CN-122022513-A - Carbon energy interactive response and seasonal low-carbon economic optimization scheduling method for comprehensive energy

CN122022513ACN 122022513 ACN122022513 ACN 122022513ACN-122022513-A

Abstract

The invention discloses a carbon energy interactive response and seasonal low-carbon economic optimization scheduling method for comprehensive energy, which decomposes annual carbon emission quota to each scheduling period by introducing a carbon transaction discretization processing method, and endows various energy bodies with instant quota and emission values so as to align carbon elements with energy transactions of hour level and even minute level on a time scale. The method overcomes the limitation that the traditional carbon transaction mechanism is difficult to cooperate with short-term energy scheduling, and embeds the carbon transaction price into the energy price of electricity, gas, heat and the like by establishing a novel carbon energy combined transaction market model to form a unified carbon energy interactive price signal. The mechanism not only realizes the fusion of the multi-energy market and the carbon market, but also dynamically reflects the carbon emission difference of each energy production link through the carbon price correction coefficient, thereby guiding the optimized operation of the distributed energy, energy storage and coupling equipment in the system by price means.

Inventors

SHI LINJUN
HU GUOXIANG
WU FENG
LI YANG
FU HAO
LIN KEMAN
WU CHENYU

Assignees

河海大学

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. The carbon energy interactive response and seasonal low-carbon economic optimization scheduling method for the comprehensive energy is characterized by comprising the following steps of: S1, an optimized operation model of an energy network containing electricity, gas, cold and heat is built, wherein a photovoltaic unit, a wind turbine, a storage battery, an external power grid and a cogeneration unit are used for meeting electricity requirements, a gas network, electric gas conversion equipment, a gas storage tank and a seasonal gas storage tank are used for meeting the gas requirements, an electric refrigerator, an absorption refrigerator and a cold storage tank are used for meeting the cold requirements, and an electric heating boiler, a heat storage tank and the cogeneration unit are used for meeting the heat requirements; S2, a carbon transaction discretization processing method is adopted to solve the problem that significant time scale difference exists between carbon transaction and energy transaction, and the method is characterized in that key parameters are introduced to decompose and distribute total carbon emission quota and actual carbon emission amount which are originally periodic in a year to each scheduling period for calculation; S3, a novel carbon energy combined transaction market model is established, a carbon transaction price is embedded into an energy price mechanism, deviation between carbon emission quota and actual emission is corrected by fusing carbon transaction and energy transaction, various resource interactive prices among all main bodies in the comprehensive energy system are integrated into carbon energy interactive prices uniformly, and the carbon transaction reward price mechanism is embedded into the energy price by introducing a carbon price correction coefficient, so that a foundation is laid for subsequently introducing seasonal low-carbon demand signals; S4, introducing seasonal low-carbon demand signals, constructing a carbon energy interaction response mechanism model, and realizing cooperation through two time scales, firstly developing medium-and-long-term carbon emission planning according to historical data through a time sequence analysis method, and generating low-carbon demand signals; S5, establishing a seasonal low-carbon economic optimization scheduling model taking the uncertainty of new energy into consideration and taking the minimum operation cost and carbon emission as targets, and taking the low-carbon economic operation of the comprehensive energy system as a target function model, namely the minimum carbon emission and the minimum operation cost, so that the result of the optimized operation of the comprehensive energy system can be obtained.
2. The method for optimizing and scheduling carbon energy interactive response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the novel carbon energy combined transaction market model is as follows: ; In the formula, 、、 Electricity price, gas price and heat price of the novel carbon energy combined trading market are respectively; 、、 Electricity price, gas price and heat price in the traditional energy market and carbon trade market; price rewarding and punishing for carbon transaction; 、、 The carbon number correction coefficients for electricity, gas and heat are related to the production of the body in the integrated energy system.
3. The method for optimizing and scheduling carbon energy interaction response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the carbon energy interaction response mechanism model is as follows: ; ; ; ; ; In the formula, 、、、 Carbon emissions for IES at each season; is the first Total carbon emissions of month IES; Is month; 、、、 a carbon emission seasonal wave component for IES in each season; 、、、 Respectively representing low-carbon demand signals of four seasons; To reduce load; In order to be able to transfer the load, 、 Respectively is Initially reducing the load and the transferable load at the moment; 、 the load can be reduced and the proportion of the load can be transferred in the load can be reduced respectively; is the initial load; the price of the electric carbon before responding to the demand; 、 The method comprises the steps of respectively adopting a load-reducible elastic matrix and a load-transferable elastic matrix, analyzing the seasonal characteristics of IES carbon emission by a carbon energy interaction response mechanism by adopting a time sequence analysis method, embedding a low-carbon demand signal into a carbon energy interaction pricing mechanism, and guiding seasonal emission reduction by an economic means.
4. The method for optimizing and scheduling carbon energy interaction response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the objective function model is: ; ; ; ; In the formula, And (3) with Respectively is And (3) with The value after normalization treatment is subjected to primary scheduling by solely using the minimum cost to obtain the pure economic optimal cost, and primary scheduling by solely using the minimum carbon emission to obtain the pure low carbon optimal emission, wherein the specific calculation method is to divide the corresponding value by the maximum value; And (3) with Respectively with different weights, the duty ratio satisfies ; The operating cost of the energy conversion equipment; the energy cost is purchased for the upper network; maintenance costs for operation of the energy storage system; 、、、 is the first Cost coefficients for the individual electric heating units; 、 the conversion coefficients of the comprehensive energy system selling electricity to the power grid and the air network are respectively represented; 、、、 Respectively represent The comprehensive energy system is used for purchasing electricity quantity, selling electricity quantity, purchasing gas quantity and selling gas quantity of the upper network at any moment; 、、、、 and the operation and maintenance cost coefficients of the storage battery, the heat storage tank, the air storage tank, the seasonal air storage tank and the cold storage tank are respectively represented.
5. The method for optimizing and scheduling carbon energy interaction response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the optimizing operation model is as follows: a. Wind turbine generator and photovoltaic array model: ; In the formula, The output power of the wind turbine generator is; quota amount allocated to the wind turbine generator; And Respectively distributing reference values for power supply quota of the wind turbine generator system and the photovoltaic array; Output power for the photovoltaic array; a quota amount allocated for the photovoltaic array; b. cogeneration unit model: ; In the formula, Output electric power for CHP; output thermal power for CHP; the input gas power for CHP; Is the electrical conversion efficiency; The electric heating ratio is the cogeneration; Carbon removal amount for CHP; carbon removal coefficient for natural gas combustion of CHP; Quota amount allocated for CHP; Is a power supply reference value; For a heating reference value; the heating power correction coefficient for CHP; c. model of electric heating boiler: ; In the formula, Output thermal power for EB; conversion efficiency for EB; Revenue electric power for EB; quota amount allocated for EB; allocating a reference value for the EB heat supply quota; d. Electric gas conversion equipment model: ; In the formula, The output gas power of the PTG unit; Conversion efficiency for PTG; Input gas power for the PTG; regarding the carbon emission consumed in the process of producing natural gas as an effective benefit for participating in carbon trade; Carbon consumption coefficient for producing natural gas; quota amount allocated for PTG; Allocating a reference value for the PTG air supply quota; e. Model of electric refrigerator: ; In the formula, Outputting cold power for the EC; Is EC comprehensive performance coefficient; Inputting electric power for the EC; quota amount allocated for EC; Is a power supply reference value; f. Absorption chiller model: ; In the formula, Outputting cold power for the AC; is the AC comprehensive performance coefficient; Inputting thermal power for the AC; An amount of quota allocated for the AC; Is a power supply reference value; g. Storage battery model: ; ; In the formula, In the accumulator A state of charge at time; In the accumulator The amount of self-loss at the moment; the energy charging efficiency of the storage battery is improved; The energy release efficiency of the storage battery is achieved; Is the maximum capacity of the accumulator; And Maximum power when charging and discharging the storage battery; And Minimum power when charging and discharging the storage battery; And The charge and discharge state coefficient of the storage battery is 0-1 variable.
6. The method for optimizing and scheduling carbon energy interactive response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the optimizing operation model further comprises an upper network power interactive constraint model, and the model is: ; ; In the formula, And The power interacting with the grid for IES and the natural gas network; And The maximum power value of the power interacting with the power grid and the gas grid respectively; Carbon emission caused by purchasing electricity from a power grid; carbon removal coefficient of the power grid; And Carbon emission coefficients for natural gas and coal combustion; And The system is a gas unit duty ratio and a coal-fired unit duty ratio of an area power grid where the IES is located.
7. The method for optimizing and scheduling carbon energy interactive response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the optimizing operation model further comprises a system power balance constraint model, and the model is as follows: ; In the formula, 、、、 Respectively the power of electric, hot, gas and cold load; is the carbon emission quota amount of external transaction.
8. The method for optimizing and scheduling carbon energy interaction response and seasonal low-carbon economy of comprehensive energy according to claim 1, wherein the seasonal low-carbon economy optimizing and scheduling model is as follows: ; ; In the formula, For seasonal air storage tank A state of charge at time; For seasonal air storage tank The amount of self-loss at the moment; The energy filling efficiency of the seasonal air storage tank is improved; The energy release efficiency of the seasonal air storage tank is achieved; Maximum capacity for seasonal air reservoirs; And Maximum power when the seasonal air storage tank is charged and discharged; And Minimum power when the seasonal air storage tank is charged and discharged; And The system is characterized in that the system is provided with a seasonal energy storage device, a charging and discharging state coefficient of the seasonal energy storage device is 0-1 variable, the core function of the seasonal energy storage device is to realize the transfer and allocation of energy in a longer period, the planning period is obviously different from other conventional devices in the system, an overall strategy is usually formulated in advance at the seasonal level, the seasonal energy storage device is converted into an intra-day scheduling level, other devices are directly brought into the intra-day scheduling level, the actual charging and discharging operation of the seasonal energy storage device is in the same scheduling plane with other energy conversion and energy storage devices on a time scale even though the actual charging and discharging operation of the seasonal energy storage device is in the daytime period, the functional targets born by the seasonal energy storage device are basically different, so that the charging and discharging behaviors in a single day are relatively simplified and the single mode on the operation mode, and the system modeling is required to ensure that the seasonal energy storage device can perform differentiated charging and discharging scheduling in different days, so that the energy source is effectively supported and interacted on the cross-season scale.
9. A computer device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the carbon energy interactive response and seasonal low carbon economic optimization scheduling method of the integrated energy source of claims 1-8.
10. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, the computer program when executed by a processor implementing the steps of the integrated energy source carbon energy interactive response and seasonal low carbon economy optimization scheduling method of claims 1-8.

