摘要
氢能具有能量密度高、清洁性高的特点,将其引入综合能源系统对于促进能源结构转型具有重要意义。为充分发挥氢能在降低碳排放和促进系统经济运行方面的优势,提出了基于极限场景法的燃气掺氢综合能源系统两阶段低碳经济调度模型。首先,分析电转气(P2G)与气转电(G2P)两个过程的能源转化形式与设备的耦合特性,建立了电解槽变效率动态运行模型以及细致考虑能量转换过程的掺氢燃气轮机精细化混合燃烧出力模型。其次,结合极限场景法构建数据驱动的风光出力不确定集,提出日前-日内两阶段综合能源系统低碳经济调度模型。其中,日前阶段的计划方案最小化机组成本、备用容量成本、购能成本以及弃风弃光成本;日内阶段则以系统的各设备运行成本、碳交易成本以及调整成本最低为目标对日前计划进行实时修正,并采用滚动优化的方式求解。最后,通过仿真算例证明了所提模型在促进系统低碳经济运行与改进模型求解速率上具有积极作用。
Hydrogen energy,characterized by high energy density and cleanliness,plays a crucial role in promoting energy structure transformation when introduced into integrated energy systems.To fully leverage the advantages of hydrogen energy in reducing carbon emissions and enhance system economic operation,a two-stage low-carbon economic dispatch model for gashydrogen-blended integrated energy systems based on the extreme scenario method is proposed.Firstly,the energy conversion forms and equipment coupling characteristics of power to gas(P2G)and gas to power(G2P)processes are analyzed.A variableefficiency dynamic operation model for electrolyzers and a refined mixed combustion output model for hydrogen-blended gas turbines that thoroughly considers the energy conversion process are established.Secondly,based on the extreme scenario method,a data-driven uncertainty set for wind and photovoltaic output is constructed.A day-ahead and intraday two-stage low-carbon economic dispatch model for the integrated energy system is proposed.In the day-ahead stage,the scheduling plan minimizes unit costs,spare capacity costs,energy acquisition costs,and curtailment costs for the wind and photovoltaic power.In the intraday stage,real-time corrections to the day-ahead plan are made with the objective of minimizing operation costs of each equipment in the system,carbon trading costs,and adjustment costs.The model is then solved using a rolling optimization approach.Finally,simulation results demonstrate that the proposed model effectively promotes the low-carbon economic operation of the system and improves the model solving speed.
作者
胡俊杰
吴俊
刘雪涛
HU Junjie;WU Jun;LIU Xuetao(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China)
出处
《电力系统自动化》
北大核心
2026年第7期118-128,共11页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2021YFB4000104)
国家自然科学基金资助项目(52177080)。
关键词
综合能源系统
氢能
燃气掺氢
低碳经济调度
能源转化
极限场景法
精细化建模
数据驱动
integrated energy system
hydrogen energy
gas-hydrogen-blended
low-carbon economic dispatch
energy conversion
extreme scenario method
refined modeling
data-driven
