Scalable Algorithms for Grid Operations: Challenges and Opportunities 🗓

— (IEEE SmartGrid) – monitoring, controlling, optimizing, distributed energy resources, controllable devices, integration …

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Webinar Date: Thursday, October 11, 2018
Time: 10:00 AM (PT)
Speaker: Subhonmesh Bose, Assistant Professor, University of Illinois at Urbana-Champaign
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: smartgrid.ieee.org
Summary: Scalability is the fundamental challenge in the design of algorithms for monitoring, controlling, and optimizing the assets of a power system. Adoption of distributed energy resources (DERs) is adding to the number of controllable devices. Integration of variable renewable production from wind and solar is making it necessary to account for multiple different scenarios in making dispatch decisions with uncertain supply. Addition of phasor measurement units and automated metering infrastructure is leading to the collection of a large amount of data that needs processing to provide meaningful information. Thus, system operations today require algorithms that are able to synthesize large volumes of data, produce actionable decisions within reasonable runtimes, and do so with provable performance guarantees. In this talk, an overview of the design challenges in solving large-scale optimization problems in power system operation will be presented, how these problems are compounded by the evolving landscape of the power grid, and various approaches to address them.
Bio: Mark SiiraSubhonmesh Bose is an Assistant Professor in the Dept. of Electrical and Computer Engineering at the University of Illinois at Urbana Champaign. Prior to joining UIUC, he was an Atkinson Postdoctoral Fellow in Sustainability at Cornell University. He received his MS and PhD at California Institute of Technology in Electrical Engineering in 2012 and 2014, respectively. Also, in 2009 he received his B.Tech degree at Indian Institute of Technology Kanpur. His research interests are in algorithm and market design for the electric power system with renewable supply.