Abstract: While there are a number of useful studies on the greenhouse gas impacts of transportation electrification, only recently have researchers begun to understand the impacts of electricity on electric power infrastructure. Thus, the primary goals of this research project were to understand these impacts in detail and to develop new methods for reducing the impact of transportation electrification on the electricity transmission and distribution infrastructure. In particular, this report focuses on understanding and mitigating the impact of transportation electrification on the medium and low voltage distribution infrastructure, through which electricity is transported from the bulk power grid, through neighborhoods, to individual homes and businesses. This project focused specifically on the impacts of electric vehicles on two key components of power distribution systems: residential service transformers, and underground cables. This project also studied new methods to dynamically adjust the number of electric vehicles that are charging simultaneously, in order to mitigate the risk of electricity infrastructure damage from electric vehicle charging.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).