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## Meet the editor

Professor Dr. Eng. Lucian Mihet-Popa received his Habilitation (2015) and Ph.D. (2002) in Electrical Engineering, a master's degree (2000) in Electric Drives and Power Electronics, and a bachelor's degree (1999) in Electrical Engineering, all from the Politehnica University of Timisoara, Romania. He has been a Full Professor of Smart Energy Technology, at Oestfold University College, Norway, since 2016. He is also the founder and

head of the university's research group on intelligent control of energy conversion and storage systems and one of the coordinators of the master's program in green energy technology. He has previously worked with Danish Technical University and Aalborg University, Denmark; Siegen University, Germany; and the Technical University of Timisoara. Dr. Mihet has published more than 180 papers in national and international journals and conference proceedings and 15 books. He has been granted more than twenty international grants/projects, such as FP7, EEA, and Horizon 2020, as well as more than ten national research grants.

## Contents


### **Chapter 6 141**

Segmented Coil Design Powering the Next Generation of High-efficiency Robust Micro-implants *by Yun Tao, Rosti Lemdiasov, Arun Venkatasubramanian and Marshal Wong*

Preface

Over the past decade, with rapidly evolving new technologies, and increased usage of digital information, monitoring, and control, the smart grid concept has been promoted all over the world, attracting huge interest. A smart grid is an intelligent electricity network that uses digital and other advanced technologies, such as cyber security communication or Internet of Energy technologies, that can be integrated in a cost-efficient manner. It can monitor and control the generation and transport of electricity to the end user/consumer in an efficient, economic, and secure way to

ensure a sustainable power system with low losses and high levels of quality.

In the future, smart grids with energy management systems will include more distributed generation systems, such as renewable energy sources, as well as power electronics converters, energy storage technologies, advanced communications, and smart homes. Smart grids and electric vehicles (EVs) are two examples of fast-growing technologies that would greatly benefit from the development of advanced infrastructure and components. On the edge of the smart grid infrastructure, where consumers can produce energy from several local and distributed generation units, the need for energy management tools and control algorithms becomes an important option. To address these issues, many papers, research reports and books have proposed numerous smart grid concepts, software architectures, and simulation models/tools.

This book presents a comprehensive overview of smart grids, with information on emerging grid structures and future vision in the development and deployment of smart grids. Advancements in smart grids include advanced smart grid architectures with smart power systems containing communication and information technologies, renewable energy integration with power electronic converters and energy storage systems suitable for smart grid applications, and energy management strategies, including demand-side management (DSM) and demand response (DR). The book also discusses emerging applications, including EVs and charging stations, as well as

The book contains six chapters organized into three sections. Section 1, "AC-DC Smart Hybrid Microgrids: Modeling, Control and Applications", contains two chapters. Chapter 1, "A Review on the Driving Forces, Challenges, and Applications of AC/DC Hybrid Smart Microgrids", discusses the advantages and disadvantages of AC/DC hybrid microgrids and analyzes potential applications that would benefit from such infrastructures. It also discusses the most significant efforts and requirements for the constitution of a solid regulatory framework for AC/DC hybrid grids. Chapter 2, "Hierarchical Control of an Islanded AC Micro Grid Using FS-MPC and an EMS", deals with the modelling of DER components in an AC microgrid, with each component using Finite Set-Model Predictive Control (FS-MPC) for controlling their power electronic converters. A supervisory controller for the energy management system of the microgrid to operate in different power flows through the proposed

big data management, cloud computing, and artificial intelligence.

control algorithm has also been designed.
