106 results about "Power to gas" patented technology

The invention discloses a power-to-gas (P2G) multi-source energy storage type microgrid day-ahead optimal economic dispatching method. The method comprises the steps of building a P2G multi-source energy storage type microgrid model by performing modeling on a P2G multi-source energy storage type microgrid by adopting an energy concentrator method, establishing a supply side matrix expression, a conversion component matrix expression and a load side matrix expression, simultaneously establishing a supply side matrix, a conversion component matrix and a load side matrix, and obtaining a matrix expression of an energy relationship of the P2G multi-source energy storage type microgrid; and establishing a day-ahead P2G multi-source energy storage type microgrid economic dispatching model, which comprises target functions, component models and constraints. According to the method, a second microgrid is added to a power storage and heat storage device on the basis of a first microgrid, so that the wind curtailment amount is slightly reduced, the system cost is also reduced, and the advantages of multi-source energy storage are reflected; and a third microgrid is added to a P2G device, so that the wind curtailment amount is greatly reduced, the utilization rate of a fan is increased to a great extent, and the unique advantages of the P2G multi-source energy storage in the aspect of wind energy absorption are proved.

The invention relates to a method for operating a power-to-gas arrangement that is to say an arrangement which generates a gas, for example hydrogen and / or methane and / or the like, from electrical energy, wherein the power-to-gas unit for generating the gas draws electrical energy from an electrical grid, to which the power-to-gas unit is connected, wherein the grid has a predetermined setpoint frequency or a setpoint frequency range, wherein the power-to-gas unit reduces the consumption of electrical power by a predetermined value or consumes no electrical power when the grid frequency of the electrical grid is below the desired setpoint frequency of the grid by a predetermined frequency value and / or when the grid frequency drops with a frequency gradient, specifically with a change over time (Δf / Δt), of which the magnitude exceeds a predetermined magnitude of change.

The invention discloses a method for simulating energy flow based on a transient model of a power-gas interconnection comprehensive energy system. The method comprises the following steps of 1) by considering dynamic characteristics of a slow process of a natural gas pipe network, building a transient model of the natural gas pipe network; 2) by adopting an implicit finite difference method, dividing a time-space partial differential equation for describing dynamic characteristics of gas flow of a natural gas pipeline into algebraic equation expressions; 3) coupling a power network and the natural gas pipe network through a gas turbine and a power-to-gas technology, and building the transient model of the system; 4) solving multi-time-period transient energy flow of the power-gas interconnection comprehensive energy system; and 5) performing performance testing in the comprehensive energy system. According to the method provided by the invention, the calculation precision is effectively improved and a real-time running state of a natural gas system can be described more accurately.

The invention relates to the fields of micro-energy grid and distributed energy planning, provides a micro-energy grid multi-objective planning method considering a power-to-gas technology and renewable energy utilization, and has the guiding significance for micro-energy grid planning comprising a wind generator, photovoltaic, cooling, heating and power combined system, a P2GSS, a storage batteryand the like. The invention discloses the micro-energy grid multi-objective planning method based on the power-to-gas technology and renewable energy utilization; the method comprises the steps that(1) modeling of a micro-energy grid is carried out; (2) the whole life cycle cost of the micro-energy grid is calculated on the basis of a full life cycle method, wherein the minimum total life cyclecost, and the lowest annual carbon dioxide emission amount are taken as an optimization objective, and the influence of the electric refrigeration proportion and the electric heating proportion and other operation modes is considered, and a multi-objective optimization configuration method aiming at the capacity of the key equipment of the micro-energy grid is established; and (3) the multi-objective planning method for the micro-energy grid is provided through comparison of different scenes. The method is mainly applied to the micro-energy grid and distributed energy planning occasions.

Aiming at the deficiencies of energy flow models, load cut-down models and reliability assessment indexes of the existing power-gas interconnection system reliability assessment, the invention discloses a power to gas (P2G) device-considered power-gas interconnection system reliability modeling method and an assessment method thereof. The method comprises the following steps of in an energy flow model, importing a wind power plant abandoned air volume, and consumed electric power and injected air volume in a P2G device model into an electric power system active balance model; adding a heat load cut-down amount and an abandoned air volume variable in a target function of an optimization model in the load cut-down model; and in a reliability assessment index, establishing a device-level index, for system reliability index contribution, of a P2G device.

