8. ECO-DAC: ENERGY CONTROL OVER DIVIDE AND CONTROL
Name: Alper Sinan Akyurek
Grad Year: 2016
Our research focuses on the optimal control of an energy storage system in small to medium sized power distribution systems with loads and renewable resources. We provide a low-complexity algorithm, ECO-DAC, which is optimal in terms of minimizing a multi-tier cost function. In contrast to the state-of-the-art, we use a high accuracy nonlinear battery model that captures the nonlinear characteristics under high current charging and discharging regimes. We show in case studies that we can save up to 21% in costs for electricity drawn from the grid, compared to the no-battery case. Furthermore, we show that we have a high tolerance to forecast errors for 3 actual buildings from the UCSD campus.
Industry Application Area(s)
Control Systems | Electronics/Photonics | Energy/Clean technology