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Ahmed T. Elsayed

Researcher at Florida International University

Publications -  45
Citations -  1234

Ahmed T. Elsayed is an academic researcher from Florida International University. The author has contributed to research in topics: Electric power system & Smart grid. The author has an hindex of 16, co-authored 45 publications receiving 941 citations. Previous affiliations of Ahmed T. Elsayed include American University in Cairo.

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DC microgrids and distribution systems: An overview

TL;DR: In this paper, the authors present an overview of the most recent advances in DC distribution systems and evaluate where we currently stand on the migration path from the overwhelming fully AC power system to a more flexible hybrid AC/DC power system.
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Hybrid Energy Storage Sizing and Power Splitting Optimization for Plug-In Electric Vehicles

TL;DR: The formulation of a multi-objective optimization problem (MOOP) to optimally size a battery unit (BU) ultracapacitor (UC) hybrid energy storage system (HESS) for plug-in electric vehicle (EV) resulted in sizing of an HESS with lower cost, volume, and weight than those existing in literature.
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Hybrid energy storage management in ship power systems with multiple pulsed loads

TL;DR: In this article, three series-configured hybrid energy storage systems (HESSs) are mathematically modeled, evaluated, and tested experimentally, and the validity of the derived model and controller were validated experimentally through a hardware setup simulating a multiuser load SPS profile.
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Advanced Battery Management and Diagnostic System for Smart Grid Infrastructure

TL;DR: The proposed BMS continuously monitors the voltage, current, and energy of each battery and can calculate individual state of charge (SoC) levels and C-rates, and has the capability to isolate each individual battery to apply different charging profiles and advanced diagnostics to detect the correct problems.
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Hierarchical control for DC microgrid clusters with high penetration of distributed energy resources

TL;DR: In this paper, a real-time tertiary control algorithm for DC microgrids is developed and implemented, which virtually aggregates neighboring micro-grids into clusters, and virtually exchange energy through the distribution grid infrastructure stabilizing the main power infeed.