demand response

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Visible to the public Event-Based Information Acquisition, Learning, and Control in High-Dimensional Cyber-Physical Systems

Abstract:

This year, we continued our research effort on designing optimal decentralized monitoring and control mechanisms for networked infrastructure systems providing demand response services by first focusing on the example of intelligent electric transportation systems. The results are highlighted in this poster. Electric Vehicles (EV) are emerging as one of the primary solutions to make electricity demand elastic.

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Visible to the public Architectural and Algorithmic Solutions for Large Scale PEV Integration into Power Grids

Abstract:

This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level.

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Visible to the public Coordinated Resource Management of Cyber-Physical-Social Power Systems

Abstract:

Large-scale critical infrastructure systems, including energy and transportation networks, comprise millions of individual elements (human, software and hardware) whose actions may be inconsequential in isolation but profoundly important in aggregate. The focus of this project is on the coordination of these elements via ubiquitous sensing, communications, computation, and control, with an emphasis on the electric grid.