Modeling method for carbon emission optimization and regulation of ice storage air conditioning system in integrated energy system
Patent Information
- Application Number
- CN202510516823.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-23
- Publication Date
- 2026-09-04
- Estimated Expiration
- 2045-04-23
AI Technical Summary
[0003]然而,现有技术存在如下问题:(1)现有技术模型中的冰蓄冷空调系统的制冷主机、蓄冰设备运行关键物理特征量和运行时域特征未被考虑,现有冰蓄冷空调系统数学模型的运行工况特性无法合理描述实际工程应用的额定工况特性和变工况特性;(2)现有冰蓄冷空调系统运行技术中不考虑碳成本,基本采用峰谷电价机制设置定时运行策略,忽略能碳协同实际需求,导致降碳效果差;(3)现有冰蓄冷空调系统运行技术中缺乏对网荷互动场景提供策略,网荷互动的调节潜力未被挖掘和释放,导致冰蓄冷空调系统联合供冷模式灵活性调节效益较差,无法实现能碳优化调控的全流程技术方案
[0080]According to the present invention, this invention aims to provide a modeling method for energy and carbon optimization regulation of ice storage air conditioning systems in integrated energy systems. It fully considers the key physical characteristics and operational domain features of the refrigeration unit and ice storage equipment in the ice storage air conditioning system, establishes a mathematical model of the refrigeration unit, ice storage equipment, and their combined cooling mode, and sets up energy and carbon synergistic optimization operation strategies and regulation potential release energy and carbon synergistic optimization operation strategies based on engineering operation requirements. This invention aims to assist in the engineering application and promotion of ice storage air conditioning systems in integrated energy systems and the analysis of their operational characteristics; to solve the technical challenges of model construction for multi-scenario, multi-operating condition, and grid-load interaction regulation of ice storage air conditioning systems; and to provide reference and guidance for the operation optimization regulation management, energy conservation and emission reduction analysis, grid-load interaction regulation potential mining and release, and grid regulation coordination operation analysis of ice storage air conditioning systems in integrated energy systems.
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Abstract
Description
Technical Field
[0001] This invention relates to the field of energy and carbon regulation technology for ice storage air conditioning systems in integrated energy systems, and particularly to a modeling method for energy and carbon optimization regulation of ice storage air conditioning systems in integrated energy systems. Background Technology
[0002] With the continuous growth of energy demand and the increasing severity of environmental problems, seeking efficient and clean energy utilization methods has become a global challenge. Integrated energy systems, as an innovative solution, combine the advantages of different energy forms to achieve efficient energy utilization and optimized allocation, which is of great significance for promoting energy transition and achieving sustainable development. Against this backdrop, research on the operation control strategies and modeling technologies of ice storage air conditioning systems, as a key component of integrated energy systems, is particularly urgent and important. Ice storage air conditioning systems store cooling capacity in the form of ice by operating the chiller during low-electricity-demand periods at night and releasing it during peak daytime periods to meet the building's air conditioning energy needs. This strategy effectively achieves time-based energy transfer in the cooling process, optimizes energy distribution, and reduces costs. Compared with traditional air conditioning systems, ice storage air conditioning systems alleviate the load pressure on the power grid during peak hours by intelligently scheduling the operating time of the chiller units, easing the tight power supply situation and reducing the overall cost of energy consumption. In regions implementing peak-valley electricity pricing policies, ice storage air conditioning system technology effectively reduces daytime electricity load by combining cooling and cold capacity storage during low-electricity-price periods at night with the release of cold capacity during peak daytime load periods.
[0003] However, the existing technology has the following problems: (1) The key physical characteristics and operating domain characteristics of the refrigeration host and ice storage equipment of the ice storage air conditioning system in the existing technology model are not considered. The operating condition characteristics of the existing ice storage air conditioning system mathematical model cannot reasonably describe the rated operating condition characteristics and variable operating condition characteristics of actual engineering applications; (2) The existing ice storage air conditioning system operation technology does not consider carbon costs and basically adopts the peak-valley electricity price mechanism to set the timed operation strategy, ignoring the actual needs of energy and carbon coordination, resulting in poor carbon reduction effect; (3) The existing ice storage air conditioning system operation technology lacks strategies for grid-load interaction scenarios. The adjustment potential of grid-load interaction has not been explored and released, resulting in poor flexibility adjustment efficiency of the ice storage air conditioning system joint cooling mode, and it is impossible to realize the whole process technical solution of energy and carbon optimization control.
[0004] Therefore, in-depth research on the operation control strategies and modeling techniques of ice storage air conditioning systems is crucial for improving system performance, optimizing energy utilization, and reducing environmental impact. Summary of the Invention
[0005] The purpose of this invention is to solve at least one technical problem in the background art and to provide a method for energy and carbon optimization control modeling of ice storage air conditioning system in integrated energy system.
[0006] To achieve the above objectives, this invention provides a modeling method for energy and carbon optimization control of an ice storage air conditioning system in an integrated energy system, comprising:
[0007] Establish mathematical models of the operation modes of the refrigeration unit of the ice storage air conditioning system, including mathematical models of the refrigeration unit of the ice storage air conditioning system in the mode of independent cooling and the mode of independent ice making.
[0008] Establish mathematical models for the operation modes of ice storage equipment in ice storage air conditioning systems, including mathematical models for the ice melting and independent cooling modes of ice storage equipment in ice storage air conditioning systems and mathematical models for the coupling and change relationship between ice storage and ice melting energy in ice storage equipment in ice storage air conditioning systems.
[0009] Based on the mathematical model of the operation mode of the refrigeration unit of the ice storage air conditioning system and the mathematical model of the operation mode of the ice storage equipment of the ice storage air conditioning system, a mathematical model of the combined cooling mode of the refrigeration unit and the ice storage equipment of the ice storage air conditioning system is established.
[0010] A combined cooling mode of the refrigeration unit and ice storage equipment of the ice storage air conditioning system is set up as a mathematical model for the energy and carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system.
[0011] Based on the operation of the combined cooling mode mathematical model of the ice storage air conditioning system refrigeration host and ice storage equipment in the integrated energy system, the integrated energy system ice storage air conditioning system energy-carbon synergistic optimization operation strategy is set for the combined cooling mode mathematical model of the ice storage air conditioning system refrigeration host and ice storage equipment in the integrated energy system to release the regulation potential energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system, thus forming the ice storage air conditioning system in the integrated energy system.
[0012] Input operation and start-up information into the ice storage air conditioning system in the integrated energy system, and output the optimization and control results information of the ice storage air conditioning system in the integrated energy system through the ice storage air conditioning system in the integrated energy system.
[0013] According to one aspect of the present invention, the mathematical model of the ice storage air conditioning system's refrigeration unit providing independent cooling mode is that the refrigeration unit directly provides cooling. The mathematical model of the ice storage air conditioning system's refrigeration unit providing independent cooling mode includes: a variable operating condition characteristic mathematical model and a rated operating condition characteristic mathematical model.
[0014] The mathematical model for the variable operating condition characteristics is expressed as follows:
[0015]
[0016] In the formula: For the cooling unit at all times t The cooling capacity; For the refrigeration unit to be in cooling mode at all times t The power consumption; θ1 and θ2 are the operating condition performance factor parameters of the refrigeration unit when it is running; is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the upper limit of the cooling output of the refrigeration unit during operation; This represents the lower limit of the cooling output of the refrigeration unit during operation; κ Air The tripping factor is set to prevent the refrigeration unit from operating at low load rates; Ω valley This refers to the set of periods of low electricity load.
[0017] The mathematical model for the rated operating condition characteristics is expressed as follows:
[0018]
[0019] In the formula: This represents the cooling capacity supplied by the refrigeration unit at time t. COP is the power consumption of the refrigeration unit at time t in cooling mode. Air The rated energy efficiency coefficient of the refrigeration unit; is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the upper limit of the cooling output of the refrigeration unit during operation; This represents the lower limit of the cooling output of the refrigeration unit during operation; κ Air The tripping factor is set to prevent the refrigeration unit from operating at low load rates; Ω valley This refers to the set of periods of low electricity load.
[0020] The mathematical model for the ice storage air conditioning system's refrigeration unit's independent ice-making mode is that the refrigeration unit directly stores ice. The mathematical model for the ice storage air conditioning system's refrigeration unit's independent ice-making mode includes: a variable operating condition characteristic mathematical model and a rated operating condition characteristic mathematical model.
[0021] The mathematical model expression for the variable operating condition characteristics is as follows:
[0022]
[0023] In the formula: This represents the ice production capacity of the refrigeration unit at time t. This is the upper limit of the cooling output of the refrigeration unit during operation; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the operating status variable of the refrigeration unit at time t+1 when it is in ice-making mode, where the value is 1 when it is running and 0 when it is stopped. θ1 and θ2 are the power consumption of the refrigeration unit at time t in ice-making mode; θ1 and θ2 are the operating performance factor parameters of the refrigeration unit; Ω valley This refers to the set of periods of low electricity load. N represents the start time of the set off-peak electricity load period. Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control;
[0024] The mathematical model expression for the rated operating condition characteristics is as follows:
[0025]
[0026] In the formula: This represents the ice production capacity of the refrigeration unit at time t. This is the upper limit of the cooling output of the refrigeration unit during operation; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped; COP is the power consumption of the refrigeration unit at time t when it is in ice-making mode. Ice,cha The rated energy efficiency coefficient (COP) of the refrigeration unit in ice-making mode; Ω valley This refers to the set of periods of low electricity load. N represents the start time of the set off-peak electricity load period. Δt This refers to the total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control.
