Simulation and configuration method of low-carbon integrated energy system considering the installation of carbon capture equipment

Abstract

A simulation and configuration method for a low-carbon integrated energy system that takes into account the installation of carbon capture equipment is proposed. This method constructs a coupled integrated energy system model that takes into account the installation of carbon capture equipment, including a carbon capture power plant model, a P2G equipment model, a photovoltaic model, a gas turbine model, a waste heat boiler model, a gas boiler model, an electric boiler model, a ground-source heat pump model, an energy storage device model, a power network model, and a thermal network model. Furthermore, an economic dispatch model for an urban regional integrated energy system that takes into account the installation of carbon capture equipment is constructed. A regional electric-thermal integrated energy system consisting of a modified IEEE 33-node distribution network and a six-node thermal network is then selected. Simulation and solution are performed using the YALMIP and GUROBI solvers on a MATLAB platform. Finally, the configuration phase of the integrated energy system is analyzed based on the solution results, and the optimal configuration scheme is obtained, thereby optimizing the operation and configuration of the electric-thermal multi-energy complementary integrated energy system.

Description

Technical Field

[0001] The present invention relates to a technology in the field of integrated energy, specifically a method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment. Background Art

[0002] The urban integrated energy system has become an important direction for low-carbon development due to its advantages of high energy utilization efficiency and high proportion of renewable energy consumption. Unlike traditional power dispatching, the urban energy system is a collection of energy systems for urban heating, cooling, power supply and meeting other needs. At this stage, an optimized configuration technology that can cope with the participation of integrated energy systems in carbon emissions is being developed. Summary of the Invention

[0003] In response to the above-mentioned deficiencies in the prior art, the present invention proposes a simulation and configuration method for a low-carbon integrated energy system that takes into account the installation of carbon capture equipment. This method comprehensively considers the carbon capture structure and carbon trading costs of thermal power units to optimize the operation and configuration of the electric-thermal multi-energy complementary integrated energy system.

[0004] The present invention is achieved through the following technical solutions:

[0005] The present invention relates to a simulation and configuration method for a low-carbon integrated energy system taking into account the installation of carbon capture equipment. The method comprises: constructing a coupled model of an integrated energy system taking into account the installation of carbon capture equipment, including a carbon capture power plant model, a P2G equipment model, a photovoltaic model, a gas turbine model, a waste heat boiler model, a gas boiler model, an electric boiler model, a ground source heat pump model, an energy storage device model, a power network model, and a thermal network model; and constructing an economic dispatch model of an urban regional integrated energy system taking into account the installation of carbon capture equipment. Then, a regional electric-thermal integrated energy system consisting of a modified IEEE 33-node distribution network and a six-node thermal network is selected. The system is simulated and solved using the YALMIP and GUROBI solvers on a MATLAB platform. Finally, the configuration phase of the integrated energy system is analyzed based on the solution results to obtain an optimal configuration scheme.

[0006] The comprehensive energy system economic dispatch model considering carbon capture installation includes: thermal power unit operating cost, gas unit operating cost, carbon dioxide related cost and new energy abandonment cost objective functions as well as power grid operation constraints, heating network operation constraints and equipment constraints.

[0007] The present invention relates to a system for implementing the above-mentioned method, comprising: an integrated energy system modeling unit, an integrated energy system scheduling unit and an integrated energy system configuration unit, wherein: the integrated energy system modeling unit performs mathematical modeling based on selected equipment and network information to obtain an equipment and network model; the integrated energy system scheduling unit performs mathematical modeling based on the operation objectives and constraints of the integrated energy system to obtain a scheduling model; the integrated energy system configuration unit processes the equipment and network model and the scheduling model based on a MATLAB platform, and calls a Gurobi solver through a Yalmip toolbox to solve the result to obtain an integrated energy system configuration plan.

[0008] Technical Effects

[0009] The present invention analyzes the correlation between the physical model of the carbon capture equipment and the configuration method of the integrated energy system; through the precise modeling of the thermal network, the simulation of the integrated energy system is made more accurate; by constructing a fitting function between the marginal carbon price of the integrated energy system and the marginal carbon price of the carbon capture equipment, the configuration plan of the system is adaptively determined according to the development level of the carbon market, thereby guiding engineering personnel to improve the operation and planning level of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 Flowchart of the present invention;

[0011] Figure 2 This is a schematic diagram of the structure of the integrated energy system coupling model of the present invention;

[0012] Figure 3 This is a structural schematic diagram of the carbon capture system of the present invention.

