Adaptive Power Quality For Power Management Units Using Smart Technologies

This book covers issues associated with smart systems due to the presenceof onboard nonlinear components. It discusses the advanced architectureof smart systems for power management units. It explores issues of powermanagement and identifies hazardous signals in the power managementunits of smart devices. It* Presents adaptive artificial intelligence and machine learning-basedcontrol strategies.* Discusses advanced simulations and data synthesis for various powermanagement issues.* Showcases solutions to the uncertainty and reliability issues in powermanagement units.* Identifies new power quality challenges in smart devices.* Explains hybrid active power filters, shunt hybrid active power filters,and the industrial internet of things in power quality management.This book comprehensively discusses advancements of traditional electricalgrids, the benefits of smart grids to customers and stakeholders, propertiesof smart grids, smart grid architecture, smart grid communication, andsmart grid security. It further covers the architecture of advance power managementunits (PMU) of smart devices, and the identification of harmonicdistortions with respect to various sensor-based technology. It will serve asan ideal reference text for senior undergraduate and graduate students, andacademic researchers in fields including electrical engineering, electronics,communications engineering, and computer engineering.