Keyhani publishes 'Design of Smart Power Grid Renewable Energy Systems'
Keyhani says the book, which is also being translated into Chinese, is the first guide for the design and modeling of smart grid energy systems. Design of Smart Power Grid Renewable Energy Systems uniquely addresses the design and modeling of smart grid renewable energy systems by integrating three areas of electrical engineering: power system engineering, power electronics, and electric energy conversion systems—with an approach that differs from classic methods. After a brief overview of energy and its evolution to electric power, Keyhani introduces the basic concepts behind power grids, then takes an in-depth look at the modeling of converters in power grid distributed generation systems and the design of a smart power grid system. Microgrid photovoltaic and wind energy systems are addressed as renewable energy sources. Load flow analysis of power grids and microgrids, and power grid fault studies are the subjects of the text's final chapters.
Design of Smart Power Grid Renewable Energy Systems is published by Wiley and Sons and is Keyhani’s second book.
Keyhani is a Fellow of the IEEE and a recipient of The Ohio State University College of Engineering Lumley Research Award for 1989, 1999 and 2003. He is the director of the Department of Electrical and Computer Engineering Green Energy Laboratory.
His research interests are in the areas of power electronics, multi-level converters, power systems control, alternative energy systems, wind farm, fuel cells, photovoltaic cells, micro-turbines, distributed generation systems, parameter estimation and control of electromechanical systems.
Keyhani is the past chairman of the Electric Machinery Committee and the past editor of the IEEE Transactions on Energy Conversion. He has worked for Westinghouse Electric Co, Hewlett-Packard Co. Columbus Southern Ohio-AEP, Foster Wheeler Engineering and TRW Control. He has authored many papers in the IEEE Transactions in Energy Conversion, Power Electronics, and Power Systems engineering in area of green energy, distributed generation, electric machine modeling, parameter estimation and system identification, power electronic systems, design of virtual test beds for power electronics systems and control of power systems.