The invention discloses an optimal scheduling method of an integrated energy system considering the power-to-gas (P2G) running cost, comprising the following steps: establishing an energy hub model containing P2G, analyzing the influence of the P2G running cost on the system economy and the wind power acceptance capacity on the basis of the model, and establishing a multi-objective day-ahead optimal scheduling model; and coordinating the contradictory relation of the multi-objective day-ahead optimal scheduling model through a weighted fuzzy programming method to realize the transformation from multiple objectives to a single objective. The multi-objective model proposed in the invention takes both the system economy and the wind power acceptance capacity into consideration, and diversified choices can be provided for scheduling decision making.

The invention aims at absorbing all renewable energy, realizing peak clipping and value filling of the large power grid, improving economical benefit and adjusting accuracy of an energy hub with CCHP, and reducing the transmission cost of natural gas. An energy hub model with a power to gas function, energy storage, CCHP and electric energy feedback is constructed. Factors including a power to gas commissioning factor of a fuel and purchase based electric charge rate structure and nondeterminacy of self gas utilization and wind power output of the energy hub are taken into consideration, the energy hub model is optimized to make the fuel cost of the energy hub minimal and the energy interaction cost of the main grid minimal, and the effectiveness of the constructed energy hub model is determined.

The invention relates to an off-grid integrated energy system double-layer planning method. The method comprises the steps of: obtaining renewable energy typical day data, cold, heat and electric loadhistorical data, equipment parameters in an integrated energy system, operation parameters and operation conditions of the integrated energy system; constructing a mathematical model of each energy supply device in the comprehensive energy system; according to the structure of the comprehensive energy system, constructing the double-layer optimization model of the comprehensive energy system, enabling the upper-layer optimization model to plan the system equipment capacity with the minimum total cost of the off-grid integrated energy system as the target, and enabling the lower-layer optimization model to optimize the system operation state with the minimum system load shortage as the target; and solving the double-layer optimization model to obtain the optimal capacity configuration result of the integrated energy system. An electricity-to-gas conversion device is applied to off-grid integrated energy system planning, the electricity-gas coupling performance is improved, the system cost is reduced, and the economy of the system is improved.

The invention discloses a multi-region electricity-gas coupling comprehensive energy system optimal scheduling method considering tiered gas prices. The method comprises the following steps: S1, a typical combined cooling heating and power supply system are adopted in an energy supply mode of a comprehensive energy system in a region, power-to-gas equipment and gas storage equipment are arranged to consume new energy to achieve energy standby application, and a gas bus is added for constraint modeling; S2, energy connection is achieved through coupling interconnection of electric energy and natural gas between regions, the natural gas serves as main complementary energy, and an electricity-gas steady-state coupling linear power flow algorithm is completed in combination with a second-ordercone relaxation and incremental linearization method; S3, based on the electricity-gas steady-state coupling linear power flow, a double-layer linearization algorithm is adopted to solve the nonlinear problem of a compressor gas consumption model; and S4, a traditional day-ahead economic dispatching target function is optimized and perfected, the tiered gas price is considered to achieve optimaldispatching by taking the minimum total operation cost of all parks as a target through energy interconnection distribution among different functional areas, namely a residential area, a commercial area, an office area, an industrial area and the like.

The invention discloses a planning method of an electricity-heat-hydrogen multi-energy system considering uncertainty. Firstly, a multi-energy system model is established according to an energy supplyand demand relationship; aiming at the defects that an existing electricity-to-gas technology in a model is large in energy loss, a single operation mode of a combined heat and power generation unitis difficult to be matched with renewable energy output and the like, measures of preferentially supplying hydrogen generated by P2G to a fuel cell vehicle, switching a CHP operation mode according tothe renewable energy output and the like are provided. Secondly, for the influence of renewable energy output uncertainty on system planning, an uncertainty scene is described based on a scene method; thirdly, a multi-objective mathematical model is established with the minimum economic cost, the maximum renewable energy comprehensive utilization rate and the minimum energy supply as objectives,and constraint conditions are provided. Finally, the model is solved by adopting a multi-objective particle swarm algorithm and a fuzzy membership function. The method is helpful for planning and design of a multi-energy system with large-scale renewable energy access to a certain extent.

