Hybrid Renewable Energy Systems: Optimization and Power Management Control, Rekioua Djamila
Автор: Joshua Adam Taylor Название: Convex Optimization of Power Systems ISBN: 1107076870 ISBN-13(EAN): 9781107076877 Издательство: Cambridge Academ Рейтинг: Цена: 12038.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
Описание: This book first covers power quality control, including various approaches to improve the power quality as well as conventional PI control, proportional-resonant control, and advanced repetitive control. It then analyzes, in detail, neutral line provision, where one topology and several control strategies are discussed.
Автор: Jizhong Zhu Название: Optimization of Power System Operation 2e ISBN: 1118854152 ISBN-13(EAN): 9781118854150 Издательство: Wiley Рейтинг: Цена: 19317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization of Power System Operation, 2 nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems.
Название: Hybrid Renewable Energy Systems and Microgrids ISBN: 0128217243 ISBN-13(EAN): 9780128217245 Издательство: Elsevier Science Рейтинг: Цена: 21728.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Hybrid Renewable Energy Systems and Microgrids covers the modeling and analysis for each type of integrated and operational hybrid energy system. Looking at the fundamentals for conventional energy systems, decentralized generation systems, RES technologies and hybrid integration of RES power plants, the most important contribution this book makes is combining emerging energy systems that improve micro and smart grid systems and their components. Sections cover traditional system characteristics, features, challenges and benefits of hybrid energy systems over the conventional power grid, the deployment of emerging power electronic technologies, and up-to-date electronic devices and systems, including AC and DC waveforms.
Conventional, emerging and hierarchical control methods and technologies applied in microgrid operations are covered to give researchers and practitioners the information needed to ensure reliability, resilience and flexibility of implemented hybrid energy systems.
Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems.
Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.
Автор: Guo, Fanghong (agency For Science, Technology And Research, Singapore) Wen, Changyun Song, Yong-duan (chongqing University, China) Название: Distributed control and optimization technologies in smart grid systems ISBN: 1138088595 ISBN-13(EAN): 9781138088597 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book aims to equalize the theoretical involvement with industrial practicality by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems.
Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems. Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.
Автор: Erdinc, Ozan Название: Optimization in Renewable Energy Systems ISBN: 0081010419 ISBN-13(EAN): 9780081010419 Издательство: Elsevier Science Рейтинг: Цена: 17685.00 р. Наличие на складе: Поставка под заказ.
Описание:
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES).
Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance.
This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises.
This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students.
Автор: Sбnchez Edgar N., Djilali Larbi Название: Neural Control of Renewable Electrical Power Systems ISBN: 3030474429 ISBN-13(EAN): 9783030474423 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advanced control techniques that use neural networks to deal with grid disturbances in the context renewable energy sources, and to enhance low-voltage ride-through capacity, which is a vital in terms of ensuring that the integration of distributed energy resources into the electrical power network.
Автор: Perelmuter, V. M. Название: Renewable energy systems : ISBN: 149876598X ISBN-13(EAN): 9781498765985 Издательство: Taylor&Francis Рейтинг: Цена: 21437.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The development of renewable sources for electrical energy has become a mainstream focus in the field of electrical engineering. This book can be used by both engineers and researchers working to develop new electrical systems and investigate existing ones. Additionally, it can serve as a guide for undergraduate and graduate students during their study of electrical fields. The electrical devices that are used in renewable sources have complicated inner structures, and methods of computer simulation make the development of these systems easier and faster. Simulink, and its toolbox SimPowerSystems, is the most popular means for simulation of electrical systems. The topic of wind-generator (WG) systems simulation merits detailed consideration; therefore, this text covers an in-depth exploration of the simulation of WG systems, systems with batteries, photovoltaic systems, fuel elements, microturbines, and hydroelectric systems.
Автор: Bizon Nicu Название: Optimization of the Fuel Cell Renewable Hybrid Power Systems ISBN: 3030402401 ISBN-13(EAN): 9783030402402 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS.
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