[0013] Figure 4 Schematic diagram of the heat network structure of the integrated energy system.

[0014] Figure 5 Schematic diagram comparing the impact of integrated energy system heat network modeling on scheduling.

[0015] Figure 6 Schematic diagram comparing the impact of multi-stage configuration schemes on scheduling of integrated energy systems. DETAILED DESCRIPTION

[0016] like Figure 1 As shown, this embodiment relates to a low-carbon integrated energy system and configuration method taking into account the installation of carbon capture equipment, including the following steps:

[0017] Step 1: Construct a comprehensive energy system coupling model that includes a carbon capture power plant model, a P2G equipment model, a photovoltaic model, a gas turbine model, a waste heat boiler model, a gas boiler model, an electric boiler model, a ground source heat pump model, an energy storage device model, a power network model, and a thermal network model. Specifically, the model includes:

[0018] Step 1.1: Establish a carbon capture power plant model. A carbon capture power plant is a traditional coal-fired power plant that is equipped with carbon capture equipment to reduce system carbon emissions. Figure 3 As shown in the figure, the carbon capture power plant model is equipped with a flue gas bypass system, a lean liquid and rich liquid storage unit, a regeneration tower and a compressor. The carbon capture power plant model is P hd，r，t =P hd，t -P loss，t , where: P hd，r，t The actual output after adding carbon capture equipment to thermal power units, P hd，t is the actual power generation of the thermal power unit at time t, P loss，t The power consumption of the carbon capture system at time t is: Where: M r，t =M hd，t -M in，t , a1, a2, a3 are power consumption coefficients, M r，t is the actual carbon emission of the thermal power unit, and the carbon emission intensity M of the thermal power unit at time t in the flue gas absorption link hd，t =γ hd P hd，t , M in，t =α yq M hd，t , M in，t is the amount of liquid entering the rich liquid absorption tower at time t; γ hd is the carbon emission ratio of thermal power units, α yq is the absorption ratio of the carbon capture equipment; the carbon content M in the regeneration and compression stage of the lean and rich liquid storage at time t L，t =M L，t-1 +M in，t -M out，t , M out，t is the amount of carbon entering the regeneration tower from the lean and rich liquid storage at time t, is the amount of carbon compressed by the system at time t; the input of the carbon capture power plant model is the power generation power P of the thermal power unit hd，t , the output is the actual electric power output P of the carbon capture power plant hd，r，t , carbon capture and actual carbon emissions M r，t .

[0019] Step 1.2: Establish a P2G equipment operation model. The P2G equipment reduces system carbon emissions by consuming carbon dioxide, including water electrolysis to produce hydrogen and methanation of carbon dioxide and hydrogen to produce natural gas. The specific model is: water electrolysis to produce hydrogen volume Volume of natural gas produced by methanation of carbon dioxide and hydrogenation Where: P P2H is the power consumption of water electrolysis, η p2h For energy conversion efficiency, is the calorific value of hydrogen, is the hydrogen production, is the natural gas production, η h2g The efficiency of methanation is taken as 0.75, is the carbon dioxide consumption; the input of the P2G equipment operation model is the water electrolysis power consumption P P2H , the output is hydrogen production

[0020] Step 1.3: Establish a photovoltaic model. Introducing distributed photovoltaics into the system to replace the original power supply can reduce the system's carbon emissions. The photovoltaic output level is obtained by prediction. The photovoltaic model is P pv，t =η pv，t P pv，p，t , where: P pv，t is the actual photovoltaic grid power, η pv，t is the photovoltaic absorption rate, P pv，p，t The input of the photovoltaic model is the actual photovoltaic power generation P pv，p，t , the output is the actual photovoltaic grid power P pv，t .

