计算机仿真2024,Vol.41Issue(8) :99-104.

计及阶梯型碳交易的低碳园区多目标双层优化

Double Layer Optimization of Multi-Objective Allocation for Low-Carbon Parks Considering Tiered Carbon Trading

徐慧明 陈思安 解鸿斌 苏晶晶
计算机仿真2024,Vol.41Issue(8) :99-104.

计及阶梯型碳交易的低碳园区多目标双层优化

Double Layer Optimization of Multi-Objective Allocation for Low-Carbon Parks Considering Tiered Carbon Trading

徐慧明 1陈思安 2解鸿斌 3苏晶晶4
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作者信息

  • 1. 国网电易数字科技(雄安)有限公司,河北 雄安 071799;国网数字科技控股有限公司,北京 100053
  • 2. 国网数字科技控股有限公司,北京 100053;华北电力大学,北京,100096
  • 3. 国网新能源云技术有限公司,北京 100053
  • 4. 长沙理工大学电气与信息工程学院,湖南 长沙,410114
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摘要

随着能源的消耗量逐渐增大,经济发展与能源、环境之间的矛盾日益凸显,发展低碳电力迫在眉睫.在双碳目标下,综合能源系统规划中,引入了阶梯型碳交易机制,构建配置-运行多目标双层优化模型.在日内运行阶段,以购电购气成本最小为目标,进行运行优化,在容量配置阶段,将阶梯型碳交易成本引入模型中,以一次投资成本、年度运行成本和年度碳交易成本最小为目标,并通过仿真验证了所提模型的可靠性和有效性.

Abstract

With the gradual increase in energy consumption,the contradiction between economic development,en-ergy,and the environment is becoming increasingly prominent,and the development of low-carbon electricity is urgent.Under the dual carbon goal,this article introduces a stepped carbon trading mechanism in the comprehensive energy system planning and constructs a multi-objective dual level optimization model for configuration operation.In the intraday operation stage,the goal is to minimize the cost of purchasing electricity and gas,and to optimize the op-eration.In the capacity configuration stage,the stepped carbon trading cost is introduced into the model,with the goal of minimizing the primary investment cost,annual operating cost,and annual carbon trading cost.The reliability and effectiveness of the model proposed in this paper are verified through the simulation experiments.

关键词

阶梯型碳交易/多目标优化/综合能源规划/低碳园区

Key words

Tiered carbon trading/Multi objective optimization/Integrated energy planning/Low carbon park

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基金项目

国网数科公司自筹资金科技项目(8100/2022-72001B)

出版年

2024
计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
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