Optimal Scheduling of a Hydrogen-Based Energy Hub Considering a Stochastic Multi-Attribute Decision-Making Approach

Nowadays, the integration of multi-energy carriers is one most critical matters in smart energy systems with aim meeting sustainable development indicators. Hydrogen referred to as main future industry, but its into system faces different open challenges which have not yet been comprehensively studied. In this paper, a novel day-ahead scheduling presented reach optimal operation hydrogen-based hub, based on stochastic multi-attribute decision-making approach. way, hub model first developed by providing detailed Power-to-Hydrogen (P2H) facilities. Then, new multi-objective problem given considering prosumer’s role proposed well integrated demand response program (IDRP). The introduces comprehensive approach from analysis historical data final minimizing cost and carbon emission. Moreover, deal uncertainty, scenario-based method applied renewable resources fluctuation. defined mixed-integer non-linear programming (MINLP), solve problem, simple augmented e-constrained (SAUGMECON) employed. Finally, simulation performed case study obtained results show effectiveness benefits scheme.