[0021] Step 1.4: Establish a gas turbine model. The gas turbine consumes natural gas to produce electricity and generates waste heat, which can be output through the waste heat boiler. In this process, carbon emissions will be generated due to the combustion of natural gas. The gas turbine model is P GT，t =η GT L NG V GT，t , Where: η GT is the power generation efficiency of the gas turbine, L NG is the calorific value of natural gas, V GT，t is the amount of natural gas consumed per hour by the gas turbine at time t, P GT，t is the power generation of the gas turbine at time t, η r is the waste heat recovery efficiency, Q GB，t is the exhaust heat recovery amount of the gas turbine at time t; the input of the gas turbine model is the natural gas consumption V of the gas turbine GT，t , the output is the power generation power P of the gas turbine at that moment GT，t.

[0022] Step 1.5: Establish a waste heat boiler model. The waste heat boiler collects the waste heat generated by the gas turbine and outputs thermal power. The waste heat boiler model is Q WH，t =η WH Q GB，t , where: η WH is the heat collection efficiency of the waste heat boiler, Q GB，t is the waste heat absorbed, Q WH，t is the output power of the waste heat boiler; the input of the waste heat boiler model is the absorbed waste heat Q GB，t , the output is the waste heat boiler power Q WH，t .

[0023] Step 1.6: Establish a gas boiler model. The gas boiler generates heat through natural gas. The heat generated is related to the boiler efficiency and fuel quantity. Carbon emissions are generated during the combustion of natural gas. The gas boiler model is Q GB，t =V GB，t η GB L NG , where: Q GB，t is the heat generated by the gas boiler at time t, η GB is the power generation efficiency of the gas turbine, L NG is the calorific value of natural gas, V GB，t is the amount of natural gas consumed by the gas turbine per hour at time t; the input of the gas boiler model is the amount of natural gas consumed by the gas turbine V GB，t , the output is the heat Q generated by the gas boiler GB，t .

[0024] Step 1.7: Build an electric boiler model, which converts electrical energy into thermal energy and provides an adjustable heat load for the system. The adjustment range is large, but the energy conversion efficiency is low. The electric boiler model is Q gd，t =η gd P gd，t , where: Q gd，t is the heat generated by the electric boiler at time t, η gd is the heat generation efficiency of the electric boiler, P gd，t is the power consumption of the electric boiler at time t; the input of the electric boiler model is the power consumption of the electric boiler P gd，t , the output is the heat Q generated by the electric boiler gd，t .

[0025] Step 1.8: Establish a ground source heat pump model. The ground source heat pump uses rock, soil, groundwater or surface water as a low temperature heat source, and can provide heat energy services to users. The heat generation process consumes a small amount of electricity. The ground source heat pump can generally only provide a fixed heat source as the base load of the system heating. The ground source heat pump model is Q rb，t =η rb P rb，t, where: Q rb，t is the heat generated by the ground source heat pump at time t, η rb is the heat production efficiency of the ground source heat pump, P rb，t is the power consumption of the ground source heat pump at time t; the input of the ground source heat pump model is the power consumption of the ground source heat pump P rb，t , the output is the heat Q generated by the ground source heat pump rb，t .

[0026] Step 1.9: Establish an energy storage device model. The integrated energy system includes electrical energy storage and thermal energy storage, using an electrochemical energy storage model and a thermal storage tank model, respectively. Carbon storage and gas storage also exist, with negligible losses. Carbon storage primarily serves P2G equipment and post-capture carbon storage, with no upper limit. Gas storage primarily serves natural gas units and P2G equipment, primarily ensuring daily natural gas supply balance.

[0027] Step 1.10: Establish a power network model. In view of the current situation of closed-loop design and open-loop operation in the distribution network, a radial distribution network linear power flow model is used to describe the power network in the integrated energy system, while ignoring branch losses. The power network model consists of simplified branch power flow equations, including P hj =∑ i→h P ih -P h , Q hj =∑ i→h Q ih -Q h , Where: P hj and Q hj are the active and reactive powers flowing from node h to node j respectively; P h and Q h are the active and reactive powers flowing to the load at node h; R ih and X ih are the resistance and reactance of branch ih respectively; y h and V i are the voltage amplitudes at node h and node i respectively.

