Robust management and optimization strategy of energy hub based on uncertainties probability modelling in the presence of demand response programs

The energy hub is considered one of the most important parts multi-carrier distribution systems. One major challenges facing idea optimal and management based on renewable non-renewable power generation resources in presence demand response programs uncertainties. This study aims to present an model uncertainties probability modelling resources, electrical loads (electric vehicles (EVs)), operating maintenance cost, cost greenhouse gas emissions, electric thermal programs. Therefore, proposed presented a robust optimization mixed-integer linear programming. Uncertainties this research are divided into two categories; technical economic. part includes caused by EVs, simulated Monte Carlo method their function. economic uncertainty price electricity. operation objective function problem modelled using models peak shaving load shifting techniques.