CN-121212447-B - Method, system, equipment and medium for balancing electric-thermal-hydrogen low-carbon operation

CN121212447BCN 121212447 BCN121212447 BCN 121212447BCN-121212447-B

Abstract

The invention provides a method, a system, equipment and a medium for balancing electric-thermal-hydrogen low-carbon operation, which relate to the field of comprehensive energy system optimization and low-carbon scheduling, and the method comprises the steps of obtaining comprehensive energy parameters of a park, inputting the comprehensive energy parameters into a preset upper-layer economic operation model, and calculating to obtain a minimum operation cost scheme; the method comprises the steps of inputting a minimum cost scheme into a preset carbon emission factor composite model, calculating to obtain a carbon emission factor corresponding to comprehensive energy, inputting the carbon emission factor into a preset lower carbon emission optimization model, calculating a load corresponding to the minimum carbon emission, updating an upper economic operation model based on the load to generate a new minimum operation cost scheme, and repeating the step of inputting the minimum operation cost scheme into the preset carbon emission factor composite model for iteration until a preset iteration condition is reached, so as to obtain a device output scheme corresponding to the minimum cost and the minimum carbon emission balance, and obtain a carbon emission mapping from a power supply to a terminal.

Inventors

XU CHUANBO
WANG YING
ZHANG XINGHAO
LI GENZHU
FAN HANG
LIU DUNNAN

Assignees

华北电力大学

Dates

Publication Date: 20260508
Application Date: 20250922

Claims (7)

