计及P2G的综合能源系统CCUS容量规划OACSTPCD

Considering that carbon capture utilization and storage(CCUS)is a refinement of carbon dioxide(CO2)sources in the power-to-gas(P2G)process,a qualitative and quantitative modeling of P2G processes such as electricity-hydrogen-oxygen-methane-CO2 and virtual CO2 for integrated energy systems(IES)is proposed,and a CCUS equipment capacity planning model that conducts spatiotemporal clustering of random sources and loads such as wind-light-electric vehicle-load to deeply explore the potential of IES hydrogen sources and carbon sources is proposed.The goal is to minimize the annual comprehensive cost by considering positive and negative carbon trading,penalties for wind and solar curtailment,and annual equipment investment costs.The power capacity limits of CCUS equipment such as carbon capture,carbon storage,and methanation are used as global variables to impose quadratic constraints on electrical balance and energy coupling.After mixed integer linearization,the problem is solved using Cplex.The case analysis shows that source load spatiotemporal clustering can retain the characteristics of IES low-cost carbon and hydrogen sources when typical daily scenes are reduced.Reasonable planning of CCUS equipment can combine wind curtailment and carbon reduction functions,making the natural gas produced by P2G more competitive in the market.