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OA北大核心CSTPCD
Low carbon research on integrated energy system considering the tiered carbon trading and the uncertainties of renewable energy
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.
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,consider-ing 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.Fi-nally,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 eco-nomic system.
潘崇超;侯孝旺;金泰;王博文;王冠雄;古月清
北京科技大学,北京 100083
动力与电气工程
综合能源系统电转气碳捕获阶梯碳交易不确定性
integrated energy systempower to gascarbon capturetiered carbon tradinguncertainty
《电测与仪表》 2024 (010)
8-16 / 9
中国博士后基金项目(2019M660634);河北雄安高铁站片区能源优化运行平台(Z211100001921001)
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