Optimal power flow and energy-sharing among multi-agent smart buildings in the smart grid

Abstract

Buildings account for about 40% of total energy consumption. Efficient building energy control can considerably reduce energy costs. A smart grid takes advantage of bi-directional energy and information flow between the utility grid and the energy user. Smart buildings can charge or discharge energy or power from multiple buildings (multi-agent systems) using smart meters via battery storage in the smart buildings. However, there is very little research on how to share energy among multi-agent systems and optimal power flow among smart buildings (multi-agent systems) in the smart grid. In this paper, the authors use an advanced optimization method to present optimal power flow and energy-sharing among smart buildings. With this research, it is expected that this method can improve the smart grid optimal power flow and energy-sharing stability among smart buildings, and enhance energy dissipation balance to reach stability among many smart buildings in the smart grid.