P
Pooya Rezaei
Researcher at University of Vermont
Publications - 21
Citations - 735
Pooya Rezaei is an academic researcher from University of Vermont. The author has contributed to research in topics: Cascading failure & Blackout. The author has an hindex of 12, co-authored 20 publications receiving 622 citations. Previous affiliations of Pooya Rezaei include University of Minnesota & Sharif University of Technology.
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Journal ArticleDOI
Estimating the Impact of Electric Vehicle Smart Charging on Distribution Transformer Aging
TL;DR: The results indicate that simple smart charging schemes, such as delaying charging until after midnight can actually increase, rather than decrease, transformer aging, and that temperature-based smart charging can dramatically reduce both the mean and variance in transformer aging.
Journal ArticleDOI
Cascading Power Outages Propagate Locally in an Influence Graph That is Not the Actual Grid Topology
TL;DR: This paper describes a method by which the data from many cascading failure simulations can be transformed into a graph-based model of influences that provides actionable information about the many ways that cascades propagate in a particular system.
Journal ArticleDOI
Packetized Plug-In Electric Vehicle Charge Management
TL;DR: This paper compares the performance of the packetized approach to an optimization method and a first-come, first-served (FCFS) charging scheme in a test case with a constrained 500 kVA distribution feeder and time-of-use residential electricity pricing.
Journal ArticleDOI
Estimating Cascading Failure Risk With Random Chemistry
TL;DR: In this article, the authors present a new approach to estimate the risk of large cascading blackouts triggered by multiple contingencies, which uses a search algorithm (Random Chemistry) to identify blackout-causing contingencies and then combines the results with outage probabilities to estimate overall risk.
Proceedings ArticleDOI
Electric vehicle charging: Transformer impacts and smart, decentralized solutions
TL;DR: In this paper, a Monte Carlo simulation of a 25kVA distribution transformer, with ambient temperature data from Burlington, VT and Phoenix, AZ, was used to calculate transformer aging under both uncoordinated and smart charging conditions.