[0027] According to one aspect of the present invention, the mathematical model expression for the ice storage equipment of the ice storage air conditioning system in the ice melting and independent cooling mode is as follows:
[0028]
[0029] In the formula: The power consumption at time t when the ice storage equipment is supplied with cooling in a separate mode for ice melting. Rated power supply for ice storage equipment in stand-alone cooling mode during ice melting; The operating status variable at time t when the ice storage equipment is in the ice melting and cooling mode alone, where the value is 1 when the equipment is running and 0 when the equipment is stopped. The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting. The maximum cooling capacity for ice storage equipment in stand-alone cooling mode during ice melting; ξ Ice,dis The melting performance coefficient of ice storage equipment; The rated installed capacity of the ice storage equipment; Ωvalley This refers to the set of periods of low electricity load.
[0030] The mathematical model expression for the coupling relationship between ice storage and ice melting energy in the ice storage equipment of the ice storage air conditioning system is as follows:
[0031]
[0032] In the formula: This represents the amount of cold energy stored by the ice storage device at time t+1. δ represents the amount of cold energy stored in the ice storage device at time t. loss The cold energy dissipation factor of ice storage equipment; This represents the amount of ice produced by the refrigeration unit at time t+1. The cooling capacity at time t+1 when the ice storage equipment is in standby cooling mode for ice melting; η cha The ice storage efficiency of the ice storage equipment; η dis Δt represents the ice melting efficiency of the ice storage equipment; Δt represents the optimized operation control step of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization regulation. This is the lower limit of the cold storage capacity of ice storage equipment; This refers to the upper limit of the cold storage capacity of ice storage equipment; This refers to the amount of cold energy stored at the start of the ice storage equipment's operating cycle. This refers to the amount of cold energy stored by the ice storage equipment at the end of its operating cycle. This is to determine the allowable deviation of the cold storage capacity at the beginning and end of the ice storage equipment's operating cycle, so as to ensure that there is a certain amount of cold storage capacity at the beginning of the next operating cycle. is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the operating status variable at time t when the ice storage equipment is in the independent cooling mode for ice melting. The value is 1 when the equipment is running and 0 when it is stopped.
[0033] According to one aspect of the present invention, the mathematical model of the combined cooling mode of the refrigeration unit and the ice storage equipment of the ice storage air conditioning system includes: a mathematical model of priority cooling of the refrigeration unit of the ice storage air conditioning system, a mathematical model of priority cooling of the ice storage equipment of the ice storage air conditioning system, a mathematical model of proportional cooling of the ice storage air conditioning system, and a mathematical model of flexible optimization of cooling of the ice storage air conditioning system.
[0034] The mathematical model expression for the priority cooling mode of the ice storage air conditioning system's refrigeration unit is as follows:
[0035]
[0036] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Air,priThis is the operating status variable of the refrigeration unit in the priority cooling mode of the refrigeration unit in the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. This represents the cooling capacity supplied by the refrigeration unit at time t. This is the upper limit of the cooling output of the refrigeration unit during operation; The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting.
[0037] The mathematical model expression for the priority cooling mode of the ice storage equipment in the ice storage air conditioning system is as follows:
[0038]
[0039] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Ice,dis,pri This is the operating status variable for the ice storage equipment priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting. The maximum cooling capacity when the ice storage equipment is supplied with cooling in a separate cooling mode for ice melting. This represents the cooling capacity supplied by the refrigeration unit at time t.
[0040] The mathematical model expression for the proportional cooling mode of the ice storage air conditioning system is as follows:
[0041]
[0042] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Equ,pro This is the operating status variable for the proportional cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. τ is the cooling capacity supplied by the refrigeration unit at time t; ratio The ratio coefficient for the cooling load demand borne by the refrigeration unit and the ice storage equipment melting ice to provide cooling in the proportional cooling mode; The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting.
[0043] The mathematical model expression for the flexible optimization of the cooling mode of the ice storage air conditioning system is as follows:
[0044]
[0045] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. FlexTo flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. This represents the cooling capacity supplied by the refrigeration unit at time t. The cooling capacity at time t when the ice storage equipment is in the standby cooling mode for ice melting.
[0046] According to one aspect of the present invention, a carbon-coordinated optimization operation strategy for the ice storage air conditioning system in an integrated energy system is set for the mathematical model of the combined cooling mode of the refrigeration unit and ice storage equipment of the ice storage air conditioning system, including:
[0047] For the mathematical model of the combined cooling mode of the refrigeration unit and ice storage equipment of the ice storage air conditioning system, respectively set up energy economy optimization operation strategy and carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system.
[0048] The optimal economic cost and corresponding carbon emissions under the energy economic optimization operation strategy of the ice storage air conditioning system in the integrated energy system are obtained through the energy economic optimization operation strategy of the ice storage air conditioning system in the integrated energy system. The optimal carbon emissions and corresponding energy economic cost under the strategy are obtained through the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system.
[0049] Based on the data obtained from the energy economy optimization operation strategy and the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the energy and carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set.
[0050] The mathematical model expression for the energy-efficient operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:
[0051]
[0052] In the formula: f enery,eco To optimize the energy economic cost of ice storage air conditioning systems within an integrated energy system during the control cycle under an energy-efficient operation strategy; N Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The time-of-use electricity price for the ice storage air conditioning system at time t; The power consumption of the ice storage air conditioning system in the integrated energy system at time t under the energy economy optimization operation strategy; This represents the power consumption of the refrigeration unit at time t when it is in cooling mode. This represents the power consumption of the refrigeration unit at time t when it is in ice-making mode. The power consumption at time t when the ice storage equipment is in standby cooling mode for ice melting; πAir,pri This is the operating status variable for the refrigeration unit's priority cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Ice,dis,pri This is the operating status variable for the ice storage equipment in the priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Equ,pro This is the operating status variable for proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped;
[0053] The mathematical model expression for the optimized operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:
[0054]
[0055] In the formula: f enery,carb To optimize carbon emissions of ice storage air conditioning systems within integrated energy systems during the control cycle under a carbon emission optimization operation strategy; N Δt η represents the total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization control; trass The overall efficiency of power transmission in the power grid; η gen The overall power generation efficiency of thermal power generating units; ψ carb The carbon emission equivalent factor for standard coal; The power consumption of the ice storage air conditioning system in the integrated energy system at time t under the energy economy optimization operation strategy; This represents the power consumption of the refrigeration unit at time t when it is in cooling mode. This represents the power consumption of the refrigeration unit at time t when it is in ice-making mode. The power consumption at time t when the ice storage equipment is in standby cooling mode for ice melting; π Air,pri This is the operating status variable for the refrigeration unit's priority cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Ice,dis,priThis is the operating status variable for the ice storage equipment in the priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Equ,pro This is the operating status variable for proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped;
[0056] The mathematical model expression for the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:
[0057]
[0058] Where: g eco,carb To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; enery,eco Weighting coefficients for optimizing operational strategies to reduce carbon emissions; ν enery,carb Weighting coefficients for energy-efficient operation strategies; f enery,carb To optimize carbon emissions of ice storage air conditioning systems in integrated energy systems during the control cycle under a carbon emission optimization operation strategy; The optimal value under the optimized operating strategy for carbon emissions; Carbon emissions corresponding to the energy-efficient operation strategy; f enery,eco To optimize the energy economic cost of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-efficient operation strategy; The optimal value under the energy-economic optimization operation strategy; The energy economic cost corresponding to the optimized operation strategy for carbon emissions; N Δt ψ is the total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization control; carb η is the carbon emission equivalent factor for standard coal. trass The overall efficiency of power transmission in the power grid; η gen The overall power generation efficiency of thermal power generating units; The time-of-use electricity price for the ice storage air conditioning system at time t; The power consumption of the ice storage air conditioning system in the integrated energy system at time t under the energy economy optimization operation strategy; This represents the power consumption of the refrigeration unit at time t when it is in cooling mode. This represents the power consumption of the refrigeration unit at time t when it is in ice-making mode. The power consumption at time t when the ice storage equipment is in standby cooling mode for ice melting; π Air,pri This is the operating status variable for the refrigeration unit's priority cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Ice,dis,pri This is the operating status variable for the ice storage equipment in the priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Equ,pro This is the operating status variable for proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where the value is 1 when it is running and 0 when it is stopped.
[0059] According to one aspect of the present invention, the energy-carbon co-optimization operation strategy for the ice storage air conditioning system in the integrated energy system includes: increasing the power regulation potential release energy-carbon co-optimization operation strategy and decreasing the power regulation potential release energy-carbon co-optimization operation strategy.
[0060] The model expressions for the upward adjustment of the power regulation potential release energy carbon co-optimization operation strategy and the downward adjustment of the power regulation potential release energy carbon co-optimization operation strategy are set as follows:
[0061]
[0062] In the formula: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning systems within integrated energy systems by releasing the potential for increased power regulation and optimizing energy and carbon synergy during the regulation cycle under the energy and carbon synergy optimization operation strategy; To optimize the comprehensive energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems by releasing the potential for energy and carbon synergistic optimization of energy and carbon operation under the strategy of reducing power regulation potential; To set state variables for the upward adjustment of the energy release potential of the power regulation and the downward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy, a state variable is set. When the state variable is set to 1, it means that the upward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy is executed. When the state variable is set to 0, it means that the downward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy is executed.
