Md Waseem Ahmad – författare

The book discusses aspects such as converter design, control techniques, and other functionality augmented in the controllers mandated by the grid. It further explains how the power from renewable energy is converted to electrical energy and integrated into the grid smoothly. It showcases how an electrical motor powered by a battery is controlled in electric vehicles.Features:Incorporates the latest advancements in intelligent control and converter design for renewable energy and electric vehicles.Focuses on power electronics and control for a wide range of topics like integration of renewable energy sources, converter topologies and their design, and energy management.Discusses the efficient control applied to power electronic converters for improved performance.Presents practical implementation guidelines for intelligent control algorithms and converter design.Includes case studies, simulation examples, and real-world applications to facilitate the application of intelligent control techniques in renewable energy and electric vehicle systems.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and automotive engineering.

PHOTOVOLTAIC SYSTEMS TECHNOLOGY 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 book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems.