a multi-objective framework for optimal energy management of an energy hub: a mixed-integer linear programming based on augmented ɛ-constraint method

Energy hubs (ehs) by considering the interaction between various energy careers are known as promising tools to increase the efficiency of energy networks and pave the way for making the most of resources’ advantages. in addition, ehs due to their ability for converting different types of energies provide the appropriate conditions for increasing green energies such as renewable energy resources and electric vehicles which propels energy networks towards net-zero networks. however, combining a wide range of resources in addition to increasing the complexity of the optimization problem raises the need to model different objectives in the formulation. in this regard, in this paper, a multi-objective mixed integer linear programming is proposed for optimal management of an eh. three goals are taken into account in this study: minimizing total operation cost, minimizing the emission of fossil-fueled based units, and minimizing interruption in demand. the augmented ɛ-constraint method is utilized to solve the multi-objective problem.