Author: Hajime Igarashi Publisher: Elsevier ISBN: 0323996752 Category : Technology & Engineering Languages : en Pages : 384
Book Description
Topology Optimization and AI-based Design of Power Electronic and Electrical Devices: Principles and Methods provides an essential foundation in the emergent design methodology as it moves towards commercial development in such electrical devices as traction motors for electric motors, transformers, inductors, reactors and power electronics circuits. Opening with an introduction to electromagnetism and computational electromagnetics for optimal design, the work outlines principles and foundations in finite element methods and illustrates numerical techniques useful for finite element analysis. It summarizes the foundations of deterministic and stochastic optimization methods, including genetic algorithm, particle swarm optimization and simulated annealing, alongside representative algorithms. The work goes on to discuss parameter optimization and topology optimization of electrical devices alongside current implementations including magnetic shields, 2D and 3D models of electric motors, and wireless power transfer devices. The work concludes with a lengthy exposition of AI-based design methods, including surrogate models for optimization, deep neural networks, and automatic design methods using Monte-Carlo tree searches for electrical devices and circuits. Assists researchers and design engineers in applying emergent topology design optimization to power electronics and electrical device design, supported by step-by-step methods, heuristic derivation, and pseudocodes Proposes unique formulations of AI-based design for electrical devices using Monte Carlo tree search and other machine learning methods Is richly accompanied by detailed numerical examples and repletes with computational support materials in algorithms and explanatory formulae Includes access to pedagogical videos on topics including the evolutionary process of topology optimization, the distribution of genetic algorithms, and CMA-ES
Author: Xin Zhang Publisher: Springer Nature ISBN: 9819904595 Category : Technology & Engineering Languages : en Pages : 221
Book Description
A power converter is a device used in electrical engineering, power engineering, and the electric power sector to convert electric energy from one form to another, such as converting between AC and DC, changing voltage or frequency, or a combination of these. It is used in a variety of applications, such as industrial drives, power supply, energy generating equipment, consumer goods, electrical vehicles/aeroplanes/ships, smart grids and more.This book will open a door for engineers to design the power converters via the artificial intelligence (AI) method. It begins by reviewing current AI technology in power converters. The book then introduces customized AI algorithms for power converters that take into account the particular characteristics of power converters. The book then presents a set of AI-based design methodologies for power devices, including DC/DC converters, resonant DC/DC converters, bidirectional DC/DC converters, DC/AC inverters, and AC/DC rectifiers. This is the first book to cover all you need to know about using AI to create power converters, including a literature review, algorithm, and circuit design.
Author: Nagendra Singh Publisher: CRC Press ISBN: 1000921786 Category : Computers Languages : en Pages : 235
Book Description
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation
Author: Rabindra Nath Shaw Publisher: Springer Nature ISBN: 9811610118 Category : Technology & Engineering Languages : en Pages : 109
Book Description
This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.
Author: Liwei Zhou Publisher: Springer ISBN: 9783031594007 Category : Technology & Engineering Languages : en Pages : 0
Book Description
Power electronic devices and systems are attracting growing attention due to the electrification of energy conversion systems being a key factor in efforts to reduce fuel combustion and achieve carbon neutrality. This book provides a concept of software-defined power electronics architecture to generalize the power converter design and control procedures with various interfaced applications. The ultimate objective is to construct a reconfigurable software-defined power electronics architecture with standardized atomic power modules that can be leveraged for different electrified energy resources, such as electric vehicle charging, electric motor traction, solar power, and wind power. Several advanced control and design techniques are introduced in detail to achieve the proposed concept with a high-performance energy conversion system, including optimization-based control and estimation, variable frequency soft switching, and passive component design and optimization. The proposed generalized architecture also contributes to avoiding redundant hardware and algorithms design procedures. Software-Defined Power Electronics: Converter Configuration, Control, and Optimization is a guide for engineers and academic researchers to the highly specialized skills required for working in the fields of power converter design and development.
Author: Vinod Kumar Singh Publisher: Springer ISBN: 9789813367555 Category : Technology & Engineering Languages : en Pages : 260
Book Description
This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.
Author: Zhen Zhang Publisher: John Wiley & Sons ISBN: 1119654084 Category : Technology & Engineering Languages : en Pages : 404
Book Description
Wireless Power Transfer Presents a detailed overview of multiple-objective wireless power transfer (WPT) technologies, including the latest research developments and emerging applications Wireless Power Transfer: Principles and Applications offers comprehensive coverage of all key aspects of wireless power transfer (WPT) technologies, including fundamental theory, intelligent control, configuration analysis, and emerging power electronics techniques. This unique resource is the first book of its kind to provide in-depth discussion of energy transmission control schemes with emphasis on omni-directional vector control, energy-encryption-based security control, demand-based optimal designs for transmitter, pickup, and self-resonance coils, multiple-objective power distribution, and maximum efficiency and power control under various conditions. In addition, this text: Presents the methodologies and approaches of emerging multiple-objective WPT technologies Discusses various applications for wireless charging techniques, including contactless power for electric vehicles, in-flight charging for unmanned aerial vehicles, and underwater wireless charging Covers both intermittent and continuous impedance matching methods for different classes of coils Features more than 400 high-quality illustrations and numerous figures and tables throughout Wireless Power Transfer: Principles and Applications is an invaluable technical reference for academic researchers and industry professionals in power and energy engineering, and an excellent textbook for postgraduate courses in relevant areas of industrial and electronic engineering.
Author: Hajime Igarashi
Author: Xin Zhang
Author: Nagendra Singh
Author: Rabindra Nath Shaw
Author: Liwei Zhou
Author: Vinod Kumar Singh
Author: Zhen Zhang
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