Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction and estimation, exclusive to power system protection issues Presents introduction to enhanced electricity system analysis using decision-making tools Covers AI Applications in different protective relaying functions Discusses Issues and challenges in the protection of transmission and distribution systems Includes dedicated chapter on case studies, and applications

Power quality is necessary for electrical systems to operate in their intended manner without any deterioration of performance. This book highlights the new emerging challenges of power quality due to the penetration of large-scale renewable energy generation technologies, the advances in nonlinear loads, the increased electricity demands in the deregulated market, and the recent requirements of smart grids that need better hierarchical design with enhanced quality, improved controllability, higher reliability, and security. Novel research that links the past, present and future of electrical power grids from a power quality perspective is also introduced. Topics include power quality definitions; frequency-domain power theory and metering of harmonic pollution responsibility; active and passive harmonic filters; shunt flexible AC transmission; power quality improvement using series FACTS; distributed generation systems; islanding scenario generation algorithm; decentralised voltage control in smart grids; techno-economic issues of power quality; economic robust programming for energy management systems; and future trends in power quality. Power Quality in Future Electrical Power Systems is a tool for planners, designers, operators and practicing engineers of electrical power systems who are concerned with power network quality, reliability, and security. It is essential reading for postgraduate students, engineers, academics, and researchers who have some background in electrical power systems.