The invention discloses a wind power plant and power-to-gas plant and station collaborative location planning method. The method comprises the following steps: 1) establishing a mathematic model of a power-to-gas plant and station; 2) with historical wind speed time series being an original scene, carrying out clustering analysis on a large number of historical data by utilizing a density-based clustering algorithm to obtain a reduced wind power plant output scene; 3) according to the mathematic model obtained in the step 1) and the wind power plant output scene obtained in the step 2), and with net investment income maximization being an optimization objective, establishing a collaborative location planning mathematical model based on scene analysis; and 4) according to the steps 1)-3), solving the constructed collaborative location planning mathematical model of the wind power plant and the power-to-gas plant through an AMPL / BONMIN solver to obtain a planning result. The collaborative location planning method can take technical features of operation of the power-to-gas plant and station into consideration, can evaluate and analyze economy of the planning scheme and can effectively reduce system wind abandoning quantity.

The application relates to a process for operating in starting mode or in stand-by mode a unit, termed power-to-gas unit, comprising a number N of reactors (1) with a stack of elemental electrolysis cells of solid oxide type (SOEC), the cathodes of which are made of methanation reaction catalyst material(s).

The invention relates to a power-to-gas conversion technology-based regional integrated energy system online optimization method. The method includes the following steps that: the real-time information of the status of a system is obtained; when an event is triggered, the system will generate triggering signals and notify a power controller to respond to the event; Lyapunov-based based energy online optimization is adopted to obtain the current optimal actual power consumption X(t) of HVAC; and energy scheduling is performed for other units in the system. According to the method of the invention, the controllable load HVAC is adopted as a decision-making subject, so that event-driven energy online optimization can be realized. The method aims to ensure the comfort of a user while minimizing the cost of the user, and at the same time, absorb renewable energy as much as possible, improve an energy utilization rate, and achieve online energy collaborative optimization for a supply side and a demand side. Since the HVAC is adopted as the decision-making subject, and collaborative optimization of the supply side and demand side is realized, the comfort of the user can be ensured, the cost of the user can be minimized, and therefore, a fast scheduling method can be expected to be provided for the energy management of an integrated energy system.

The invention relates to a micro-energy network multi-time scale optimization control method based on double-layer model predictive control. A micro-energy network is coupled with three energy sources of electricity, heat and gas, and electricity-to-gas and battery-supercapacitor hybrid energy storage equipment is integrated into the micro-energy net. The invention provides a multi-time scale optimization control method based on double-layer model predictive control aiming at the problem of low reliability of an optimization control result of a micro-energy network system caused by uncertain factors such as wind and light output and load demand, and the multi-time scale optimization control method comprises an upper layer of long-time scale rolling optimization and a lower layer of short-time scale real-time rolling adjustment. The upper layer makes a long-time scale scheduling plan through multi-step rolling solution by taking system operation economy optimization as a target and combining time-of-use electricity price and natural gas price; and the lower layer aims at tracking the upper layer scheduling plan, and a super capacitor is introduced to cope with short-time scale power fluctuation of wind, light and load. According to the method, economical and safe operation of the micro-energy network can be realized on the premise of ensuring the wind and light absorption capability of the micro-energy network.

The invention relates to an energy hub modeling method considering a solid oxide fuel cell and electricity-to-gas, which comprises the following steps of: S1, researching an electricity-to-gas model,a hydrogen storage tank model and a solid oxide fuel cell model before respectively establishing models for conversion equipment; S2, constructing an electricity-to-gas conversion model and a hydrogenstorage tank model; S3, for the solid oxide fuel cell model, describing an SOFC power generation mathematical model through the current I flowing out of the galvanic pile and the port voltage U, andthen obtaining an SOFC heating mathematical model by calculating the subtraction between the energy released in the chemical reaction process of the hydrogen supplied by the hydrogen storage tank andthe SOFC power generation amount; and S4, finally, when an energy hub optimization model is constructed, giving a cost calculation formula, meanwhile, establishing a unit model and constraint conditions, and the constraint conditions include power balance constraints, tie line constraints, water abandoning constraints and equipment model constraints. Meanwhile, the conversion efficiency between system energy sources is improved.

The invention relates to high-grade acid resistant bituminous paint, which is further improvement of common paint. Firstly, petroleum pitch is heated, dehydrated and decontaminated; secondly, hot tung oil and drier are added and then xylene is added; thirdly, solvent gasoline is added for adjusting the viscosity. The paint has certain antiseptic power to gas such as chlorine, hydrogen chloride, sulfur dioxide, ammonia, ammonia oxide and so on and corrosive media such as low-concentration mineral acid solution, caustic alkali and so on, is suitable for indoor engineering, and can be used for protecting steels, concrete and woody elements.