1. A method of electro-thermal-hydro low carbon operation balancing comprising: Acquiring comprehensive energy parameters of a park, inputting the comprehensive energy parameters into a preset upper-layer economic operation model, and calculating to obtain a minimum operation cost scheme, wherein a formula of the upper-layer economic operation model comprises the following components: ; for the maintenance cost of the equipment, Is the cost of purchasing energy and the cost of purchasing energy, Is the charge-discharge life loss cost of the energy storage device; The method comprises the steps of inputting the minimum operation cost scheme into a preset carbon emission factor composite model, obtaining carbon emission factors corresponding to comprehensive energy through linear calculation and nonlinear calculation respectively, obtaining carbon emission of an integrated energy input end in an operation period based on the minimum operation cost scheme and a carbon flow conservation law, wherein the comprehensive energy comprises electricity, heat and hydrogen, calculating carbon emission transfer generated when electricity, heat and hydrogen energy are charged and discharged, calculating linear carbon emission transfer energy and charging energy in the charging and discharging process of the electricity energy and the hydrogen energy, calculating linear energy and nonlinear heat loss energy in the charging and discharging process of the heat energy, obtaining the carbon emission factors of the heat energy and the heat source in the charging and discharging stage, calculating the linear energy and the carbon emission of the heat source in the charging and discharging stage, fitting a heat energy conversion efficiency curve, calculating the nonlinear energy and the heat release power curve of the charging stage through the input heat energy and the linear energy of the charging stage, calculating the effective energy of the heat release stage based on the linear energy and the heat release power curve, establishing the linear energy and the heat release energy of the heat energy and the heat release stage in the charging and discharging stage, and the carbon energy being based on the linear energy and the linear heat release energy of the heat energy and the heat release energy of the charging stage, and the heat release of the heat source in the charging stage, and the carbon energy being integrated in the charging stage, and the carbon energy is used as the carbon emission of the energy and the energy of the energy and the heat source in the charging stage, the method comprises the steps of obtaining time-sharing carbon emission factors of electric-thermal-hydrogen, inputting the carbon emission factors corresponding to comprehensive energy into a preset lower carbon emission optimization model, calculating the corresponding load when the carbon emission is minimum, inputting the time-sharing carbon emission factors of the electric-thermal-hydrogen into the preset lower carbon emission optimization model, adjusting time sequences of electric, thermal and hydrogen loads in a park based on the target functions of the time-sharing carbon emission factors of the electric-thermal-hydrogen and the minimum carbon emission, and obtaining a load distribution scheme of shifting high carbon emission period loads to low carbon emission periods when the total load is unchanged, wherein the formula of the lower carbon emission optimization model comprises the following steps: In the formula (I), in the formula (II), In order to achieve the carbon number, 、、 Respectively representing electricity consumption, heat and hydrogen carbon emission of a park; and updating an upper economic operation model based on the load, generating a new minimum operation cost scheme, and repeating the step of inputting the minimum operation cost scheme into a preset carbon emission factor composite model for iteration until a preset iteration condition is reached, so as to obtain a device output scheme corresponding to the minimum cost and the minimum carbon emission balance.
2. The method for balancing operation of electro-thermal-hydro low carbon according to claim 1, wherein the construction process of the pre-set upper economic operation model is as follows: Acquiring historical data of equipment in a park, and preprocessing to obtain a cost data set, wherein the cost data set comprises equipment parameters, load data, electricity price information and renewable energy prediction data; constructing a mathematical model by taking the minimum operation cost as an objective function, constructing an operation constraint condition and an electric power supply and demand balance constraint of the equipment, and solving to obtain an operation strategy of the equipment in each operation period; And comparing the index corresponding to the operation strategy calculated by the mathematical model with actual data, and taking the mathematical model as an upper economic operation model when the error value does not exceed a threshold value.
3. The method for balancing operation of electro-thermal-hydro low carbon according to claim 1, wherein the construction process of the preset lower carbon emission optimization model is as follows: acquiring carbon emission factors corresponding to electricity, heat and hydrogen in a certain time period in the history time; The method comprises the steps of constructing a preliminary carbon emission optimization model by taking the minimum carbon emission of summation after multiplying electric, thermal and hydrogen loads and corresponding time-sharing carbon emission factors as an objective function; and solving the preliminary carbon emission optimization model through linear programming and nonlinear programming, and adjusting the numerical values of electric, thermal and hydrogen loads in different time periods according to an objective function to obtain a load time sequence distribution scheme for minimizing carbon emission.
4. A method of electro-thermal-hydro low carbon operation balancing according to claim 1, the method is characterized in that the formula of the equipment output scheme is as follows: ; Wherein, the For the minimum running cost objective function, Is the minimum carbon emission objective function, lambda is the weight coefficient, lambda is more than or equal to 0 and less than or equal to 1, Is the equipment output; Wherein, the Meeting power balance and constraint conditions; Power balance sigma =D, where D is the total required power; device output limit: ≤ ≤ Wherein And The minimum and maximum force limits of device i, respectively.
5. A system for electro-thermal-hydro low carbon operation balancing comprising: The system comprises a cost unit, a control unit and a control unit, wherein the cost unit is configured to acquire comprehensive energy parameters of a park, input the comprehensive energy parameters into a preset upper economic operation model, and calculate a minimum operation cost scheme, wherein a formula of the upper economic operation model comprises: ; for the maintenance cost of the equipment, Is the cost of purchasing energy and the cost of purchasing energy, Is the charge-discharge life loss cost of the energy storage device; The carbon emission unit is configured to input the minimum operation cost scheme into a preset carbon emission factor composite model, and obtain carbon emission factors corresponding to comprehensive energy through linear calculation and nonlinear calculation respectively, wherein carbon emission of the comprehensive energy input end in an operation period is obtained based on the minimum operation cost scheme and a carbon flow conservation law, and the comprehensive energy comprises electricity, heat and hydrogen; calculating carbon emission transfer generated when electricity, heat and hydrogen energy are charged and discharged, wherein linear carbon emission transfer amount and charging amount are calculated in the charging and discharging process of the electricity energy storage and the hydrogen energy storage, linear energy and nonlinear heat loss energy are calculated in the charging and discharging process of the heat energy storage, wherein heat energy and heat source carbon emission factors are input in the charging stage, and carbon emission of the effective stored linear energy and the charging stage is calculated, a thermal energy conversion efficiency curve is fitted, nonlinear heat loss energy and heat release power curve of the charging stage is calculated through the input of the heat energy and the effective stored linear energy in the charging stage, effective heat release energy of the heat release stage is calculated by integrating the heat release power curve and the thermal energy conversion efficiency curve, nonlinear heat loss energy of the heat release stage is calculated based on the effective stored linear energy and the effective heat release energy of the heat release stage, the nonlinear heat loss energy of the effective stored linear energy, the non-linear heat loss energy of the charging stage and the nonlinear heat release stage is used as total carbon emission of the heat energy storage, a relationship between electricity, heat loss energy and heat release energy of the heat release energy and the heat release energy is established in the operation stage based on the carbon emission transfer and the carbon emission of the comprehensive energy input end, a carbon-energy coupling relationship between the electricity and the heat energy and the hydrogen is performed on the comprehensive carbon input end in the operation stage, the method comprises the steps of obtaining time-sharing carbon emission factors of electric-thermal-hydrogen, inputting the carbon emission factors corresponding to comprehensive energy into a preset lower carbon emission optimization model, calculating the corresponding load when the carbon emission is minimum, inputting the time-sharing carbon emission factors of the electric-thermal-hydrogen into the preset lower carbon emission optimization model, adjusting time sequences of electric, thermal and hydrogen loads in a park based on the target functions of the time-sharing carbon emission factors of the electric-thermal-hydrogen and the minimum carbon emission, and obtaining a load distribution scheme of shifting high carbon emission period loads to low carbon emission periods when the total load is unchanged, wherein the formula of the lower carbon emission optimization model comprises the following steps: In the formula (I), in the formula (II), In order to achieve the carbon number, 、、 Respectively representing electricity consumption, heat and hydrogen carbon emission of a park; And the iteration unit is configured to update an upper economic operation model based on the load, generate a new minimum operation cost scheme, and repeat the step of inputting the minimum operation cost scheme into a preset carbon emission factor composite model for iteration until a preset iteration condition is reached, so as to obtain a device output scheme corresponding to the minimum cost and the minimum carbon emission balance.
6. A computer device, comprising: And a memory storing a computer program executable on the processor, wherein the processor executes the program to perform the steps of a method of electro-thermal-hydro low carbon operation balancing as claimed in any one of claims 1 to 4.
7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor performs the steps of a method of electro-thermal-hydro low carbon operation balancing according to any one of claims 1 to 4.

