A comprehensive energy and production load coordinated low-carbon economic dispatch method for auto parts parks

Abstract

The application discloses a kind of comprehensive energy and production load collaborative low-carbon economic dispatching methods for auto parts park, belong to comprehensive energy system operation control and energy management technical field.The present application first establishes the adjustable capacity model of auto parts workshop equipment load, forms the production side constraint set that can be directly used for optimization solution, so that production load participates in dispatching as decision-making resource;Second, the operation and coupling model of park multi-energy system is established, the complete supply-demand balance relationship and equipment operation constraint are formed;While constructing carbon emission quantification and apportioning mechanism under multi-energy coupling condition, carbon emission and one-source multi-supply energy output such as combined heat and power are uniformly accounted and distributed, so that carbon emission can be traced back to corresponding with equipment output and energy flow path;Finally, with operation cost and carbon cost collaborative minimum as target, construct energy and production joint optimization model and solve, so as to realize park low-carbon economic operation while ensuring production feasibility, with good engineering application value.

Description

Technical Field

[0001] This invention belongs to the field of integrated energy system operation control and energy management technology, specifically relating to a low-carbon economic scheduling method for integrated energy and production load coordination in auto parts industrial parks. Background Technology

[0002] Existing integrated energy park scheduling typically integrates multiple energy forms such as electricity, heat, cooling, gas, and energy storage, with operational economics as the primary objective. It coordinates and optimizes equipment such as purchased electricity, purchased gas, combined cooling, heating and power (CCHP), boilers, refrigeration and heating devices, and energy storage while meeting energy demand. However, existing research largely remains at the general park level, often using simplified representations of aggregated or fixed demand on the load side, failing to delve into the specific scenarios of manufacturing parks such as auto parts parks. This lack of detailed characterization of the formation mechanism and adjustability of production loads is insufficient. Auto parts parks, characterized by order-driven processes, discrete multi-process operations, frequent equipment start-ups and shutdowns, strong organizational constraints, and significant load fluctuations, offer adjustable capacity on the production side that can be released through production scheduling and start-up / shutdown control, making it difficult to effectively incorporate these into scheduling decisions. Simultaneously, park objectives are gradually shifting towards a balance between economic efficiency and low carbon emissions. However, existing methods often rely on post-hoc accounting or additional constraints for carbon emissions, lacking a unified quantification and allocation mechanism under multi-energy coupling and chain-like energy conversion conditions, making it difficult to effectively guide equipment output allocation and energy flow path selection. Therefore, there is an urgent need for a low-carbon scheduling method that is geared towards auto parts industrial parks, and that integrates energy systems and production loads into a unified model and collaborative optimization. Summary of the Invention

[0003] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0004] In view of the problems existing in the above and / or prior art, the present invention is proposed.

[0005] Therefore, the purpose of this invention is to overcome the shortcomings of the prior art and provide a method for integrated energy and production load coordination and low-carbon economic scheduling for auto parts industrial parks.

[0006] To address the aforementioned technical problems, this invention provides the following technical solutions: obtaining the adjustable operating boundary of production load and energy system operating parameters; constructing a multi-energy system coupling network and a carbon emission mechanism; based on the adjustable operating boundary of production load and the multi-energy system coupling network, constructing a collaborative scheduling strategy with the goal of optimizing both operating costs and carbon emission costs; and outputting external energy purchase plans, equipment output strategies, and production operation plans for each time period to achieve coordinated operation of industrial park production demand and energy supply.

[0007] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, the step of obtaining the adjustable operating boundary of the production load includes: using the number of operating equipment and operating power as time-series decision variables, forming a set of production-side constraints under the conditions of meeting production completion, personnel organization capacity, and start-stop smoothness constraints, so that the production load participates in scheduling as a decisionable resource, thereby obtaining the production power demand. , in, Indicates the time period The internal production power demand, Indicating process Next Such devices during time periods Total power consumption within the facility.

[0008] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, wherein: the production-side constraints include,

[0009] Equipment operating number constraint: , in, Indicates the time period Internal, process The Middle The number of production equipment that are turned on. Indicating process Next Maximum number of devices that can be configured; The operating power of the equipment and the number of units in operation must satisfy a consistency constraint: , in, Indicating process Next Such devices during time periods Total power consumption within the room This indicates the minimum stable operating power of this type of equipment. This indicates its maximum stable operating power; The material state evolution and constraints between adjacent processing stages or equipment types are as follows: , in, This represents the variable indicating work-in-process inventory. Indicating process The Middle Such devices during time periods The amount of processing output completed within the period; The cumulative production constraint is: , in, Indicates the first The last type of equipment in this type of process During the period production, Indicates the first Order demand for similar processes; Personnel organizational capacity constraints are represented as follows: , in, Indicates time period Number of available workers within, The maximum number of devices that a worker can operate simultaneously; The start-stop smoothing constraint is expressed as: , in, and Each is a process Next The upper limit of the increase and decrease in the number of devices of the same type operating within adjacent time periods.

[0010] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, wherein: the construction of a multi-energy system coupling network includes, Establish output boundaries, efficiency relationships, and energy state evolution for purchased electrical equipment, combined cooling, heating and power, waste heat recovery, absorption refrigeration, electric refrigeration, electric heating, gas boilers, and energy storage devices, and establish supply and demand balance constraints for multi-energy electrical, heating, cooling, and gas subsystems.

