Nowadays with the speed that electrical loads are growing, system operators are challenged to manage
the sources they use to supply loads which means that that besides upstream grid as the main sources of
electric power, they can utilize renewable and non-renewable energy sources to meet the energy
demand. In the proposed paper, a photovoltaic (PV)/fuel cell/battery hybrid system along with upstream
grid has been utilized to supply two different types of loads: electrical load and thermal load. Operators
should have to consider load uncertainty to manage the strategies they employ to supply load. In other
words, operators have to evaluate how load variation would affect their energy procurement strategies.
Therefore, information gap decision theory (IGDT) technique has been proposed to model the uncertainty
of electrical load. Utilizing IGDT approach, robustness and opportunity functions are achieved which can
be used by system operator to take the appropriate strategy. The uncertainty modeling of load enables
operator to make appropriate decisions to optimize the system’s operation against possible changes in
load. A case study has been simulated to validate the effects of proposed technique.