[0028] Step 1.11: Design the thermal network based on the hot water network, such as Figure 4 As shown in Figure 1, this thermal network consists of a primary and secondary heating network, exhibiting dynamic delay and energy storage characteristics. It is modeled using a mass regulation approach, which regulates the water temperature without changing the mass flow rate of hot water in the network, while also accounting for heat losses in the return piping. The primary heating network is supplied with heat by a heat exchange station equipped with heating equipment, while heat users receive heat through the secondary heating network.

[0029] Step 1.12: Combine the device model equations in steps 1.1-1.9 and the network model equations in steps 1.10-1.11 to form a coupled integrated energy system model, where: gas turbines, gas boilers, electric boilers, and heat pumps provide thermal load; thermal power units, photovoltaics, gas turbines, and the external power grid provide electrical load; energy storage and P2G equipment are used to improve energy consumption efficiency and change the load curve; carbon emissions from thermal power units are recycled and reused through carbon capture equipment, thereby reducing carbon emissions. Carbon emissions from gas units are difficult to capture and need to be traded in the carbon market together with the remaining carbon emissions from thermal power units.

[0030] Step 2: Based on the integrated energy system coupling model in step 1.12, construct an urban regional integrated energy system economic dispatch model considering carbon capture and installation, which includes objective functions and constraints.

[0031] The objective functions include: the operating costs of thermal power units, the operating costs of gas units, carbon-related costs, and the cost of abandoning new energy sources, specifically including:

[0032] 1) Objective function of thermal power unit operation cost, Where: T is the scheduling period, C e0，，t is the startup cost, C et，t The installation cost of carbon capture equipment, converted to daily operation, is f(P e，t ) is the power generation cost function, P e，t is the generated power, a e 、b e and c e is the cost coefficient of thermal power units.

[0033] 2) Gas unit operating cost objective function, C g =∑ t∈T p g，t V g，t , where: p g，t is the natural gas price; V g，t It is the sum of natural gas consumption of gas-fired units.

[0034] 3) CO2-related cost objective function, including the carbon trading cost of the system’s fossil fuel units, the carbon purchase cost of P2G equipment, and the carbon storage cost C of carbon storage equipment cur =∑ t∈T p cur，t δ t P re，t , where: p c1，t is the carbon trading price of the unit, μ e is the carbon emission intensity of thermal power units, μ g is the carbon emission intensity of gas turbines, p c2，t The carbon price for P2G equipment, Cp2g，t is the amount of carbon purchased by P2G, p s，t Carbon storage prices, is the carbon storage.

[0035] 4) New energy disposal cost objective function, C cur =∑ t∈T p cur，t δ t P re，t , where: p cur，t is the abandonment penalty coefficient, δ t is the abandonment rate, P re，t To make available active effort.

[0036] The constraints include: power grid constraints and heat network constraints, specifically including:

[0037] i) Grid power balance constraints Grid line transmission constraints and grid voltage phase angle constraints Where: P i，t is the output of the connected unit of node j, A G is the set of units connected to the node, P hj，t For branch h j The trend of A F and A E is the set of routes with node j as the starting point and the end point, and are the upper and lower limits of the tidal current, D j，t is the power load demand of node j, θ j，t is the voltage phase angle at node j.

[0038] ii) Thermal network constraints: To address the problem of different inertia between power network and thermal network flows, based on the power network flow calculation, the delay characteristics are considered in the thermal network, that is, the temperature constraints of the quasi-dynamic process of thermal energy transport are applied. Describes the hot water supply of the heating network at different times. In addition, the heating network operation constraints also include heat exchange constraints. Confluence node temperature equation Heat source temperature constraint c1 and c2 represent the weight coefficients of the hot water mass output at time t. and is the initial temperature of the mass, T am is the ambient temperature, c3 and c4 are the coefficients of temperature loss of hot water in the pipeline, which are related to the length of the pipeline and the flow rate of the pipeline; and are the heat output of the heat source equipment and the user heat load at node ν respectively; m H，v，t and m L，v，t is the quality of hot water at the heat source and heat load; and The supply and return water temperatures of the heat source and heat load; S(v) + and S(v) - are the pipe sets connected to the node ν, including the outlet pipe and the inlet pipe. is the outlet water temperature of pipe κ, is the outflow temperature of node v. b and q κ are the mass flow rates of hot water in pipes b and κ, respectively.

