A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system

To increase the energy utilization efficiency, it becomes fairly promising to convert surplus electricity from renewable generation other forms of for multi-dimensional consumption. In this paper, we propose a hybrid scheduling model multi-energy microgrid with integration hydrogen storage system (HESS) and heat (HSS). our study, operational uncertainties induced by renewables loads (including electrical, hydrogen, demand) are comprehensively considered. We investigate such an operating regime that HESS stores in case abundant generates through fuel cells otherwise. Further, units including HESS, combined power (CHP), external suppliers modeled paper. split decision-makings both day-ahead stage real-time tackle balancing issues. effectively solve aforementioned optimization model, flexible weighted Model Predictive Control (weighted-MPC) strategy is proposed, which receding horizon can be suitably adjusted according forecasting accuracy uncertainties. The effectiveness proposed verified extensive studies.