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考虑碳排放约束的跨国电源优化规划方法 被引量:7

Multi-state Generation Optimization Planning Method Considering Low-carbon Constraints
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摘要 能源电力的充分共享是实现区域乃至世界范围内低碳可持续发展的关键途径。结合清洁低碳电源规划要求,提出一套考虑碳排放约束的跨国电源优化规划方法。根据各国未来能源电力宏观发展需求及碳排放目标,建立了跨国电源最优规划模型以及生产模拟仿真模型相结合的电源规划方法。跨国电源最优规划模型根据碳排放等宏观约束求解新建电源结构,应用考虑碳排放成本的生产模拟仿真模型针对求解电源结构进行模拟,统计分析化石能源机组的碳排放量指标,分析仿真指标与宏观发展目标的参数偏差,矫正跨国电源规划最优模型参数,再次求解电源规划方案。通过“生产模拟—优化规划”的迭代过程,将规划与运行有机结合,实现以满足碳排放约束且成本最小为优化目标的电源规划方案。采用所提出的方法,对南美洲3个主要国家2035年实现大规模联网后的发电系统进行了电源优化规划。 Sharing electricity and energy is the key path for realizing low-carbon sustainable development for the whole world in the future.In the paper a multi-state generation planning method for multiple types of generating resources with consideration of low-carbon constraint is proposed.According to the future low-carbon goal and energy related policies generation systems for multi-states are built based on national energy resources and feasible generation mix using optimization model.Then the power system with certain generation mix is simulated by a production cost simulation model with CO_(2) emission model integrated and performance indices of the planned system based on the simulation results is calculated.Optimization parameters of generation planning model is tuned.After“simulation and optimization”process based on the combination of planning and operation optimal generation plan with minimizing total cost is realized.In the case study generation planning for multiple types of generating resources is performed for three countries in South America for the planning year of 2035.
作者 孟婧 梁才浩 宋福龙 陈晨 苏盛 MENG Jing;LIANG Caihao;SONG Fulong;CHEN Chen;SU Sheng(Global Energy Interconnection Development and Cooperation Organization,Xicheng District,Beijing 100031,China;School of Electrical&Information Engineering,Changsha University of Science&Technology,Changsha 410114,Hunan Province,China)
出处 《全球能源互联网》 CSCD 2022年第2期173-181,共9页 Journal of Global Energy Interconnection
基金 国家自然科学基金项目(U196620027) 全球能源互联网集团有限公司科技项目(52450018000L)。
关键词 全球能源互联网 低碳 电源优化 生产模拟 global energy interconnection low carbon generation planning optimization production simulation
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