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Robert J. Thomas

Researcher at Cornell University

Publications -  183
Citations -  13327

Robert J. Thomas is an academic researcher from Cornell University. The author has contributed to research in topics: Electric power system & Electricity market. The author has an hindex of 43, co-authored 178 publications receiving 11807 citations. Previous affiliations of Robert J. Thomas include University of California, Davis & National Renewable Energy Laboratory.

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A model-referenced controller for stabilizing large transient swings in power systems

TL;DR: In this article, a control strategy which is considered reasonable for on-line stabilization of the large transient swings that occur in power systems following a major system disturbance is presented. But this strategy is compared to other similar strategies both in terms of philosophy and physical application.
Proceedings ArticleDOI

A Detailed Power System Planning Model: Estimating the Long-Run Impact of Carbon-Reducing Policies

TL;DR: A much more detailed representation of the nation's electricity system than has been traditionally used in policy models is employed, which greatly increases the computational difficulty of obtaining optimal solutions, but is necessary to accurately model the location of new investment in generation.
Proceedings ArticleDOI

On the Communication Architecture for Wide-Area Real-Time Monitoring in Power Networks

TL;DR: This paper argues that in power networks, the data recorded by the PMUs are spatially correlated and therefore the data admit a sparse representation in a given basis and the number of bits required to reconstruct the PMU data to within a given accuracy at a remote location grows sublinearly with the density of the power network.
Journal ArticleDOI

Data Framing Attack on State Estimation

TL;DR: In this paper, a data framing attack is proposed to exploit the bad data detection and identification mechanisms currently in use at most control centers, where the attack frames meters that are providing correct data as sources of bad data such that the control center will remove useful measurements that would otherwise be used by the state estimator.
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Microprocessor Simulation of Synchronous Machine Dynamics in Real-Time

TL;DR: A new model generator implementation in which a microprocessor solves the discretized generator dynamic equations is described, implemented using digital hardware.