  This paper proposes a reliable energy scheduling framework for distributed
energy resources (DER) of a residential area to achieve an appropriate daily
electricity consumption with the maximum affordable demand response. Renewable
and non-renewable energy resources are available to respond to customers'
demands using different classes of methods to manage energy during the time.
The optimal operation problem is a mixed-integer-linear-programming (MILP)
investigated using model-based predictive control (MPC) to determine which
dispatchable unit should be operated at what time and at what power level while
satisfying practical constraints. Renewable energy sources (RES), particularly
solar and wind energies recently have expanded their role in electric power
systems. Although they are environment friendly and accessible, there are
challenging issues regarding their performance such as dealing with the
variability and uncertainties concerned with them. This research investigates
the energy management of these systems in three complementary scenarios. The
first and second scenarios are respectively suitable for a market with a
constant and inconstant price. Additionally, the third scenario is proposed to
consider the role of uncertainties in RES and it is designed to recompense the
power shortage using non-renewable resources. The validity of methods is
explored in a residential area for 24 hours and the results thoroughly
demonstrate the competence of the proposed approach for decreasing the
operation cost.
