Friday, November 8, 2019 - 3:00pm to Saturday, November 9, 2019 - 3:55pm
Event Calendar Category
Other LIDS Events
Speaker Name
Mads Almassalkhi
Affiliation
University of Vermont
Building and Room Number
32-D677
Abstract
Connectivity is becoming ubiquitous and driving the proliferation of smart appliances that raise consumers’ expectations of comfort and convenience. In addition, public policy is driving numerous states to pass aggressive renewable portfolio standards and energy storage policies. Within the next decade, it is expected that millions of connected distributed energy resources (DERs) will underpin a net-demand that is inherently flexible and can provide a combination of active and reactive power support, demand deferral, and energy storage. This talk presents a convergence of network frameworks for unlocking this flexibility in distribution circuits by considering two distinct, scalable approaches to coordinating DERs across multiple time-scales while guaranteeing the quality of service and a network-admissible dispatch. Results will focus on two new optimization-for-control algorithms that separately develop convex inner approximations of AC physics and localized device control logic and pair them with live grid measurements for feedback. We provide performance guarantees on-grid and device conditions and show how these different frameworks enable real-time, network-admissible disaggregation of market services.
Biography
Mads Almassalkhi (IEEE M’06; SM’19) is an assistant professor in the Department of Electrical and Biomedical Engineering at the University of Vermont, founding director of Vermont's new power and energy research center VECTORS, and co-founder of tech startup Packetized Energy. His research interests lie at the intersection of power systems, mathematical optimization, and controls and focus on improving responsiveness and resilience of power systems. Mads is Chair of the IEEE PES Smart Buildings, Loads, and Customer systems (SBLC) sub-committee on Loads. He was awarded the Outstanding Junior Faculty Award by his college in 2016. Prior to joining the University of Vermont, he was lead systems engineer at Root3 Technologies, which developed software for set-point optimization of multi-energy systems. Before that, he received his PhD from the University of Michigan in Electrical Engineering (EE): Systems in 2013, and a dual major in Electrical Engineering and Applied Mathematics at the University of Cincinnati in Ohio in 2008. When he is not working on energy problems or teaching, he is spending his time with his amazing wife and their three small children.