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作 者:王守文 叶金根 徐丽洁 李国祥 袁莹超 朱兆彬 WANG Shouwen;YE Jingen;XU Lijie;LI Guoxiang;YUAN Yingchao;ZHU Zhaobin(School of Law and Public Administration,China Three Gorges University,Yichang 443002,China;College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China;College of Economics&Management,China Three Gorges University,Yichang 443002,China;Zhejiang Huadian Equipment Testing and Research Institute Co.,Ltd.,Hangzhou 310000,China)
机构地区:[1]三峡大学法学与公共管理学院,湖北宜昌443002 [2]三峡大学电气与新能源学院,湖北宜昌443002 [3]三峡大学经济与管理学院,湖北宜昌443002 [4]浙江华电器材检测研究院有限公司,浙江杭州310000
出 处:《电力系统保护与控制》2024年第8期88-97,共10页Power System Protection and Control
基 金:国家自然科学基金项目资助(51877122);湖北省智力成果采购项目资助(2022HB-ZLCG-06)
摘 要:针对北方农村地区冬季清洁取暖造成局部供电、供气紧张的问题,提出一种计及温控厌氧发酵和阶梯碳交易的农村综合能源低碳经济调度模型。首先,基于沼气厌氧发酵池的热力学模型和温度与产气率的关系,构建沼气发酵的温控模型。然后,采用变压吸附设备提纯分离沼气中的甲烷和二氧化碳,引入电转气消纳其中的二氧化碳,产生甲烷回馈系统。同时考虑农村用户参与碳市场,采用阶梯碳价,分析碳交易基价和价格增长率对农村用能成本和碳排放的影响。最后,以系统运行成本最低为目标函数进行优化求解。仿真分析表明,所提模型可实现系统碳排量降低157.27 kg,运行成本降低11.57%。There is a problem of local power and gas supply shortage caused by clean heating in winter in northern rural areas.Thus a low-carbon economic dispatch of rural comprehensive energy that takes into account temperature controlled anaerobic fermentation and ladder carbon trading is proposed.First,based on the thermodynamic model of an anaerobic biogas fermentation tank and the relationship between temperature and gas production rate,a temperature control model for biogas fermentation is constructed.Then,pressure swing adsorption equipment is used to purify and separate methane and carbon dioxide from biogas,and electric conversion gas is introduced to absorb the carbon dioxide,generating a methane feedback system.At the same time,considering the participation of rural users in the carbon market,a ladder carbon price is adopted to analyze the impact of carbon trading base price and price growth rate on rural energy costs and carbon emissions.Finally,the problem is optimized and solved with the objective function of minimizing system operating costs.Simulation analysis shows that the proposed model reduces system carbon emissions by 157.27 kg and reduces operating costs by 11.57%.
分 类 号:TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]
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