The invention relates to an optimal scheduling method for an electrical comprehensive energy system. Specifically, the invention relates to a comprehensive energy system source-load low-carbon economic dispatching method considering a carbon capture system. A carbon storage device is used as a pivot to connect a carbon capture power plant and an electricity-to-gas conversion device; and introducing comprehensive demand response, the electricity-gas comprehensive energy low-carbon economic dispatching method with the optimal comprehensive cost is provided, plays a very important role in promoting wind power consumption and reducing system carbon emission, and has very important practical significance and application and popularization value in improving the economical efficiency and low-carbon environmental protection performance of operation of an electricity-gas comprehensive energy system.

The invention discloses an electricity-to-gas conversion-gas storage-gas turbine capacity optimal configuration method and system with wind curtailment participating in power grid frequency modulation. According to the invention, an operation scene of producing natural gas by utilizing abandoned wind through PtG is innovatively proposed, the natural gas is stored through a gas storage tank, poweris generated through a gas turbine unit (NGGU) to participate in frequency modulation, and a coordinated operation strategy of each device is proposed; then, according to the operation strategy, a cost-income model of the PtG, the gas storage tank and the NGGU participating in the frequency modulation process is constructed in the operation strategy, and capacity optimal configuration of each device is realized by taking maximization of net income as a target; finally, the actual wind curtailment of a certain wind power plant and an actual issuing instruction of certain automatic generation control (AGC) are taken as references; planning calculation is carried out through a particle swarm optimization algorithm, and the economy and feasibility of participating in the frequency modulation auxiliary service of the power market under the optimal configuration of PtG, gas storage and NGGU capacities by utilizing the wind curtailment and PtG technologies of the wind power plant are analyzedthrough results.

Thus, a method for operating a wind turbine, a wind farm or the like and a power-to-gas unit connected electrically thereto is provided. The wind turbine or the wind farm generates electric power if there is sufficient wind and feeds this power into an electrical grid connected to the wind turbine or to the wind farm. Each wind turbine is operated with a predetermined power curve. Electric power is generated by the wind turbine or the wind farm once a first wind speed (starting wind) has been reached. The wind turbine or the wind farm is in a partial-load operating mode as long as the wind speed is between the first wind speed (starting wind) and a second wind speed (nominal wind). The wind turbine or the wind farm is in a nominal power range when the wind speed is in a range which is greater than the second wind speed (nominal wind speed). Electric power generated by the wind turbine or the wind farm, preferably at least a predetermined proportion of said power, is consumed in the power-to-gas unit, with the result that a combustible gas, in particular hydrogen and / or methane gas or the like, is generated in the power-to-gas unit. The proportion of the electric power which is generated by the wind turbine or the wind farm in the partial-load operating mode and is not consumed in the power-to-gas unit is set to be virtually constant for a predetermined time segment, for example 10 minutes or more, for example 1 hour.

The invention relates to a combined biding method for a power-to-gas unit and a gas unit in a power market and a natural gas market. The method comprises the following steps: firstly, generating a scene set containing probabilistic information by adopting latin hypercube sampling, and cutting scenes by using a scene cutting algorithm; secondly, respectively constructing a P2G (pravate to government) equipment individual participation market biding model, an NGGU individual participation market biding model and a P2G equipment and NGGU cooperative bidding model by taking revenue maximization as a target according to the scene set obtained in the first step, and determining bidding strategies at various trading periods on the next day and incomes of all the models; thirdly, reasonably allocating the incomes of the P2G equipment and the NGGU by adopting a Shapely value method according to the bidding strategies at the various trading periods on the next day and the incomes of all the models obtained in the second step; fourthly, submitting a biding strategy to a power market according to the biding strategies at the various trading periods on the next day and an income allocating scheme obtained according to the first step, the second step and the third step.

