Abstract:
Photovoltaic and wind systems have been demonstrated to be sustainable
alternatives of producing electricity in rural electrification, particularly in islanded
applications. Currently, the advancement of research in the area of power electronics
has allowed the connection of these renewable resources to the grid with
bidirectional power flow. In this work, the optimal power scheduling for a
grid-connected photovoltaic–wind–battery hybrid system is proposed to maximize
the use of solar and wind resources to assist customers at demand side. The
developed model for the hybrid system’s optimal power flow management aims to
minimize electricity purchased from the grid while maximizing the energy sold to
the grid as well as the production of the renewable sources subject to the power
balance, photovoltaic, wind, and battery storage outputs as well as other operational
constraints. Relating to demand-side management, a control technique is developed
to optimally schedule the power flow from the different components of the hybrid
system over 24-h horizon. Simulations are performed using MATLAB, and the
results demonstrate that operating the proposed hybrid system under the developed
optimal energy management model can reduce the operation cost and allow consumers
to generate substantial income by selling power to the grid.