Energy-carbon optimization regulation and control modeling method for ice storage air-conditioning system in comprehensive energy system

Abstract

The invention relates to the technical field of energy-carbon regulation and control of an ice storage air-conditioning system in a comprehensive energy system, and provides an energy-carbon optimization regulation and control modeling method of the ice storage air-conditioning system in the comprehensive energy system, which comprises the following steps of: establishing an operation mode mathematical model of a refrigeration host of the ice storage air-conditioning system; establishing an operation mode mathematical model of the ice storage equipment of the ice storage air-conditioning system; establishing a combined cooling mode mathematical model of a refrigeration host and ice storage equipment of the ice storage air-conditioning system; an energy-carbon collaborative optimization operation strategy of the ice storage air-conditioning system in the comprehensive energy system is set for the combined cooling mode mathematical model of the refrigeration host and the ice storage equipment of the ice storage air-conditioning system; and an ice storage air-conditioning system regulation potential release energy carbon collaborative optimization operation strategy in the comprehensive energy system is set for the ice storage air-conditioning system refrigeration host and ice storage equipment combined cooling mode mathematical model, and the ice storage air-conditioning system in the comprehensive energy system is formed. The method can provide reference and guidance for operation optimization regulation and control management of the ice storage air-conditioning system in the comprehensive energy system.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-carbon regulation of ice-storage air-conditioning systems in integrated energy systems, and in particular to an energy-carbon optimization regulation modeling method for ice-storage air-conditioning systems in integrated energy systems. Background Art

[0002] With growing energy demand and increasingly severe environmental challenges, finding efficient and clean energy utilization has become a global challenge. Integrated energy systems, as an innovative solution, combine the advantages of different energy sources to achieve efficient energy utilization and optimal allocation, playing a crucial role in promoting energy transition and achieving sustainable development. Against this backdrop, research on operational control strategies and modeling technologies for ice storage air conditioning systems, as a key component of these systems, is particularly urgent and important. Ice storage air conditioning systems operate the main refrigeration unit during nighttime periods of low electricity demand, storing cold energy in the form of ice and releasing it during peak daytime hours to meet the energy needs of buildings. This strategy effectively shifts energy consumption during the cooling process, optimizes energy distribution, and reduces costs. Compared to traditional air conditioning systems, ice storage air conditioning systems reduce peak load pressure on the power grid by intelligently scheduling the operation of refrigeration units, alleviating power supply constraints and reducing overall energy costs. In regions with peak-offset electricity pricing policies, ice storage air conditioning systems effectively reduce daytime electricity loads by cooling and storing cold energy during low-price nighttime periods and releasing it 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 taken into account, and 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 timing operation strategy, ignoring the actual demand for energy-carbon synergy, resulting in poor carbon reduction effect; (3) The existing ice storage air-conditioning system operation technology lacks strategies for grid-load interaction scenarios, and the regulation potential of grid-load interaction has not been explored and released, resulting in poor flexibility regulation efficiency of the ice storage air-conditioning system joint cooling mode, and it is impossible to achieve a full-process technical solution for energy-carbon optimization and regulation.

[0004] Therefore, in-depth research on the operation control strategies and modeling techniques of ice storage air-conditioning system technology is crucial to improving system performance, optimizing energy utilization and reducing environmental impact. Summary of the Invention

[0005] The purpose of the present invention is to solve at least one technical problem in the background technology and provide an energy-carbon optimization control modeling method for an ice storage air-conditioning system in an integrated energy system.

[0006] To achieve the above objectives, the present invention provides a method for optimizing the energy and carbon control modeling of an ice storage air conditioning system in an integrated energy system, comprising:

[0007] Establish a mathematical model of the operation mode of the refrigeration host of the ice storage air-conditioning system, including a mathematical model of the refrigeration host of the ice storage air-conditioning system in a separate cooling mode and a mathematical model of the refrigeration host of the ice storage air-conditioning system in a separate ice-making mode;

[0008] Establish a mathematical model of the operation mode of ice storage equipment in ice storage air conditioning system, including a mathematical model of ice melting and independent cooling mode of ice storage equipment in ice storage air conditioning system and a mathematical model of the energy coupling change relationship between ice storage and ice melting of ice storage equipment in ice storage air conditioning system;

[0009] Based on the mathematical model of the operation mode of the refrigeration host 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 host and the ice storage equipment of the ice storage air conditioning system is established;

[0010] Setting an energy-carbon synergistic optimization operation strategy for the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system;

[0011] On the basis of the operation of the mathematical model of the combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air-conditioning system in accordance with the energy-carbon coordinated 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 refrigeration host and the ice storage equipment of the ice storage air-conditioning system is set with the energy-carbon coordinated optimization operation strategy of the ice storage air-conditioning system in the integrated energy system to release the regulation potential of the ice storage air-conditioning system, thereby forming the ice storage air-conditioning system in the integrated energy system;

[0012] Input operation startup information to the ice storage air conditioning system in the integrated energy system, and output optimization 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.

[0013] According to one aspect of the present invention, the mathematical model of the ice storage air conditioning system refrigeration host independent cooling mode is direct cooling by the refrigeration host, and the mathematical model of the ice storage air conditioning system refrigeration host independent cooling mode includes: a variable working condition characteristic mathematical model and a rated working condition characteristic mathematical model;

[0014] The expression of the variable operating condition characteristic mathematical model is as follows:

[0015]

[0016] Where: For the refrigeration host at time t cooling capacity; When the refrigeration host is in cooling mode at time t The power consumption of the refrigeration unit is θ1 and θ2, which are the performance factor parameters of the refrigeration unit when it is running. is the operating state variable of the refrigeration host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; It is the upper limit of cooling output when the refrigeration host is running; The lower limit of cooling output when the refrigeration host is running; κ Air The trip coefficient set to prevent the refrigeration host from running at a low load rate; Ω valley It is a set of low power load periods;

[0017] The expression of the mathematical model of the rated operating condition characteristics is as follows:

[0018]

[0019] Where: is the cooling capacity of the refrigeration host at time t; is the power consumption of the refrigeration unit at time t in cooling mode; COP Air The rated energy efficiency coefficient of the refrigeration performance of the refrigeration host; is the operating state variable of the refrigeration host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; It is the upper limit of cooling output when the refrigeration host is running; The lower limit of cooling output when the refrigeration host is running; κ Air The cut-off coefficient set to prevent the refrigeration host from running at a low load rate; Ω valley It is a set of low power load periods;

[0020] The mathematical model of the ice storage air conditioning system refrigeration host independent ice making mode is that the refrigeration host directly stores ice, and the mathematical model of the ice storage air conditioning system refrigeration host independent ice making mode includes: a mathematical model of variable working condition characteristics and a mathematical model of rated working condition characteristics;

[0021] The mathematical model expression of the variable operating condition characteristic is as follows:

[0022]

[0023] Where: is the ice production of the refrigeration unit at time t; It is the upper limit of cooling output when the refrigeration host is running; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t+1, where the value is 1 when running and 0 when stopped; is the power consumption of the refrigeration host in ice-making mode at time t; θ1 and θ2 are the operating performance factor parameters of the refrigeration host when it is running; Ω valley It is a set of low power load periods; N is the starting time of the set power load off-peak 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 control;

[0024] The mathematical model expression of the rated operating condition characteristics is as follows:

[0025]

[0026] Where: is the ice production of the refrigeration unit at time t; It is the upper limit of cooling output when the refrigeration host is running; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; is the power consumption of the refrigeration unit in ice making mode at time t; COP Ice,cha The rated energy efficiency coefficient of the refrigeration unit in ice-making mode; Ω valley It is a set of low power load periods; N is the starting time of the set power load off-peak 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-carbon optimization control.

[0027] According to one aspect of the present invention, the mathematical model expression of the ice storage device melting ice and providing cooling separately in the ice storage air conditioning system is as follows:

[0028]

[0029] Where: The power consumption at time t when the ice storage device is in ice melting and cooling mode; Rated power supply for ice storage equipment in ice melting and cooling mode; is the operating state variable of the ice storage device in the ice melting and cooling mode at time t, where the value is 1 when running and 0 when stopped; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode; The upper limit of cooling capacity when the ice storage equipment melts ice and provides cooling separately; ξ Ice,dis The ice melting performance coefficient of the ice storage equipment; is the rated installed capacity of the ice storage equipment; Ωvalley It is a set of low power load periods;

[0030] The mathematical model expression of the coupling change relationship between ice storage and ice melting energy of the ice storage equipment of the ice storage air conditioning system is as follows:

[0031]

[0032] Where: is the cold storage capacity of the ice storage equipment at time t+1; is the cold storage capacity of the ice storage equipment at time t; δ loss is the cooling dissipation factor of the ice storage equipment; is the ice production of the refrigeration unit at time t+1; The cooling capacity at time t+1 when the ice storage equipment is in ice melting and cooling mode; η cha is the ice storage efficiency of the ice storage equipment; η dis is the ice melting efficiency of the ice storage equipment; Δt is the optimal operation control step length of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system; The lower limit of the cold storage capacity of the ice storage equipment; The upper limit of the cold storage capacity of the ice storage equipment; The cold storage capacity of the ice storage equipment at the beginning of the operation cycle; It is the cold storage capacity of the ice storage equipment at the end of the operation cycle; The tolerance of the cold storage capacity of the ice storage equipment at the beginning and end of the operation cycle to ensure a certain amount of cold storage capacity at the beginning of the next operation cycle; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; It is the operating state variable of the ice storage device in the ice melting and cooling mode at time t, where the value is 1 when running and 0 when stopped.

[0033] According to one aspect of the present invention, the mathematical model of the combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system includes: a mathematical model of the ice storage air conditioning system refrigeration host priority cooling supply, a mathematical model of the ice storage air conditioning system ice storage equipment priority cooling supply, a mathematical model of the ice storage air conditioning system proportional cooling supply, and a mathematical model of the ice storage air conditioning system flexible optimization cooling supply;

[0034] The mathematical model expression of the ice storage air conditioning system refrigeration host priority cooling mode is as follows:

[0035]

[0036] Where: is the cooling load demand of the cooling terminal at time t; Air,priThe variable is the operating state of the cooling host in the cooling mode of the refrigeration host and the ice storage device in which the cooling host prioritizes the cooling mode. The value is 1 when this mode is selected and 0 when this mode is not selected. is the cooling capacity of the refrigeration host at time t; It is the upper limit of cooling output when the refrigeration host is running; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode;

[0037] The mathematical model expression of the ice storage equipment priority cooling mode of the ice storage air conditioning system is as follows:

[0038]

[0039] Where: is the cooling load demand of the cooling terminal at time t; Ice,dis,pri The variable represents the operating status of the ice storage device in the cooling mode with priority in the cooling mode of the refrigeration host and the ice storage device. 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 ice melting and cooling mode; The upper limit of cooling capacity when melting ice for ice storage equipment and providing cooling separately; is the cooling capacity of the refrigeration host at time t;

[0040] The mathematical model expression of the proportional cooling mode of the ice storage air conditioning system is as follows:

[0041]

[0042] Where: is the cooling load demand of the cooling terminal at time t; Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and ice storage equipment. When this mode is selected, the value is 1, and when this mode is not selected, the value is 0; is the cooling capacity of the refrigeration host at time t; τ ratio The ratio coefficient of the cooling load demand between the cooling supply of the refrigeration main unit and the cooling supply of ice melting of the ice storage device in the proportional cooling mode; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode;

[0043] The mathematical model expression of the flexible optimization cooling mode of the ice storage air conditioning system is as follows:

[0044]

[0045] Where: is the cooling load demand of the cooling terminal at time t; FlexIt is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. is the cooling capacity of the refrigeration host at time t; The cooling capacity at time t in the ice storage equipment melting and cooling mode.

[0046] According to one aspect of the present invention, an energy-carbon coordinated optimization operation strategy for the ice storage air conditioning system in the integrated energy system is set for the mathematical model of the combined cooling mode of the refrigeration host 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 host and ice storage equipment of the ice storage air-conditioning system, an energy economy optimization operation strategy of the ice storage air-conditioning system in the integrated energy system and a carbon emission optimization operation strategy of the ice storage air-conditioning system in the integrated energy system are respectively set;

[0048] The optimal economic cost and corresponding carbon emissions under the energy economy optimization operation strategy of the ice storage air conditioning system in the integrated energy system are obtained. 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 of the ice storage air conditioning system in the integrated energy system and the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the energy-carbon coordinated optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set;

[0050] The mathematical model expression of the energy economy optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:

[0051]

[0052] Where: f enery,eco To optimize the energy economic cost of the ice storage air conditioning system in the integrated energy system under the energy economic optimization operation strategy within the control cycle; 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 control; is the time-of-use electricity price of the ice storage air conditioning system at time t; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; πAir,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and the value is 0 when this mode is not selected; π Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped;

[0053] The mathematical model expression of the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:

[0054]

[0055] Where: f enery,carb To optimize the carbon emissions of the ice storage air conditioning system in the integrated energy system under the carbon emissions optimization operation strategy within the control cycle; Δt is the total number of time periods in the operation cycle of the energy-carbon optimization control of the ice storage air-conditioning system in the integrated energy system; η trass is the comprehensive efficiency of power transmission of the power grid; η gen is the comprehensive power generation efficiency of the thermal power generating unit; carb is the carbon emission equivalent factor of standard coal; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,priis the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and the value is 0 when this mode is not selected; π Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped;

[0056] The mathematical model expression of the energy-carbon coordinated 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 comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system within the control cycle under the energy-carbon coordinated optimization operation strategy; enery,eco The weight coefficient of the carbon emission optimization operation strategy; ν enery,carb The weight coefficient of the energy economy optimization operation strategy; f enery,carb To optimize the carbon emissions of ice storage air conditioning system in integrated energy system within the control cycle under the carbon emissions optimization operation strategy; Optimal value under the carbon emission optimization operation strategy; The corresponding carbon emissions under the energy economy optimization operation strategy; f enery,eco To optimize the energy economic cost of the ice storage air conditioning system in the integrated energy system within the control cycle under the energy economic optimization operation strategy; Optimal value under energy economy optimization operation strategy; N is the energy economic cost corresponding to the carbon emission optimization operation strategy; Δt is the total number of time periods in the operation cycle of the energy-carbon optimization control of the ice storage air-conditioning system in the integrated energy system; ψ carb is the carbon emission equivalent factor of standard coal; η trass is the comprehensive efficiency of power transmission of the power grid; η gen is the comprehensive power generation efficiency of the thermal power generating unit; is the time-of-use electricity price of the ice storage air conditioning system at time t; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and the value is 0 when this mode is not selected; π Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped.

[0059] According to one aspect of the present invention, the energy-carbon collaborative optimization operation strategy for regulating potential release of the ice storage air conditioning system in the integrated energy system includes: an upward adjustment power increase regulating potential release energy-carbon collaborative optimization operation strategy, and a downward adjustment power reduction regulating potential release energy-carbon collaborative optimization operation strategy;

[0060] The model expressions for the upward adjustment of the power regulation potential to release the energy-carbon coordinated optimization operation strategy and the downward adjustment of the power regulation potential to release the energy-carbon coordinated optimization operation strategy are set as follows:

[0061]

[0062] Where: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning system in integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of increasing power regulation potential; To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy by reducing power regulation potential; Set state variables for upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy and downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy. When set to 1, it means executing upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy; when set to 0, it means executing downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy;

[0063] When the strategy of increasing the power regulation potential to release the energy and carbon synergistic optimization operation is selected, the mathematical model expression of the strategy of increasing the power regulation potential to release the energy and carbon synergistic optimization operation is as follows:

[0064]

[0065] Where: To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of increasing power regulation potential; eco,carb To optimize the comprehensive energy-carbon benefits of ice storage air-conditioning system in integrated energy system under the energy-carbon coordinated optimization operation strategy within the control cycle; 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 control; is the cooling load demand of the cooling terminal at time t; is the cooling load demand of the cooling terminal at time t after the power reduction regulation; is the amount of potential release for increasing power regulation at time t; To increase the upper limit of the power regulation potential release at time t; is the lower limit of the power regulation potential release at time t; Ω up,adj Set of time periods for releasing potential for increasing power regulation;

[0066] When the strategy of reducing power regulation potential and releasing energy and carbon in a coordinated optimization operation is selected, the mathematical model expression of the strategy of reducing power regulation potential and releasing energy and carbon in a coordinated optimization operation is as follows:

[0067]

[0068] Where: To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of reducing power regulation potential; eco,carb To optimize the comprehensive energy-carbon benefits of ice storage air-conditioning system in integrated energy system under the energy-carbon coordinated optimization operation strategy within the control cycle; 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 control; is the cooling load demand of the cooling terminal at time t; is the cooling load demand of the cooling terminal at time t after the power reduction regulation; is the amount of power regulation potential released at time t; is to reduce the upper limit of the power regulation potential release at time t; is the lower limit of the power regulation potential release at time t; Ω down,adj A collection of time periods for releasing the potential for downward power reduction regulation.

[0069] According to one aspect of the present invention, the operation startup information includes: operating performance factor parameters of the refrigeration host when it is operating, the upper limit of the cooling output when the refrigeration host is operating, the lower limit of the cooling output when the refrigeration host is operating, the machine cutting coefficient set to avoid the refrigeration host from operating at a low load rate, a set of power load low-valley periods, the rated energy efficiency coefficient of the refrigeration performance of the refrigeration host, the start time of the power load low-valley period, the total number of time periods in the operation cycle of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system, the rated energy efficiency coefficient of the ice-making performance of the refrigeration host in the ice-making mode, the upper limit of the cooling capacity of the ice storage device in the ice melting and separate cooling mode, the ice melting performance coefficient of the ice storage device, the rated power supply of the ice storage device in the ice melting and separate cooling mode, the rated installed capacity of the ice storage device, the cooling dissipation factor of the ice storage device, the ice storage efficiency of the ice storage device, the ice melting efficiency of the ice storage device, and the optimized operation control step length of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system , the lower limit of the cold storage capacity of the ice storage equipment, the upper limit of the cold storage capacity of the ice storage equipment, the cold storage capacity of the ice storage equipment at the beginning of the operation cycle, the cold storage capacity of the ice storage equipment at the end of the operation cycle, the allowable deviation of the cold storage capacity of the ice storage equipment at the beginning and end of the operation cycle, the ratio coefficient of the cooling load demand borne by the cooling host cooling and the ice melting cooling of the ice storage equipment in the proportional cooling mode, the time-of-use electricity price value of the ice storage air-conditioning system, the comprehensive efficiency of the power transmission of the power grid, the comprehensive power generation efficiency of the thermal power generating unit, the carbon emission equivalent factor of the standard coal, the weight coefficient of the carbon emission optimization operation strategy, the weight coefficient of the energy economy optimization operation strategy, the upper limit of the increase in power regulation potential release, the lower limit of the increase in power regulation potential release, the set of the increase in power regulation potential release time period, the upper limit of the decrease in power regulation potential release, the lower limit of the decrease in power regulation potential release, the set of the decrease in power regulation potential release time period, the cooling load demand of the cold terminal at each time;

[0070] The optimization control result information of the ice storage air conditioning system in the integrated energy system includes: the cooling capacity of the refrigeration host at each moment, the power consumption of the refrigeration host in the cooling mode at each moment, the operating state variables of the refrigeration host in the cooling mode at each moment, the ice making capacity of the refrigeration host at each moment, the operating state variables of the refrigeration host in the ice making mode at each moment, the power consumption of the refrigeration host in the ice making mode at each moment, the power consumption of the ice storage device in the ice melting and cooling mode at each moment, the cooling capacity of the ice storage device in the ice melting and cooling mode at each moment, the cooling capacity of the ice storage device at each moment, the cooling capacity of the refrigeration host The operating state variables at each moment in ice-making mode, the operating state variables at each moment in ice storage equipment melting ice and cooling mode, the cooling capacity at each moment in ice storage equipment melting ice and cooling mode, the energy economic cost of the ice storage air-conditioning system in the integrated energy system under the energy economy optimization operation strategy during the optimization control cycle, the power consumption of the ice storage air-conditioning system in the integrated energy system under the energy economy optimization operation strategy at each moment, the operating state variables of the cooling mode with priority of the cooling host in the cooling mode jointly supplied by the refrigeration host and the ice storage equipment, the cooling capacity of the ice storage equipment in the cooling mode jointly supplied by the refrigeration host and the ice storage equipment The operating state variables of the cooling mode, the operating state variables of the proportional cooling mode in the joint cooling mode of the refrigeration host and ice storage equipment, the operating state variables of the flexible optimization cooling mode in the joint cooling mode of the refrigeration host 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 optimization control cycle, the energy-carbon comprehensive benefits of the ice storage air-conditioning system in the integrated energy system under the energy-carbon coordinated optimization operation strategy during the optimization control cycle, the optimal value under the carbon emission optimization operation strategy, the corresponding carbon emissions under the energy economy optimization operation strategy, the ice storage air-conditioning system in the integrated energy system The energy economic cost during the optimization control cycle under the energy economy optimization operation strategy, the optimal value under the energy economy optimization operation strategy, the corresponding energy economic cost under the carbon emission optimization operation strategy, the amount of power regulation potential released at each moment, the amount of power regulation potential released at each moment, the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the optimization control cycle under the energy-carbon coordinated optimization operation strategy of releasing power regulation potential by increasing power, and the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the optimization control cycle under the energy-carbon coordinated optimization operation strategy of releasing power regulation potential by decreasing power.

[0071] To achieve the above objectives, the present invention further provides an energy-carbon optimization control modeling system for an ice storage air conditioning system in an integrated energy system, comprising:

[0072] The first model building module establishes a mathematical model of the operation mode of the refrigeration host of the ice storage air-conditioning system, including a mathematical model of the ice storage air-conditioning system refrigeration host in a separate cooling mode and a mathematical model of the ice storage air-conditioning system refrigeration host in a separate ice-making mode;

[0073] The second model building module establishes a mathematical model of the operation mode of the ice storage equipment of the ice storage air conditioning system, including a mathematical model of the ice storage equipment melting ice and providing cooling separately in the ice storage air conditioning system and a mathematical model of the energy coupling change relationship between ice storage and melting in the ice storage equipment of the ice storage air conditioning system;

[0074] A third model building module is configured to establish a mathematical model of a combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system based on the mathematical model of the operation mode of the refrigeration host 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;

[0075] The first operation strategy setting module sets an energy-carbon coordinated optimization operation strategy for the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system;

[0076] The second operation strategy setting module sets an energy-carbon collaborative optimization operation strategy for releasing regulation potential of the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system, based on the operation of the energy-carbon collaborative optimization operation strategy of the ice storage air conditioning system in the integrated energy system, to form an 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 optimization 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-mentioned objectives, the present invention also provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the energy-carbon optimization control modeling method of the ice storage air-conditioning system in the integrated energy system as described above is implemented.

[0079] To achieve the above-mentioned objectives, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the energy-carbon optimization control modeling method of the ice storage air-conditioning system in the integrated energy system as described above is implemented.

[0080] According to the solution of the present invention, the present invention aims to provide an energy-carbon optimization control modeling method for ice storage air-conditioning systems in integrated energy systems, fully considering the key physical characteristics and operating domain characteristics of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, establishing a mathematical model of the refrigeration host, ice storage equipment and their joint cooling mode of the ice storage air-conditioning system, and setting an energy-carbon collaborative optimization operation strategy and an adjustment potential release energy-carbon collaborative optimization operation strategy according to the project operation requirements. The present invention is expected to assist in the application promotion and operation characteristic analysis of ice storage air-conditioning systems in integrated energy systems; to solve the technical difficulties in model construction for multiple scenarios, multiple operating conditions, and grid-load interactive regulation of ice storage air-conditioning systems; to provide reference and guidance for operation optimization control management, energy conservation and emission reduction analysis, grid-load interactive regulation potential mining and release, and participation in grid regulation coordinated operation analysis of ice storage air-conditioning systems in integrated energy systems.

[0081] According to the solution of the present invention, the present invention fully considers the key physical characteristics and operating domain characteristics of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, and establishes a more refined mathematical model of the refrigeration host, ice storage equipment and their joint cooling mode of the ice storage air-conditioning system, which is conducive to the real-time operation characteristics and real-time state refinement analysis and engineering application promotion of the ice storage air-conditioning system; according to the actual needs of cost reduction and carbon reduction in engineering applications, the present invention comprehensively sets up an energy-carbon coordinated optimization operation strategy and an adjustment potential release energy-carbon coordinated optimization operation strategy, effectively realizes the time transfer of energy consumption in the refrigeration process, optimizes energy supply distribution, and achieves grid-load interaction while reducing energy operation 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, It flexibly provides a mathematical model of the joint cooling mode of the refrigeration host and ice storage equipment and an operation multi-scenario selection scheme, and at the same time provides a grid-load interactive regulation potential release energy-carbon collaborative optimization operation strategy, which improves the operation flexibility and comprehensive efficiency of the integrated energy system, and has a positive effect on promoting the sustainable use of energy and reducing environmental impact; the present invention constructs a multi-scenario refined model and energy-carbon optimization control strategy for the operation of the ice storage air-conditioning system in the integrated energy system, realizes the overall full-process scheme of data information input, model construction and calculation, scenario setting selection, operation optimization control, and optimization control result information output, which can provide reference and guidance for the operation optimization control management of the ice storage air-conditioning system in the integrated energy system, energy conservation and emission reduction analysis, grid-load interactive regulation potential mining and release, and participation in grid regulation coordinated operation analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 A flowchart schematically illustrates an energy-carbon optimization control modeling method for an ice-storage air-conditioning system in an integrated energy system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0083] The present invention will now be discussed with reference to exemplary embodiments. It should be understood that the embodiments discussed are only intended to enable those skilled in the art to better understand and implement the present invention, rather than to imply any limitation on the scope of the present invention.

[0084] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including, but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment."

