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文章摘要
计及阶梯碳交易和可再生能源不确定性的综合能源系统低碳研究
Low carbon research on integrated energy system considering the tiered carbon trading and the uncertainties of renewable energy
Received:April 11, 2022  Revised:April 24, 2022
DOI:10.19753/j.issn1001-1390.2024.10.002
中文关键词: 综合能源系统  电转气  碳捕获  阶梯碳交易  不确定性
英文关键词: integrated energy system, power to gas, carbon capture, tiered carbon trading, uncertainty
基金项目:中国博士后科学基金:“耦合正逆循环的综合能源系统通用建模及能值分析”(2019M660634)
Author NameAffiliationE-mail
panchongchao University of Science and Techonlohy Beijing panchch@ustb.edu.cn 
houxiaowang* University of Science and Techonlohy Beijing 743769667@qq.com 
jintai University of Science and Techonlohy Beijing 3206797659@qq.com 
wangbowen University of Science and Techonlohy Beijing g20208230@xs.ustb.edu.cn 
wangguanxiong University of Science and Techonlohy Beijing 1797962177@qq.com 
古月清 University of Science and Techonlohy Beijing guyueqing54@126.com 
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中文摘要:
      在十四五时期,综合能源系统(IES)对于推动“双碳”目标的实现具有重要意义,在此背景下,为进一步挖掘IES的环境效益,文中构建了计及阶梯碳交易和可再生能源不确定性的IES优化模型。在典型IES的基础架构下,引入了碳捕获技术和电转气设备,实现电气双向转换解耦的同时,也减少了二氧化碳排放,考虑了市场电价和可再生能源出力的不确定性,引入了鲁棒系数,建立了以碳交易成本及运行成本为目标函数的的鲁棒优化模型,将阶梯碳交易机制引入系统调度模型中,分析碳交易价格等因素对系统运行影响,采用CPLEX求解器进行求解,设置多个场景对比分析,通过算例证明该模型在系统的低碳和经济的有效性。
英文摘要:
      In the 14th five-year period, integrated energy system (IES) plays an important role in promoting the realization of the "dual carbon" goal. In this context, in order to further explore the environmental benefits of IES, this paper constructs an IES optimization model taking into account the tiered carbon trading and the uncertainties of renewable energy. Firstly, in typical IES infrastructure, carbon capture technology and power-to-gas equipment are introduced to decouple the two-way electrical conversion while reducing carbon dioxide emissions. Then, considering the uncertainty of market electricity price and renewable energy output, the robust coefficient is introduced to establish a robust optimization model with carbon transaction cost and operating cost as the objective function. Finally, the tiered carbon trading mechanism is introduced into the system scheduling model to analyze the impact of carbon trading price on the system operation. CPLEX solver is used to solve the system, and multiple scenarios are set for comparative analysis. An example is given to prove the effectiveness of the model in the low carbon and economic system.
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