The scientist’s investigation covers issues in Control theory, Electronic engineering, Control engineering, Photovoltaic system and AC power. His Control theory research is multidisciplinary, relying on both Pulse-width modulation, Power system simulation and Power factor. He has researched Control engineering in several fields, including Battery, Automotive engineering, Microgrid and Electronic circuit simulation.
His studies in Microgrid integrate themes in fields like Voltage droop, Reliability engineering and Dispatchable generation. His Photovoltaic system research is multidisciplinary, incorporating elements of Maximum power point tracking, Grid-connected photovoltaic power system and Interconnection. He combines subjects such as Model predictive control and Smart grid with his study of Reliability.
His primary areas of study are Control theory, Electronic engineering, AC power, Electrical engineering and Photovoltaic system. In his work, Maximum power principle is strongly intertwined with Maximum power point tracking, which is a subfield of Control theory. His biological study spans a wide range of topics, including Converters, Topology, Harmonics, Boost converter and Active filter.
Mehrdad Kazerani interconnects Power factor, Wind power, Distributed generation, Control system and Voltage source in the investigation of issues within AC power. His Electrical engineering study integrates concerns from other disciplines, such as Electric vehicle and Battery charger. The Control theory study combines topics in areas such as Microgrid and Nonlinear system.
Mehrdad Kazerani mostly deals with Microgrid, Control theory, Renewable energy, Wind power and Energy storage. Mehrdad Kazerani has included themes like Distributed generation, Voltage droop, Reliability engineering, Control theory and Smart grid in his Microgrid study. His research investigates the connection between Smart grid and topics such as Reliability that intersect with problems in Control engineering.
The concepts of his Control theory study are interwoven with issues in AC power, Energy management system, Energy management and Power system simulation. As a member of one scientific family, Mehrdad Kazerani mostly works in the field of Wind power, focusing on Power optimizer and, on occasion, Power factor, Load following power plant and Load balancing. His research in Energy storage intersects with topics in Battery and Automotive engineering, Diesel fuel.
His primary areas of investigation include Control theory, AC power, Electric vehicle, Battery and Microgrid. His Control theory research includes elements of Power system simulation and Energy management system, Energy management. His AC power research includes themes of Phase-locked loop, Plane and Topology.
His studies deal with areas such as Automotive engineering and Driving cycle as well as Battery. His work carried out in the field of Microgrid brings together such families of science as Voltage droop and Smart grid. His study looks at the relationship between Voltage droop and topics such as Control theory, which overlap with Electronic engineering.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Trends in Microgrid Control
Daniel E. Olivares;Ali Mehrizi-Sani;Amir H. Etemadi;Claudio A. Canizares.
IEEE Transactions on Smart Grid (2014)
A Centralized Energy Management System for Isolated Microgrids
Daniel E. Olivares;Claudio A. Canizares;Mehrdad Kazerani.
IEEE Transactions on Smart Grid (2014)
Investigation of Methods for Reduction of Power Fluctuations Generated From Large Grid-Connected Photovoltaic Systems
W A Omran;M Kazerani;M M A Salama.
IEEE Transactions on Energy Conversion (2011)
Modeling Guidelines and a Benchmark for Power System Simulation Studies of Three-Phase Single-Stage Photovoltaic Systems
A Yazdani;A R Di Fazio;H Ghoddami;M Russo.
IEEE Transactions on Power Delivery (2011)
A Comparative Study of Fuel-Cell–Battery, Fuel-Cell–Ultracapacitor, and Fuel-Cell–Battery–Ultracapacitor Vehicles
J. Bauman;M. Kazerani.
IEEE Transactions on Vehicular Technology (2008)
Optimal Photovoltaic Array Reconfiguration to Reduce Partial Shading Losses
M. Z. S. El-Dein;M. Kazerani;M. M. A. Salama.
IEEE Transactions on Sustainable Energy (2013)
Maximum Power Tracking Control for a Wind Turbine System Including a Matrix Converter
S.M. Barakati;M. Kazerani;J.D. Aplevich.
IEEE Transactions on Energy Conversion (2009)
Dynamic Modeling and Performance Analysis of a Grid-Connected Current-Source Inverter-Based Photovoltaic System
P. P. Dash;M. Kazerani.
IEEE Transactions on Sustainable Energy (2011)
A centralized optimal energy management system for microgrids
Daniel E. Olivares;Claudio A. Canizares;Mehrdad Kazerani.
power and energy society general meeting (2011)
A novel active current waveshaping technique for solid-state input power factor conditioners
M. Kazerani;P.D. Ziogas;G. Joos.
IEEE Transactions on Industrial Electronics (1991)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Waterloo
University of Waterloo
McGill University
Concordia University
Khalifa University
University of L'Aquila
Technical University of Berlin
University of British Columbia
Toronto Metropolitan University
San Sebastián University
French Institute for Research in Computer Science and Automation - INRIA
Intel (United States)
University of New South Wales
University of Erlangen-Nuremberg
Tokyo Metropolitan University
Rutherford Appleton Laboratory
Osaka University
Mayo Clinic
University of Tsukuba
Tel Aviv University
University of Melbourne
University Hospital Heidelberg
McGill University
Stanford University
Curtin University
McGill University