[0011] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, the establishment of supply and demand balance constraints for multi-energy electricity, heat, cooling, and gas subsystems includes: The balance relationship of the electrical energy subsystem is expressed as follows: , in, For externally purchased power; Output power to combined cooling, heating and power equipment; Contribute to renewable energy; , These refer to the discharge power and charging power of the energy storage system, respectively. , These are the input electrical power for electric refrigeration equipment and electric heating equipment, respectively. By introducing... and with Unified as total load , , The energy balance relationship of the thermal subsystem can be expressed as: , in, The usable heat power recovered by waste heat boilers / heat exchangers; Output heat power for electric boilers / electric heating equipment; This is to output heat power for the gas-fired boiler; , These represent the heat release power and heat charging power of the thermal energy storage device, respectively. The energy balance relationship of the cold energy subsystem can be expressed as: , in, This refers to the cooling capacity of the absorption chiller. The cooling capacity of the electric chiller; , These represent the cold energy release capacity and cold energy storage capacity of the cold energy storage device, respectively. This cold energy balance relationship ensures a stable supply of cooling load to the industrial park. The equilibrium relationship of the gas-energy subsystem is expressed as follows: , in, Indicates time period The total amount of natural gas purchased from external gas networks and consumed within the park; Indicates time period Natural gas consumption of combined cooling, heating and power (CCHP) equipment; Indicates time period Natural gas consumption of gas-fired boilers.

[0012] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, the carbon emission mechanism includes: establishing a carbon emission quantification and allocation model under multi-energy coupling conditions, using purchased electricity and natural gas consumption as the input emission collection caliber, and realizing carbon emission allocation and traceability correspondence according to the proportion of chain energy flows such as combined heat and power generation and multiple supply sources and heat-driven refrigeration.

[0013] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, the carbon emission allocation model includes allocating the carbon emissions generated by the combined cooling, heating and power equipment consuming natural gas to the electricity side and the heat side according to the ratio of its concurrent electricity output power to heat output power. Carbon emissions from the thermal energy side are redistributed to the heating and cooling ends based on the ratio of thermal power used for direct heating to that used for driving absorption refrigeration, thereby obtaining the equivalent carbon emission intensity of the absorption refrigeration capacity.

[0014] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, the carbon emission quantification model at the input end is expressed as follows: , in, Carbon emission coefficient per unit of purchased electricity for a given time period; Carbon emission intensity per unit of natural gas consumption, time period Purchased power is The consumption of purchased natural gas is ; A carbon emission allocation mechanism is constructed based on the proportion of energy output power, and the carbon emissions from natural gas consumed by combined cooling, heating and power (CCHP) equipment are allocated at the primary level: , in, For time period Natural gas consumption within the area Carbon emissions from natural gas consumption in combined cooling, heating and power (CCHP) equipment; The carbon emissions allocated to the electricity and heat sides are expressed as follows: , in, Indicates time period The carbon emissions of internal cooling combined heat and power equipment allocated to the electricity side, Indicates time period The carbon emissions allocated to the heat energy side of internal cooling combined heat and power equipment. Indicates time period The output power of the combined cooling and heating power supply, Indicates time period The combined cooling and heating power output; When the combined cooling, heating and power equipment outputs heat energy from the heat energy side When used for both park heating and driving absorption refrigeration, constraints should be established for the allocation of thermal energy usage: , in, For time period The heat power available for distribution from the internal cooling combined heat and power equipment via waste heat recovery devices, used to meet the park's heat load demand, corresponds to the following: The input thermal power used to drive the absorption refrigeration equipment is .

[0015] The carbon emissions from the heat energy side are then redistributed to the absorption cooling and heating ends according to the heat power distribution ratio. , , Among them, the carbon emission time period corresponding to the heat energy side of combined cooling, heating and power equipment. The heat power that can be distributed by the internal cooling combined heat and power equipment through the waste heat recovery device is: The heat power used to meet the park's heat load demand corresponds to... The input thermal power used to drive the absorption refrigeration equipment is .

[0016] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, wherein: the coordinated scheduling strategy aimed at optimizing both operating costs and carbon emission costs is constructed, and the energy and production coordinated scheduling optimization model is expressed as follows: , in, and Time periods The prices of electricity and gas purchased, For energy equipment The unit operation and maintenance cost coefficient, This is the carbon cost coefficient. This represents the carbon emissions at the input end during a given time period.

[0017] As a preferred embodiment of the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks described in this invention, the constraints of the energy and production coordinated scheduling optimization model include: production-side constraints, energy equipment operation constraints, multi-energy subsystem energy balance constraints, and carbon emission quantification relationships.

[0018] Another objective of this invention is to overcome the shortcomings of the prior art and provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize a method for coordinated low-carbon economic scheduling of integrated energy and production load for auto parts industrial parks.

[0019] Beneficial effects of this invention: (1) This invention describes the unique production constraints of the auto parts park, such as order-driven, multi-process discrete, frequent equipment start-up and shutdown, and personnel organization capability constraints. It models the production load as an adjustable flexible resource and optimizes it in conjunction with multi-energy equipment such as combined cooling, heating and power supply and energy storage. Under the premise of ensuring order delivery and production feasibility, it reduces the overall energy cost of the park.

