Adaptive Power Quality for Power Management Units using Smart Technologies

This book covers issues associated with smart systems due to the presence

of onboard nonlinear components. It discusses the advanced architecture

of smart systems for power management units. It explores issues of power

management and identifies hazardous signals in the power management

units of smart devices. It



• Presents adaptive artificial intelligence and machine learning-based

control strategies.

• Discusses advanced simulations and data synthesis for various power

management issues.

• Showcases solutions to the uncertainty and reliability issues in power

management 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 electrical

grids, the benefits of smart grids to customers and stakeholders, properties

of smart grids, smart grid architecture, smart grid communication, and

smart grid security. It further covers the architecture of advance power management

units (PMU) of smart devices, and the identification of harmonic

distortions with respect to various sensor-based technology. It will serve as

an ideal reference text for senior undergraduate and graduate students, and

academic researchers in fields including electrical engineering, electronics,

communications engineering, and computer engineering.