Description

Carbon energy interactive response and seasonal low-carbon economic optimization scheduling method for comprehensive energy Technical Field The invention relates to the technical field of comprehensive energy system optimization scheduling and carbon transaction, in particular to a carbon energy interactive response and seasonal low-carbon economic optimization scheduling method of comprehensive energy. Background With the development of the times and the social progress, the demand of people for energy is increased, non-renewable energy sources such as fossil are increasingly scarce, the problem of environmental pollution is more serious, compared with the traditional thermal power generation mode, the distributed renewable energy power generation mode represented by wind power and photovoltaics is cleaner and more efficient, and resources are saved, so that the method becomes a necessary choice for the sustainable development of world economy, the input operation of a comprehensive energy system can promote the absorption of renewable energy sources, effectively integrate different energy sources including renewable energy sources, and perform coupling conversion in links such as energy source production, transmission, distribution and consumption, so that the energy sources among a plurality of subsystems such as electricity, gas, cold and heat in the system are fully utilized and scientifically scheduled, the comprehensive energy system can also reduce carbon emission, reduce the environmental pollution degree, and the optimal operation problem is the research focus of a plurality of students in recent years. However, with the intensive research of integrated energy systems, low-carbon economic operation still faces many challenges, the existing carbon transaction mechanism generally performs quota allocation and performance on a annual cycle, while energy transactions are mostly scheduled and settled on an hourly or even minute level, and the mismatch of the two on a time scale causes difficulty in realizing the collaborative optimization of carbon emission and energy in a scheduling model, and in addition, the current research focuses on a single energy type or an electric-carbon coupling market, lacks systematic consideration on the collaborative operation of 'electric-heat-gas-cold-carbon' multipotency flows, and particularly, has insufficient seasonal carbon emission planning, so that the system has difficulty in realizing the dynamic balance of carbon quota and energy supply and demand on an annual scale. Although researches are attempted to improve the low carbon property of the system by technical means such as stepped carbon price, carbon capture and electricity gas conversion, the view angle is limited to short-term energy regulation, the overall management of medium-long-term carbon emission is lacking, the load on the user side is influenced by factors such as climate and price, and the like, and the coordination difficulty of the system operation and carbon emission on multiple time scales is further aggravated, so that a carbon energy interaction mechanism which can synchronously realize the synergic clearing of energy and carbon quota and has seasonal regulation capability is needed to be constructed so as to promote the optimal operation of the comprehensive energy system under the dual goals of low carbon and economy. Disclosure of Invention The invention aims to provide a carbon energy interactive response and seasonal low-carbon economic optimization scheduling method for comprehensive energy. In order to achieve the purpose, the invention provides the following technical scheme that the carbon energy interactive response and seasonal low-carbon economic optimization scheduling method for comprehensive energy sources comprises the following steps: S1, an optimized operation model of an energy network containing electricity, gas, cold and heat is built, wherein a photovoltaic unit, a wind turbine, a storage battery, an external power grid and a cogeneration unit are used for meeting electricity requirements, a gas network, electric gas conversion equipment, a gas storage tank and a seasonal gas storage tank are used for meeting the gas requirements, an electric refrigerator, an absorption refrigerator and a cold storage tank are used for meeting the cold requirements, and an electric heating boiler, a heat storage tank and the cogeneration unit are used for meeting the heat requirements; s2, adopting a carbon transaction discretization processing method to solve the problem that significant time scale difference exists between carbon transaction and energy transaction, wherein the method is characterized in that key parameters such as quota allocation reference value, carbon emission coefficient and the like are introduced to decompose and allocate total carbon emission quota and actual carbon emission amount which originally take years as a period to each scheduling period for calcula