Tasawar Abbas , Sheng Chen , Jingtao Zhao , Shu Zheng
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引用次数: 0
Abstract
Hydrogen-powered multi-scale storage systems enhance renewable energy utilization, accelerating the sustainable transition of power systems toward low-carbon operations. To advance this transition, a hydrogen-centric dynamic energy hub model is proposed, integrating producer, prosumer, and consumer hubs with hybrid storage to optimize economic and ecological outcomes under varying weekly weather conditions. The model enhances cost efficiency, environmental sustainability, carbon neutrality, and flexible energy distribution. Demand-side load fluctuations are corrected using a demand response framework, while an optimization approach informed by data-driven, distributionally robust methods mitigates renewable uncertainty with risk-averse dual-norm constrained scenarios. Piecewise linearization, adaptive Big M scenario reduction, and global SCIP solutions in GAMS simplify the complexity of fourth-order polynomial variables. The numerical results demonstrate a significant 4.69% and 18.31% reduction in wind and solar curtailment, 12.336% total model cost savings, and 14.13% emission reductions, ensuring optimal efficiency and sustainability for large-scale deployment in advancing global sustainable urbanization.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.