ECE Seminar Series: Building-to-Grid Control Framework for Grid Services

ECE title

ECE Seminar Series Fall 2017

Wednesday September 27th 2:30-3:30 PM, KNS 103

Building-to-Grid Control Framework for Grid Services

Sumit Paudyal

Michigan Technological University

Abstract: With the implementation of Smart Grid technologies, such as sensors, smart meters, smart appliances, more than one-fourth of the US total electricity demand could be dispatchable. Coordinated demand dispatch of customers’ loads provides benefits to the customers and the grid both. A complete demand dispatch solution that benefits the customers and the grid involves a large scale optimization problem with underlying complex transmission and distribution grid models. A centralized approach to solve this problem is computationally involving in a practical sized grid with the consideration of comprehensive customer load models and the grid models that include discrete control variables. A practical way to solve this problem is to use hierarchical and distributed computing approaches, where information exchange occurs between the different levels in the hierarchy. This talk presents hierarchical framework to i) optimally dispatch electric vehicle (EV) loads and ii) optimally dispatch commercial building loads in building-to-grid (B2G) interaction. The case studies demonstrate the benefits of optimal demand dispatch of EV and building loads to the customers and grid operations.


Short Bio
: Sumit Paudyal received B.E. in Electrical Engineering from Tribhuvan University in Nepal, in 2003; Msc. degree in Electrical Engineering from the University of Saskatchewan, Saskatoon, Canada, in 2008; and a Ph.D. in Electrical Engineering from the University of Waterloo, Ontario, Canada, in 2012. Currently, Dr. Paudyal is an Assistant Professor at Michigan Technological University. His research expertise includes Smart Distribution Grid Operations, Optimization Techniques in Power Systems, Power System Protection, and Power System Real-time Hardware Simulations.