Springer Reliability Modeling and Analysis of Smart Power Systems (Reliable and Sustainable Electric Power and Energy Systems Management)

Product Description The volume presents the research work in understanding, modeling and quantifying the risks associated with different ways of implementing smart grid technology in power systems in order to plan and operate a modern power system with an acceptable level of reliability. Power systems throughout the world are undergoing significant changes creating new challenges to system planning and operation in order to provide reliable and efficient use of electrical energy. The appropriate use of smart grid technology is an important drive in mitigating these problems and requires considerable research activities, some of which (by researchers from academia and industry) are included in this volume: the reliability appraisal of smart grid technologies and their applications, micro-grids, assessment of plug-in hybrid vehicles and the system effects, smart system protection and reliability evaluation, demand response and smart maintenance of power system equipment. From the Back Cover The volume presents the research work in understanding, modeling and quantifying the risks associated with different ways of implementing smart grid technology in power systems in order to plan and operate a modern power system with an acceptable level of reliability. Power systems throughout the world are undergoing significant changes creating new challenges to system planning and operation in order to provide reliable and efficient use of electrical energy. The appropriate use of smart grid technology is an important drive in mitigating these problems, and requires considerable research activities, some of which (by researchers from academia and industry) are included in this volume: the reliability appraisal of smart grid technologies and their applications, micro-grids, assessment of plug-in hybrid vehicles and the system effects, smart system protection and reliability evaluation, demand response and smart maintenance of power system equipment. About the Author Dr. Rajesh Karki is Associate Professor at the University of Saskatchewan, Canada. During 2005-2012, he chaired the Power Systems Research Group at the University of Saskatchewan. He has earlier worked for academic institutions and different industries in Nepal, and for GE Industrial Systems, Peterborough, ON, Canada. He has a B.E. degree in Electrical Engineering from the Regional Engineering College (renamed National Institute of Technology), Durgapur, West Bengal, India and Masters and PhD degrees in electrical power engineering from the University of Saskatchewan, Canada. He has served in various capacities in conferences, workshops and guest lectures in Canada and abroad and has published over 80 papers in reputable international journals and peer reviewed conferences. Dr. Karki has completed several consulting projects on system planning and reliability for Canadian electric utilities. He is a senior member of the IEEE and Professional Engineer in the Province of Saskatchewan, Canada. His research interests include power system reliability and planning and reliability modeling and analysis of renewable energy systems. Dr. Roy Billinton is Professor Emeritus in the Department of Electrical Engineering, University of Saskatchewan, Saskatoon, Canada. He obtained his Bachelor’s and Master’s degrees from the University of Manitoba, Winnipeg, MB, Canada and Ph.D. and D.Sc. degrees in electrical engineering from the University of Saskatchewan, Saskatoon, Canada. He was with the System Planning and Production Divisions, Manitoba Hydro. In 1964, he joined the University of Saskatchewan, where he served as the Head of the Electrical Engineering Department, Associate Dean for Graduate Studies, Research and Extension and the Acting Dean of Engineering. He has authored or co-authored eight books and more than 940 papers on power system reliability evaluation, economic system operation and power system analysis. Dr. Billinton is Fellow of the IEEE, Engineeri