Abstract:
In the electricity market, customers have many choices to reduce electricity cost if they can economically
schedule their power consumption. Renewable hybrid system, which can explore solar or wind sources at
low cost, is a popular choice for this purpose nowadays. In this paper optimal energy management for a
grid-connected photovoltaic-battery hybrid system is proposed to sufficiently explore solar energy and to
benefit customers at demand side. The management of power flow aims to minimize electricity cost subject
to a number of constraints, such as power balance, solar output and battery capacity. With respect to
demand side management, an optimal control method (open loop) is developed to schedule the power
flow of hybrid system over 24 h, and model predictive control is used as a closed-loop method to dispatch
the power flow in real-time when uncertain disturbances occur. In these two kinds of applications, optimal
energy management solutions can be obtained with great cost savings and robust control
performance.
