CN-121998168-A - Green hydrogen system configuration optimization method and system considering carbon emission reduction benefits

CN121998168ACN 121998168 ACN121998168 ACN 121998168ACN-121998168-A

Abstract

The invention belongs to the technical field of green hydrogen production and energy system optimization, and provides a green hydrogen system configuration optimization method and system for considering carbon emission reduction benefits, which take power balance, component capacity, operation characteristics and carbon emission reduction accounting as constraint conditions and take full life cycle comprehensive benefit maximization of a green hydrogen system as an objective function to construct a multi-objective optimization model, wherein indexes of the objective function comprise green hydrogen sales benefits, carbon emission reduction benefits, full life cycle investment costs, annual operation maintenance costs and hydrogen energy storage and transportation costs, a particle swarm algorithm is adopted to solve the multi-objective optimization model to determine a green hydrogen system configuration scheme, economic benefits corresponding to carbon emission reduction in a green hydrogen production process are fully considered, cooperative optimization of economy and carbon emission reduction benefits is realized, and the problem that economic feasibility and environmental benefits of a green hydrogen project are difficult to balance is solved.

Inventors

GUO FUMIN
LUO DINGHUA
XU GUANGQIANG
YANG XIAOHUA
HUANG HUIQUN
SHAN WENHAO
LI JIANPENG
LIU HUIJIE

Assignees

山东电力工程咨询院有限公司

Dates

Publication Date: 20260508
Application Date: 20251226

Claims (10)

1. A green hydrogen system configuration optimization method that accounts for carbon emission reduction benefits, comprising: Constructing a green hydrogen system architecture; According to a green hydrogen system architecture, taking power balance, component capacity, operation characteristics and carbon emission reduction accounting as constraint conditions, and taking the full life cycle comprehensive benefit maximization of the green hydrogen system as an objective function to construct a multi-objective optimization model, wherein indexes of the objective function comprise green hydrogen sales benefit, carbon emission reduction benefit, full life cycle investment cost, annual operation maintenance cost and hydrogen energy storage and transportation cost; and solving the multi-objective optimization model by adopting a particle swarm algorithm to determine a green hydrogen system configuration scheme.
2. The method of optimizing a green hydrogen system configuration to account for carbon emission reduction benefits of claim 1, wherein the carbon emission reduction benefits are the product of carbon emission reduction and carbon price.
3. The method for optimizing a green hydrogen system configuration to account for carbon emission reduction benefits of claim 2, wherein the carbon emission reduction is performed by The method comprises the following steps: ; Wherein, the Annual green hydrogen production; Is the reference carbon emission; Is the actual carbon emission of green hydrogen.
4. The method of optimizing a green hydrogen system configuration to account for carbon emission reduction benefits of claim 1, wherein the objective function is: ; Wherein, the Comprehensive benefits of the whole life cycle of the green hydrogen system; sales revenue for green hydrogen; The carbon emission reduction benefits are realized; investment cost for full life cycle; Maintenance costs for annual operation; Is the cost of hydrogen energy storage and transportation.
5. The method of optimizing a green hydrogen system configuration to account for carbon emission reduction benefits of claim 4, wherein the green hydrogen sales benefits, the full lifecycle investment costs, the annual operating maintenance costs, and the hydrogen energy storage and delivery costs are respectively: ; ; ; ; Wherein, the Is the first Hydrogen production in hours; Is the first The green hydrogen time-of-use selling price is carried out in an hour; Investment cost for photovoltaic module units; The unit investment cost of the wind turbine generator is set; investment cost for the unit of the electrolytic cell; Investment cost for energy storage equipment units; The installed capacity of the photovoltaic power station; the installed capacity of the wind farm; rated power for the electrolytic cell; Rated capacity of the energy storage equipment; Is a fund recovery coefficient; maintenance rates for photovoltaic module unit year operation; the maintenance rate is operated for the wind turbine unit year; maintenance rates for the unit annual operation of the electrolyzer; Purchasing electric power for the power grid at the t hour; the time-sharing electricity price is; the unit cost of the hydrogen storage tank; is the leakage rate; is the conveying distance; To transport energy costs.
6. The method of optimizing a green hydrogen system configuration to account for carbon emissions reduction benefits of claim 5, wherein the power balance constraint, the component capacity constraint, the operating characteristic constraint, and the carbon emissions reduction accounting constraint are each: ; , ; ; Electrolytic tank Number of times of annual start and stop Energy storage , ; , ; Wherein, the Is the first The actual output power of the photovoltaic power station is obtained in an hour; Is the first The actual output power of the wind power plant in the hour; Is the first The discharge power of the energy storage system in hours; the charging power of the energy storage system at the t hour; Is the first An hour cell actual operating power; is the rated power of the electrolytic cell; Is the first The actual stored electrical energy capacity of the hour energy storage system; Is the rated capacity of the energy storage system; Charging efficiency of the energy storage system; Is the discharge efficiency of the energy storage system.
7. The green hydrogen system configuration optimization method for considering carbon emission reduction benefits according to claim 1 is characterized in that an adaptive inertia weight and a chaos mutation operator are introduced into a particle swarm algorithm, a solution process adopts two stages of rough calculation and fine calculation, the rough calculation stage aims at quickly obtaining a feasible solution, partial constraint conditions are simplified, the range of component capacity is determined, the fine calculation stage refines the constraint based on a rough calculation result, and the optimization result comprises the specific installed capacity of photovoltaic/wind power, the number and single power of an electrolytic tank, the capacity and type proportion of energy storage, and an electrolytic tank load adjustment curve, an energy storage charging and discharging time schedule, grid purchase/selling time and a power plan on time by time are generated.
8. A green hydrogen system configuration optimization system that accounts for carbon emission reduction benefits, comprising: A system architecture creation module configured to build a green hydrogen system architecture; The optimizing model building module is configured to build a multi-objective optimizing model by taking power balance, component capacity, operation characteristics and carbon emission reduction accounting as constraint conditions and maximizing comprehensive benefits of a whole life cycle of a green hydrogen system as objective functions according to a green hydrogen system architecture, wherein indexes of the objective functions comprise green hydrogen sales benefits, carbon emission reduction benefits, whole life cycle investment cost, annual operation maintenance cost and hydrogen energy storage and transportation cost; And the configuration scheme optimizing module is configured to solve the multi-objective optimizing model by adopting a particle swarm algorithm to determine the configuration scheme of the green hydrogen system.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor, when executing the program, implements the steps of the green hydrogen system configuration optimization method of any one of claims 1-7 that accounts for carbon emission reduction benefits.
10. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the green hydrogen system configuration optimization method of any one of claims 1-7, accounting for carbon emission reduction benefits.

Description

Green hydrogen system configuration optimization method and system considering carbon emission reduction benefits Technical Field The invention belongs to the technical field of green hydrogen production and energy system optimization, and particularly relates to a green hydrogen system configuration optimization method and system considering carbon emission reduction benefits. Background Green hydrogen is used as a zero-carbon energy carrier, and the production of the green hydrogen depends on the cooperative operation of renewable energy power generation and water electrolysis hydrogen production technology. The current green hydrogen system configuration method mainly focuses on the cost minimization targets of renewable energy output, electrolyzer operation and energy storage matching, and economic benefits corresponding to carbon emission reduction in the green hydrogen production process are not fully considered, so that the comprehensive benefits of the system are underestimated, insufficient renewable energy consumption or insufficient carbon emission reduction potential release can be possibly caused, the direct docking of carbon market transaction rules is difficult, the carbon emission reduction benefits are not included in the green hydrogen system optimization targets, so that the economic feasibility and the environmental benefits of a green hydrogen project are difficult to balance, and the large-scale popularization of the green hydrogen technology is limited. Disclosure of Invention In order to solve the problems, the invention provides a green hydrogen system configuration optimization method and system for considering carbon emission reduction benefits, which fully considers economic benefits corresponding to carbon emission reduction in the green hydrogen production process, realizes the cooperative optimization of economy and carbon emission reduction benefits, and solves the problem that the economic feasibility and environmental benefits of green hydrogen project are difficult to balance. In order to achieve the above object, the present invention is realized by the following technical scheme: In a first aspect, the present invention provides a green hydrogen system configuration optimization method for accounting for carbon emission reduction benefits, comprising: Constructing a green hydrogen system architecture; According to a green hydrogen system architecture, taking power balance, component capacity, operation characteristics and carbon emission reduction accounting as constraint conditions, and taking the full life cycle comprehensive benefit maximization of the green hydrogen system as an objective function to construct a multi-objective optimization model, wherein indexes of the objective function comprise green hydrogen sales benefit, carbon emission reduction benefit, full life cycle investment cost, annual operation maintenance cost and hydrogen energy storage and transportation cost; and solving the multi-objective optimization model by adopting a particle swarm algorithm to determine a green hydrogen system configuration scheme. Further, the carbon emission reduction benefit is the product of carbon emission reduction and carbon price. Further, the carbon emission reduction amountThe method comprises the following steps: ; Wherein, the Annual green hydrogen production; Is the reference carbon emission; Is the actual carbon emission of green hydrogen. Further, the objective function is: ; Wherein, the Comprehensive benefits of the whole life cycle of the green hydrogen system; sales revenue for green hydrogen; The carbon emission reduction benefits are realized; investment cost for full life cycle; Maintenance costs for annual operation; Is the cost of hydrogen energy storage and transportation. Further, the green hydrogen sales revenue, the full life cycle investment cost, the annual operation maintenance cost, and the hydrogen energy storage and delivery cost are respectively: ; ; ; ; Wherein, the Is the firstHydrogen production in hours; Is the first The green hydrogen time-of-use selling price is carried out in an hour; Investment cost for photovoltaic module units; The unit investment cost of the wind turbine generator is set; investment cost for the unit of the electrolytic cell; Investment cost for energy storage equipment units; The installed capacity of the photovoltaic power station; the installed capacity of the wind farm; rated power for the electrolytic cell; Rated capacity of the energy storage equipment; Is a fund recovery coefficient; maintenance rates for photovoltaic module unit year operation; the maintenance rate is operated for the wind turbine unit year; maintenance rates for the unit annual operation of the electrolyzer; Purchasing electric power for the power grid at the t hour; the time-sharing electricity price is; the unit cost of the hydrogen storage tank; is the leakage rate; is the conveying distance; To transport ene