[0020] (2) This invention establishes a low-carbon scheduling model for auto parts industrial parks. Based on the carbon emission quantification and allocation mechanism under multi-energy coupling conditions, it incorporates carbon emission factors into the comprehensive energy and production load optimization process of the park. Under the premise of meeting the production and operation needs, it realizes the low-carbon and environmentally friendly operation of the park's multi-energy system and significantly reduces the carbon emission level of the park. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a flowchart illustrating the method of the present invention. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the examples in the specification.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Example 1

[0026] This embodiment provides a method for integrated energy and production load coordinated low-carbon scheduling in auto parts industrial parks, referring to... Figure 1 Specifically: S1: Modeling the Adjustable Production Load Capacity of Auto Parts Industrial Park

[0027] Auto parts industrial parks, centered on automotive parts production, typically consist of multiple processing steps including stamping, cold heading and extrusion, heat treatment, welding, and machining. Each step can be equipped with various types of production equipment operating in parallel. Material connections between different steps are achieved through finished goods or intermediate storage. The production organization is characterized by order-driven processes, discrete parallel operations, frequent equipment start-ups and shutdowns, and constraints imposed by personnel organizational capabilities, giving the production power load adjustable over time. This step aims to transform the energy consumption on the production side of the auto parts industrial park from a fixed load demand into a decision-making resource that can participate in collaborative scheduling. Under the premise of meeting production completion and production organization feasibility, it characterizes the time-series adjustable capability of equipment start-ups and shutdowns and power consumption under multi-step conditions, and forms a production load expression that can be directly coupled with subsequent integrated energy system power balance and low-carbon scheduling models.

[0028] Let the scheduling period be discrete into a set of time periods. ,in The auto parts production process is divided into a set of processes, representing discrete time periods within the scheduling cycle. For any process It is equipped with various types of production equipment, and the set of equipment types is denoted as . Define the core decision variables on the production side as follows: , indicating the time period Internal, process The Middle The number of production equipment that are in operation.

[0029] To ensure the physical feasibility of production scheduling decisions and the discrete nature of equipment start-up and shutdown, the number of operating equipment units must meet the following constraints: , in, Indicating process Next Maximum number of devices that can be configured.

[0030] Further definition Indicating process Next Such devices during time periods Total power consumption within the facility. The operating power of the equipment and the number of units in operation must meet a consistency constraint: , in, This indicates the minimum stable operating power of this type of equipment. This indicates its maximum stable operating power.

[0031] Under the assumption of a two-state operation with approximately fixed equipment operating power, the above constraints can be further simplified to: , This expression abstracts the operating state of equipment into two states: "on" and "off". This makes the adjustability of production load mainly reflected in the temporal changes in the number of equipment on, which helps to reduce model complexity and improve scheduling solution efficiency.

[0032] To achieve a consistent mapping between production energy consumption and output accounting, output variables at the process equipment level are introduced. , indicating process The Middle Such devices during time periods The processing output completed within the specified timeframe. Assume... To represent the processing capacity of this type of equipment per unit time period, we have: , To ensure the orderly connection of materials in various processes during auto parts production, a variable for intermediate work-in-process storage is introduced. Used to describe the process The evolution of material state between adjacent processing stages or equipment types. Its dynamic evolution relationships and constraints are as follows: , It must also satisfy the nonnegativity constraint: , The above constraints are used to ensure that the output of subsequent processing stages does not exceed the amount of available materials in the preceding stages, thereby avoiding production scheduling results that do not conform to the actual production logic.

[0033] Under order-driven production organization, to ensure that the order demands corresponding to various processes are met within the scheduling cycle, constraints need to be set on the cumulative output of the production system. Let... Indicates the first The last type of equipment in this type of process During the period The output of [the resource] is subject to the following cumulative output constraint: , in, Indicates the first The order demand for each type of process. The above constraints are used to characterize the delivery requirements of the production system in the time dimension, ensuring that the final output of each type of process can meet the delivery target driven by orders, while allowing for flexible adjustment of production load, and providing the necessary production-side feasibility boundary for the subsequent coordinated optimization of production load and energy scheduling.

[0034] The adjustment of production load in the auto parts industrial park must also meet the limitations of on-site personnel organization capabilities. (Time period settings) The number of available workers is The maximum number of devices a single worker can operate simultaneously is [number missing]. Then the total number of devices allowed to operate at the same time period must meet the following requirements: , This constraint ensures the feasibility of the production scheduling plan at the staffing level, and is especially suitable for production organization scenarios during night shifts or periods with low staffing.

[0035] To avoid the adverse effects of frequent equipment start-ups and shutdowns on equipment lifespan and process stability, a smoothing constraint is applied to the variation in the number of operating equipment units within adjacent time periods. (The process is described below.) Next The upper limit for the increase and decrease in the number of devices of this type operating within adjacent time periods are respectively and Then it must satisfy: , This constraint helps improve the timing continuity of production scheduling and reduces the rapid tracking pressure on energy-side equipment during collaborative scheduling.

[0036] Based on the above modeling, the power demand for production in the auto parts industrial park during each scheduling period can be obtained, which can then be used as input for the subsequent integrated energy system power balance and low-carbon coordinated scheduling model. , This enables unified modeling between production-side scheduling decisions and energy-side supply and demand balance, operating costs, and carbon emission accounting, providing an executable production-side constraint basis for the coordinated low-carbon scheduling of integrated energy and production loads.

[0037] S2: Modeling of Energy Equipment Operating Characteristics and Constraints

[0038] In view of the diverse types and significant differences in operating characteristics of energy equipment within integrated energy parks, this invention provides a unified model for the operating characteristics and constraints of typical energy equipment within the park. Energy equipment includes power generation equipment, energy conversion equipment, and energy storage equipment; each type of equipment is constrained by factors such as output range, efficiency characteristics, and operating status during operation.

[0039] Combined cooling, heating and power (CCHP) equipment takes primary energy sources such as natural gas as input and outputs electrical energy, heat energy and cooling energy at the same time. Its operating characteristics can be expressed as the conversion relationship between input energy and various output energies.

