Optimization of integrated energy system operation containing hydrogen-compressed natural gas based on multiple scenarios and uncertainties
Rational utilization of hydrogen energy can enhance the flexibility of optimizing integrated energy systems and effectively mitigate the impacts of source and load uncertainty on system operations.Employing hydrogen-compressed natural gas(HCNG)as fuel and incorporating it into cogeneration combined heat and power systems can significantly enhance economic efficiency and hydrogen energy utilization.This paper proposes an optimization framework for the operation of integrated energy systems incorporating HCNG,considering multiple scenarios and uncertainties.The approach begins by establishing an integrated energy system topology that utilizes HCNG as fuel.It then addresses the uncertainties of sources,loads,and scenario probabilities through a three-stage robust optimization model aimed at minimizing system operating costs.The main and subproblems are decomposed using the Column and Constraint Generation(C&CG)algorithm.The Karush-Kuhn-Tucker(KKT)conditions and the Big M method are applied to transform these into a single-layer optimization problem.Comparative analysis of system operation results and robust models demonstrates that HCNG can optimize system operations and reduce costs effectively.The proposed model adeptly handles the discrepancies between actual and predicted scenario probabilities,thus preventing extreme outcomes during system optimization.
integrated energy system containing hydrogen compressed natural gasrobust optimization modelmulti stage optimizationmulti scenario
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