[0039] iii) Equipment constraints, which consist of unit constraints and storage equipment constraints, where:

[0040] Unit constraints include unit output constraints Unit climbing constraint P n，i，d ≤P n，i，t -P n，i，t-1 ≤P n，i，u , where: P n，i，t is the output of the nth device at the i-th node at time t, and The upper and lower limits of the device output; P n，i，d and P n，i，u The upper and lower climbing limits for the device.

[0041] Storage device constraints include the device state equation S i，t =S i，t-1 +S i，in，t -S i，out，t Total constraint S i，min ≤S i，t ≤S i，max , energy storage constraint 0≤S i，in，t ≤S i，in，max (1-λ i，t ), energy release constraint 0≤S i，out，t ≤S i，out，max λ i，t , where: S i，t is the total energy storage of the i-th device at time t; S i，in，t The power stored for the device at time t; S i，out，t The power released by the device at time t; i，t The variable is 01 and is the device status.

[0042] Step 3: Select the regional electric and thermal integrated energy system consisting of the modified IEEE 33-node distribution network and the six-node thermal network. Based on the MATLAB platform, use the YALMIP and GUROBI solvers to simulate and solve the economic dispatch model of the urban regional integrated energy system obtained in step 2. Specifically, the model includes:

[0043] Step 3.1: Design an integrated energy system operation scenario, where the equipment includes large thermal power units, power-to-gas equipment, gas turbines, waste heat boilers, gas boilers, photovoltaics, electric boilers, ground-source heat pumps, electric thermal energy storage, and electric thermal load users. Specific equipment parameters for this operation scenario include:

[0044] Table 1

[0045]

[0046] Step 3.2: Analyze the impact of thermal network modeling: Since the thermal network model includes a linearized model that only ensures the balance between the system heat load and supply and a heat network model that considers the hot water network structure, the results of the integrated energy system operation under different modeling are not exactly the same, and the difference in carbon emissions cannot be ignored. Specifically, the system operation results under the two schemes are as follows: Figure 5 As shown in the figure, by observing the operating curves of thermal-related equipment, it is not difficult to find that the gas boiler produces less heat in the ordinary linearized model, and the overall heating level in the heat network model is higher. This shows that after considering the flow of hot water in the actual pipeline, the system heat load is not completely equal to the system user heat load. The hot water in the pipeline will have time delays and other phenomena, which reduces the system's heat load demand and thus reduces the system's carbon emissions. Therefore, there are differences between the two modeling methods. The heat network model is more in line with the actual situation and should be considered in the modeling of the integrated energy system.

[0047] Table 2

[0048]

[0049]

[0050] Step 4: Based on the solution results, analyze the configuration stages of the three integrated energy systems and obtain the optimal configuration scheme, where: Stage 1: The system does not need to consider carbon trading costs, carbon capture equipment has not been installed, and the integrated energy system operates normally; Stage 2: Carbon trading costs exist in the system, carbon capture equipment has not been installed, and the system target considers carbon trading costs; Stage 3: Carbon trading costs exist in the system, carbon capture is installed on the original basis, and the system operation considers the installation costs, specifically including:

[0051] Step 4.1: Configuration solution analysis. The results of the three phases are shown in Table 3 and Figure 6As shown, there is no significant difference in the operation of system equipment between Phases 1 and 2. This indicates that the introduction of the carbon trading mechanism has minimal impact on system operation, as carbon costs play a relatively low role in system decision-making. The costs in the table also show that the costs of various generator sets have changed little, and the system's daily carbon emissions have only decreased by 36.129 tons after the introduction of carbon trading. This indicates that simply incorporating the carbon trading mechanism into the operation of the integrated energy system is insufficient and cannot achieve low-carbon goals. However, the transition from Phase 2 to Phase 3 shows a significant decrease in carbon emissions, demonstrating the value of introducing carbon capture units. Cost-wise, purchased electricity increased, natural gas remained essentially unchanged, and thermal power costs increased, but actual power generation decreased. This is because the introduction of carbon capture equipment increases the thermal power system's self-consumption, resulting in negative thermal power output. The carbon price set for Phase 3 is 0.2,000 yuan / ton, and the addition of carbon capture at this stage can reduce energy costs.