[0040] , , , In the formula: Indicates time period Natural gas consumption of internal cooling combined heat and power equipment; This indicates the actual output electrical power of the micro gas turbine; This indicates the rated electrical power of the micro gas turbine; LHV represents the lower heating value of natural gas. This is expressed as the waste heat power of high-temperature flue gas; Expressed as gas turbine efficiency; This is expressed as heat loss efficiency. To ensure feasible operation of the equipment, the electrical power output of the CCHP must meet the output boundary constraints: , The waste heat from the high-temperature flue gas generated by the combined cooling, heating, and power (CCHP) equipment is recovered through a waste heat boiler or heat exchanger for heating or as a cooling input. The usable thermal power can then be expressed as: , in, Indicates time period Heat power recovered and utilized by waste heat boilers; This refers to the heat recovery efficiency of a waste heat boiler or heat exchanger.

[0041] The heat output of the waste heat boiler must meet the capacity constraint: , When the park is equipped with absorption refrigeration equipment, it uses waste heat as input energy and outputs cooling energy. Its operating characteristics can be expressed as follows: , in, This refers to the cooling capacity of the absorption chiller. The input thermal power; This is the coefficient of performance for an absorption chiller.

[0042] The operation of absorption refrigeration equipment must simultaneously meet the constraints of the equipment's own capacity and the system's waste heat supply: , , , Through the above modeling, a multi-energy supply chain description of "gas-electricity-heat-cooling" was realized, in which gas input is converted into power generation, waste heat recovery and absorption refrigeration in stages.

[0043] Secondly, for electrically driven energy conversion devices, this invention establishes operating models for both electric cooling and electric heating. Taking an electric chiller as an example, its cooling power and input electrical power satisfy the following: , , in, Let be the coefficient of performance (COP) of the electric chiller. For electric boilers / electric heating equipment, the heating power and input electrical power satisfy the following: , , in, The energy conversion efficiency of the electric boiler is defined by this model. This model is used to characterize the key coupling channels between electricity and cooling, and between electricity and heating, and to define their operating boundaries.

[0044] In addition, to enhance heating security, the park can be equipped with gas-fired boilers as supplementary or backup heating equipment. Assume the thermal efficiency of the gas-fired boiler is... Time period The natural gas consumption of the internal combustion engine boiler is Then its heating power satisfies: , And meet the gas consumption and heat output boundaries: , Furthermore, in order to improve the park's adaptability to fluctuations in renewable energy and load, this invention establishes a state evolution and power constraint model for energy storage devices.

[0045] First, establish an energy storage model, assuming it exists during a specific time period. The state of charge is The charging and discharging powers are respectively and Then its state evolution relationship is: , And meet capacity and power constraints: , , , Meanwhile, to avoid simultaneous charging and discharging, the energy storage system must meet the mutual exclusion constraint of charging and discharging.

[0046] The following establishes a thermal energy storage model, which is described using an energy evolution relationship isomorphic to that of electrical energy storage, and the energy state of thermal energy storage. The following relationship must be satisfied: , And satisfy capacity boundary constraints: , And charge / discharge power boundary constraints: , , It is used to realize the transfer of thermal energy in the time dimension and to smooth out peaks and fill valleys.

[0047] The following establishes a cold energy storage model, which is described using an energy evolution relationship isomorphic to that of electrical and thermal energy storage. The energy state of cold energy storage... The following relationship must be satisfied: , And satisfy capacity boundary constraints: , And charge / discharge power boundary constraints: , , It is used to move cold energy over time and to smooth out peaks and valleys.

[0048] Finally, to describe the interaction boundary between the park and the external energy network, this invention sets variables for purchased electricity and purchased gas and applies boundary constraints, namely: , , in, For purchased power, This represents the consumption of purchased natural gas. Through the above-mentioned equipment-level operational characteristics and constraint modeling, a unified characterization of key energy supply and conversion links within the park has been achieved, providing a set of directly usable basic constraints for subsequent multi-energy system structure and energy coupling modeling, as well as the construction and solution of low-carbon economic collaborative scheduling optimization models.

[0049] S3: Multi-energy system structure and energy coupling modeling

[0050] Based on the modeling of the operating characteristics and constraints of various energy devices within the park, this invention further constructs a multi-energy system structure and energy coupling model for integrated energy parks to characterize the energy flow relationships between different energy carriers and the collaborative operation characteristics at the system level. The multi-energy system structure model describes the energy transfer paths and coupling relationships of different energy subsystems such as electricity, heat, cooling, and gas within a unified scheduling cycle, and uses energy balance equations to correlate the operating states of various energy devices at the system level.

[0051] Firstly, at the power subsystem level, the park's power sources include electricity purchased from the external grid, power generation from combined cooling, heating and power (CCHP) equipment, renewable energy generation, and discharge from energy storage systems. Power consumption includes the park's basic power load, the power load from auto parts production, and charging of electric refrigeration equipment, electric heating equipment, and energy storage systems. To ensure consistency in load definitions, time periods are defined. The total electrical load of the industrial park is the sum of the basic load and the production load, i.e.: , Among them, the basic load This represents the rigid electricity demand in office, auxiliary, and non-production sectors, as well as the production load. Consistent with the definition in S1.

[0052] Based on the above definition, the power balance relationship of the electrical subsystem can be expressed as: , in, For externally purchased power; Output power to combined cooling, heating and power equipment; Contribute to renewable energy; , These refer to the discharge power and charging power of the energy storage system, respectively. , These are the input electrical power for electric refrigeration equipment and electric heating equipment, respectively. By introducing... and with Unified as total load This enables adjustable loads on the production side to directly participate in system-level power balance, thereby achieving joint optimization of energy output and production scheduling within the same framework.