[0063] When the strategy of increasing the power regulation potential release energy and carbon co-optimization is selected, the mathematical model expression of the strategy is as follows:
[0064]
[0065] In the formula: To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems under a strategy of releasing energy and carbon synergistic optimization of power regulation potential; g eco,carb To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; N Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The cooling load demand of the cooling terminal at time t; The cooling load demand of the cold terminal at time t after participating in the power reduction adjustment; To adjust the release amount of the power regulation potential at time t; To adjust the upper limit of the power adjustment potential release at time t; To adjust the lower limit of the power adjustment potential release at time t; Ω up,adj To adjust the set of periods for releasing the potential for increased power regulation;
[0066] When the strategy of reducing power regulation potential to release energy and carbon co-optimization is selected, the mathematical model expression of the strategy is as follows:
[0067]
[0068] In the formula: To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the regulation cycle under a strategy of releasing energy and carbon synergistic optimization of power reduction regulation potential; g eco,carb To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; N Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The cooling load demand of the cooling terminal at time t; The cooling load demand of the cold terminal at time t after participating in the power reduction adjustment; To reduce the release of power regulation potential at time t; To reduce the upper limit of the power regulation potential release at time t; To lower the lower limit of the power regulation potential release at time t; Ω down,adj This refers to the set of periods during which the potential for reduced power regulation is released.
[0069] According to one aspect of the present invention, the operation startup information includes: operating condition performance factor parameters of the refrigeration unit during operation, upper limit of cooling output of the refrigeration unit during operation, lower limit of cooling output of the refrigeration unit during operation, tripping coefficient set to avoid the refrigeration unit operating at low load rate, set of low-load periods, rated energy efficiency coefficient of the refrigeration unit's cooling performance, start time of low-load periods, total number of periods within the operating cycle of energy and carbon optimization control of the ice storage air conditioning system in the integrated energy system, rated energy efficiency coefficient of the refrigeration unit's ice-making performance in ice-making mode, upper limit of cooling capacity of the ice storage equipment in ice-melting standalone cooling mode, ice-melting performance coefficient of the ice storage equipment, rated power supply of the ice storage equipment in ice-melting standalone cooling mode, rated installed capacity of the ice storage equipment, cold dissipation factor of the ice storage equipment, ice storage efficiency of the ice storage equipment, ice-melting efficiency of the ice storage equipment, and optimized operation control step size of energy and carbon optimization control of the ice storage air conditioning system in the integrated energy system. The following parameters are considered: Lower limit of ice storage capacity, upper limit of ice storage capacity, ice storage capacity at the beginning of the operating cycle, ice storage capacity at the end of the operating cycle, allowable deviation of ice storage capacity at the beginning and end of the operating cycle, proportional coefficient of cooling load demand between refrigeration unit cooling and ice storage unit melting and cooling in proportional cooling mode, time-of-use electricity price of ice storage air conditioning system, comprehensive power transmission efficiency of power grid, comprehensive power generation efficiency of thermal power generating units, carbon emission equivalent factor of standard coal, weight coefficient of carbon emission optimization operation strategy, weight coefficient of energy economy optimization operation strategy, upper limit of increased power regulation potential release, lower limit of increased power regulation potential release, set of periods for increased power regulation potential release, upper limit of decreased power regulation potential release, lower limit of decreased power regulation potential release, set of periods for decreased power regulation potential release, and cooling load demand of cooling terminals at various times.
[0070] The optimized control results information of the ice storage air conditioning system in the integrated energy system includes: the cooling capacity of the chiller at each moment, the power consumption of the chiller in cooling mode at each moment, the operating status variables of the chiller in cooling mode at each moment, the ice production capacity of the chiller at each moment, the operating status variables of the chiller in ice-making mode at each moment, the power consumption of the chiller in ice-making mode at each moment, the power consumption of the ice storage equipment in ice-melting cooling mode at each moment, the cooling capacity of the ice storage equipment in ice-melting cooling mode at each moment, the cold storage capacity of the ice storage equipment at each moment, and the chiller... The following parameters are considered: operating state variables at various times during ice-making mode; operating state variables at various times during ice storage equipment melting and cooling mode; cooling capacity at various times during ice storage equipment melting and cooling mode; energy economic cost of the ice storage air conditioning system in the integrated energy system within the optimized control cycle under the energy economic optimization operation strategy; power consumption of the ice storage air conditioning system in the integrated energy system at various times under the energy economic optimization operation strategy; operating state variables of the refrigeration unit prioritizing cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; and the operation state variables of the ice storage equipment prioritizing cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The operational state variables of the ice storage air conditioning system in the integrated energy system include: the operating state variables of the proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; the operating state variables of the flexible optimization cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; the carbon emissions of the ice storage air conditioning system in the integrated energy system during the optimized control period under the carbon emission optimization operation strategy; the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy-carbon synergy optimization operation strategy; the optimal value under the carbon emission optimization operation strategy; and the corresponding carbon emissions under the energy economy optimization operation strategy. The energy economic cost during the optimized control period under the energy economic optimization operation strategy, the optimal value under the energy economic optimization operation strategy, the corresponding energy economic cost under the carbon emission optimization operation strategy, the release of the potential for increased power regulation at each time point, the release of the potential for decreased power regulation at each time point, the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy and carbon synergistic optimization operation strategy of increasing the potential for increased power regulation, and the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy and carbon synergistic optimization operation strategy of decreasing the potential for decreased power regulation.
[0071] To achieve the above objectives, the present invention also provides a modeling system for energy and carbon optimization control of an ice storage air conditioning system in an integrated energy system, comprising:
[0072] The first model construction module establishes a mathematical model of the operation mode of the refrigeration unit of the ice storage air conditioning system, including a mathematical model of the refrigeration unit of the ice storage air conditioning system providing cooling mode alone and a mathematical model of the refrigeration unit of the ice storage air conditioning system making ice mode alone.
[0073] The second model construction module establishes a mathematical model of the operation mode of ice storage equipment in ice storage air conditioning system, including a mathematical model of the ice storage equipment of ice storage air conditioning system ice melting and independent cooling mode, and a mathematical model of the coupling change relationship between ice storage and ice melting energy of ice storage equipment in ice storage air conditioning system.
[0074] The third model construction module establishes a mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration host and ice storage equipment, based on the mathematical model of the ice storage air conditioning system's refrigeration host and ice storage equipment's operation mode.
[0075] The first operation strategy setting module sets the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration host and ice storage equipment.
[0076] The second operation strategy setting module, based on the operation of the combined cooling mode mathematical model of the ice storage air conditioning system chiller and ice storage equipment in the integrated energy system with the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system, sets the adjustment potential release energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system for the combined cooling mode mathematical model of the ice storage air conditioning system chiller and ice storage equipment, thus forming the ice storage air conditioning system in the integrated energy system.
[0077] The control result output module inputs operation start-up information to the ice storage air conditioning system in the integrated energy system, and outputs the optimized control result information of the ice storage air conditioning system in the integrated energy system through the ice storage air conditioning system in the integrated energy system.
[0078] To achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system as described above.
[0079] To achieve the above objectives, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy and carbon optimization control modeling method for an ice storage air conditioning system in an integrated energy system as described above.
[0080] According to the present invention, this invention aims to provide a modeling method for energy and carbon optimization regulation of ice storage air conditioning systems in integrated energy systems. It fully considers the key physical characteristics and operational domain features of the refrigeration unit and ice storage equipment in the ice storage air conditioning system, establishes a mathematical model of the refrigeration unit, ice storage equipment, and their combined cooling mode, and sets up energy and carbon synergistic optimization operation strategies and regulation potential release energy and carbon synergistic optimization operation strategies based on engineering operation requirements. This invention aims to assist in the engineering application and promotion of ice storage air conditioning systems in integrated energy systems and the analysis of their operational characteristics; to solve the technical challenges of model construction for multi-scenario, multi-operating condition, and grid-load interaction regulation of ice storage air conditioning systems; and to provide reference and guidance for the operation optimization regulation management, energy conservation and emission reduction analysis, grid-load interaction regulation potential mining and release, and grid regulation coordination operation analysis of ice storage air conditioning systems in integrated energy systems.
[0081] According to the present invention, the key physical characteristics and operational domain characteristics of the refrigeration unit and ice storage equipment of the ice storage air conditioning system are fully considered. A more refined mathematical model of the refrigeration unit, ice storage equipment, and their combined cooling mode of the ice storage air conditioning system is established, which is helpful for the refined analysis of the real-time characteristics and real-time status of the ice storage air conditioning system and its engineering application promotion. Based on the actual needs of cost reduction and carbon reduction in engineering applications, the present invention comprehensively sets up an energy-carbon synergistic optimization operation strategy and a regulation potential release energy-carbon synergistic optimization operation strategy, effectively realizing the time transfer of energy consumption in the cooling process, optimizing energy supply distribution, and achieving grid-load interaction while reducing energy operating costs and carbon emissions. The present invention comprehensively considers the rated operating condition characteristics and variable operating condition characteristics of the ice storage air conditioning system. This invention flexibly provides mathematical models and multi-scenario selection schemes for the combined cooling mode of refrigeration units and ice storage equipment. It also offers energy and carbon synergistic optimization operation strategies to release the regulation potential of grid-load interaction, improving the operational flexibility and overall efficiency of integrated energy systems. This plays a positive role in promoting sustainable energy use and reducing environmental impact. By constructing a refined multi-scenario operational model and energy and carbon optimization control strategy for ice storage air conditioning systems within integrated energy systems, this invention achieves a complete process solution encompassing data input, model construction and calculation, scenario setting selection, operational optimization control, and output of optimization control results. This can provide reference and guidance for the operational optimization control management, energy conservation and emission reduction analysis, grid-load interaction regulation potential mining and release, and participation in grid regulation and coordination analysis of ice storage air conditioning systems within integrated energy systems. Attached Figure Description
[0082] Figure 1 The flowchart illustrates a carbon optimization and control modeling method for an ice storage air conditioning system in an integrated energy system according to an embodiment of the present invention. Detailed Implementation
[0083] The invention will now be discussed with reference to exemplary embodiments. It should be understood that the described embodiments are merely intended to enable those skilled in the art to better understand and thus implement the invention, and are not intended to imply any limitation on the scope of the invention.
[0084] As used herein, the term "comprising" and its variations are to be interpreted as open-ended terms meaning "including but not limited to". The term "based on" is to be interpreted as "at least partially based on". The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment".
[0085] Figure 1 This is a schematic flowchart illustrating a carbon optimization and control modeling method for an ice storage air conditioning system in an integrated energy system according to an embodiment of the present invention. Figure 1 As shown in this embodiment, the energy and carbon optimization control modeling method for ice storage air conditioning systems in integrated energy systems includes:
[0086] Establish mathematical models of the operation modes of the refrigeration unit of the ice storage air conditioning system, including mathematical models of the refrigeration unit of the ice storage air conditioning system in the mode of independent cooling and the mode of independent ice making.
[0087] Establish mathematical models for the operation modes of ice storage equipment in ice storage air conditioning systems, including mathematical models for the ice melting and independent cooling modes of ice storage equipment in ice storage air conditioning systems and mathematical models for the coupling and change relationship between ice storage and ice melting energy in ice storage equipment in ice storage air conditioning systems.
[0088] Based on the mathematical models of the operation mode of the refrigeration unit and the operation mode of the ice storage equipment in the ice storage air conditioning system, a mathematical model of the combined cooling mode of the refrigeration unit and the ice storage equipment in the ice storage air conditioning system is established.
[0089] To set up an energy-carbon synergistic optimization operation strategy for the ice storage air conditioning system in the integrated energy system for the combined cooling mode of the refrigeration unit and ice storage equipment of the ice storage air conditioning system;
[0090] Based on the mathematical model of the combined cooling mode of the ice storage air conditioning system chiller and ice storage equipment operating under the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the mathematical model of the combined cooling mode of the ice storage air conditioning system chiller and ice storage equipment in the integrated energy system is set to release the regulation potential of the ice storage air conditioning system in the integrated energy system and form the ice storage air conditioning system in the integrated energy system.
[0091] Input operation and start-up information into the ice storage air conditioning system in the integrated energy system, and output the optimization and control results information of the ice storage air conditioning system in the integrated energy system through the ice storage air conditioning system in the integrated energy system.
[0092] Furthermore, according to one embodiment of the present invention, the mathematical model of the ice storage air conditioning system's refrigeration unit providing independent cooling mode is that the refrigeration unit directly provides cooling. The mathematical model of the ice storage air conditioning system's refrigeration unit providing independent cooling mode includes: a variable operating condition characteristic mathematical model and a rated operating condition characteristic mathematical model.
[0093] The mathematical model for variable operating condition characteristics is expressed as follows:
[0094]
[0095] In the formula: This represents the cooling capacity supplied by the refrigeration unit at time t. θ1 and θ2 are the power consumption of the refrigeration unit at time t in cooling mode; θ1 and θ2 are the operating condition performance factor parameters of the refrigeration unit. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the upper limit of the cooling output of the refrigeration unit during operation; This represents the lower limit of the cooling output of the refrigeration unit during operation; κ Air The tripping factor is set to prevent the refrigeration unit from operating at low load rates; Ω valley This refers to the set of periods of low electricity load.
[0096] When considering only the refrigeration unit operating under rated conditions for cooling alone, the simplified mathematical model of the rated operating condition characteristics of the refrigeration unit for cooling alone is expressed as follows:
[0097]
[0098] In the formula: This represents the cooling capacity supplied by the refrigeration unit at time t. COP is the power consumption of the refrigeration unit at time t in cooling mode. Air The rated energy efficiency coefficient of the refrigeration unit; is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the upper limit of the cooling output of the refrigeration unit during operation; This represents the lower limit of the cooling output of the refrigeration unit during operation; κ Air The tripping factor is set to prevent the refrigeration unit from operating at low load rates; Ω valley This refers to the set of periods of low electricity load.
[0099] The mathematical model for the ice storage air conditioning system's refrigeration unit's independent ice-making mode is that the refrigeration unit directly stores ice. The refrigeration unit operates at its maximum cooling output power during periods of low power load to make ice, and the ice-making process is required to be continuous.
[0100] The mathematical model for the stand-alone ice-making mode of the refrigeration unit of the ice storage air conditioning system includes: a mathematical model of variable operating conditions and a mathematical model of rated operating conditions.
[0101] The mathematical model expression for the variable operating condition characteristic is as follows:
[0102]
[0103] In the formula: This represents the amount of ice produced by the refrigeration unit at time t. This is the upper limit of the cooling output of the refrigeration unit during operation; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the operating status variable of the refrigeration unit at time t+1 when it is in ice-making mode, where the value is 1 when it is running and 0 when it is stopped. θ1 and θ2 are the power consumption of the refrigeration unit at time t in ice-making mode; θ1 and θ2 are the operating performance factor parameters of the refrigeration unit; Ω valley This is a set of periods of low electricity load. N represents the start time of the set off-peak electricity load period. Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control;
[0104] When considering only the refrigeration unit operating under rated conditions for ice making, the simplified rated operating condition mathematical model expression for the refrigeration unit operating alone for ice making is as follows:
[0105]
[0106] In the formula: This represents the amount of ice produced by the refrigeration unit at time t. This is the upper limit of the cooling output of the refrigeration unit during operation; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped; COP is the power consumption of the refrigeration unit at time t when it is in ice-making mode. Ice,cha The rated energy efficiency coefficient (COP) of the refrigeration unit in ice-making mode; Ω valley This refers to the set of periods of low electricity load. N represents the start time of the set off-peak electricity load period. Δt This refers to the total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control.
[0107] Furthermore, according to one embodiment of the present invention, the ice storage air conditioning system's ice storage device provides independent cooling through ice melting, with the ice storage device consuming a small amount of electrical energy for this purpose; the mathematical model expression for the ice storage device's independent cooling through ice melting mode is as follows:
[0108]
[0109] In the formula: The power consumption at time t when the ice storage equipment is supplied with cooling in a separate mode for ice melting. Rated power supply for ice storage equipment in stand-alone cooling mode during ice melting; The operating status variable at time t when the ice storage equipment is in the ice melting and cooling mode alone, where the value is 1 when the equipment is running and 0 when the equipment is stopped. The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting. The maximum cooling capacity for ice storage equipment in stand-alone cooling mode during ice melting; ξ Ice,dis The melting performance coefficient of ice storage equipment; The rated installed capacity of the ice storage equipment; Ω valley This refers to the set of periods of low electricity load.
[0110] The mathematical model expression for the coupling relationship between ice storage and ice melting energy in an ice storage air conditioning system is as follows:
[0111]
[0112] In the formula: This represents the amount of cold energy stored by the ice storage device at time t+1. δ represents the amount of cold energy stored in the ice storage device at time t; loss The cold energy dissipation factor of ice storage equipment; This represents the amount of ice produced by the refrigeration unit at time t+1. The cooling capacity at time t+1 when the ice storage equipment is in standby cooling mode for ice melting; η cha The ice storage efficiency of the ice storage equipment; η dis Δt represents the ice melting efficiency of the ice storage equipment; Δt represents the optimized operation control step of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization regulation. This is the lower limit of the cold storage capacity of ice storage equipment; This refers to the upper limit of the cold storage capacity of ice storage equipment; This refers to the amount of cold energy stored at the start of the ice storage equipment's operating cycle. This refers to the amount of cold energy stored by the ice storage equipment at the end of its operating cycle. This is to determine the allowable deviation of the cold storage capacity at the beginning and end of the ice storage equipment's operating cycle, so as to ensure that there is a certain amount of cold storage capacity at the beginning of the next operating cycle. is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the operating status variable at time t when the ice storage equipment is in the independent cooling mode for ice melting. The value is 1 when the equipment is running and 0 when it is stopped.
[0113] Furthermore, according to one embodiment of the present invention, in the combined cooling mode of the ice storage air conditioning system's refrigeration unit and ice storage equipment, the refrigeration unit and ice storage equipment work together, possessing dual cooling functions of refrigeration and ice melting. Depending on the needs, there are four combined cooling modes: refrigeration unit-priority cooling, ice storage equipment-priority cooling, proportional cooling, and flexible optimized cooling. Therefore, the mathematical model for the combined cooling mode of the ice storage air conditioning system's refrigeration unit and ice storage equipment includes: a mathematical model for refrigeration unit-priority cooling, a mathematical model for ice storage equipment-priority cooling, a mathematical model for proportional cooling, and a mathematical model for flexible optimized cooling.
