Multi-objective IGDT-based scheduling of low-carbon multi-energy microgrids integrated with hydrogen refueling stations and electric vehicle parking lots

There is little room for doubt that distributed generation systems including renewable energy, microgrids (MGs), combined heat and power (CHP) units storage have been of particular importance in sustaining low-carbon cost-effective operations due to the tremendous increase greenhouse gas emissions recent years. Additionally, hydrogen-based technologies earned a great deal publicity hydrogen can serve as zero-emission fuel electrical thermal energy production. In this regard, current paper proposes an optimal management strategy hydrogen, heat, MG (CHHP-MG) with fueling stations (HFSs) vehicles (HVs), electric vehicle parking lots (EVPLs) cell micro-CHP (FC-MCHP) meet requirements. order reduce regular operating expense, presented CHHP-MG could also communicate both electricity markets. addition, compensate associated requirements, power-to-X such (P2HT) (P2H) are integrated. improve flexibility build low carbon MG, multi-energy (MES) system along demand response (HPDR) programs will be taken into consideration. As uncertainties predicted wind photovoltaic major impact on CHHP-MG, multi-objective information gap decision theory (IGDT)-based robust approach applied effective non-probabilistic modeling technique handling uncertainties. The empirical results show proposed model efficiently handle overall operation cost by 76.35%.