[0085] Figure 1 The flowchart schematically shows the energy-carbon optimization control modeling method of the ice storage air conditioning system in the integrated energy system according to one embodiment of the present invention. Figure 1 As shown, in this embodiment, the energy-carbon optimization control modeling method of the ice storage air conditioning system in the integrated energy system includes:

[0086] Establish a mathematical model of the operation mode of the refrigeration host of the ice storage air-conditioning system, including a mathematical model of the refrigeration host of the ice storage air-conditioning system in a separate cooling mode and a mathematical model of the refrigeration host of the ice storage air-conditioning system in a separate ice-making mode;

[0087] Establish a mathematical model of the operation mode of ice storage equipment in ice storage air conditioning system, including a mathematical model of ice melting and independent cooling mode of ice storage equipment in ice storage air conditioning system and a mathematical model of the energy coupling change relationship between ice storage and ice melting of ice storage equipment in ice storage air conditioning system;

[0088] Based on the mathematical model of the operation mode of the refrigeration host 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 joint cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system is established;

[0089] For the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system, an energy-carbon coordinated optimization operation strategy for the ice storage air conditioning system in the integrated energy system is set;

[0090] On the basis of the operation of the energy-carbon synergistic optimization operation strategy of the ice storage air-conditioning system in the integrated energy system based on the mathematical model of the joint cooling mode of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, the energy-carbon synergistic optimization operation strategy of the ice storage air-conditioning system in the integrated energy system is set for the mathematical model of the joint cooling mode of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, thereby forming the ice storage air-conditioning system in the integrated energy system;

[0091] Input operation startup information to the ice storage air conditioning system in the integrated energy system, and output optimization 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.

[0092] Furthermore, according to an embodiment of the present invention, the mathematical model of the ice storage air conditioning system refrigeration host independent cooling mode is the refrigeration host directly providing cooling, and the mathematical model of the ice storage air conditioning system refrigeration host independent cooling mode includes: a variable working condition characteristic mathematical model and a rated working condition characteristic mathematical model;

[0093] The expression of the mathematical model of variable operating condition characteristics is as follows:

[0094]

[0095] Where: is the cooling capacity of the refrigeration host at time t; is the power consumption of the refrigeration host at time t in cooling mode; θ1 and θ2 are the operating performance factor parameters of the refrigeration host when it is running; is the operating state variable of the refrigeration host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; It is the upper limit of cooling output when the refrigeration host is running; The lower limit of cooling output when the refrigeration host is running; κ Air The cut-off coefficient set to prevent the refrigeration host from running at a low load rate; Ω valley It is a set of low power load periods;

[0096] When only the refrigeration host is considered to be operating under rated conditions, the mathematical model of the simplified rated operating condition characteristics of the refrigeration host is expressed as follows:

[0097]

[0098] Where: is the cooling capacity of the refrigeration host at time t; is the power consumption of the refrigeration unit at time t in cooling mode; COP Air The rated energy efficiency coefficient of the refrigeration performance of the refrigeration host; is the operating state variable of the refrigeration host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; It is the upper limit of cooling output when the refrigeration host is running; The lower limit of cooling output when the refrigeration host is running; κ Air The cut-off coefficient set to prevent the refrigeration host from running at a low load rate; Ω valley It is a set of low power load periods;

[0099] The mathematical model of the ice storage air conditioning system's refrigeration host's independent ice-making mode is that the refrigeration host directly stores ice. The refrigeration host operates at the maximum cooling output power during the off-peak period of power load to make ice, and the ice-making process is required to be continuous.

[0100] The mathematical model of ice storage air conditioning system refrigeration host single ice making mode includes: variable working condition characteristic mathematical model and rated working condition characteristic mathematical model;

[0101] The mathematical model expression of variable operating condition characteristics is as follows:

[0102]

[0103] Where: is the ice production of the refrigeration unit at time t; It is the upper limit of cooling output when the refrigeration host is running; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t+1, where the value is 1 when running and 0 when stopped; is the power consumption of the refrigeration host in ice-making mode at time t; θ1 and θ2 are the operating performance factor parameters of the refrigeration host when it is running; Ω valley It is a set of low power load periods; N is the starting time of the set power load off-peak 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 control;

[0104] When only considering the refrigeration unit operating under rated conditions, the simplified rated operating characteristic mathematical model of the refrigeration unit operating under rated conditions is as follows:

[0105]

[0106] Where: is the ice production of the refrigeration unit at time t; It is the upper limit of cooling output when the refrigeration host is running; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; is the power consumption of the refrigeration unit in ice making mode at time t; COP Ice,cha The rated energy efficiency coefficient of the refrigeration unit in ice-making mode; Ω valley It is a set of low power load periods; N is the starting time of the set power load off-peak 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-carbon optimization control.

[0107] Furthermore, according to one embodiment of the present invention, the ice-storage air-conditioning system ice storage device ice melting and cooling mode is ice storage device ice melting and cooling, and the ice storage device consumes a small amount of electricity to melt ice and cool; the ice storage air-conditioning system ice storage device ice melting and cooling mode mathematical model expression is as follows:

[0108]

[0109] Where: The power consumption at time t when the ice storage device is in ice melting and cooling mode; Rated power supply for ice storage equipment in ice melting and cooling mode; is the operating state variable of the ice storage device in the ice melting and cooling mode at time t, where the value is 1 when running and 0 when stopped; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode; The upper limit of cooling capacity when the ice storage equipment melts ice and provides cooling separately; ξ Ice,dis The ice melting performance coefficient of the ice storage equipment; is the rated installed capacity of the ice storage equipment; Ω valley It is a set of low power load periods;

[0110] The mathematical model expression of the energy coupling relationship between ice storage and ice melting in ice storage equipment of ice storage air conditioning system is as follows:

[0111]

[0112] Where: is the cold storage capacity of the ice storage equipment at time t+1; is the cold storage capacity of the ice storage equipment at time t; δ loss is the cooling dissipation factor of the ice storage equipment; is the ice production of the refrigeration unit at time t+1; The cooling capacity at time t+1 when the ice storage equipment is in ice melting and cooling mode; η cha is the ice storage efficiency of the ice storage equipment; η dis is the ice melting efficiency of the ice storage equipment; Δt is the optimal operation control step length of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system; The lower limit of the cold storage capacity of the ice storage equipment; The upper limit of the cold storage capacity of the ice storage equipment; The cold storage capacity of the ice storage equipment at the beginning of the operation cycle; It is the cold storage capacity of the ice storage equipment at the end of the operation cycle; The tolerance of the cold storage capacity of the ice storage equipment at the beginning and end of the operation cycle to ensure a certain amount of cold storage capacity at the beginning of the next operation cycle; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; It is the operating state variable of the ice storage device in the ice melting and cooling mode at time t, where the value is 1 when running and 0 when stopped.

[0113] Furthermore, according to one embodiment of the present invention, in the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system, the refrigeration host and ice storage equipment work in coordination, having dual cooling functions of refrigeration and ice melting. As needed, four combined cooling modes can be selected: the ice storage air conditioning system refrigeration host priority cooling, the ice storage air conditioning system ice storage equipment priority cooling, the ice storage air conditioning system proportional cooling, and the ice storage air conditioning system flexible optimization cooling. Therefore, the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system includes: the ice storage air conditioning system refrigeration host priority cooling mathematical model, the ice storage air conditioning system ice storage equipment priority cooling mathematical model, the ice storage air conditioning system proportional cooling mathematical model, and the ice storage air conditioning system flexible optimization cooling mathematical model;

[0114] The mathematical model expression of the ice storage air conditioning system refrigeration host priority cooling mode is as follows:

[0115]

[0116] Where: is the cooling load demand of the cooling terminal at time t; Air,pri The variable is the operating state of the cooling host in the cooling mode of the refrigeration host and the ice storage device in which the cooling host prioritizes the cooling mode. The value is 1 when this mode is selected and 0 when this mode is not selected. is the cooling capacity of the refrigeration host at time t; It is the upper limit of cooling output when the refrigeration host is running; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode;

[0117] The mathematical model expression of the ice storage equipment priority cooling mode of the ice storage air conditioning system is as follows:

[0118]

[0119] Where: is the cooling load demand of the cooling terminal at time t; Ice,dis,pri The variable represents the operating status of the ice storage device in the cooling mode with priority in the cooling mode of the refrigeration host and the ice storage device. 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 ice melting and cooling mode; The upper limit of cooling capacity when melting ice for ice storage equipment and providing cooling separately; is the cooling capacity of the refrigeration host at time t;

[0120] The mathematical model expression of the proportional cooling mode of the ice storage air conditioning system is as follows:

[0121]

[0122] Where: is the cooling load demand of the cooling terminal at time t; Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and ice storage equipment. When this mode is selected, the value is 1, and when this mode is not selected, the value is 0; is the cooling capacity of the refrigeration host at time t; τ ratio The ratio coefficient of the cooling load demand between the cooling supply of the refrigeration main unit and the cooling supply of ice melting of the ice storage device in the proportional cooling mode; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode;

[0123] The mathematical model expression of the flexible optimization cooling mode of the ice storage air conditioning system is as follows:

[0124]

[0125] Where: is the cooling load demand of the cooling terminal at time t; Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. is the cooling capacity of the refrigeration host at time t; The cooling capacity at time t in the ice storage equipment melting and cooling mode.

[0126] Furthermore, according to one embodiment of the present invention, an energy-carbon synergistic optimization operation strategy for the ice storage air conditioning system in the integrated energy system is set for the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system, including:

[0127] For the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, an energy economy optimization operation strategy of the ice storage air-conditioning system in the integrated energy system and a carbon emission optimization operation strategy of the ice storage air-conditioning system in the integrated energy system are respectively set;

[0128] The optimal economic cost and corresponding carbon emissions under the energy economy optimization operation strategy of the ice storage air conditioning system in the integrated energy system are obtained. 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 of the ice storage air conditioning system in the integrated energy system and the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the energy-carbon coordinated optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set;

[0130] The mathematical model expression of the energy economy optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:

[0131]

[0132] Where: f enery,eco To optimize the energy economic cost of the ice storage air conditioning system in the integrated energy system under the energy economic optimization operation strategy within the control cycle; 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 control; is the time-of-use electricity price of the ice storage air conditioning system at time t; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and the value is 0 when this mode is not selected; π Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped;

[0133] The mathematical model expression of the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:

[0134]

[0135] Where: f enery,carb To optimize the carbon emissions of the ice storage air conditioning system in the integrated energy system under the carbon emissions optimization operation strategy within the control cycle; Δt is the total number of time periods in the operation cycle of the energy-carbon optimization control of the ice storage air-conditioning system in the integrated energy system; η trass is the comprehensive efficiency of power transmission of the power grid; η gen is the comprehensive power generation efficiency of the thermal power generating unit; carb is the carbon emission equivalent factor of standard coal; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and the value is 0 when this mode is not selected; π Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped;

[0136] The mathematical model expression of the energy-carbon coordinated optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows:

[0137]

[0138] Where: g eco,carb To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system within the control cycle under the energy-carbon coordinated optimization operation strategy; enery,eco The weight coefficient of the carbon emission optimization operation strategy; ν enery,carbThe weight coefficient of the energy economy optimization operation strategy; f enery,carb To optimize the carbon emissions of ice storage air conditioning system in integrated energy system within the control cycle under the carbon emissions optimization operation strategy; Optimal value under the carbon emission optimization operation strategy; The corresponding carbon emissions under the energy economy optimization operation strategy; f enery,eco To optimize the energy economic cost of the ice storage air conditioning system in the integrated energy system within the control cycle under the energy economic optimization operation strategy; Optimal value under energy economy optimization operation strategy; N is the energy economic cost corresponding to the carbon emission optimization operation strategy; Δt is the total number of time periods in the operation cycle of the energy-carbon optimization control of the ice storage air-conditioning system in the integrated energy system; ψ carb is the carbon emission equivalent factor of standard coal; η trass is the comprehensive efficiency of power transmission of the power grid; η gen is the comprehensive power generation efficiency of the thermal power generating unit; is the time-of-use electricity price of the ice storage air conditioning system at time t; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri π is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device. When this mode is selected, the value is 1, and when this mode is not selected, the value is 0; Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped.

[0139] Further, according to one embodiment of the present invention, the energy-carbon collaborative optimization operation strategy for regulating potential release of the ice storage air conditioning system in the integrated energy system includes: an upward adjustment power increase regulating potential release energy-carbon collaborative optimization operation strategy, and a downward adjustment power reduction regulating potential release energy-carbon collaborative optimization operation strategy;

[0140] The model expressions for upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy and downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy are set as follows:

[0141]

[0142] Where: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning system in integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of increasing power regulation potential; To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy by reducing power regulation potential; Set state variables for upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy and downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy. When set to 1, it means executing upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy; when set to 0, it means executing downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy;

[0143] When the strategy of increasing the power regulation potential to release the energy and carbon synergistic optimization operation is selected, the mathematical model expression of the strategy of increasing the power regulation potential to release the energy and carbon synergistic optimization operation is as follows:

[0144]

[0145] Where: To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of increasing power regulation potential; eco,carb To optimize the comprehensive energy-carbon benefits of ice storage air-conditioning system in integrated energy system under the energy-carbon coordinated optimization operation strategy within the control cycle; 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 control; is the cooling load demand of the cooling terminal at time t; is the cooling load demand of the cooling terminal at time t after the power reduction regulation; is the amount of potential release for increasing power regulation at time t; To increase the upper limit of the power regulation potential release at time t; is the lower limit of the power regulation potential release at time t; Ωup,adj Set of time periods for releasing potential for increasing power regulation;

[0146] When the strategy of reducing power regulation potential and releasing energy and carbon in a coordinated optimization operation is selected, the mathematical model expression of the strategy of reducing power regulation potential and releasing energy and carbon in a coordinated optimization operation is as follows:

[0147]

[0148] Where: To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of reducing power regulation potential; eco,carb To optimize the comprehensive energy-carbon benefits of ice storage air-conditioning system in integrated energy system under the energy-carbon coordinated optimization operation strategy within the control cycle; 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 control; is the cooling load demand of the cooling terminal at time t; is the cooling load demand of the cooling terminal at time t after the power reduction regulation; is the amount of power regulation potential released at time t; is to reduce the upper limit of the power regulation potential release at time t; is the lower limit of the power regulation potential release at time t; Ω down,adj A collection of time periods for releasing the potential for downward power reduction regulation.

[0149] Furthermore, according to one embodiment of the present invention, the operation startup information includes: operating performance factor parameters of the refrigeration host when it is operating, the upper limit of the cooling output when the refrigeration host is operating, the lower limit of the cooling output when the refrigeration host is operating, the machine cut-off coefficient set to avoid the refrigeration host from operating at a low load rate, a set of power load valley time periods, the rated energy efficiency coefficient of the refrigeration performance of the refrigeration host, the start time of the power load valley time period, the total number of time periods in the operation cycle of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system, the rated energy efficiency coefficient of the ice-making performance of the refrigeration host in the ice-making mode, the upper limit of the cooling capacity of the ice storage device in the ice melting and separate cooling mode, the ice melting performance coefficient of the ice storage device, the rated power supply of the ice storage device in the ice melting and separate cooling mode, the rated installed capacity of the ice storage device, the cooling dissipation factor of the ice storage device, the ice storage efficiency of the ice storage device, the ice melting efficiency of the ice storage device, and the optimized operation control of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system. Control step length, lower limit of ice storage capacity, upper limit of ice storage capacity, ice storage capacity of ice storage equipment at the beginning of the operation cycle, ice storage capacity of ice storage equipment at the end of the operation cycle, allowable deviation of ice storage capacity at the beginning and end of the operation cycle, ratio coefficient of cooling load demand borne by cooling main unit and ice storage equipment melting cooling in proportional cooling mode, time-of-use electricity price value of ice storage air-conditioning system, comprehensive efficiency of power transmission 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 increase in power regulation potential release, upper limit of increase in power regulation potential release, set of increase in power regulation potential release time, upper limit of decrease in power regulation potential release, lower limit of decrease in power regulation potential release, set of decrease in power regulation potential release time, cooling load demand of cooling terminal at each time;

[0150] The optimization control result information of the ice storage air conditioning system in the integrated energy system includes: the cooling capacity of the refrigeration host at each moment, the power consumption of the refrigeration host in the cooling mode at each moment, the operating state variables of the refrigeration host in the cooling mode at each moment, the ice making capacity of the refrigeration host at each moment, the operating state variables of the refrigeration host in the ice making mode at each moment, the power consumption of the refrigeration host in the ice making mode at each moment, the power consumption of the ice storage equipment in the ice melting and cooling mode at each moment, the cooling capacity of the ice storage equipment in the ice melting and cooling mode at each moment, the cooling capacity of the ice storage equipment at each moment, the ice making capacity of the refrigeration host in the ice making mode The operating status variables at each moment in ice mode, the operating status variables at each moment in ice storage equipment melting ice and providing cooling mode alone, the cooling capacity at each moment in ice storage equipment melting ice and providing cooling mode alone, the energy economic cost of the ice storage air-conditioning system in the integrated energy system under the energy economy optimization operation strategy during the optimization control cycle, the power consumption of the ice storage air-conditioning system in the integrated energy system under the energy economy optimization operation strategy at each moment, the operating status variables of the cooling mode with priority of the cooling host in the cooling mode jointly provided by the cooling host and the ice storage equipment, the cooling capacity of the ice storage equipment in the cooling mode jointly provided by the cooling host and the ice storage equipment The operating state variables of the mode, the operating state variables of the proportional cooling mode in the joint cooling mode of the refrigeration host and ice storage equipment, the operating state variables of the flexible optimization cooling mode in the joint cooling mode of the refrigeration host 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 optimization control cycle, the energy-carbon comprehensive benefits of the ice storage air-conditioning system in the integrated energy system under the energy-carbon coordinated optimization operation strategy during the optimization control cycle, the optimal value under the carbon emission optimization operation strategy, the corresponding carbon emissions under the energy economy optimization operation strategy, the ice storage air-conditioning system in the integrated energy system The energy economic cost during the optimization and control cycle under the energy economy optimization operation strategy, the optimal value under the energy economy optimization operation strategy, the corresponding energy economic cost under the carbon emission optimization operation strategy, the amount of power regulation potential released by increasing the power at each moment, the amount of power regulation potential released by decreasing the power at each moment, the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the optimization and control cycle under the energy-carbon coordinated optimization operation strategy of increasing the power regulation potential, and the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the optimization and control cycle under the energy-carbon coordinated optimization operation strategy of decreasing the power regulation potential.

[0151] According to the above scheme of the present invention, the present invention fully considers the key physical characteristics and operating domain characteristics of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, and establishes a more refined mathematical model of the refrigeration host, ice storage equipment and its joint cooling mode of the ice storage air-conditioning system, which is helpful for the real-time operation characteristics and real-time state refinement analysis and engineering application promotion of the ice storage air-conditioning system; the present invention comprehensively sets up the energy-carbon coordinated optimization operation strategy and the regulation potential release energy-carbon coordinated optimization operation strategy according to the actual needs of cost reduction and carbon reduction in engineering applications, effectively realizes the time transfer of energy consumption in the refrigeration process, optimizes energy supply distribution, and achieves grid-load interaction while reducing energy operating costs and carbon emissions; the present invention comprehensively considers the rated operating characteristics and variable operating characteristics of the ice storage air-conditioning system , flexibly provides a mathematical model of the joint cooling mode of the refrigeration host and ice storage equipment and an operation multi-scenario selection scheme, and at the same time provides a grid-load interactive regulation potential release energy-carbon collaborative optimization operation strategy, which improves the operation flexibility and comprehensive efficiency of the integrated energy system, and has a positive effect on promoting the sustainable use of energy and reducing environmental impact; the present invention constructs a multi-scenario refined model and energy-carbon optimization control strategy for the operation of the ice storage air-conditioning system in the integrated energy system, realizes the overall full-process scheme of data information input, model construction and calculation, scenario setting selection, operation optimization control, and optimization control result information output, which can provide reference and guidance for the operation optimization control management of the ice storage air-conditioning system in the integrated energy system, energy conservation and emission reduction analysis, grid-load interactive regulation potential mining and release, and participation in grid regulation coordinated operation analysis.

[0152] Furthermore, to achieve the above objectives, the present invention also provides an energy-carbon optimization control modeling system for an ice storage air conditioning system in an integrated energy system, comprising:

[0153] The first model building module establishes a mathematical model of the operation mode of the refrigeration host of the ice storage air-conditioning system, including a mathematical model of the ice storage air-conditioning system refrigeration host in a separate cooling mode and a mathematical model of the ice storage air-conditioning system refrigeration host in a separate ice-making mode;

[0154] The second model building module establishes a mathematical model of the operation mode of the ice storage equipment of the ice storage air conditioning system, including a mathematical model of the ice storage equipment melting ice and providing cooling separately in the ice storage air conditioning system and a mathematical model of the energy coupling change relationship between ice storage and melting in the ice storage equipment of the ice storage air conditioning system;

[0155] A third model building module is configured to establish a mathematical model of a combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system based on the mathematical model of the operation mode of the refrigeration host 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;

[0156] The first operation strategy setting module sets an energy-carbon coordinated optimization operation strategy for the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system;

[0157] The second operation strategy setting module sets an energy-carbon collaborative optimization operation strategy for releasing regulation potential of the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system, based on the operation of the energy-carbon collaborative optimization operation strategy of the ice storage air conditioning system in the integrated energy system, to form an 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 optimization 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] According to the present invention, the energy-carbon optimization control modeling system of the ice storage air-conditioning system in the above-mentioned integrated energy system can realize the energy-carbon optimization control modeling method of the 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-mentioned purpose, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, the energy-carbon optimization control modeling method of the ice storage air-conditioning system in the integrated energy system as described above is implemented.

[0161] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the energy-carbon optimization control modeling method of the ice storage air-conditioning system in the integrated energy system as described above is implemented.

[0162] Those skilled in the art will appreciate 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. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0163] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method implementation methods and will not be repeated here.

[0164] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0165] The modules described as separate components may or may not be physically separate, and 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 may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0166] In addition, each functional module in the embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0167] If the functions are implemented as software modules and sold or used as standalone products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion 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 instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the energy-saving signal transmission / reception method according to various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, ROM, RAM, a magnetic disk, or an optical disk.

[0168] The above description is merely a preferred embodiment of the present application and an illustration 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 the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this application.

[0169] It should be understood that the size of the serial numbers of each step in the content of the invention and the implementation methods of the present invention does not absolutely mean 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 implementation methods of the present invention.

Claims

1. Energy-carbon optimization control modeling method for ice storage air conditioning system in integrated energy system, characterized by: include: Establish a mathematical model of the operation mode of the refrigeration host of the ice storage air-conditioning system, including a mathematical model of the refrigeration host of the ice storage air-conditioning system in a separate cooling mode and a mathematical model of the refrigeration host of the ice storage air-conditioning system in a separate ice-making mode; Establish a mathematical model of the operation mode of ice storage equipment in ice storage air conditioning system, including a mathematical model of ice melting and independent cooling mode of ice storage equipment in ice storage air conditioning system and a mathematical model of the energy coupling change relationship between ice storage and ice melting of ice storage equipment in ice storage air conditioning system; Based on the mathematical model of the operation mode of the refrigeration host 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 host and the ice storage equipment of the ice storage air conditioning system is established; Setting an energy-carbon synergistic optimization operation strategy for the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system; On the basis of the operation of the mathematical model of the combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air-conditioning system in accordance with the energy-carbon coordinated 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 refrigeration host and the ice storage equipment of the ice storage air-conditioning system is set with the energy-carbon coordinated optimization operation strategy of the ice storage air-conditioning system in the integrated energy system to release the regulation potential of the ice storage air-conditioning system, thereby forming the ice storage air-conditioning system in the integrated energy system; Input operation startup information to the ice storage air conditioning system in the integrated energy system, and output optimization 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.

2. The energy-carbon optimization control modeling method for ice storage air conditioning system in integrated energy system according to claim 1 is characterized in that: The mathematical model of the ice storage air conditioning system refrigeration host independent cooling mode is a refrigeration host direct cooling mode, and the mathematical model of the ice storage air conditioning system refrigeration host independent cooling mode includes: a variable working condition characteristic mathematical model and a rated working condition characteristic mathematical model; The expression of the variable operating condition characteristic mathematical model is as follows: Where: is the cooling capacity of the refrigeration host at time t; is the power consumption of the refrigeration host at time t in cooling mode; θ1 and θ2 are the operating performance factor parameters of the refrigeration host when it is running; is the operating state variable of the refrigeration host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; It is the upper limit of cooling output when the refrigeration host is running; The lower limit of cooling output when the refrigeration host is running; κ Air The cut-off coefficient set to prevent the refrigeration host from running at a low load rate; Ω valley It is a set of low power load periods; The expression of the mathematical model of the rated operating condition characteristics is as follows: Where: is the cooling capacity of the refrigeration host at time t; is the power consumption of the refrigeration unit at time t in cooling mode; COP Air The rated energy efficiency coefficient of the refrigeration performance of the refrigeration host; is the operating state variable of the refrigeration host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; It is the upper limit of cooling output when the refrigeration host is running; The lower limit of cooling output when the refrigeration host is running; κ Air The cut-off coefficient set to prevent the refrigeration host from running at a low load rate; Ω valley It is a set of low power load periods; The mathematical model of the ice storage air conditioning system refrigeration host independent ice making mode is that the refrigeration host directly stores ice, and the mathematical model of the ice storage air conditioning system refrigeration host independent ice making mode includes: a mathematical model of variable working condition characteristics and a mathematical model of rated working condition characteristics; The mathematical model expression of the variable operating condition characteristic is as follows: Where: is the ice production of the refrigeration unit at time t; It is the upper limit of cooling output when the refrigeration host is running; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t+1, where the value is 1 when running and 0 when stopped; is the power consumption of the refrigeration host in ice-making mode at time t; θ1 and θ2 are the operating performance factor parameters of the refrigeration host when it is running; Ω valley It is a set of low power load periods; N is the starting time of the set power load off-peak 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 control; The mathematical model expression of the rated operating condition characteristics is as follows: Where: is the ice production of the refrigeration unit at time t; It is the upper limit of cooling output when the refrigeration host is running; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; is the power consumption of the refrigeration unit in ice making mode at time t; COP Ice,cha The rated energy efficiency coefficient of the refrigeration unit in ice-making mode; Ω valley It is a set of low power load periods; N is the starting time of the set power load off-peak 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-carbon optimization control.

3. The energy-carbon optimization control modeling method for ice storage air conditioning system in integrated energy system according to claim 1 is characterized in that: The mathematical model expression of the ice storage equipment melting ice and independent cooling mode of the ice storage air conditioning system is as follows: Where: The power consumption at time t when the ice storage device is in ice melting and cooling mode; Rated power supply for ice storage equipment in ice melting and cooling mode; is the operating state variable of the ice storage device in the ice melting and cooling mode at time t, where the value is 1 when running and 0 when stopped; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode; The upper limit of cooling capacity when melting ice for ice storage equipment and providing cooling separately; ξ Ice,dis The ice melting performance coefficient of the ice storage equipment; is the rated installed capacity of the ice storage equipment; Ω valley It is a set of low power load periods; The mathematical model expression of the coupling change relationship between ice storage and ice melting energy of the ice storage equipment of the ice storage air conditioning system is as follows: Where: is the cold storage capacity of the ice storage equipment at time t+1; is the cold storage capacity of the ice storage equipment at time t; δ loss is the cooling dissipation factor of the ice storage equipment; is the ice production of the refrigeration unit at time t+1; The cooling capacity at time t+1 when the ice storage equipment is in ice melting and cooling mode; η cha The ice storage efficiency of the ice storage equipment; η dis The ice melting efficiency of the ice storage equipment; Δt is the optimal operation control step length of the energy-carbon optimal regulation of the ice storage air-conditioning system in the integrated energy system; The lower limit of the cold storage capacity of the ice storage equipment; The upper limit of the cold storage capacity of the ice storage equipment; The cold storage capacity of the ice storage equipment at the beginning of the operation cycle; It is the cold storage capacity of the ice storage equipment at the end of the operation cycle; The tolerance of the cold storage capacity of the ice storage equipment at the beginning and end of the operation cycle to ensure a certain amount of cold storage capacity at the beginning of the next operation cycle; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; It is the operating state variable of the ice storage device in the ice melting and cooling mode at time t, where the value is 1 when running and 0 when stopped.

4. The energy-carbon optimization control modeling method for ice storage air conditioning system in integrated energy system according to claim 1 is characterized in that: The mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system includes: a mathematical model of the priority cooling supply of the refrigeration host of the ice storage air conditioning system, a mathematical model of the priority cooling supply of the ice storage equipment of the ice storage air conditioning system, a mathematical model of the proportional cooling supply of the ice storage air conditioning system, and a mathematical model of the flexible optimization cooling supply of the ice storage air conditioning system; The mathematical model expression of the ice storage air conditioning system refrigeration host priority cooling mode is as follows: Where: is the cooling load demand of the cooling terminal at time t; Air,pri The variable is the operating state of the cooling host in the cooling mode of the refrigeration host and the ice storage device in which the cooling host prioritizes the cooling mode. The value is 1 when this mode is selected and 0 when this mode is not selected. is the cooling capacity of the refrigeration host at time t; It is the upper limit of cooling output when the refrigeration host is running; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode; The mathematical model expression of the ice storage equipment priority cooling mode of the ice storage air conditioning system is as follows: Where: is the cooling load demand of the cooling terminal at time t; Ice,dis,pri The variable represents the operating status of the ice storage device in the cooling mode with priority in the cooling mode of the refrigeration host and the ice storage device. 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 ice melting and cooling mode; The upper limit of cooling capacity when melting ice for ice storage equipment and providing cooling separately; is the cooling capacity of the refrigeration host at time t; The mathematical model expression of the proportional cooling mode of the ice storage air conditioning system is as follows: Where: is the cooling load demand of the cooling terminal at time t; Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and ice storage equipment. When this mode is selected, the value is 1, and when this mode is not selected, the value is 0; is the cooling capacity of the refrigeration host at time t; τ ratio The ratio coefficient of the cooling load demand between the cooling supply of the refrigeration main unit and the cooling supply of ice melting of the ice storage device in the proportional cooling mode; The cooling capacity at time t when the ice storage equipment is in ice melting and cooling mode; The mathematical model expression of the flexible optimization cooling mode of the ice storage air conditioning system is as follows: Where: is the cooling load demand of the cooling terminal at time t; Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and ice storage equipment. The value is 1 when this mode is selected and 0 when this mode is not selected. is the cooling capacity of the refrigeration host at time t; The cooling capacity at time t in the ice storage equipment melting and cooling mode.

5. The energy-carbon optimization control modeling method for ice storage air conditioning system in integrated energy system according to claim 1 is characterized in that: For the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system, an energy-carbon coordinated optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set, including: For the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air-conditioning system, an energy economy optimization operation strategy of the ice storage air-conditioning system in the integrated energy system and a carbon emission optimization operation strategy of the ice storage air-conditioning system in the integrated energy system are respectively set; The optimal economic cost and corresponding carbon emissions under the energy economy optimization operation strategy of the ice storage air conditioning system in the integrated energy system are obtained. 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 of the ice storage air conditioning system in the integrated energy system and the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system, the energy-carbon coordinated optimization operation strategy of the ice storage air conditioning system in the integrated energy system is set; The mathematical model expression of the energy economy optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows: Where: f enery,eco To optimize the energy economic cost of the ice storage air conditioning system in the integrated energy system under the energy economic optimization operation strategy within the control cycle; 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 control; is the time-of-use electricity price of the ice storage air conditioning system at time t; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri π is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device. When this mode is selected, the value is 1, and when this mode is not selected, the value is 0; Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; The mathematical model expression of the carbon emission optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows: Where: f enery,carb To optimize the carbon emissions of the ice storage air conditioning system in the integrated energy system under the carbon emissions optimization operation strategy within the control cycle; Δt is the total number of time periods in the operation cycle of the energy-carbon optimization control of the ice storage air-conditioning system in the integrated energy system; η trass is the comprehensive efficiency of power transmission of the power grid; η gen is the comprehensive power generation efficiency of the thermal power generating unit; carb is the carbon emission equivalent factor of standard coal; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and the value is 0 when this mode is not selected; π Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped; The mathematical model expression of the energy-carbon coordinated optimization operation strategy of the ice storage air conditioning system in the integrated energy system is as follows: Where: g eco,carb To optimize the comprehensive energy and carbon benefits of the ice storage air conditioning system in the integrated energy system within the control cycle under the energy and carbon coordinated optimization operation strategy; enery,eco The weight coefficient of the carbon emission optimization operation strategy; ν enery,carb The weight coefficient of the energy economy optimization operation strategy; f enery,carb To optimize the carbon emissions of ice storage air conditioning system in integrated energy system within the control cycle under the carbon emissions optimization operation strategy; Optimal value under the carbon emission optimization operation strategy; The corresponding carbon emissions under the energy economy optimization operation strategy; f enery,eco To optimize the energy economic cost of the ice storage air conditioning system in the integrated energy system within the control cycle under the energy economic optimization operation strategy; Optimal value under energy economy optimization operation strategy; N is the energy economic cost corresponding to the carbon emission optimization operation strategy; Δt is the total number of time periods in the operation cycle of the energy-carbon optimization control of the ice storage air-conditioning system in the integrated energy system; ψ carb is the carbon emission equivalent factor of standard coal; η trass is the comprehensive efficiency of power transmission of the power grid; η gen is the comprehensive power generation efficiency of the thermal power generating unit; is the time-of-use electricity price of the ice storage air conditioning system at time t; is 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; is the power consumption of the refrigeration unit in cooling mode at time t; is the power consumption of the refrigeration unit in ice-making mode at time t; The power consumption at time t when the ice storage equipment is in ice melting and cooling mode; π Air,pri π is the operating state variable of the cooling host priority cooling mode in the cooling host and ice storage equipment joint cooling mode, where the value is 1 when this mode is selected and 0 when this mode is not selected; Ice,dis,pri π is the operating state variable of the ice storage device priority cooling mode in the joint cooling mode of the refrigeration host and the ice storage device. When this mode is selected, the value is 1, and when this mode is not selected, the value is 0; Equ,pro is the operating state variable of the proportional cooling mode in the combined cooling mode of the refrigeration host and the ice storage device, where the value is 1 when this mode is selected and 0 when this mode is not selected; π Flex It is an operating state variable for flexibly optimizing the cooling mode in the combined cooling mode of the refrigeration host and 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 host at time t when in cooling mode, where it takes the value 1 when running and the value 0 when stopped; is the operating state variable of the refrigeration host in ice-making mode at time t, where the value is 1 when running and 0 when stopped.

6. The energy-carbon optimization control modeling method for ice storage air conditioning system in integrated energy system according to claim 1 is characterized in that: The energy-carbon synergistic optimization operation strategy for regulating potential of the ice storage air conditioning system in the integrated energy system includes: upward regulation of power increase regulating potential releasing energy-carbon synergistic optimization operation strategy, downward regulation of power reduction regulating potential releasing energy-carbon synergistic optimization operation strategy; The model expressions for the upward adjustment of the power regulation potential to release the energy-carbon coordinated optimization operation strategy and the downward adjustment of the power regulation potential to release the energy-carbon coordinated optimization operation strategy are set as follows: Where: To optimize the comprehensive energy and carbon benefits of ice storage air conditioning system in integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of increasing power regulation potential; To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy by reducing power regulation potential; Set state variables for upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy and downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy. When set to 1, it means executing upward adjustment of power increase regulation potential to release energy-carbon coordinated optimization operation strategy; when set to 0, it means executing downward adjustment of power reduction regulation potential to release energy-carbon coordinated optimization operation strategy; When the strategy of increasing the power regulation potential to release the energy and carbon synergistic optimization operation is selected, the mathematical model expression of the strategy of increasing the power regulation potential to release the energy and carbon synergistic optimization operation is as follows: Where: To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of increasing power regulation potential; eco,carb To optimize the comprehensive energy-carbon benefits of ice storage air-conditioning system in integrated energy system under the energy-carbon coordinated optimization operation strategy within the control cycle; 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 control; is the cooling load demand of the cooling terminal at time t; is the cooling load demand of the cooling terminal at time t after the power reduction regulation; is the amount of potential release for increasing power regulation at time t; To increase the upper limit of the power regulation potential release at time t; is the lower limit of the power regulation potential release at time t; Ω up,adj Set of time periods for releasing potential for increasing power regulation; When the strategy of reducing power regulation potential and releasing energy and carbon in a coordinated optimization operation is selected, the mathematical model expression of the strategy of reducing power regulation potential and releasing energy and carbon in a coordinated optimization operation is as follows: Where: To optimize the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the regulation cycle under the energy-carbon coordinated optimization operation strategy of reducing power regulation potential; eco,carb To optimize the comprehensive energy-carbon benefits of ice storage air-conditioning system in integrated energy system under the energy-carbon coordinated optimization operation strategy within the control cycle; 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 control; is the cooling load demand of the cooling terminal at time t; is the cooling load demand of the cooling terminal at time t after the power reduction regulation; is the amount of power regulation potential released at time t; is to reduce the upper limit of the power regulation potential release at time t; is the lower limit of the power regulation potential release at time t; Ω down,adj A collection of time periods for releasing the potential for downward power reduction regulation.

7. The energy-carbon optimization control modeling method for an ice storage air conditioning system in an integrated energy system according to any one of claims 1 to 6, characterized in that: The operation startup information includes: operating performance factor parameters of the refrigeration host when it is running, the upper limit of the cooling output when the refrigeration host is running, the lower limit of the cooling output when the refrigeration host is running, the machine cutting coefficient set to avoid the refrigeration host from running at a low load rate, the set of power load low valley time periods, the rated energy efficiency coefficient of the refrigeration performance of the refrigeration host, the start time of the power load low valley time period, the total number of time periods in the operation cycle of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system, the rated energy efficiency coefficient of the ice-making performance of the refrigeration host in the ice-making mode, the upper limit of the cooling capacity of the ice storage device in the ice melting and cooling mode, the ice melting performance coefficient of the ice storage device, the rated power supply of the ice storage device in the ice melting and cooling mode, the rated installed capacity of the ice storage device, the cooling dissipation factor of the ice storage device, the ice storage efficiency of the ice storage device, the ice melting efficiency of the ice storage device, the optimized operation control step of the energy-carbon optimization regulation of the ice storage air-conditioning system in the integrated energy system, and the ice storage device. The lower limit of cooling capacity, the upper limit of cooling capacity of ice storage equipment, the cooling capacity of ice storage equipment at the beginning of the operation cycle, the cooling capacity of ice storage equipment at the end of the operation cycle, the allowable deviation of cooling capacity of ice storage equipment at the beginning and end of the operation cycle, the ratio coefficient of cooling load demand borne by cooling main unit and ice storage equipment melting cooling in proportional cooling mode, the time-of-use electricity price value of ice storage air-conditioning system, the comprehensive efficiency of power transmission of power grid, the comprehensive power generation efficiency of thermal power generating units, the carbon emission equivalent factor of standard coal, the weight coefficient of carbon emission optimization operation strategy, the weight coefficient of energy economy optimization operation strategy, the upper limit of increasing power regulation potential release, the lower limit of increasing power regulation potential release, the set of increasing power regulation potential release time periods, the upper limit of decreasing power regulation potential release, the lower limit of decreasing power regulation potential release, the set of decreasing power regulation potential release time periods, and the cooling load demand of cooling terminals at various times; The optimization control result information of the ice storage air conditioning system in the integrated energy system includes: the cooling capacity of the refrigeration host at each moment, the power consumption of the refrigeration host in the cooling mode at each moment, the operating state variables of the refrigeration host in the cooling mode at each moment, the ice making capacity of the refrigeration host at each moment, the operating state variables of the refrigeration host in the ice making mode at each moment, the power consumption of the refrigeration host in the ice making mode at each moment, the power consumption of the ice storage device in the ice melting and cooling mode at each moment, the cooling capacity of the ice storage device in the ice melting and cooling mode at each moment, the cooling capacity of the ice storage device at each moment, the cooling capacity of the refrigeration host The operating state variables at each moment in ice-making mode, the operating state variables at each moment in ice storage equipment melting ice and cooling mode, the cooling capacity at each moment in ice storage equipment melting ice and cooling mode, the energy economic cost of the ice storage air-conditioning system in the integrated energy system under the energy economy optimization operation strategy during the optimization control cycle, the power consumption of the ice storage air-conditioning system in the integrated energy system under the energy economy optimization operation strategy at each moment, the operating state variables of the cooling mode with priority of the cooling host in the cooling mode jointly supplied by the refrigeration host and the ice storage equipment, the cooling capacity of the ice storage equipment in the cooling mode jointly supplied by the refrigeration host and the ice storage equipment The operating state variables of the cooling mode, the operating state variables of the proportional cooling mode in the joint cooling mode of the refrigeration host and ice storage equipment, the operating state variables of the flexible optimization cooling mode in the joint cooling mode of the refrigeration host 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 optimization control cycle, the energy-carbon comprehensive benefits of the ice storage air-conditioning system in the integrated energy system under the energy-carbon coordinated optimization operation strategy during the optimization control cycle, the optimal value under the carbon emission optimization operation strategy, the corresponding carbon emissions under the energy economy optimization operation strategy, the ice storage air-conditioning system in the integrated energy system The energy economic cost during the optimization control cycle under the energy economy optimization operation strategy, the optimal value under the energy economy optimization operation strategy, the corresponding energy economic cost under the carbon emission optimization operation strategy, the amount of power regulation potential released at each moment, the amount of power regulation potential released at each moment, the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the optimization control cycle under the energy-carbon coordinated optimization operation strategy of releasing power regulation potential by increasing power, and the comprehensive energy-carbon benefits of the ice storage air-conditioning system in the integrated energy system during the optimization control cycle under the energy-carbon coordinated optimization operation strategy of releasing power regulation potential by decreasing power.

8. Energy-carbon optimization control modeling system for ice storage air conditioning system in integrated energy system, characterized by: include: The first model building module establishes a mathematical model of the operation mode of the refrigeration host of the ice storage air-conditioning system, including a mathematical model of the ice storage air-conditioning system refrigeration host in a separate cooling mode and a mathematical model of the ice storage air-conditioning system refrigeration host in a separate ice-making mode; The second model building module establishes a mathematical model of the operation mode of the ice storage equipment of the ice storage air conditioning system, including a mathematical model of the ice storage equipment melting ice and providing cooling separately in the ice storage air conditioning system and a mathematical model of the energy coupling change relationship between ice storage and melting in the ice storage equipment of the ice storage air conditioning system; A third model building module is configured to establish a mathematical model of a combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system based on the mathematical model of the operation mode of the refrigeration host 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; The first operation strategy setting module sets an energy-carbon coordinated optimization operation strategy for the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and ice storage equipment of the ice storage air conditioning system; The second operation strategy setting module sets an energy-carbon collaborative optimization operation strategy for releasing regulation potential of the ice storage air conditioning system in the integrated energy system for the mathematical model of the combined cooling mode of the refrigeration host and the ice storage equipment of the ice storage air conditioning system, based on the operation of the energy-carbon collaborative optimization operation strategy of the ice storage air conditioning system in the integrated energy system, to form an 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 optimization 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.

9. An electronic device, characterized in that The invention comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the method for optimizing the control and modeling of the energy-carbon of the ice storage air-conditioning system in the integrated energy system as described in any one of claims 1 to 7 is realized.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for optimizing the control and modeling of the ice-storage air-conditioning system in the integrated energy system according to any one of claims 1 to 7 is implemented.

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