The invention relates to the technical field of virtual power plant optimization, in particular to a virtual power plant optimization scheduling method considering electricity-to-gas coordination, which comprises the following steps: introducing a carbon capture power plant electricity-to-gas gas unit coordinated operation framework into a virtual power plant, and constructing a virtual power plant system; performing combined scheduling operation of a carbon capture power plant, a waste incineration power plant and wind and light in a virtual power plant, optimizing a virtual power plant system by taking the carbon capture power plant and the waste incineration power plant as controllable units, and establishing a virtual power plant optimal scheduling model; and solving the virtual powerplant optimal scheduling model by adopting a reverse cotangent composite differential evolution algorithm. CO2 captured by carbon can be used as an electricity-to-gas raw material, and generated natural gas is supplied to a gas unit; and the carbon capture energy consumption and the flue gas treatment energy consumption are subjected to load transfer through combined scheduling so as to stabilizerenewable energy fluctuation, so that the wind power photovoltaic is indirectly schedulable and is flexibly utilized, and internal resources are more effectively utilized.

The invention relates to an integrated energy system two-stage optimization scheduling method considering demand response. The method comprises the following steps: establishing a combined heat and power generation unit collaborative operation model considering power-to-gas equipment, a carbon capture system and a distributed power supply; establishing an integrated energy system optimization scheduling model of the combined heat and power generation unit collaborative operation model and a user demand response model based on evolutionary game; a comprehensive energy system operator is used as a leader, a user side is used as a follower, a two-stage optimization model of a master-slave evolutionary game is provided, and the master-slave game is solved by using a KKT condition, a Big-M method and a dual theorem. According to the model and the scheduling strategy provided by the invention, the consumption of renewable energy sources is effectively improved, the phenomena of wind curtailment and light curtailment are reduced, the emission of CO2 is reduced, and the energy consumption benefit of a user side is improved while the operation cost of a comprehensive energy system is reduced.

The invention discloses an optimization method of a comprehensive energy system containing electricity-to-gas and carbon capture equipment. The energy equipment of the comprehensive energy system comprises a wind turbine generator, a photovoltaic unit, a cogeneration unit, a micro gas turbine, an absorption refrigerator, electricity-to-gas equipment, carbon capture equipment and an electric refrigerator. The optimization method of the integrated energy system comprises the following steps: acquiring an initial carbon emission distribution limit, an actual carbon emission amount and a carbon emission amount price of the integrated energy system, and fuel cost and power purchase cost of energy equipment; obtaining carbon transaction cost by using a carbon transaction cost model of the integrated energy system; obtaining the operation cost by using the operation cost model of the integrated energy system; and on the basis of the carbon transaction cost and the operation cost, the optimal scheduling model is solved by adopting YALMIP and GUROBI, and the lowest comprehensive operation cost is obtained. According to the optimization method disclosed by the invention, the consumption capability of renewable energy sources is improved, and the carbon emission and the operation cost of the integrated energy system are reduced.

A regional energy internet reliability evaluation method considering multivariate energy storage comprises the steps: establishing mathematical models of all devices in a regional energy internet respectively, wherein the devices in the energy internet comprise a combined heat and power generation unit, a power-to-gas conversion device and a power storage battery; establihsing mathematical modelsof a natural gas subsystem and a thermal subsystem in the energy internet; selecting regional energy internet reliability evaluation indexes; analyzing regional energy internet faults; and carrying out regional energy internet reliability evaluation considering multivariate energy storage. According to the invention, a research object of reliability evaluation can be expanded from a park-level comprehensive energy station to a regional-level energy internet, and the influence of multivariate energy storage resources on reliability evaluation is comprehensively considered, so that the planningand operation of the regional-level energy internet are reasonably guided; in addition, the fault chain reaction between different energy subsystems is considered, and the mutual influence after the faults of the energy subsystems can be effectively recognized and avoided.

The present invention provides a gas-fired virtual power plant structure dispatching optimization method in consideration of uncertainty. The method comprises the steps: firstly, constructing a gas-fired virtual power plant structure and determine the flow of electricity, natural gas and carbon dioxide, wherein the gas-fired virtual power plant structure includes a wind power unit, a photovoltaicunit, and an electricity-to-gas unit; secondly, constructing the output power models of the respective units separately, and establishing an objective function according to the economic benefits of the output power models of the respective units; finally, introducing the conditional value-at-risk of the wind power and photovoltaic joint output of the virtual power plant into the objective functionof economic benefit dispatching, comprehensively considering the economic benefits and the degree of risk of the operation of the virtual power plant, controlling the risk level within an acceptablerange to achieve the optimal economic benefit, and formulating a virtual power plant dispatching optimization method. The method can optimize the operation of the virtual power plant, improve economicbenefits, reduce carbon emissions, greatly improve energy utilization efficiency, and solve the existing operation problems of the virtual power plant.