[0052] Table 3

[0053]

[0054]

[0055] Step 4.2: Carbon Trading Price Analysis: Compare the operating costs of the Phase 2 and Phase 3 systems in Step 3.3 when the carbon price changes to indicate the appropriate time to install carbon capture equipment. Then, analyze the marginal carbon price change that would increase system revenue when the cost of installing carbon capture equipment changes.

[0056] Step 4.3: Analyzing the Impact of Carbon Price Changes. As carbon trading costs rise, observing the price difference between Phases 2 and 3 reveals that when the carbon price is 0.198,000 yuan / t, the price difference is approximately zero. Therefore, it can be assumed that after the carbon price exceeds 0.198,000 yuan / t, the installation of carbon capture equipment in the integrated energy system can increase system revenue. After this point, the reduction in carbon trading costs brought about by Phase 3 will cover the cost of installing carbon capture equipment, resulting in a marginal carbon price of 0.198,000 yuan / t. This suggests that after participating in the carbon trading market, integrated energy systems need to carefully estimate prices and determine their allocation plans based on their own carbon capture costs. Furthermore, the carbon trading market must also rationally regulate carbon prices to help achieve carbon reduction targets.

[0057] Table 4

[0058]

[0059] Step 4.4: Analyze the relationship between marginal carbon price and carbon capture equipment installation. The impact of the cost of carbon capture equipment installation is shown in Table 5. In the integrated energy system with thermal power as the core, the marginal carbon price is closely related to the cost of carbon capture equipment. The data in the table show that the relationship between the two is a linear curve. For the integrated energy system in the example, the marginal carbon price p cand carbon capture retrofits ccs The fitting function is w ccs =1933.431(p c -0.172). Therefore, in the construction of an integrated energy system, decisions can be made based on the cost of installing carbon capture equipment at a thermal power plant and the carbon price in the carbon trading market. Once the actual carbon price is determined, the ideal carbon capture cost can be calculated using the fitting function. Installation can be made when the actual carbon capture cost is lower. Furthermore, considering the positive environmental impact of installing carbon capture equipment, the environmental benefits can be converted and then the corresponding value can be subtracted from the installation cost to determine whether to install it.

[0060] Table 5

[0061]

[0062]

[0063] Through the three stages in step 4, the configuration plan analysis is completed, helping to improve the efficiency of carbon capture equipment installation in the integrated energy system.

[0064] Compared with existing technologies, this method uses thermal network models to more accurately simulate the operation of integrated energy systems; after calculating the functional relationship between marginal carbon prices and carbon capture devices, industrial installations of carbon capture can respond more efficiently to the development of carbon markets.

[0065] The above-mentioned specific implementation can be partially adjusted in different ways by those skilled in the art without departing from the principles and purpose of the present invention. The scope of protection of the present invention shall be based on the claims and shall not be limited by the above-mentioned specific implementation. All implementation schemes within its scope shall be subject to the constraints of the present invention.

