Adaptive Power Quality for Power Management Units using Smart Technologies

This proposed book covers the issues associated in smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart system for power management unit. It explores the issues in power management and identifies the hazardous signal in power management unit of smart devices. 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 filter, shunt hybrid active power filter, and industrial internet of things in power quality management. The book comprehensively discusses advancements of traditional electrical grid, benefit of smart grid to customers, benefit of smart grid to stakeholders, properties of smart grid, smart grid architecture, smart grid communication, and smart grid security. It further covers architecture of advance power management units (PMU) of smart devices, and identification of harmonic distortions with respect to various sensor-based technology. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics, and communications engineering, and computer engineering.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Future Generation Information Systems
Release date:	September 2023
First published:	2024
Editors:	Arti Vaish • Pankaj Kumar Goswami • Surbhi Bhatia • Mokhtar Shouran
Dimensions:	234 x 156mm (L x W)
Pages:	368
ISBN-13:	978-1-03-239299-8
Categories:	Books
LSN:	1-03-239299-1
Barcode:	9781032392998

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