Webinar Date: Thursday, May 31, 2018
Time: 10:00 AM (PT)
Speaker: Dr. Tu Nguyen, Sandia National Laboratories
Location: on the Web
Event Details & Registration: smartgrid.ieee.org/resources/webinars
Summary: The transformation of today’s grid toward smart grid has given energy storage systems (ESSs) the opportunity to provide more services to the electric grid, as well as to end customers. On the grid’s side, ESSs can generate revenue streams participating in electricity markets by providing services such as energy arbitrage, frequency regulation or spinning reserves. On the customers’ side, ESSs can provide a wide range of applications from on-site back-up power, storage for off-grid renewable systems to solutions for load shifting and peak shaving for commercial/industrial businesses.
This webinar focuses on the benefits of behind-the-meter (BTM) ESSs to the utility customers and the method for optimizing these benefits. A nonlinear optimization problem is formulated to find the optimal operating scheme for ESSs to minimize the energy and demand charges for time-of-use (TOU) customers, or to minimize the energy charge of net-metering (NEM) customers. The problem is then transformed to a Linear Programming (LP) problem using the Minmax technique. Case studies are conducted for residential and commercial customers in California and an industrial customer in New Mexico.
Bio: Tu A. Nguyen is a Postdoctoral Appointee in the Energy Storage Technology and Systems Department at Sandia National Laboratories. He received his B.S degree in Power Systems from Hanoi University of Science and Technology, Vietnam in 2007. He worked as a Power Transformer Test Engineer in the ABB High Voltage Test Department in Vietnam from 2008 to 2009. He received his Ph.D. degree from Missouri University of Science and Technology in December 2014. From 2015 to 2016, he worked as a Research Associate at the University of Washington. His research interests include energy storage economics, microgrid modeling and analysis, and the integration of distributed resources into power grids.
— energy arbitrage, back-up power, load shifting, optimal operating schemes, case studies …