[0114] The mathematical model expression for the priority cooling mode of the refrigeration unit in an ice storage air conditioning system is as follows:
[0115]
[0116] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Air,pri This is the operating status variable of the refrigeration unit in the priority cooling mode of the refrigeration unit in the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. This represents the cooling capacity supplied by the refrigeration unit at time t. This is the upper limit of the cooling output of the refrigeration unit during operation; The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting.
[0117] The mathematical model expression for the priority cooling mode of the ice storage equipment in the ice storage air conditioning system is as follows:
[0118]
[0119] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Ice,dis,pri This is the operating status variable for the ice storage equipment priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting. The maximum cooling capacity when the ice storage equipment is supplied with cooling in a separate cooling mode for ice melting. This represents the cooling capacity supplied by the refrigeration unit at time t.
[0120] The mathematical model expression for the proportional cooling mode of an ice storage air conditioning system is as follows:
[0121]
[0122] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Equ,pro This is the operating status variable for the proportional cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. τ is the cooling capacity supplied by the refrigeration unit at time t; ratio The ratio coefficient for the cooling load demand borne by the refrigeration unit and the ice storage equipment melting ice to provide cooling in the proportional cooling mode; The cooling capacity at time t when the ice storage equipment is in a separate cooling mode for ice melting.
[0123] The mathematical model expression for the flexible optimization of the cooling mode of the ice storage air conditioning system is as follows:
[0124]
[0125] In the formula: π represents the cooling load demand of the refrigerated terminal at time t. Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. This represents the cooling capacity supplied by the refrigeration unit at time t. The cooling capacity at time t when the ice storage equipment is in the standby cooling mode for ice melting.
[0126] Furthermore, according to one embodiment of the present invention, a carbon-coordinated optimization operation strategy for the ice storage air conditioning system in a comprehensive energy system is set for the mathematical model of the combined cooling mode of the refrigeration unit and ice storage equipment of the ice storage air conditioning system, including:
[0127] For the mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration unit and ice storage equipment, respectively set up energy economy optimization operation strategy and carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system.
[0128] The optimal economic cost and corresponding carbon emissions under the energy economic optimization operation strategy of the ice storage air conditioning system in the integrated energy system are obtained through the energy economic optimization operation strategy of the ice storage air conditioning system in the integrated energy system. The optimal carbon emissions and corresponding energy economic cost under the strategy are obtained through the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system.
[0129] Based on the data obtained from the energy economy optimization operation strategy and the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the energy and carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set.
[0130] The mathematical model expression for the energy-efficient operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:
[0131]
[0132] In the formula: f enery,eco To optimize the energy economic cost of ice storage air conditioning systems within an integrated energy system during the control cycle under an energy-efficient operation strategy; N Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The time-of-use electricity price for the ice storage air conditioning system at time t; The power consumption of the ice storage air conditioning system in the integrated energy system at time t under the energy economy optimization operation strategy; This represents the power consumption of the refrigeration unit at time t when it is in cooling mode. This represents the power consumption of the refrigeration unit at time t when it is in ice-making mode. The power consumption at time t when the ice storage equipment is in standby cooling mode for ice melting; π Air,pri This is the operating status variable for the refrigeration unit's priority cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Ice,dis,pri This is the operating status variable for the ice storage equipment in the priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Equ,pro This is the operating status variable for proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped;
[0133] The mathematical model expression for the optimized operation strategy of ice storage air conditioning system in integrated energy system is as follows:
[0134]
[0135] In the formula: f enery,carb To optimize carbon emissions of ice storage air conditioning systems within integrated energy systems during the control cycle under a carbon emission optimization operation strategy; N Δt η represents the total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization control; trass η represents the overall efficiency of power transmission in the power grid. gen The overall power generation efficiency of thermal power generating units; ψ carb The carbon emission equivalent factor for standard coal; The power consumption of the ice storage air conditioning system in the integrated energy system at time t under the energy economy optimization operation strategy; This represents the power consumption of the refrigeration unit at time t when it is in cooling mode. This represents the power consumption of the refrigeration unit at time t when it is in ice-making mode. The power consumption at time t when the ice storage equipment is in standby cooling mode for ice melting; π Air,pri This is the operating status variable for the refrigeration unit's priority cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Ice,dis,pri This is the operating status variable for the ice storage equipment in the priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Equ,pro This is the operating status variable for proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where it takes the value 1 when it is running and 0 when it is stopped;
[0136] The mathematical model expression for the energy-carbon synergistic optimization operation strategy of ice storage air conditioning system in integrated energy system is as follows:
[0137]
[0138] Where: g eco,carb To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; enery,eco Weighting coefficients for optimizing operational strategies to reduce carbon emissions; ν enery,carbWeighting coefficients for energy-efficient operation strategies; f enery,carb To optimize carbon emissions of ice storage air conditioning systems in integrated energy systems during the control cycle under a carbon emission optimization operation strategy; The optimal value under the optimized operating strategy for carbon emissions; Carbon emissions corresponding to the energy-efficient operation strategy; f enery,eco To optimize the energy economic cost of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-efficient operation strategy; The optimal value under the energy-economic optimization operation strategy; The energy economic cost corresponding to the optimized operation strategy for carbon emissions; N Δt ψ is the total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization control; carb η is the carbon emission equivalent factor for standard coal. trass η represents the overall efficiency of power transmission in the power grid. gen The overall power generation efficiency of thermal power generating units; The time-of-use electricity price for the ice storage air conditioning system at time t; The power consumption of the ice storage air conditioning system in the integrated energy system at time t under the energy economy optimization operation strategy; This represents the power consumption of the refrigeration unit at time t when it is in cooling mode. This represents the power consumption of the refrigeration unit at time t when it is in ice-making mode. The power consumption at time t when the ice storage equipment is in standby cooling mode for ice melting; π Air,pri This is the operating status variable for the refrigeration unit's priority cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Ice,dis,pri This is the operating status variable for the ice storage equipment in the priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Equ,pro This is the operating status variable for proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The value is 1 when this mode is selected, and 0 when this mode is not selected; π Flex To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. is the operating state variable of the refrigeration unit at time t when it is in cooling mode, where it takes the value 1 when it is running and 0 when it is stopped; This is the operating state variable of the refrigeration unit at time t when it is in ice-making mode, where the value is 1 when it is running and 0 when it is stopped.
[0139] Furthermore, according to one embodiment of the present invention, the energy-carbon co-optimization operation strategy for the regulation potential release of the ice storage air conditioning system in the integrated energy system includes: increasing the power regulation potential release of the energy-carbon co-optimization operation strategy and decreasing the power regulation potential release of the energy-carbon co-optimization operation strategy.
[0140] The model expressions for the upward adjustment of the energy release carbon co-optimization operation strategy for increasing power regulation potential and the downward adjustment of the energy release carbon co-optimization operation strategy for decreasing power regulation potential are set as follows:
[0141]
[0142] In the formula: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning systems within integrated energy systems by releasing the potential for increased power regulation and optimizing energy and carbon synergy during the regulation cycle under the energy and carbon synergy optimization operation strategy; To optimize the comprehensive energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems by releasing the potential for energy and carbon synergistic optimization of energy and carbon operation under the strategy of reducing power regulation potential; To set state variables for the upward adjustment of the energy release potential of the power regulation and the downward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy, a state variable is set. When the state variable is set to 1, it means that the upward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy is executed. When the state variable is set to 0, it means that the downward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy is executed.
[0143] When the strategy of increasing the power regulation potential release energy and carbon co-optimization is selected, the mathematical model expression of the strategy is as follows:
[0144]
[0145] In the formula: To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems under a strategy of releasing energy and carbon synergistic optimization of power regulation potential; g eco,carb To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; N Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The cooling load demand of the cooling terminal at time t; The cooling load demand of the cold terminal at time t after participating in the power reduction adjustment; To adjust the release amount of the power regulation potential at time t; To adjust the upper limit of the power adjustment potential release at time t; To adjust the lower limit of the power adjustment potential release at time t; Ωup,adj To adjust the set of periods for releasing the potential for increased power regulation;
[0146] When the strategy of reducing power regulation potential to release energy and carbon co-optimization is selected, the mathematical model expression of the strategy is as follows:
[0147]
[0148] In the formula: To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the regulation cycle under a strategy of releasing energy and carbon synergistic optimization of power reduction regulation potential; g eco,carb To optimize the overall energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; N Δt The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The cooling load demand of the cooling terminal at time t; The cooling load demand of the cold terminal at time t after participating in the power reduction adjustment; To reduce the release of power regulation potential at time t; To reduce the upper limit of the power regulation potential release at time t; To lower the lower limit of the power regulation potential release at time t; Ω down,adj This refers to the set of periods during which the potential for reduced power regulation is released.
