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. ItPresents adaptive artificial intelligence and machine learning-based control strategiesDiscusses advanced simulations and data synthesis for various power management issuesShowcases solutions to the uncertainty and reliability issues in power management unitsIdentifies new power quality challenges in smart devicesExplains hybrid active power filters, shunt hybrid active power filters, and the industrial internet of things in power quality managementThis 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.
