考虑需求响应和碳交易的园区氢电耦合系统两阶段鲁棒优化调度OA

[Objectives]Hydrogen energy,as a clean energy source with high energy density and zero carbon emissions,is an important component of future energy systems.For park-level hydrogen-electric coupling systems(HECS),a two-stage robust optimization scheduling model that considers demand response and tiered carbon trading is proposed.[Methods]First,a park-level HECS is established,consisting of wind and solar power generation units,backup generation units,energy storage systems,and hydrogen-electric conversion devices.Then,demand response and tiered carbon trading are integrated into the model,aiming to minimize the total costs of system energy procurement,operation and maintenance,and carbon emissions,thereby establishing a deterministic optimization model for the system.Finally,a source-load uncertainty set is incorporated into the deterministic optimization model to mitigate the effect of source-load uncertainty on scheduling results,forming a two-stage robust optimization model.This model is re-established using a master-slave framework and solved using the column-and-constraint generation method.[Results]With source-load uncertainty coefficients of 12 and 6,demand response loads with an adjustable ratio below 0.5 can reduce the system's operating costs by 1.6%.The introduction of tiered carbon trading can reduce carbon emissions by 604.9 kg.[Conclusions]The proposed model can improve the risk resilience of park-level HECS,and the integration of demand response and tiered carbon trading can ensure the economic and low-carbon operation of HECS.