[0053] Secondly, at the thermal energy subsystem level, the park's heat load is mainly provided by waste heat recovery from combined cooling, heating and power (CCHP) equipment, electric boilers, and gas-fired boilers, and can be regulated through thermal energy storage devices. Assume the park is in a certain time period... The heat load requirement is The energy balance relationship of the thermal subsystem can then be expressed as: , in, The usable heat power recovered by waste heat boilers / heat exchangers; Output heat power for electric boilers / electric heating equipment; This is to output heat power for the gas-fired boiler; , These represent the heat release power and heat charge power of the thermal energy storage device, respectively. This heat balance equation is used to ensure that the park's heat load demand is met during any given scheduling period.

[0054] Secondly, at the cold energy subsystem level, the park's cooling load can be provided by both absorption chillers and electric chillers, and can be regulated through cold energy storage devices. Assume the park is in a certain time period... The cooling load requirement is The energy balance relationship of the cold energy subsystem can be expressed as: , in, This refers to the cooling capacity of the absorption chiller. The cooling capacity of the electric chiller; , These represent the cooling output power and cooling storage power of the cold energy storage device, respectively. Through this cold energy balance relationship, a stable supply of cooling load to the park can be achieved.

[0055] Furthermore, at the gas energy subsystem level, the park's natural gas is primarily used for combined cooling, heating, and power (CCHP) equipment and gas-fired boilers. To ensure consistency in the "gas purchase volume - equipment gas consumption - carbon emission collection" metrics, a gas energy subsystem model is established to uniformly model the relationship between external natural gas input and the consumption of various gas-fired equipment. Its gas energy balance relationship is expressed as: , in, Indicates time period The total amount of natural gas purchased from external gas networks and consumed within the park; Indicates time period The relationship between the natural gas consumption of the combined cooling, heating and power (CCHP) equipment and the CCHP output has been given in S2; Indicates time period The relationship between the natural gas consumption of the gas-fired boiler and its heating capacity has been given in S2.

[0056] By modeling the gas energy subsystem described above, a one-to-one correspondence constraint between the natural gas purchased from outside the park and the gas consumption of each gas equipment is realized, and a consistent and traceable variable caliber is provided for the quantification and allocation of carbon emissions based on natural gas consumption in S4.

[0057] By using the energy balance equations of the aforementioned multi-energy subsystems (electricity, heat, cooling, and gas), this invention achieves a coupled description of different energy carriers at the system level, uniformly mapping the operating states of various energy devices to the multi-energy system structure model. This multi-energy system structure and energy coupling model can characterize the coordinated operation characteristics of multiple energy sources within a unified scheduling framework, providing a system-level energy balance constraint foundation for the subsequent construction and solution of a low-carbon economic coordinated scheduling optimization model.

[0058] S4: Carbon Emission Quantification and Allocation Modeling for Multi-Energy Systems

[0059] Based on the completed modeling of the multi-energy system structure and energy coupling of the integrated energy park, this invention constructs a multi-energy system carbon emission quantification and allocation model to achieve calculable characterization of carbon emissions during park operation and establish the correspondence between carbon emissions and energy flows such as electricity, heat, and cooling. This model uses carbon emissions at the park's energy input end as its foundation, uniformly quantifies carbon emissions generated from the consumption of fossil fuels such as purchased electricity and natural gas, and combines this with the multi-energy conversion and allocation relationships within the park to map and allocate carbon emission results to different energy carriers and energy-consuming links. This provides a consistent and traceable basis for carbon emission calculation and allocation interfaces for subsequent energy and production coordinated low-carbon scheduling optimization.

[0060] In terms of carbon emission quantification, the park's carbon emissions mainly originate from the consumption of fossil fuels such as electricity purchased from the external power grid and natural gas purchased from the external gas grid. To maintain consistency with the power / energy decision variables in the scheduling model, a "time-period" carbon emission coefficient is used to quantify carbon emissions: Let time periods be... Purchased power is The consumption of purchased natural gas is Then the park during the time period Input carbon emissions are expressed as: , in, The carbon emission coefficient per unit of purchased electricity is used as a known time-series parameter in the energy dispatch model to characterize the carbon emission level corresponding to purchased electricity in different time periods. Carbon emission intensity per unit of natural gas consumption.

[0061] For equipment consuming natural gas within the park (such as combined cooling, heating, and power (CCHP) equipment and gas-fired boilers), their carbon emissions are uniformly collected on the natural gas consumption side. Furthermore, by considering the balance of the gas-energy subsystem, it is ensured that natural gas carbon emissions are collected only once at the system level, avoiding duplicate metering on the electricity, heat, and cooling output sides. Taking CCHP equipment as an example, let's assume its emissions during a specific time period... The natural gas consumption is Then its corresponding carbon emissions can be expressed as: , Regarding carbon emission allocation, considering the scenarios of multiple sources and chain-like energy conversion in multi-energy systems, such as combined cooling, heating, and power (CCHP) equipment simultaneously outputting electrical and thermal energy, with some thermal energy further used for heating or driving absorption refrigeration to generate cold energy output, this invention constructs a carbon emission allocation mechanism based on the proportion of energy output power to ensure a traceable and consistent correspondence between carbon emission results and various energy flows. This mechanism enables the distribution and transfer of carbon emissions at the source along the "gas-electricity-heat-cooling" energy chain and provides a unified standard for representing equivalent carbon emissions under different energy supply paths.