Claims

1. A method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment, characterized in that: By constructing a comprehensive energy system coupling model considering carbon capture installation, which includes a carbon capture power plant model, a P2G equipment model, a photovoltaic model, a gas turbine model, a waste heat boiler model, a gas boiler model, an electric boiler model, a ground source heat pump model, an energy storage device model, a power network model, and a thermal network model, as well as an economic dispatch model of an urban regional comprehensive energy system considering carbon capture installation, then selecting a regional electric and thermal comprehensive energy system consisting of a revised IEEE33-node distribution network and a six-node thermal network, and performing simulation and solution based on the MATLAB platform using the YALMIP and GUROBI solvers, finally analyzing the configuration stage of the comprehensive energy system based on the solution results and obtaining the optimal configuration scheme; The comprehensive energy system economic dispatch model considering carbon capture installation includes: objective functions and constraints of thermal power unit operating costs, gas unit operating costs, carbon dioxide-related costs, and renewable energy abandonment costs; The objective functions include: the operating costs of thermal power units, the operating costs of gas units, carbon-related costs, and the cost of abandoning new energy sources, specifically including: 1) Objective function of thermal power unit operation cost, ,in: is the scheduling period, For startup costs, The cost of installing carbon capture equipment, converted to daily operation, is the power generation cost function, is the generated power, 、 and is the cost coefficient of thermal power units; 2) Gas unit operating cost objective function, ,in: is the price of natural gas; It is the sum of natural gas consumption of gas generating units; 3) CO2-related cost objective function, including the carbon trading cost of the system's fossil fuel units, the carbon purchase cost of P2G equipment, and the carbon storage cost of carbon storage equipment ,in: is the unit carbon trading price, is the carbon emission intensity of thermal power units, is the carbon emission intensity of gas turbine units, Carbon price for P2G equipment, Purchase carbon for P2G, Carbon storage prices, is the carbon storage; 4) New energy disposal cost objective function, ,in: is the abandonment penalty coefficient, is the abandonment rate, To make available active effort; The constraints include: grid power balance constraints, heat network constraints and equipment constraints, specifically including: i) Grid power balance constraints , power grid line transmission constraints and grid voltage phase angle constraints ,in: The output of the connected unit of node j The set of units connected to the node For branch hj Trend and is the set of routes with node j as the starting point and the end point and The upper and lower limits of the trend is the power load demand of node j is the voltage phase angle at node j; ii) Thermal network constraints: To address the problem of different inertia between power network and thermal network flows, based on the power network flow calculation, the delay characteristics are considered in the thermal network, that is, the temperature constraints of the quasi-dynamic process of thermal energy transport are applied. Describes the hot water supply of the heating network at different times. In addition, the heating network operation constraints also include heat exchange constraints. , , the junction temperature equation , heat source temperature constraint , , 、 Represents the weight coefficient of the hot water mass output at time t, and is the initial temperature of the mass, is the ambient temperature, 、 The coefficient of temperature loss of hot water in the pipeline is related to the length of the pipeline and the flow rate of the pipeline; and are the heat output of the heat source equipment and the user heat load at node v respectively; and is the quality of hot water at the heat source and heat load; and , are the supply water temperature and return water temperature of the heat source and heat load; and are the pipe sets connected to the outlet pipe and the inlet pipe respectively and the node v, For pipelines The outlet water temperature, is the outflow temperature of node v; and Pipeline b and The mass flow rate of hot water; iii) Equipment constraints, which consist of unit constraints and storage equipment constraints, where: Unit constraints include unit output constraints , unit climbing constraint ,in: is the output of the nth device at the i-th node at time t, and The upper and lower limits of the device's output; and The upper and lower limits of the equipment's climbing slope; Storage device constraints include device state equations Total Constraint , energy storage constraints , energy release constraint ,in: is the total energy storage of the i-th device at time t; Store power for the device at time t; Release power for the device at time t; The variable is 01 and is the device status.

2. The method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment according to claim 1 is characterized in that: The carbon capture power plant model is equipped with a flue gas bypass system, a lean liquid and rich liquid storage unit, a regeneration tower and a compressor. ,in: The actual output after adding carbon capture equipment to thermal power units, is the actual power generation of the thermal power unit at time t, The power consumption of the carbon capture system at time t is: , 、 、 is the power consumption coefficient, is the actual carbon emission of the thermal power unit, and the carbon emission intensity of the thermal power unit at time t in the flue gas absorption link , , is the amount entering the rich liquid absorption tower at time t; is the carbon emission ratio of thermal power units, is the absorption ratio of the carbon capture equipment; the carbon content at time t in the regeneration and compression stages of the lean and rich liquid storage , , is the amount of carbon entering the regeneration tower from the lean and rich liquid storage at time t, is the amount of carbon compressed by the system at time t; the input of the carbon capture power plant model is the power generation of the thermal power unit , the output is the actual electric power output of the carbon capture power plant , carbon capture and actual carbon emissions ; The P2G equipment operation model is specifically as follows: the volume of hydrogen produced by electrolysis of water , volume of natural gas produced by methanation of carbon dioxide and hydrogenation ,in: The power consumption for water electrolysis is For energy conversion efficiency, is the calorific value of hydrogen, is the hydrogen production, is the natural gas production, The efficiency of methanation is taken as 0.75, is the carbon dioxide consumption; the input of the P2G equipment operation model is the power consumption of water electrolysis , the output is hydrogen production ; The photovoltaic model is ,in: is the actual grid-connected power of photovoltaic power, is the photovoltaic absorption rate, The input of the photovoltaic model is the actual photovoltaic power generation , the output is the actual photovoltaic grid power .

