One of the big challenges that system operators have always dealt with is uncertainty of
different parameters in the power systems. In this paper, optimal performance of an ongrid PV/fuel cell/battery hybrid system has been evaluated in the presence of demand
response program with considering electrical load uncertainty. Information gap decision
theory (IGDT) has been proposed to model the uncertainty of electrical load. Utilizing
different strategies obtained through the robustness and opportunity functions, operator
will have several options to control the uncertainty. By shifting some percentage of load
from peak periods to other periods, DRP flattens load curve and minimizes total cost of
hybrid system. A sample system is simulated and the results are compared to validate the
proposed techniques.