Farhad Ilahi Bakhsh – författare

Discover the deep insights into the operation, modulation, and control strategies of multilevel converters, alongside their recent applications in variable speed drives, renewable energy generation, and power systems.

Multilevel converters have gained attention in recent years for medium/high voltage and high power industrial and residential applications. The main advantages of multilevel converters over two level converters include less voltage stress on power semiconductors, low dv/dt, low common voltage, reduced electromagnetic interference, and low total harmonics distortion, among others. Better output power quality is ensured by increasing the number of levels in the synthesized output voltage waveform. Several multilevel topologies have been reported in the literature, such as neutral point clamped (NPC), flying capacitor (FC), cascaded H-bridge (CHB), hybrid cascaded H-bridge, asymmetrical cascaded H-bridge, modular multilevel converters (MMC), active neutral point clamped converters (ANPC), and packed U-cell type converters and various reduced device counts and a reduced number of source-based topologies have been proposed in literature.

The multilevel converter, although a proven and enabling technology, still presents numerous challenges in topologies, modulation, and control, as well as in need-based applications. Since multilevel converters offer a wide range of possibilities, research and development in the areas of multilevel converter topologies, modulation, and control in various applications are still growing. To further improve multilevel converter energy efficiency, reliability, power density, and cost, many research groups across the world are working to broaden the application areas of multilevel converters and make them more attractive and competitive compared to classic topologies.

Multilevel Converters intends to provide deep insight about multilevel converter operation, modulation, and control strategies and various recent applications of multilevel converters such as in variable speed drives, renewable energy generation, and power systems.

Discover the deep insights into the operation, modulation, and control strategies of multilevel converters, alongside their recent applications in variable speed drives, renewable energy generation, and power systems.

Multilevel converters have gained attention in recent years for medium/high voltage and high power industrial and residential applications. The main advantages of multilevel converters over two level converters include less voltage stress on power semiconductors, low dv/dt, low common voltage, reduced electromagnetic interference, and low total harmonics distortion, among others. Better output power quality is ensured by increasing the number of levels in the synthesized output voltage waveform. Several multilevel topologies have been reported in the literature, such as neutral point clamped (NPC), flying capacitor (FC), cascaded H-bridge (CHB), hybrid cascaded H-bridge, asymmetrical cascaded H-bridge, modular multilevel converters (MMC), active neutral point clamped converters (ANPC), and packed U-cell type converters and various reduced device counts and a reduced number of source-based topologies have been proposed in literature.

The multilevel converter, although a proven and enabling technology, still presents numerous challenges in topologies, modulation, and control, as well as in need-based applications. Since multilevel converters offer a wide range of possibilities, research and development in the areas of multilevel converter topologies, modulation, and control in various applications are still growing. To further improve multilevel converter energy efficiency, reliability, power density, and cost, many research groups across the world are working to broaden the application areas of multilevel converters and make them more attractive and competitive compared to classic topologies.

Multilevel Converters intends to provide deep insight about multilevel converter operation, modulation, and control strategies and various recent applications of multilevel converters such as in variable speed drives, renewable energy generation, and power systems.

Discover comprehensive insights into the latest advancements in solar PV technology, including power electronics, maximum power point tracking schemes, and forecasting techniques, with a focus on improving the performance of PV systems.

A huge number of research articles and books have been published in the last two decades, covering different issues of PV efficiency, circuits, and systems for power processing and their related control. Books that have been published cover one or more topics but altogether fail to give a complete picture of the different aspects of PV systems. Photovoltaic Systems Technology aims to close the gap by providing a comprehensive review of techniques/practices that are dedicated to improving the performance of PV systems.

The book is divided into three parts: the first part is dedicated to advancements in power electronic converters for PV systems; tools and techniques for maximum power point tracking of PV systems will be covered in the second part of the book; and the third part covers advancements in techniques for solar PV forecasting. The overall focus of the book is to highlight the advancements in modeling, design, performance under faulty conditions, forecasting, and application of solar photovoltaic (PV) systems using metaheuristic, evolutionary computation, machine learning, and AI approaches. It is intended for researchers and engineers aspiring to learn about the latest advancements in solar PV technology with emphasis on power electronics involved, maximum power point tracking (MPPT) schemes, and forecasting techniques.

