基于信息间隙决策理论的含碳捕集-电转气综合能源系统优化调度OACSTPCD
Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory
[目的]为科学统筹综合能源系统运行经济性、稳定性和低碳性优化目标,采用何种技术手段以提升能源转化效率,减少系统能源浪费和区域环境污染,是当下综合能源系统合理优化的主要问题.为此,提出一种基于场景生成与信息间隙决策理论的含碳捕集与封存(carbon capture and storage,CCS)—两段式电转气(power to gas,P2G)综合能源系统低碳优化策略.[方法]在技术层面,通过对电P2G两阶段精细化建模,提高氢能利用效率,建立热电…查看全部>>
[Objectives]The main issue in the current rational optimization of integrated energy systems is to adopt technological means to improve energy conversion efficiency,reduce system energy waste and regional environmental pollution,in order to scientifically coordinate the optimization goals of economic,stability,and low-carbon operation of the integrated energy system.To this end,a low-carbon optimization strategy for a carbon capture and storage(CCS)two-stage…查看全部>>
赵振宇;包格日乐图;李炘薪
华北电力大学经济与管理学院,北京市 昌平区 102206华北电力大学经济与管理学院,北京市 昌平区 102206华北电力大学经济与管理学院,北京市 昌平区 102206
能源与动力
综合能源系统场景生成信息间隙决策理论(IGDT)碳捕集与封存(CCS)电转气(P2G)阶梯型碳交易
integrated energy systemscenario generationinformation gap decision theory(IGDT)carbon capture and storage(CCS)power to gas(P2G)stepped carbon trading
《发电技术》 2024 (4)
651-665,15
北京市自然科学基金项目(8232013). Project Supported by the Nature Science Foundation of Beijing(8232013).
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