S
Saeed Jazebi
Researcher at New York University
Publications - 49
Citations - 1217
Saeed Jazebi is an academic researcher from New York University. The author has contributed to research in topics: Transformer & Inrush current. The author has an hindex of 19, co-authored 49 publications receiving 935 citations. Previous affiliations of Saeed Jazebi include Varian Semiconductor & Amirkabir University of Technology.
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DSTATCOM allocation in distribution networks considering reconfiguration using differential evolution algorithm
TL;DR: In this paper, a combinatorial process based on reconfiguration and DSTATCOM allocation is implemented to mitigate losses and improve voltage profile in power distribution networks, where differential evolution algorithm (DEA) has been used to solve and overcome the complicity of this combinatorsial nonlinear optimization problem.
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Review of Wildfire Management Techniques—Part I: Causes, Prevention, Detection, Suppression, and Data Analytics
TL;DR: This two-part paper is intended to inform power system engineers, electrical engineering academicians, and suppliers of electrical apparatus of the threat of wildfires initiated from mal-operation of electrical grids and the unexploited opportunity to develop proper solutions and preventive means to such lethal events.
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Duality Derived Transformer Models for Low-Frequency Electromagnetic Transients—Part I: Topological Models
Saeed Jazebi,S. E. Zirka,Mathieu Lambert,Afshin Rezaei-Zare,Nicola Chiesa,Y.I. Moroz,Xusheng Chen,Manuel Martinez-Duro,C.M. Arturi,E. P. Dick,Arun Narang,R.A. Walling,Jean Mahseredjian,J. A. Martinez,F. de Leon +14 more
TL;DR: In this article, the authors provide clarity to physical concepts used in the field of transformer modeling, to dispel common misconceptions regarding numerical instabilities, and to present unified modeling techniques for low-frequency transients.
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Determination of the Optimal Switching Frequency for Distribution System Reconfiguration
TL;DR: In this article, the authors show that there is great potential for saving money when reconfiguring distribution systems at an optimal frequency, based on hourly, daily, weekly, monthly, and seasonal reconfiguration plans.
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Reconfiguration of distribution networks to mitigate utilities power quality disturbances
Saeed Jazebi,Behrooz Vahidi +1 more
TL;DR: In this paper, the authors address the ability of network reconfiguration to enhance power quality issues such as harmonics and voltage sags while mitigating power losses, in which the best switching status could be determined via heuristic optimization techniques.