Robust Optimization of Integrated Energy Systems Considering Equipment Failure Uncertainty

The failure rate of the system equipment is highly uncertain by the extreme weather, and the equipment failure scenario will directly affect the scheduling and stability of the integrated energy system, among others. Based on this, this paper proposes a distribution robust model of the electric-hydrogen-gas integrated energy system considering the failure uncertainty, with the optimal total system cost under the worst failure scenario as the objective function, and rationally calling combustion turbine units, electrolysis tanks, fuel cells, methane generators, electric and hydrogen storage devices to improve the resilience of the system in the face of extreme disasters, as well as to improve the economy of the system.