Multi-objective operation management of a multi-carrier energy system

摘要: Abstract In this paper, a multi-objective optimization approach for multi-carrier energy networks is discussed. A network system consists of various types carrier such as electricity, natural gas, and heat. Minimizing the total cost operation typical objective while another important to minimize emission generated by whole network. It shown in paper that functions are two opposite objectives decreasing one them would increase other vice versa. Therefore, should be utilized obtain global optima problem based on priority each objective. According large size actual networks, could non-linear, non-convex, non-smooth, high-dimension mathematical techniques trapped local minima. Hence, it better use evolutionary instead. To do so, fuzzy decision making method proposed which merged with well-known modified teaching-learning algorithm. This implemented applied verify methodology.