Optimal resilient operation of hub energy system considering uncertain parameters

The high potential of hub energy in power systems has considerable profits to improve resiliency and sustainability of system. Variable energy sources embedded in multi-carrier energy systems could be used to propose a robust operation model for improve resiliency of multi-carrier systems during high risk time intervals such as extreme weather condition. Thermal energy sector could be rescheduled for storing heat generated by combined heat and power (CHP) units and boilers in certain periods to coordinate with electrical sector when required. Such cooperation increase operator's capability to manage electrical grid during time intervals with high uncertainty of outages due to extreme weather condition. Accordingly, in this paper an information gap decision theory (IGDT) method is used to model uncertainty of power outages in optimal system operation. By applying the IGDT method, distribution network operator is able to employ an appropriate methodology to have a robust optimal operation. Also, such methodology leads to make suitable decisions during high risk time intervals such as extreme weather condition. The simulation results proved that proposed model improves the performance and resilience of system by cooperation between thermal and electrical sectors. Also, the chance of electrical grid for successful islanding process increased by reduction in power imbalance during high risk time intervals. (C)& nbsp;2022 Elsevier Ltd. All rights reserved.