[0062] Specifically, for combined cooling, heating, and power (CCHP) systems with multiple power sources from a single source, the carbon emissions generated from natural gas consumption should be addressed. The cost is allocated between the electricity and heat sides. Time periods are defined. The combined cooling and heating power supply output is Thermal power output is Introducing minimal positive numbers To prevent the denominator from being zero, the carbon emissions allocated to the electricity side and the heat side are expressed as follows: , , in, Indicates time period The carbon emissions of internal cooling combined heat and power equipment allocated to the electricity side, Indicates time period The carbon emissions allocated to the heat energy side of internal cooling combined heat and power equipment. Indicates time period The output power of the combined cooling and heating power supply, Indicates time period The combined cooling, heating, and power (CCHP) power output. Therefore, the source emissions of CCHP can be attributed to electrical energy flow and thermal energy flow respectively, achieving a reasonable decomposition of carbon emissions between electrical and thermal carriers in the case of "multiple sources from the same source".

[0063] Furthermore, when the heat output is used simultaneously for both park heating and driving absorption refrigeration, it is necessary to establish the distribution relationship of heat energy among different uses and to achieve secondary allocation of corresponding carbon emissions. (Time period is set.) The heat power that can be distributed by the internal cooling combined heat and power equipment through the waste heat recovery device is: The heat power used to meet the park's heat load demand corresponds to... The input thermal power used to drive the absorption refrigeration equipment is Then the waste heat distribution constraint is satisfied: , The above formula describes situations where waste heat is not utilized or there is heat exchange loss. That is, when the sum of the park's heat load demand and the absorption refrigeration drive demand is less than the available waste heat, it is permissible for some waste heat to be unutilized without affecting the feasibility of the model.

[0064] Based on this, the carbon emissions on the heat side of combined cooling, heating and power equipment will be reduced. The carbon emissions allocated to the absorption refrigeration stage are further distributed according to the heat power distribution ratio between the heating end and the absorption refrigeration end: , And the carbon emissions allocated to the park's heating system: , Let the coefficient of performance of the absorption refrigeration equipment be... Its cooling power output is Then we have: , To characterize the equivalent carbon emissions of cooling energy, the equivalent carbon emission intensity corresponding to the cooling capacity generated by absorption refrigeration can be further defined as: , Furthermore, when the cooling load of the industrial park is simultaneously borne by both electric refrigeration equipment and absorption refrigeration equipment, carbon emission characterizations for electric refrigeration can be constructed separately for path comparison and comprehensive evaluation. (Time period is set.) The input power of the internal electric refrigeration equipment is The corresponding carbon emissions for that period can be expressed as: , Furthermore, the equivalent carbon emission intensity of electric refrigeration capacity is defined as: , This enables a consistent transfer of carbon emissions from thermal energy to carbon emissions from cold energy in heat-driven refrigeration scenarios. Furthermore, when the cooling load of a park is simultaneously borne by both electric chillers and absorption chillers, the equivalent carbon emissions corresponding to electric refrigeration and absorption refrigeration can be calculated separately, and the carbon emissions from the cold energy supply can be aggregated at the system level to form a comparable carbon emission characterization of the park's cold energy side.

[0065] To further characterize the low-carbon operation performance of the auto parts industrial park under production and delivery constraints, and to establish a traceable correlation between output and carbon emission quantification results in S1, a unit output carbon emission index is defined within the scheduling cycle. Let the time period in S1 be... The output is Then the total output during the scheduling cycle is: , Let the carbon emissions of the park during the time period quantified in S4 be... The total carbon emissions during the scheduling cycle are: , Based on this definition, carbon emissions per unit of output are: , in, It is used to measure the overall carbon emission intensity at a given production delivery level, and can be used to compare and evaluate the low-carbon performance of different scheduling schemes. It also provides a unified evaluation standard for subsequent optimization models in the multi-objective trade-off analysis of "cost-carbon emission-delivery".

[0066] Through the aforementioned carbon emission quantification and allocation modeling, this invention uniformly maps carbon emissions from energy inputs such as purchased electricity and natural gas to multiple energy flows (electricity, heat, cooling, etc.) and end-user energy consumption, establishing a consistent calculation chain of "energy consumption—energy flow allocation—carbon emission collection." Simultaneously, by combining unit output carbon emission indicators, it achieves a linked representation of carbon emission results and auto parts production and delivery levels. Therefore, without changing the physical constraints, it allows for a calculable, amortizable, and traceable assessment of the carbon emission impact of different energy-production coordinated scheduling strategies, providing a foundation for the joint optimization solution in S5 with economic efficiency and low carbon emissions as objectives.

[0067] S5: Construction and Solution of Energy and Production Coordinated Scheduling Optimization Model for Low-Carbon Economy Goals

[0068] To achieve synergistic optimization of energy system operation in terms of both economy and low carbon emissions while meeting the production and delivery constraints of the auto parts industrial park, this step constructs a joint energy and production scheduling optimization model. The scheduling period is discretized into a set of time periods. The collection of auto parts production equipment is as follows Energy-side equipment assembly The model's decision variables include purchased electricity power, purchased natural gas consumption, output of various energy equipment within the park, energy storage charging and discharging power, and their energy state variables for each time period. It also includes the operating power and output variables of production equipment defined in S1. Production-side and energy-side decision variables are collaboratively determined within a unified optimization framework to ensure the feasibility of production organization while achieving low-carbon economic operation of the energy system.

[0069] Regarding the construction of the objective function, the overall operating cost of the park consists of energy purchase cost, equipment operation and maintenance cost, and carbon emission cost, in order to achieve low-carbon economic operation. The joint optimization objective function is expressed as: , in, and Time periods The prices of electricity and gas purchased, For energy equipment The unit operation and maintenance cost coefficient, This is the carbon cost coefficient. This represents the carbon emissions at the input end for each time period. Energy purchase costs consist of the prices of purchased electricity and natural gas for each time period. Equipment operation and maintenance costs are determined by the output level of each energy device and its unit operation and maintenance cost coefficient. Carbon emission costs are measured based on the carbon emission quantification model constructed in S4, and the impact of carbon emissions on the overall operational objectives is reflected by introducing a carbon cost coefficient. This results in a comprehensive operational cost minimization objective while meeting production delivery constraints.

[0070] Regarding the constraint setting, the constraints of the joint optimization model are uniformly constituted by the constraint set established in the aforementioned steps. Specifically, the production side needs to meet the feasibility constraints established in S1, such as the number of operating auto parts production equipment, operating power, output completion, personnel organization, and smooth start-up and shutdown of equipment; the energy side needs to meet the operational constraints established in S2, such as the output range, efficiency relationship, state evolution, and charge-discharge mutual exclusion of combined cooling, heating, and power equipment, boilers, electric refrigeration and electric heating equipment, and energy storage devices; at the system level, the energy balance relationship of the electrical, thermal, cold, and gas energy subsystems established in S3 needs to be met to ensure the balance of multi-energy supply and demand in the park during each scheduling period; carbon emission-related variables and their correspondence with energy input are given by the carbon emission quantification and allocation model established in S4. At the same time, the interaction between the park and the external power grid and gas grid needs to meet the corresponding electricity and gas purchase boundary conditions.

[0071] In terms of solution, the aforementioned energy and production coordinated scheduling optimization model integrates discrete production-side decisions and continuous energy-side decisions into a unified solution framework, exhibiting an overall mixed-integer optimization problem. Constraints that may introduce nonlinearity, such as efficiency curves or piecewise costs, can be handled through piecewise linearization or equivalent linearization methods, and a general optimization solver is used to complete the solution. The solution results provide the optimal output scheme for energy equipment, energy storage charging and discharging strategies, and production operation plans for each time period. Combined with the carbon emission results quantified in S4 and the carbon emission index per unit output, a unified evaluation of the economic efficiency and low-carbon operation performance of different scheduling schemes under the same production delivery level is conducted, thus providing a quantitative basis for low-carbon operation decisions in auto parts industrial parks.

[0072] In summary, this invention provides a comprehensive low-carbon economic scheduling method for energy and production load coordination in auto parts industrial parks. First, a production load adjustability model for auto parts workshops is established, using the number of operating equipment and their operating power as time-series decision variables. Under constraints such as production completion, personnel organization capacity, and smooth start-up / shutdown, a set of production-side constraints is formed, allowing production load to participate in scheduling as a decisionable resource. Second, an operation and coupling model of the park's multi-energy systems (electricity, heat, cooling, gas, and energy storage) is constructed. This model uniformly describes the output boundaries, efficiency relationships, and energy state evolution of purchased electrical equipment, combined cooling, heating and power (CCHP), waste heat recovery, absorption refrigeration, electric refrigeration, electric heating, gas boilers, and energy storage devices. Furthermore, a model is established for the operation and coupling of these systems. The system addresses the supply and demand balance constraints of the gas subsystem. Simultaneously, it establishes a carbon emission quantification and allocation model under multi-energy coupling conditions, using purchased electricity and natural gas consumption as input emission collection criteria. Carbon emission allocation and traceability are achieved based on the proportion of chain energy flows such as combined heat and power generation and heat-driven refrigeration. Finally, an energy-production joint optimization model is constructed and solved with the objective of minimizing the synergistic effects of energy purchase costs, equipment operation and maintenance costs, and carbon emission costs. This model outputs purchased electricity plans, energy equipment output, energy storage charging and discharging strategies, and production operation plans for each time period, enabling the auto parts industrial park to operate in a low-carbon and economical manner while ensuring production feasibility.

[0073] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for integrated energy and production load coordinated low-carbon economic scheduling in auto parts industrial parks, characterized by: include, Obtain the adjustable operating boundary of production load and energy system operating parameters; Constructing a multi-energy system coupling network and carbon emission mechanism; Based on the adjustable operating boundary of production load and the multi-energy system coupled network, a collaborative scheduling strategy is constructed with the goal of optimizing both operating cost and carbon emission cost. Output external energy purchase plans, equipment output strategies, and production operation plans for each time period to achieve coordinated operation of the park's production needs and energy supply.

2. The integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks as described in claim 1, characterized in that: The process of obtaining the adjustable operating boundary of the production load includes, By using the number of operating devices and their operating power as time-series decision variables, and under the constraints of production completion, personnel organization capacity, and start-stop smoothing, a set of production-side constraints is formed, allowing the production load to participate in scheduling as a decisionable resource, thus obtaining the production power demand: ， in, Indicates the time period The internal production power demand, Indicating process Next Such devices during time periods Total power consumption within the facility.

3. The integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks as described in claim 2, characterized in that: The production-side constraints include, Equipment operating number constraint: ， in, Indicates the time period Internal, process The Middle The number of production equipment that are turned on. Indicating process Next Maximum number of devices that can be configured; The operating power of the equipment and the number of units in operation must satisfy a consistency constraint: ， in, Indicating process Next Such devices during time periods Total power consumption within the room This indicates the minimum stable operating power of this type of equipment. This indicates its maximum stable operating power; The material state evolution and constraints between adjacent processing stages or equipment types are as follows: ， in, This represents the variable indicating work-in-process inventory. Indicating process The Middle Such devices during time periods The amount of processing output completed within the period; The cumulative production constraint is: ， in, Indicates the first The last type of equipment in this type of process During the period production, Indicates the first Order demand for similar processes; Personnel organizational capacity constraints are represented as follows: ， in, Indicates time period Number of available workers within, The maximum number of devices that a worker can operate simultaneously; The start-stop smoothing constraint is expressed as: ， in, and Each is a process Next The upper limit of the increase and decrease in the number of devices of the same type operating within adjacent time periods.

4. The integrated energy and production load coordinated low-carbon economic dispatch method for auto parts industrial parks as described in claim 1, 2, or 3, characterized in that: The construction of the multi-energy system coupling network includes, Establish output boundaries, efficiency relationships, and energy state evolution for purchased electrical equipment, combined cooling, heating and power, waste heat recovery, absorption refrigeration, electric refrigeration, electric heating, gas boilers, and energy storage devices, and establish supply and demand balance constraints for multi-energy electrical, heating, cooling, and gas subsystems.

5. The integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks as described in any one of claims 1, 2, 3, and 4, characterized in that: The establishment of supply and demand balance constraints for multi-energy electrical, thermal, cooling, and gas subsystems includes, The balance relationship of the electrical energy subsystem is expressed as follows: ， in, For externally purchased power; Output power to combined cooling, heating and power equipment; Contribute to renewable energy; , These refer to the discharge power and charging power of the energy storage system, respectively. , These are the input electrical power for electric refrigeration equipment and electric heating equipment, respectively. By introducing... and with Unified as total load , , The energy balance relationship of the thermal subsystem can be expressed as: ， in, The usable heat power recovered by waste heat boilers / heat exchangers; Output heat power for electric boilers / electric heating equipment; This is to output heat power for the gas-fired boiler; , These represent the heat release power and heat charging power of the thermal energy storage device, respectively. The energy balance relationship of the cold energy subsystem can be expressed as: ， in, This refers to the cooling capacity of the absorption chiller. The cooling capacity of the electric chiller; , These represent the cold energy release capacity and cold energy storage capacity of the cold energy storage device, respectively. This cold energy balance relationship ensures a stable supply of cooling load to the industrial park. The equilibrium relationship of the gas-energy subsystem is expressed as follows: ， in, Indicates time period The total amount of natural gas purchased from external gas networks and consumed within the park; Indicates time period Natural gas consumption of combined cooling, heating and power (CCHP) equipment; Indicates time period Natural gas consumption of gas-fired boilers.

6. The integrated energy and production load coordinated low-carbon economic dispatch method for auto parts industrial parks as described in claim 4, characterized in that: The carbon emission mechanisms include, Establish a carbon emission quantification model and carbon emission allocation model under multi-energy coupling conditions, take the emission collection caliber of purchased electricity and natural gas consumption as the input end, and realize carbon emission allocation and traceability correspondence according to the proportion of chain energy flow such as combined heat and power generation and multiple supply from one source and heat-driven cooling. The carbon emission allocation model includes allocating the carbon emissions generated by the combined cooling, heating and power (CCHP) equipment consuming natural gas to the electricity side and the heat side according to the ratio of its concurrent electricity output power to heat output power; and allocating the carbon emissions on the heat side to the heating end and the cooling end a second time according to the ratio of the heat power used for direct heating and driving absorption refrigeration, thereby obtaining the equivalent carbon emission intensity of the absorption refrigeration capacity.

7. The integrated energy and production load coordinated low-carbon economic dispatch method for auto parts industrial parks as described in claim 6, characterized in that: The carbon emission quantification model at the input end is expressed as follows: ， in, Carbon emission coefficient per unit of purchased electricity for a given time period; Carbon emission intensity per unit of natural gas consumption, time period Purchased power is The consumption of purchased natural gas is ; A carbon emission allocation mechanism is constructed based on the proportion of energy output power, and the carbon emissions from natural gas consumed by combined cooling, heating and power (CCHP) equipment are allocated at the primary level: ， in, For time period Natural gas consumption within the area Carbon emissions from natural gas consumption in combined cooling, heating and power (CCHP) equipment; The carbon emissions allocated to the electricity and heat sides are expressed as follows: ， in, Indicates time period The carbon emissions of internal cooling combined heat and power equipment allocated to the electricity side, Indicates time period The carbon emissions allocated to the heat energy side of internal cooling combined heat and power equipment. Indicates time period The output power of the combined cooling and heating power supply, Indicates time period The combined cooling and heating power output; When the combined cooling, heating and power equipment outputs heat energy from the heat energy side When used for both park heating and driving absorption refrigeration, constraints should be established for the allocation of thermal energy usage: ， in, For time period The heat power available for distribution from the internal cooling combined heat and power equipment via waste heat recovery devices, used to meet the park's heat load demand, corresponds to the following: The input thermal power used to drive the absorption refrigeration equipment is The carbon emissions from the heat energy side are then redistributed to the absorption cooling and heating ends according to the heat power distribution ratio. ， ， Among them, time period The heat power that can be distributed by the internal cooling combined heat and power equipment through the waste heat recovery device is: The heat power used to meet the park's heat load demand corresponds to The input thermal power used to drive the absorption refrigeration equipment is .

8. The integrated energy and production load coordinated low-carbon economic dispatch method for auto parts industrial parks as described in claim 1, characterized in that: The proposed collaborative scheduling strategy aims to optimize both operating costs and carbon emission costs. The energy and production collaborative scheduling optimization model is expressed as follows: ， in, and Time periods The prices of electricity and gas purchased, For energy equipment The unit operation and maintenance cost coefficient, This is the carbon cost coefficient. This represents the carbon emissions at the input end during a given time period.

9. The integrated energy and production load coordinated low-carbon economic dispatch method for auto parts industrial parks as described in claim 1 or 8, characterized in that: The constraints of the energy and production coordinated scheduling optimization model include production-side constraints, energy equipment operation constraints, multi-energy subsystem energy balance constraints, and carbon emission quantification relationships.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the integrated energy and production load coordinated low-carbon economic scheduling method for auto parts industrial parks as described in any one of claims 1 to 9.

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