[0149] Furthermore, according to one embodiment of the present invention, the operation startup information includes: operating condition performance factor parameters of the refrigeration unit during operation, upper limit of cooling output of the refrigeration unit during operation, lower limit of cooling output of the refrigeration unit during operation, tripping coefficient set to avoid the refrigeration unit operating at low load rate, set of low-load periods of electricity, rated energy efficiency coefficient of the refrigeration unit's cooling performance, start time of low-load periods of electricity, total number of periods within the operating cycle of energy and carbon optimization control of the ice storage air conditioning system in the integrated energy system, rated energy efficiency coefficient of the refrigeration unit's ice-making performance in ice-making mode, upper limit of cooling capacity of the ice storage equipment in ice-melting standalone cooling mode, ice-melting performance coefficient of the ice storage equipment, rated power supply of the ice storage equipment in ice-melting standalone cooling mode, rated installed capacity of the ice storage equipment, cold dissipation factor of the ice storage equipment, ice storage efficiency of the ice storage equipment, ice-melting efficiency of the ice storage equipment, and optimized operation control of the ice storage air conditioning system in the integrated energy system. The following parameters are considered: step length, lower limit of ice storage capacity, upper limit of ice storage capacity, ice storage capacity at the beginning of the operating cycle, ice storage capacity at the end of the operating cycle, allowable deviation of ice storage capacity at the beginning and end of the operating cycle, proportional coefficient of cooling load demand between refrigeration unit and ice storage unit in proportional cooling mode, time-of-use electricity price of ice storage air conditioning system, comprehensive power transmission efficiency of power grid, comprehensive power generation efficiency of thermal power generating unit, carbon emission equivalent factor of standard coal, weight coefficient of carbon emission optimization operation strategy, weight coefficient of energy economy optimization operation strategy, upper limit of increased power regulation potential release, lower limit of increased power regulation potential release, set of periods for increased power regulation potential release, upper limit of decreased power regulation potential release, lower limit of decreased power regulation potential release, set of periods for decreased power regulation potential release, and cooling load demand of cooling terminals at various times.
[0150] The optimized control results information of the ice storage air conditioning system in the integrated energy system includes: the cooling capacity of the chiller at each time, the power consumption of the chiller in cooling mode at each time, the operating status variables of the chiller in cooling mode at each time, the ice production capacity of the chiller at each time, the operating status variables of the chiller in ice-making mode at each time, the power consumption of the chiller in ice-making mode at each time, the power consumption of the ice storage equipment in ice-melting standalone cooling mode at each time, the cooling capacity of the ice storage equipment in ice-melting standalone cooling mode at each time, the cooling capacity of the ice storage equipment at each time, and the power consumption of the chiller in ice-melting standalone cooling mode at each time. The following parameters are considered: operating state variables at various times during ice mode; operating state variables at various times during ice storage equipment melting and independent cooling mode; cooling capacity at various times during ice storage equipment melting and independent cooling mode; energy economic cost of the ice storage air conditioning system in the integrated energy system within the optimized control cycle under the energy economic optimization operation strategy; power consumption of the ice storage air conditioning system in the integrated energy system at various times under the energy economic optimization operation strategy; operating state variables of the refrigeration unit prioritizing cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; and ice storage equipment prioritizing cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The operational state variables of the mode, the operational state variables of the proportional cooling mode under the combined cooling mode of the chiller and ice storage equipment, the operational state variables of the flexible optimization cooling mode under the combined cooling mode of the chiller and ice storage equipment, the carbon emissions of the ice storage air conditioning system in the integrated energy system under the carbon emission optimization operation strategy during the optimized control period, the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system under the energy and carbon synergy optimization operation strategy during the optimized control period, the optimal value under the carbon emission optimization operation strategy, the carbon emissions corresponding to the energy economy optimization operation strategy, and the ice storage air conditioning system in the integrated energy system under the carbon emission optimization operation strategy. The energy economic cost during the optimized control period under the energy economic optimization operation strategy, the optimal value under the energy economic optimization operation strategy, the corresponding energy economic cost under the carbon emission optimization operation strategy, the release of the potential for increased power regulation at each time point, the release of the potential for decreased power regulation at each time point, the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy and carbon synergistic optimization operation strategy of increasing the potential for increased power regulation, and the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy and carbon synergistic optimization operation strategy of decreasing the potential for decreased power regulation.
[0151] According to the above-described scheme of the present invention, the present invention fully considers the key physical characteristics and operational domain characteristics of the refrigeration unit and ice storage equipment of the ice storage air conditioning system, and establishes a more refined mathematical model of the refrigeration unit, ice storage equipment and their combined cooling mode of the ice storage air conditioning system. This is helpful for the refined analysis of the real-time characteristics and real-time status of the ice storage air conditioning system and its engineering application promotion. Based on the actual needs of cost reduction and carbon reduction in engineering applications, the present invention comprehensively sets up an energy-carbon synergistic optimization operation strategy and a regulation potential release energy-carbon synergistic optimization operation strategy, effectively realizing the time transfer of energy consumption in the cooling process, optimizing energy supply distribution, and achieving grid-load interaction while reducing energy operating costs and carbon emissions. The present invention comprehensively considers the rated operating condition characteristics and variable operating condition characteristics of the ice storage air conditioning system. This invention flexibly provides mathematical models and multi-scenario selection schemes for the combined cooling mode of refrigeration units and ice storage equipment. It also offers energy and carbon synergistic optimization operation strategies to release the regulation potential of grid-load interaction, improving the operational flexibility and overall efficiency of integrated energy systems. This plays a positive role in promoting sustainable energy use and reducing environmental impact. By constructing a refined multi-scenario model and energy and carbon optimization control strategy for ice storage air conditioning systems in integrated energy systems, this invention achieves a complete process solution encompassing data input, model construction and calculation, scenario setting selection, operational optimization control, and output of optimization control results. This can provide reference and guidance for the operational optimization control management, energy conservation and emission reduction analysis, grid-load interaction regulation potential mining and release, and participation in grid regulation and coordination analysis of ice storage air conditioning systems in integrated energy systems.
[0152] Furthermore, to achieve the above objectives, the present invention also provides an energy and carbon optimization control modeling system for an ice storage air conditioning system in an integrated energy system, comprising:
[0153] The first model construction module establishes a mathematical model of the operation mode of the refrigeration unit of the ice storage air conditioning system, including a mathematical model of the refrigeration unit of the ice storage air conditioning system providing cooling mode alone and a mathematical model of the refrigeration unit of the ice storage air conditioning system making ice mode alone.
[0154] The second model construction module establishes a mathematical model of the operation mode of ice storage equipment in ice storage air conditioning system, including a mathematical model of the ice storage equipment of ice storage air conditioning system ice melting and independent cooling mode, and a mathematical model of the coupling change relationship between ice storage and ice melting energy of ice storage equipment in ice storage air conditioning system.
[0155] The third model construction module establishes a mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration host and ice storage equipment, based on the mathematical model of the ice storage air conditioning system's refrigeration host and ice storage equipment's operation mode.
[0156] The first operation strategy setting module sets the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration host and ice storage equipment.
[0157] The second operation strategy setting module, based on the operation of the combined cooling mode mathematical model of the ice storage air conditioning system chiller and ice storage equipment in the integrated energy system with the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system, sets the adjustment potential release energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system for the combined cooling mode mathematical model of the ice storage air conditioning system chiller and ice storage equipment, thus forming the ice storage air conditioning system in the integrated energy system.
[0158] The control result output module inputs operation start-up information to the ice storage air conditioning system in the integrated energy system, and outputs the optimized control result information of the ice storage air conditioning system in the integrated energy system through the ice storage air conditioning system in the integrated energy system.
[0159] The energy and carbon optimization control modeling system for ice storage air conditioning system in the above-mentioned integrated energy system according to the present invention can realize the energy and carbon optimization control modeling method for ice storage air conditioning system in the above-mentioned integrated energy system. The specific process steps are as described above and will not be repeated here.
[0160] Furthermore, to achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system as described above.
[0161] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy and carbon optimization control modeling method for an ice storage air conditioning system in an integrated energy system as described above.
[0162] Those skilled in the art will recognize that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.
[0163] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and equipment can be referred to the corresponding process in the foregoing method implementation, and will not be repeated here.
[0164] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.
[0165] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the objectives of the embodiments of the present invention, depending on actual needs.
[0166] In addition, the functional modules in the embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.
[0167] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the energy-saving signal transmission / reception methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.
[0168] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in this application.