Description

Method, system, equipment and medium for balancing electric-thermal-hydrogen low-carbon operation Technical Field The invention relates to the technical field of comprehensive energy system optimization and low-carbon scheduling, in particular to a method, a system, equipment and a medium for balancing electric-thermal-hydrogen low-carbon operation. Background The park-level comprehensive energy system has been rapidly raised in recent years by virtue of the unique advantages of being capable of integrating various energy forms, realizing energy cascade utilization and efficient configuration, and has become an important carrier for low-carbonization transformation of energy in a supporting area. In the park-level comprehensive energy system, multiple energy systems such as electricity, heat, hydrogen and the like are mutually interwoven and cooperatively operated. The cooperative optimization of the multi-energy system can improve the energy utilization efficiency, reduce the energy consumption cost and remarkably reduce the carbon emission. However, there are currently some problems to be solved in terms of carbon emission accounting of park-level integrated energy systems. Currently, most multi-energy system carbon emission accounting adopts a static average factor mode. The method simply distributes the total carbon emission amount in a period of time to each energy production or consumption link evenly, and omits the dynamic changes of carbon emission along with time, energy production structure, market factors and the like. The operation of the energy system is a dynamic process, and the production and consumption modes of the energy in different time periods, the energy source structure and the external market environment are all changed, and the changes directly affect the intensity and the distribution of carbon emission. The static average factor mode can not reflect the dynamic evolution process of carbon emission, so that a large deviation exists between an accounting result and an actual situation, the carbon emission condition of the energy system of the park is difficult to evaluate accurately, and effective data support and decision basis can not be provided for the energy-carbon collaborative scheduling of the park. At the same time, the existing research has another obvious limitation in carbon emission analysis. Most research focuses only on carbon emissions from internal equipment of the campus system, and neglects the impact of external power market carbon emission attributes on the campus energy system. The existing research lacks a mechanism for incorporating the carbon emission attribute of the external power market into a unified model to carry out linkage modeling, so that various influencing factors cannot be comprehensively considered when analyzing the carbon emission of a park, and the carbon responsibility division is unclear and the carbon optimization boundary is incomplete. In addition, hydrogen energy is a very potential clean energy source, and the carbon emission characteristics of hydrogen energy are not constant, and are highly dependent on the structure of the power source. In the hydrogen production process, if the used power is generated from fossil energy with high carbon emission, a great amount of carbon emission is indirectly generated in the hydrogen production process, otherwise, if renewable energy is used for generating electricity to produce hydrogen, the carbon emission is greatly reduced. However, the existing model does not establish a carbon emission factor mapping mechanism of the whole electro-thermal-hydrogen process, and cannot accurately quantify the carbon emission intensity of hydrogen energy at different time points. In the low-carbon scheduling of the energy system of the park, the carbon emission characteristic of the hydrogen energy is difficult to fully consider, and the production and the use of the hydrogen energy cannot be reasonably adjusted according to the carbon emission conditions of different time points, so that the full play of the role of the hydrogen energy in the low-carbon scheduling is influenced, and the development of the energy system of the park to the low-carbon and high-efficiency directions is restricted. Disclosure of Invention Aiming at the problems existing in the prior art, the invention provides a method, a system, equipment and a medium for balancing the operation of electricity-heat-hydrogen low carbon, and the technical scheme adopted by the invention is as follows: Acquiring comprehensive energy parameters of a park, inputting the comprehensive energy parameters into a preset upper-layer economic operation model, and calculating to obtain a minimum operation cost scheme, wherein a formula of the upper-layer economic operation model comprises the following components: ; for the maintenance cost of the equipment, Is the cost of purchasing energy and the cost of purchasing energy,Is the charge-discharge life loss