Impacts of different uncertain parameter on the operation of the system should be well-studied to get optimal management of the system. The information gap decision theory (IGDT) is one the most favorite methods to model both positive and negative aspects of any uncertain parameter. In this chapter, power price uncertainty in a hybrid AC/DC microgrid is investigated utilizing the IGDT method and obtained results are provided in three strategies as risk-averse, risk-neutral, and risk-taker are derived. The optimal energy management of hybrid AC/DC MG is formulated as mixed-integer non-linear programming (MINLP) method which is solved by DICOPT solver in GAMS optimization software in two cases as with and without demand response (DR) cases to clarify the impact of such programs.