[0169] It should be understood that the sequence number of each step in the invention and its embodiments does not absolutely imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Claims
1. A modeling method for energy and carbon optimization control of ice storage air conditioning systems in integrated energy systems, characterized in that, include: Establish mathematical models of the operation modes of the refrigeration unit of the ice storage air conditioning system, including mathematical models of the refrigeration unit of the ice storage air conditioning system in the mode of independent cooling and the mode of independent ice making. Establish mathematical models for the operation modes of ice storage equipment in ice storage air conditioning systems, including mathematical models for the ice melting and independent cooling modes of ice storage equipment in ice storage air conditioning systems and mathematical models for the coupling and change relationship between ice storage and ice melting energy in ice storage equipment in ice storage air conditioning systems. Based on the mathematical model of the operation mode of the refrigeration unit of the ice storage air conditioning system and the mathematical model of the operation mode of the ice storage equipment of the ice storage air conditioning system, a mathematical model of the combined cooling mode of the refrigeration unit and the ice storage equipment of the ice storage air conditioning system is established. A combined cooling mode of the refrigeration unit and ice storage equipment of the ice storage air conditioning system is set up as a mathematical model for the energy and carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system. Based on the operation of the combined cooling mode mathematical model of the ice storage air conditioning system refrigeration host and ice storage equipment in the integrated energy system, the integrated energy system ice storage air conditioning system energy-carbon synergistic optimization operation strategy is set for the combined cooling mode mathematical model of the ice storage air conditioning system refrigeration host and ice storage equipment in the integrated energy system to release the regulation potential energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system, thus forming the ice storage air conditioning system in the integrated energy system. Input operation and start-up information into the ice storage air conditioning system in the integrated energy system, and output the optimization and control results information of the ice storage air conditioning system in the integrated energy system through the ice storage air conditioning system in the integrated energy system; The mathematical model expression for the ice storage air conditioning system's ice storage equipment's independent cooling mode is as follows: ; In the formula: When the ice storage equipment is in a separate cooling mode for ice melting, it is always Power consumption; Rated power supply for ice storage equipment in stand-alone cooling mode during ice melting; When the ice storage equipment is in a separate cooling mode for ice melting, it is always The running status variable, which takes the value 1 when running and 0 when stopped; When the ice storage equipment is in a separate cooling mode for ice melting, it is always Cooling capacity; The maximum cooling capacity when the ice storage equipment is supplied with cooling in a separate cooling mode for ice melting. The melting performance coefficient of ice storage equipment; This refers to the rated installed capacity of the ice storage equipment; This refers to the set of periods of low electricity load. The mathematical model expression for the coupling relationship between ice storage and ice melting energy in the ice storage equipment of the ice storage air conditioning system is as follows: ; In the formula: For ice storage equipment at all times The amount of cold storage capacity; For ice storage equipment at all times The amount of cold storage capacity; The cold energy dissipation factor of ice storage equipment; For the cooling unit at all times Ice production capacity; When the ice storage equipment is in a separate cooling mode for ice melting, it is always Cooling capacity; The ice storage efficiency of ice storage equipment; To improve the ice-melting efficiency of ice storage equipment; The optimized operation control step size for energy and carbon optimization regulation of ice storage air conditioning system in integrated energy system; This is the lower limit of the cold storage capacity of ice storage equipment; This refers to the upper limit of the cold storage capacity of ice storage equipment; This refers to the amount of cold energy stored at the start of the ice storage equipment's operating cycle. This refers to the amount of cold energy stored by the ice storage equipment at the end of its operating cycle. This is to determine the allowable deviation of the cold storage capacity at the beginning and end of the ice storage equipment's operating cycle, so as to ensure that there is a certain amount of cold storage capacity at the beginning of the next operating cycle. For the refrigeration unit to be in ice-making mode at all times The running status variable, which takes the value 1 when running and 0 when stopped; When the ice storage equipment is in a separate cooling mode for ice melting, it is always The running status variable, which takes the value 1 when running and takes the value 0 when stopped.
2. The energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system according to claim 1, characterized in that, The mathematical model of the ice storage air conditioning system's refrigeration unit providing independent cooling mode is that the refrigeration unit directly provides cooling. The mathematical model of the ice storage air conditioning system's refrigeration unit providing independent cooling mode includes: a variable operating condition characteristic mathematical model and a rated operating condition characteristic mathematical model. The mathematical model for the variable operating condition characteristics is expressed as follows: ; In the formula: For the cooling unit at all times Cooling capacity; For the refrigeration unit to be in cooling mode at all times Power consumption; , These are the operating condition performance factor parameters of the refrigeration unit during operation. For the refrigeration unit to be in cooling mode at all times The running status variable, which takes the value 1 when running and 0 when stopped; This is the upper limit of the cooling output of the refrigeration unit during operation; This is the lower limit of the cooling output of the refrigeration unit during operation; The tripping factor is set to prevent the refrigeration unit from operating at low load rates; This refers to the set of periods of low electricity load. The mathematical model for the rated operating condition characteristics is expressed as follows: ; In the formula: The rated energy efficiency coefficient of the refrigeration unit; The mathematical model for the ice storage air conditioning system's refrigeration unit's independent ice-making mode is that the refrigeration unit directly stores ice. The mathematical model for the ice storage air conditioning system's refrigeration unit's independent ice-making mode includes: a variable operating condition characteristic mathematical model and a rated operating condition characteristic mathematical model. The mathematical model expression for the variable operating condition characteristics is as follows: ; In the formula: For the cooling unit at all times Ice production capacity; For the refrigeration unit to be in ice-making mode at all times The running status variable, which takes the value 1 when running and 0 when stopped; For the refrigeration unit to be in ice-making mode at all times The running status variable, which takes the value 1 when running and 0 when stopped; For the refrigeration unit to be in ice-making mode at all times Power consumption; , These are the operating condition performance factor parameters of the refrigeration unit during operation. This refers to the start time of the designated off-peak electricity load period. The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; The mathematical model expression for the rated operating condition characteristics is as follows: ; In the formula: The rated energy efficiency coefficient of the refrigeration unit in ice-making mode; This is the start time of the set off-peak electricity load period.
3. The energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system according to claim 1, characterized in that, The mathematical model for the combined cooling mode of the ice storage air conditioning system's refrigeration unit and ice storage equipment includes: a mathematical model for priority cooling by the refrigeration unit of the ice storage air conditioning system, a mathematical model for priority cooling by the ice storage equipment of the ice storage air conditioning system, a mathematical model for proportional cooling by the ice storage air conditioning system, and a mathematical model for flexible optimization of cooling by the ice storage air conditioning system. The mathematical model expression for the priority cooling mode of the ice storage air conditioning system's refrigeration unit is as follows: ; In the formula: For use of cold terminals at all times The cooling load demand; This is the operating status variable of the refrigeration unit in the priority cooling mode of the refrigeration unit in the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. For the cooling unit at all times Cooling capacity; This is the upper limit of the cooling output of the refrigeration unit during operation; When the ice storage equipment is in a separate cooling mode for ice melting, it is always Cooling capacity; The mathematical model expression for the priority cooling mode of the ice storage equipment in the ice storage air conditioning system is as follows: ; In the formula: For use of cold terminals at all times The cooling load demand; This is the operating status variable for the ice storage equipment priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. When the ice storage equipment is in a separate cooling mode for ice melting, it is always Cooling capacity; The maximum cooling capacity when the ice storage equipment is supplied with cooling in a separate cooling mode for ice melting. For the cooling unit at all times Cooling capacity; The mathematical model expression for the proportional cooling mode of the ice storage air conditioning system is as follows: ; In the formula: For use of cold terminals at all times The cooling load demand; This is the operating status variable for the proportional cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. For the cooling unit at all times The cooling capacity; The ratio coefficient for the cooling load demand borne by the refrigeration unit and the ice storage equipment melting ice to provide cooling in the proportional cooling mode; When the ice storage equipment is in a separate cooling mode for ice melting, it is always The cooling capacity; The mathematical model expression for the flexible optimization of the cooling mode of the ice storage air conditioning system is as follows: ; In the formula: For use of cold terminals at all times The cooling load demand; To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. For the cooling unit at all times The cooling capacity; When the ice storage equipment is in a separate cooling mode for ice melting, it is always The cooling capacity.
