displaceable data processing load of the base station; C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station; The solving the pre-created objective function with the lowest cost as the goal based on the first constraint condition and the second constraint condition includes: Splitting the objective function into an outer, middle, and inner three-layer structure, where the outer, middle, and inner three-layer structures respectively correspond to an outer layer function, a middle layer function, and an inner layer function; Based on the first constraint condition and the second constraint condition, using the particle swarm optimization algorithm to solve the outer layer function, the middle layer function, and the inner layer function with the lowest cost as the goal; Among them, the outer layer function, the middle layer function, and the inner layer function are in sequence: minC I +f O1 minC O where, f o1 = max f o2 , f o2 = min C 0 Among them, C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

2. The method according to claim 1, characterized in that The obtaining the historical power supply data of the power supply system that powers the base stations in the target area includes: Obtaining the unit capacity fan and the unit photovoltaic power generation that supply power to the base stations at different historical moments in the target area.

3. The method according to claim 1, wherein The power supply system is a renewable energy power generation system.

4. The method according to claim 1, characterized in that The phase change cooling storage system includes a heat pump, phase change materials, and a fan.

5. The method according to claim 4, wherein The heat pump can consume renewable energy power generation and store it in the phase change materials.

6. A base station configuration device, characterized in that, The device includes: A first acquisition module, configured to obtain the historical data processing load of the base stations in the target area, and obtain the historical power supply data of the power supply system that powers the base stations in the target area; A construction module, configured to construct a first constraint condition for the power supply system configuration parameters of the target base station and a second constraint condition for the phase change cooling storage system configuration parameters of the target base station based on the historical data processing load and the historical power supply data, where the target base station is a base station located in the target area; A second acquisition module, configured to solve a pre-created objective function with the lowest cost as the goal based on the first constraint condition and the second constraint condition, to obtain the power supply system configuration parameters and the phase change cooling energy storage system configuration parameters; A configuration module, configured to set a power supply system for the target base station according to the power supply system configuration parameters, and set a phase change cooling energy storage system for the target base station according to the phase change cooling energy storage system configuration parameters; The first acquisition module is specifically configured to acquire the rigid data processing load, the displaceable data processing load, and the time-shiftable data processing load corresponding to the base station in the target area at different historical moments; wherein, the rigid data processing load is the data load that must be processed by the base station immediately, the displaceable data processing load is the data load sent from the base station to the adjacent base station, and the time-shiftable data processing load is the data load that does not need to be processed by the base station immediately; The first constraint condition includes: P t L2 * = P t L2 ρ t +P t L2 (1 - ρ t )λ t 0 ≤ ρ t ≤ 1 P t L = P t L1 + P t L2 * + P t L3 * Among them, P t L1 represents the rigid data processing load of the base station at time t; P t L2 represents the displaceable data processing load of the base station at time t; P t L3 represents the time-shiftable data processing load of the base station at time t, P t L2 * represents the actual displaceable data processing load processed by the base station at time t; ρ t represents the retention ratio of the displaceable data processing load of the base station; λ t represents the additional power loss rate generated by the displaceable data processing load sent by the base station to the neighboring base station; P t L3 * represents the actual time-shiftable data processing load processed by the base station at time t; P i L3 represents the time-shiftable data processing load of the base station at time i; represents the corresponding load power of the time-shiftable data processing load transferred from time i ≤ t to time t for power consumption; T represents the scheduling period; M i-t is a constant; P t L represents the data processing load of the base station at time t; The second constraint condition includes: and τ + T F +1, τ + T F +2, …, τ + T F +n Among them, ζ represents the heat generation rate of the data processing load; represents the cooling release power of the phase change energy storage cooling system at time t; P t L represents the data processing load of the base station at time t; represents the ambient temperature; a and b represent the spontaneous heat dissipation coefficients of the base station environment; P t M represents the operating power of the heat pump at time t; represents the rated power of the heat pump; η M represents the electro-cooling conversion efficiency of the heat pump; and respectively represent the cold storage and rated cold storage capacities of the phase change energy storage cooling system at time t; represents the energy storage parameter of the phase change energy storage cooling system at the starting moment of the preset time period; represents the energy storage parameter of the phase change energy storage cooling system at the ending moment of the preset time period; P t PV represents the fan per unit capacity at time t; P t WT represents the photovoltaic power generation per unit at time t; P t G represents the diesel generator power; represents the installed capacity of the fan; τ + 1 represents the moment of fault occurrence; τ + T F represents the end moment of the fault; represents the installed capacity of the photovoltaic; represents the rated power of the diesel generator; The objective function includes: Among them, Among them, N M represents the service life of the unit-capacity heat pump; N EM represents the service life of the phase change material in the phase change energy storage cooling system; N WT represents the service life of the fan; N PV represents the service life of the photovoltaic; p M represents the selling price of the unit-capacity heat pump; p EM represents the selling price of the phase change material; p WT represents the selling price of the fan; p PV represents the selling price of the photovoltaic; p E represents the payment price per unit power when transferring the load to the adjacent base station; ψ represents the operating cost per unit power of the diesel engine; represents the installed capacity of the fan; represents the installed capacity of the photovoltaic; represents the rated capacity of the phase change energy storage; represents the heat pump capacity; P t G represents the power generation power of the diesel engine; ρ t represents the retention ratio of the displaceable data processing load of the base station; C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station; The second acquisition module is specifically configured to split the objective function into an outer-middle-inner three-layer structure, where the outer-middle-inner three-layer structure corresponds to an outer-layer function, a middle-layer function, and an inner-layer function respectively; based on the first constraint condition and the second constraint condition, use the particle swarm optimization algorithm to solve the outer-layer function, the middle-layer function, and the inner-layer function with the lowest cost as the goal; wherein, the outer-layer function, the middle-layer function, and the inner-layer function are in sequence: minC I +f O1 minC O where, f o1 = max f o2 , f o2 = min C 0 Among them, C I represents the average annual investment cost of the base station; C O represents the annual operating cost of the base station.

7. The device according to claim 6, characterized in that, The first acquisition module is specifically configured to acquire the unit capacity fan and the unit photovoltaic power generation power for supplying power to the base station in the target area at different historical moments.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 5 are implemented.

Images