The invention provides a power-to-gas equipment capacity optimization configuration method giving consideration to wind power consumption, and the method comprises the following steps: 1), obtaining the wind power output and the power and natural gas load data of a region last year where a power-gas combined network is located; 2), obtaining the parameters of a generator, a gas source and power-to-gas equipment in the network; 3), giving consideration to the constraint from the power-to-gas equipment, introducing a winding curtailment quantity as a penalty term, and building a power-gas combined network yearly cost optimal model; 4), solving the power-gas combined network yearly cost optimal model through employing a primal-dual interior point method, and obtaining the minimum yearly cost of the combined network and an optimization configuration capability of the power-to-gas equipment at this moment. The method provided by the invention achieves the configuration of the capacity of the power-to-gas equipment in the network, and can effectively reduce the yearly cost and wind curtailment rate.

The invention discloses a day-ahead robust coordinated optimization scheduling method for a pneumoelectric combined system. The gas turbine units located at the same geographic position are arranged.The electricity-to-gas conversion equipment and the natural gas storage equipment are modeled into an energy hub; the robust optimization model of the pneumoelectric combined system is solved througha main problem-sub problem framework of a CCG method; nonlinear natural gas constraints are subjected to linearization processing through piecewise linearization and are added to the main problem forsolving; in addition, a double-layer safety check sub-problem is converted into a single-layer bilinear problem, then the single-layer bilinear problem is rewritten into a mixed integer programming form through an extreme point method, and simulation analysis shows that the electricity-to-gas conversion equipment can effectively reduce the wind curtailment rate by converting surplus wind power generation into natural gas. The robust optimization model can guarantee the operation safety of the pneumoelectric combined system under the condition that the power load and the wind power generation are uncertain, and generally, more units are invested to provide enough system climbing capacity.

The invention discloses a day-ahead optimal scheduling method for a micro energy network containing power to gas (P2G) equipment. Firstly, an electricity, gas, heat and cold combined supply micro energy network model is established in an energy concentrator mode; the energy concentrator comprises a micro gas turbine, a P2G, an electric boiler, a gas-fired boiler, an electric refrigerator, an absorption refrigerator and other energy coupling devices. Secondly, a day-ahead optimal economic dispatch model with the lowest operation cost of the micro energy network and P2G income considered is established, and the economy of the P2G to the micro energy network and the absorption capacity of the P2G to renewable energy sources are investigated; the economic dispatch model comprises an objectivefunction, an element model and network constraints. Finally, verification is carried out in a contrast setting mode, and results show that P2G plays a positive role in system operation cost and renewable energy consumption.

The invention discloses a day-ahead scheduling method and system for providing flexible adjustment service based on electricity-to-gas conversion. The method comprises the steps of determining outputvoltage of an electrolysis chamber according to electricity-to-gas parameters and the current density, determining the power consumption according to the output voltage and the current density of theelectrolysis chamber and the hydrogen production flow according to the power consumption; determining an electricity-to-gas operation constraint condition according to the adjustment ranges of the output voltage, the power consumption, the hydrogen production flow and the current density of the electrolysis chamber; and establishing a day-ahead scheduling model according to the power-to-gas operation constraint condition, solving the day-ahead scheduling model to obtain the power consumption of the power-to-gas system, and performing day-ahead scheduling according to the power consumption of the power-to-gas system. By adopting the method and the system, the operation characteristics of the water electrolysis link are considered, and the operation flexibility of the power system is improved.

The invention discloses a low-carbon economic dispatching method for an integrated energy system containing P2G and energy storage, and the method comprises the steps: introducing a power-to-gas equipment operation mechanism and a carbon transaction mechanism into an integrated energy system model of a multi-energy coupling unit, so as to reduce the operation cost of the integrated energy system. The method comprises the following steps: firstly, comprehensively considering the characteristics of each unit in an integrated energy system, constructing a regional integrated energy system joint scheduling structure comprising power-to-gas equipment P2G, energy source equipment, storage equipment and conversion equipment, analyzing the working mechanism of the power-to-gas equipment P2G, and establishing a carbon transaction model of the power-to-gas equipment P2G; secondly, establishing an integrated energy system optimization operation model considering the carbon transaction cost by taking system operation profit maximization as a target; and finally, verifying that the proposed model participates in the carbon trading market through simulation cases, so that the economic cost of the system can be reduced, the dependence of the comprehensive energy system on the external market is reduced, and the feasibility and economy are relatively high.