Adaptive Power Quality for Power Management Units using Smart Technologies
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Book Overview
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.
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