Optimal Scheduling of Hybrid AC-DC MG using Information Gap Decision Theory

In this paper, a hybrid AC/DC (HAC-DC) MG has been considered and energy management and short-term scheduling of this MG are proposed. In addition, pool market price uncertainty, which is an important challenge in grid-connected MGs, is considered in this paper for both MGs using an information gap decision theory (IGDT) method. The obtained result illustrates some of the main advantages of the HAC-DC MG in conservative (risk-averse), regular risk (risk-neutral), and risky (risk-taker) procedures. The obtained results show that by applying the IGDT approach to the proposed model, in the conservative (risk-averse) strategy, for about 10% increase in the pool market price, the total cost will increase by 2.37 % and 1.38 % in the conventional AC MG and HAC-DC MG, respectively. On the other hand, in the risk-taker (risky) strategy for 10% pool market price reduction, total costs will be reduced by 4.75 % and 3.9 % in the conventional AC MG and HAC-DC MG, respectively.