4. The energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system according to claim 1, characterized in that, To establish an energy-carbon synergistic optimization operation strategy for the ice storage air conditioning system within the integrated energy system, based on the mathematical model of the combined cooling mode of the refrigeration unit and ice storage equipment in the ice storage air conditioning system, including: For the mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration unit and ice storage equipment, respectively set up energy economy optimization operation strategy and carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system. The optimal economic cost and corresponding carbon emissions under the energy economic optimization operation strategy of the ice storage air conditioning system in the integrated energy system are obtained through the energy economic optimization operation strategy of the ice storage air conditioning system in the integrated energy system. The optimal carbon emissions and corresponding energy economic cost under the strategy are obtained through the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system. Based on the data obtained from the energy economy optimization operation strategy and the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the energy and carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set. The mathematical model expression for the energy-efficient operation strategy of the ice storage air conditioning system in the integrated energy system is as follows: ; In the formula: To optimize the energy economic cost of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-efficient operation strategy; The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; For ice storage air conditioning systems at all times The time-of-use electricity price; To optimize the energy economy of ice storage air conditioning systems within integrated energy systems, and to ensure that ice storage air conditioning systems operate at all times... Power consumption; For the refrigeration unit to be in cooling mode at all times Power consumption; For the refrigeration unit to be in ice-making mode at all times Power consumption; When the ice storage equipment is in a separate cooling mode for ice melting, it is always Power consumption; This is the operating status variable of the refrigeration unit in the priority cooling mode of the refrigeration unit in the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. This is the operating status variable for the ice storage equipment priority cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. This is the operating status variable for the proportional cooling mode under the combined cooling mode of the refrigeration unit and the ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. To flexibly optimize the operating status variables of the cooling mode in the combined cooling mode of the refrigeration unit and the ice storage equipment, the value is 1 when this mode is selected and 0 when this mode is not selected. For the refrigeration unit to be in cooling mode at all times The running status variable, which takes the value 1 when running and 0 when stopped; For the refrigeration unit to be in ice-making mode at all times The running status variable, which takes the value 1 when running and 0 when stopped; The mathematical model expression for the optimized operation strategy of the ice storage air conditioning system in the integrated energy system is as follows: ; In the formula: To optimize carbon emissions of ice storage air conditioning systems in integrated energy systems during the control cycle under a carbon emission optimization operation strategy; The overall efficiency of power transmission in the power grid; The overall power generation efficiency of thermal power generating units; The carbon emission equivalent factor for standard coal; The mathematical model expression for the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows: ; In the formula: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; Weighting coefficients for optimizing operational strategies to reduce carbon emissions; Weighting coefficients for energy-efficient operation strategies; To optimize carbon emissions of ice storage air conditioning systems in integrated energy systems during the control cycle under a carbon emission optimization operation strategy; The optimal value under the optimized operating strategy for carbon emissions; Carbon emissions corresponding to energy-efficient operation strategies; To optimize the energy economic cost of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-efficient operation strategy; The optimal value under the energy-economic optimization operation strategy; The energy economic cost corresponding to the optimized operation strategy for carbon emissions; The carbon emission equivalent factor for standard coal; The overall efficiency of power transmission in the power grid; The overall power generation efficiency of a thermal power generating unit; 5. The energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system according to claim 1, characterized in that, The integrated energy system's ice storage air conditioning system's regulation potential release energy carbon co-optimization operation strategy includes: increasing the power regulation potential release energy carbon co-optimization operation strategy and decreasing the power regulation potential release energy carbon co-optimization operation strategy. The model expressions for the upward adjustment of the power regulation potential release energy carbon co-optimization operation strategy and the downward adjustment of the power regulation potential release energy carbon co-optimization operation strategy are set as follows: ; In the formula: To optimize the comprehensive energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems by releasing the potential for increased power regulation and optimizing energy and carbon synergistic operation under the strategy of optimizing energy and carbon synergy during the regulation cycle. To optimize the comprehensive energy and carbon efficiency of ice storage air conditioning systems within integrated energy systems by releasing the potential for energy and carbon synergistic optimization of operation under the energy and carbon synergistic optimization strategy of reducing power regulation; To set state variables for the upward adjustment of the energy release potential of the power regulation and the downward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy, a state variable is set. When the state variable is set to 1, it means that the upward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy is executed. When the state variable is set to 0, it means that the downward adjustment of the energy release potential of the power regulation and the carbon synergistic optimization operation strategy is executed. When the strategy of increasing the power regulation potential release energy and carbon co-optimization is selected, the mathematical model expression of the strategy is as follows: ; In the formula: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning systems within integrated energy systems during the control cycle under an energy-carbon synergistic optimization operation strategy; The total number of time periods within the operating cycle of the ice storage air conditioning system in the integrated energy system for energy and carbon optimization and control; For use of cold terminals at all times The cooling load demand; To participate in the reduction of power adjustment of the cold terminal at the time The cooling load demand; For at any time Increase the release of the power adjustment potential; For at any time The upper limit of the potential release of increased power regulation capacity has been raised; For at any time The lower limit of the potential release of increased power regulation capacity has been raised. To adjust the set of periods for releasing the potential for increased power regulation; When the strategy of reducing power regulation potential to release energy and carbon co-optimization is selected, the mathematical model expression of the strategy is as follows: ; In the formula: To participate in the reduction of power adjustment of the cold terminal at the time The cooling load demand; For at any time Reduce the potential release of power reduction regulation; For at any time Lower the upper limit of the potential release of power reduction regulation; For at any time Lower the lower limit of the potential release of power reduction regulation; This refers to the set of periods during which the potential for reduced power regulation is released.
6. The energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system according to any one of claims 1-5, characterized in that, The operation startup information includes: operating condition performance factor parameters of the refrigeration unit during operation, upper limit of cooling output of the refrigeration unit during operation, lower limit of cooling output of the refrigeration unit during operation, tripping coefficient set to avoid the refrigeration unit operating at low load rate, set of low-load periods, rated energy efficiency coefficient of the refrigeration unit's cooling performance, start time of low-load periods, total number of periods within the operating cycle of energy and carbon optimization control of the ice storage air conditioning system in the integrated energy system, rated energy efficiency coefficient of the refrigeration unit's ice-making performance in ice-making mode, upper limit of cooling capacity of the ice storage equipment in ice-melting standalone cooling mode, ice-melting performance coefficient of the ice storage equipment, rated power supply of the ice storage equipment in ice-melting standalone cooling mode, rated installed capacity of the ice storage equipment, cold dissipation factor of the ice storage equipment, ice storage efficiency of the ice storage equipment, ice-melting efficiency of the ice storage equipment, optimized operation control step size of energy and carbon optimization control of the ice storage air conditioning system in the integrated energy system, and ice storage equipment. The following parameters are considered: lower limit of cold storage capacity, upper limit of cold storage capacity of ice storage equipment, cold storage capacity of ice storage equipment at the beginning of the operating cycle, cold storage capacity of ice storage equipment at the end of the operating cycle, allowable deviation of cold storage capacity of ice storage equipment at the beginning and end of the operating cycle, proportional coefficient of cooling load demand undertaken by refrigeration host cooling and ice storage equipment melting cooling under proportional cooling mode, time-of-use electricity price of ice storage air conditioning system, comprehensive power transmission efficiency of power grid, comprehensive power generation efficiency of thermal power generating unit, carbon emission equivalent factor of standard coal, weight coefficient of carbon emission optimization operation strategy, weight coefficient of energy economy optimization operation strategy, upper limit of increased power regulation potential release, lower limit of increased power regulation potential release, set of periods for increased power regulation potential release, upper limit of decreased power regulation potential release, lower limit of decreased power regulation potential release, set of periods for decreased power regulation potential release, and cooling load demand of cooling terminals at each time. The optimized control results information of the ice storage air conditioning system in the integrated energy system includes: the cooling capacity of the chiller at each moment, the power consumption of the chiller in cooling mode at each moment, the operating status variables of the chiller in cooling mode at each moment, the ice production capacity of the chiller at each moment, the operating status variables of the chiller in ice-making mode at each moment, the power consumption of the chiller in ice-making mode at each moment, the power consumption of the ice storage equipment in ice-melting cooling mode at each moment, the cooling capacity of the ice storage equipment in ice-melting cooling mode at each moment, the cold storage capacity of the ice storage equipment at each moment, and the chiller... The following parameters are considered: operating state variables at various times during ice-making mode; operating state variables at various times during ice storage equipment melting and cooling mode; cooling capacity at various times during ice storage equipment melting and cooling mode; energy economic cost of the ice storage air conditioning system in the integrated energy system within the optimized control cycle under the energy economic optimization operation strategy; power consumption of the ice storage air conditioning system in the integrated energy system at various times under the energy economic optimization operation strategy; operating state variables of the refrigeration unit prioritizing cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; and the operation state variables of the ice storage equipment prioritizing cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment. The operational state variables of the ice storage air conditioning system in the integrated energy system include: the operating state variables of the proportional cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; the operating state variables of the flexible optimization cooling mode under the combined cooling mode of the refrigeration unit and ice storage equipment; the carbon emissions of the ice storage air conditioning system in the integrated energy system during the optimized control period under the carbon emission optimization operation strategy; the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy-carbon synergy optimization operation strategy; the optimal value under the carbon emission optimization operation strategy; and the corresponding carbon emissions under the energy economy optimization operation strategy. The energy economic cost during the optimized control period under the energy economic optimization operation strategy, the optimal value under the energy economic optimization operation strategy, the corresponding energy economic cost under the carbon emission optimization operation strategy, the release of the potential for increased power regulation at each time point, the release of the potential for decreased power regulation at each time point, the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy and carbon synergistic optimization operation strategy of increasing the potential for increased power regulation, and the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system during the optimized control period under the energy and carbon synergistic optimization operation strategy of decreasing the potential for decreased power regulation.
7. A modeling system for energy and carbon optimization control of an ice storage air conditioning system in an integrated energy system, implementing the energy and carbon optimization control modeling method for an ice storage air conditioning system in any one of claims 1-6, characterized in that, include: The first model construction module establishes a mathematical model of the operation mode of the refrigeration unit of the ice storage air conditioning system, including a mathematical model of the refrigeration unit of the ice storage air conditioning system providing cooling mode alone and a mathematical model of the refrigeration unit of the ice storage air conditioning system making ice mode alone. The second model construction module establishes a mathematical model of the operation mode of ice storage equipment in ice storage air conditioning system, including a mathematical model of the ice melting and independent cooling mode of ice storage equipment in ice storage air conditioning system and a mathematical model of the coupling and change relationship of ice storage and ice melting energy in ice storage equipment in ice storage air conditioning system. The third model construction module establishes a mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration host and ice storage equipment, based on the mathematical model of the ice storage air conditioning system's refrigeration host and ice storage equipment's operation mode. The first operation strategy setting module sets the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the ice storage air conditioning system's refrigeration host and ice storage equipment. The second operation strategy setting module, based on the operation of the combined cooling mode mathematical model of the ice storage air conditioning system chiller and ice storage equipment in the integrated energy system with the energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system, sets the adjustment potential release energy-carbon synergistic optimization operation strategy of the ice storage air conditioning system in the integrated energy system for the combined cooling mode mathematical model of the ice storage air conditioning system chiller and ice storage equipment, thus forming the ice storage air conditioning system in the integrated energy system. The control result output module inputs operation start-up information to the ice storage air conditioning system in the integrated energy system, and outputs the optimized control result information of the ice storage air conditioning system in the integrated energy system through the ice storage air conditioning system in the integrated energy system.
8. An electronic device, characterized in that, The system includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When executed by the processor, the computer program implements the energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system as described in any one of claims 1-6.
9. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the energy and carbon optimization control modeling method for ice storage air conditioning system in an integrated energy system as described in any one of claims 1-6.