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Electrical grids are, in general, among the most reliable systems in the world. These large interconnected systems, however, are subject to a host of challenges – aging infrastructure, transmission expansion to meet growing demand, distributed resources, and congestion management, among others. Innovations in Power Systems Reliability aims to provide a vision for a comprehensive and systematic approach to meet the challenges of modern power systems.
Innovations in Power Systems Reliability is focused on the emerging technologies and methodologies for the enhancement of electrical power systems reliability. It addresses many relevant topics in this area, ranging from methods for balancing resources to various reliability and security aspects.
Innovations in Power Systems Reliability not only discusses technological breakthroughs and sets out roadmaps in implementing the technology, but it also informs the reader about current best practice. It is a valuable source of information for academic researchers, as well as those working in industrial research and development.
Author Biography
George Anders completed hisD.Sc (Habilitation) in Electrical Engineering at the University of Lodz, and is a professor in the Faculty of Electrical and Electronic Engineering, Technical University of Lodz, Poland. He is also Principal Engineer-Scientist at Kinectrics Inc., Toronto, Canada and Adjunct Professor in the Department of Electrical and Computer Engineering, University of Toronto, Canada. Alfredo Vaccaro received his MSc degree cum laude and commendation in Electronic Engineering from the University of Salerno. He has been Research Scientist and Adjunct Professor of Electric Power Systems at the Department of Engineering of University of Sannio since 2002. His fields of interest include electric power system analysis, cooperative smart sensor networks for protection and diagnostics of complex electricity systems, integration of distributed generation systems on electrical networks, soft computing and interval based methodologies in power systems reliability analysis.
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