Core team:

Paul Hines

University of Vermont

School of Engineering, Associate Professor

Hines's 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.

Most recent papers:

Samuel Chevalier, Paul Hines. Mitigating the Risk of Voltage Collapse using Statistical Measures from PMU Data. Preprint, 2018.
[pdf] [arXiv]
Jeff Frolik, Paul Hines, Mads R. Almassalkhi. Systems and methods for randomized, packet-based power management of conditionally-controlled loads and bi-directional distributed energy storage systems. 2018.
[pdf] [journal page]
Kai Zhoa, Ian Dobson, Paul Hines, Zhaoyu Wang. Can an influence graph driven by outage data determine transmission line upgrades that mitigate cascading blackouts?. IEEE International Conference Probabilistic Methods Applied to Power Systems (PMAPS), , , 2018.
[pdf] [journal page]
Mark Wagy, Joshua Bongard, Jim Bagrow, Paul Hines. Crowdsourcing Predictors of Residential Electric Energy Usage. IEEE Systems Journal, , , 2017.
[pdf] [journal page] [arXiv]
Luis Duffaut Espinosa, Mads R. Almassalkhi, Paul Hines, Jeff Frolik. Aggregate modeling and coordination of diverse energy resources under packetized energy management. Decision and Control (CDC), 2017 IEEE 56th Annual Conference on, 1394-1400, , 2017.
[pdf] [journal page]
Curtis Saunders, Jeffrey S. Marshall, Paul Hines. The effect of timescales on wind farm power variability with nonlinear model predictive control. Wind Energy, 1891-1908, 20, 2017.
[pdf] [journal page]
Christopher Clack, Staffan Qvist, Jay Apt, Morgan Bazilian, Paul Hines, et al.. Evaluation of a proposal for reliable low-cost grid power with 100% wind, water, and solar. Proceedings of the National Academy of Sciences, , , 2017.
[pdf] [journal page]
Mads R. Almassalkhi, Jeff Frolik, Paul Hines. Packetized energy management: asynchronous and anonymous coordination of thermostatically controlled loads. American Control Conference (ACC), 2017, 1431-1437, , 2017.
[pdf] [journal page]
Luis Duffaut Espinosa, Mads R. Almassalkhi, Paul Hines, Shoeib Heydari, Jeff Frolik. Towards a macromodel for Packetized Energy Management of resistive water heaters. Information Sciences and Systems (CISS), 2017 51st Annual Conference on, 1-6, , 2017.
[pdf] [journal page]
Mert Bakirci, Jason Veneman, Brian Tivnan, Jim Bagrow, Paul Hines. Reducing cascading failure risk by increasing infrastructure network interdependence. Scientific Reports, 44499, 7, 2017.
[pdf] [journal page]
(show all)

Most recent press: