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Mehrdad Kazerani

Researcher at University of Waterloo

Publications -  154
Citations -  8931

Mehrdad Kazerani is an academic researcher from University of Waterloo. The author has contributed to research in topics: AC power & Power factor. The author has an hindex of 38, co-authored 149 publications receiving 7619 citations. Previous affiliations of Mehrdad Kazerani include Concordia University & McGill University.

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Trends in Microgrid Control

TL;DR: The major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the main control principles (e.g., droop control, model predictive control, multi-agent systems).
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A Centralized Energy Management System for Isolated Microgrids

TL;DR: Using the model predictive control technique, the optimal operation of the microgrid is determined using an extended horizon of evaluation and recourse, which allows a proper dispatch of the energy storage units.
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Investigation of Methods for Reduction of Power Fluctuations Generated From Large Grid-Connected Photovoltaic Systems

TL;DR: In this article, the authors investigated three methods that can be used to reduce the fluctuations in the power generated from a large customer-owned photovoltaic (PV) system, in the order of megawatts.
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A Comparative Study of Fuel-Cell–Battery, Fuel-Cell–Ultracapacitor, and Fuel-Cell–Battery–Ultracapacitor Vehicles

TL;DR: This paper compares the near-optimal configurations for three topologies of vehicles: fuel-cell-battery, fuel- cell-ultracapacitor, and fuel- Cell-batteries-ULTracAPacitor to improve performance, fuel economy, and powertrain cost.
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Modeling Guidelines and a Benchmark for Power System Simulation Studies of Three-Phase Single-Stage Photovoltaic Systems

TL;DR: In this paper, the main components, operation/protection modes, and control layers/schemes of medium and high-power PV systems are introduced to assist power engineers in developing circuit-based simulation models for impact assessment studies, analysis, and identification of potential issues with respect to the grid integration of PV systems.