3. The method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment according to claim 1, wherein: The gas turbine model is , ,in: is the gas turbine power generation efficiency, is the calorific value of natural gas, is the amount of natural gas consumed per hour by the gas turbine at time t, is the power generation of the gas turbine at time t, is the waste heat recovery efficiency, is the exhaust heat recovery amount of the gas turbine at time t; the input of the gas turbine model is the amount of natural gas consumed by the gas turbine , output is the power generated by the gas turbine at that moment ; The waste heat boiler model is ,in: is the heat collection efficiency of the waste heat boiler, To absorb the waste heat, is the output power of the waste heat boiler; the input of the waste heat boiler model is the absorbed waste heat , the output is the waste heat boiler power ; The gas boiler model is ,in: is the heat generated by the gas boiler at time t, is the gas turbine power generation efficiency, is the calorific value of natural gas, is the amount of natural gas consumed by the gas turbine per hour at time t; the input of the gas boiler model is the amount of natural gas consumed by the gas turbine , the output is the heat generated by the gas boiler ; The electric boiler model is ,in: is the heat generated by the electric boiler at time t, is the heat production efficiency of the electric boiler, The power consumption of the electric boiler at time t; the input of the electric boiler model is the power consumption of the electric boiler , the output is the heat generated by the electric boiler .

4. The method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment according to claim 1 is characterized in that: The ground source heat pump model is ,in: is the heat generated by the ground source heat pump at time t, is the heat production efficiency of the ground source heat pump, The power consumption of the ground source heat pump at time t; the input of the ground source heat pump model is the power consumption of the ground source heat pump , the output is the heat generated by the ground source heat pump ; The power network model described above adopts the radial distribution network linear power flow model to describe the power network in the integrated energy system, considering the current status of closed-loop design and open-loop operation in the distribution network, while ignoring branch losses. The simplified branch power flow equation is: , , ,in: and are the active and reactive powers flowing from node h to node j respectively; and are the active and reactive powers flowing to the load at node h, respectively; and are the resistance and reactance of branch ih respectively; and are the voltage amplitudes at nodes h and i, respectively; The thermal network model includes a primary heating network and a secondary heating network, and has dynamic delay characteristics and energy storage characteristics. It is modeled using a mass regulation method, that is, the mass flow rate of hot water in the heating network is not changed, only the water temperature is adjusted, and the heat loss of the return pipe is taken into account. The primary heating network is provided with heat by a heat exchange station with heating equipment, and heat users obtain heat through the secondary heating network.

5. The method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment according to claim 1 is characterized in that: The simulation solution specifically includes: Step 3.1: Design an integrated energy system operation scenario, including equipment such as large thermal power units, power-to-gas equipment, gas turbines, waste heat boilers, gas boilers, photovoltaics, electric boilers, ground-source heat pumps, and electric thermal energy storage, as well as electric thermal load users. Step 3.2: Analyze the impact of thermal network modeling.

6. The method for simulating and configuring a low-carbon integrated energy system taking into account the installation of carbon capture equipment according to claim 1, wherein: The optimal configuration scheme of the analysis integrated energy system specifically includes: Step 4.1: Configuration solution analysis; Step 4.2: Carbon trading price analysis; Step 4.3: Analysis of the impact of carbon price changes; Step 4.4: Analyze the relationship between marginal carbon price and carbon capture installation.

7. A system for implementing the low-carbon integrated energy system simulation and configuration method according to any one of claims 1 to 6, taking into account the installation of carbon capture equipment, characterized in that: include: An integrated energy system modeling unit, an integrated energy system scheduling unit, and an integrated energy system configuration unit, wherein: the integrated energy system modeling unit performs mathematical modeling based on the selected equipment and network information to obtain the equipment and network model; the integrated energy system scheduling unit performs mathematical modeling based on the operation objectives and constraints of the integrated energy system to obtain the scheduling model; the integrated energy system configuration unit processes the equipment and network model and the scheduling model based on the MATLAB platform, calls the Gurobi solver through the Yalmip toolbox to solve, and obtains the integrated energy system configuration plan.

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