Discover comprehensive insights into the latest advancements in solar PV technology, including power electronics, maximum power point tracking schemes, and forecasting techniques, with a focus on improving the performance of PV systems.

A huge number of research articles and books have been published in the last two decades, covering different issues of PV efficiency, circuits, and systems for power processing and their related control. Books that have been published cover one or more topics but altogether fail to give a complete picture of the different aspects of PV systems. Photovoltaic Systems Technology aims to close the gap by providing a comprehensive review of techniques/practices that are dedicated to improving the performance of PV systems.

The book is divided into three parts: the first part is dedicated to advancements in power electronic converters for PV systems; tools and techniques for maximum power point tracking of PV systems will be covered in the second part of the book; and the third part covers advancements in techniques for solar PV forecasting. The overall focus of the book is to highlight the advancements in modeling, design, performance under faulty conditions, forecasting, and application of solar photovoltaic (PV) systems using metaheuristic, evolutionary computation, machine learning, and AI approaches. It is intended for researchers and engineers aspiring to learn about the latest advancements in solar PV technology with emphasis on power electronics involved, maximum power point tracking (MPPT) schemes, and forecasting techniques.

This edited book on “Advances in Electrical Systems and Innovative Renewable Energy Techniques” is an outcome of the selected papers presented at the International Conference on Electrical Systems & Automation, (ICESA 2023) held from 29 to 30, May 2023 at the Faculty of Sciences and technologies, Al Hoceïma, Morocco.

This edited book is an outcome of the selected papers presented at the International Conference on Electrical Systems & Automation, (ICESA 2023) held from 29 to 30 May 2023 at the Faculty of Sciences and Technologies, Al Hoceïma, Morocco. This edited book is divided into two volumes. This volume is divided into four parts, each devoted to distinct yet interconnected aspects of the subject matter. The first part presents the control of electrical machines and power converters. It covers a comparative study of different control approaches, including Proportional-Integral (PI), Fuzzy Logic, and Neural Fuzzy Logic Controllers for Boost Converters. It also presents an innovative approach for single-phase half-bridge inverters and improved direct torque control of dual three-phase permanent magnet synchronous motors. Part 2 of the book, titled "Control Systems & Automation", thoroughly explores advanced control and automation technologies in electrical systems. These chapters collectivelyshowcase the latest developments and research across various engineering domains. Several control approaches have been discussed such as fuzzy control, sliding mode control, artificial neural networks (ANN), and machine learning. The third part highlights emerging technologies and applications in various fields such as mobile robots, industry 4.0, agriculture, and health. The chapters cover a wide range of topics, including intelligent navigation for autonomous robots, self-driving car perception and pedestrian detection, machine learning for cloud and IoT-based smart agriculture, outdoor navigation systems for micro-tractors, healthcare intelligent systems for melanoma image classification, maximizing the performance of Light Emitting Diode Luminaires. The research explores innovative solutions and technologies in different domains, aiming to improve functionality in various applications. Part 4 of this book is dedicated to "Advanced Wireless Communication and Antenna Technology". This part explores cutting-edge developments and innovations in the realm of wireless communication and antenna design, with a focus on their applications and impact in various fields.

This book compiles selected papers from the International Conference on Electrical Systems and Smart Technologies (ICESST 2024), held in Dakhla, Morocco (December 11-13, 2024). It presents key research insights, offering a structured exploration of innovations in electrical systems and smart technologies.

The first section covers power electronics and electrical systems, focusing on advanced control techniques, electrical machines, and drives. It then transitions to computational intelligence and soft computing, highlighting the role of machine learning and deep learning in enhancing modern electrical systems.

Next, the book delves into IoT and embedded systems, emphasizing their impact on smart infrastructure and smart cities, addressing challenges and solutions in efficiency and effectiveness.

The smart grids and power systems section explores energy management, renewable energy integration, and forecasting, underscoring sustainability in modern power systems. This leads to a discussion on sustainable energy solutions, covering hydrogen energy, fuel cells, storage systems, and electrical mobility.

Finally, the book examines automation, robotics, and control technologies, showcasing advancements in mechatronics, industrial automation, and AI-driven robotics.

This comprehensive guide provides valuable insights into current trends, challenges, and future directions in electrical engineering and smart technologies, making it essential for professionals, researchers, and students.

This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book’s second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference.