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Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems, Labbadi


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Цена: 18167.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Labbadi
Название:  Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems
ISBN: 9783030987398
Издательство: Springer
Классификация:



ISBN-10: 3030987396
Обложка/Формат: Soft cover
Страницы: 225
Вес: 0.40 кг.
Дата издания: 30.04.2023
Серия: Studies in Systems, Decision and Control
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 111 illustrations, color; 10 illustrations, black and white; xxxii, 225 p. 121 illus., 111 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: An Optimal Integration Of Renewable Energy Resources Into Grid
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.
Дополнительное описание: Intelligent control on wind farm.- Modeling, optimization and sizing of hybrid PV-CSP plants PV-CSP hybrid plants.- Appendix.



Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid

Автор: Labbadi Moussa, Elyaalaoui Kamal, Bousselamti Loubna
Название: Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid
ISBN: 3030987361 ISBN-13(EAN): 9783030987367
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
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Описание: In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system.

Intelligent Control and Smart Energy Management

Автор: Blondin
Название: Intelligent Control and Smart Energy Management
ISBN: 3030844730 ISBN-13(EAN): 9783030844738
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating.

Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language

Автор: Nwulu Nnamdi, Gbadamosi Saheed Lekan
Название: Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language
ISBN: 3030003949 ISBN-13(EAN): 9783030003944
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems.

Hybrid Renewable Energy Systems: Optimization and Power Management Control

Автор: Rekioua Djamila
Название: Hybrid Renewable Energy Systems: Optimization and Power Management Control
ISBN: 3030340236 ISBN-13(EAN): 9783030340230
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Introduction.- Hybrid Renewable Energy Systems Overview.- Power Electronics in Hybrid Renewable Energy Systems.- MPPT methods in Hybrid Renewable Energy Systems.- Storage in Hybrid Renewable Energy Systems.- Sizing of Hybrid Renewable Energy Systems.- Power Management and Supervision of Hybrid Renewable Energy.

Nature Inspired Optimization Techniques for Image Processing Applications

Автор: Jude Hemanth; Valentina Emilia Balas
Название: Nature Inspired Optimization Techniques for Image Processing Applications
ISBN: 303007126X ISBN-13(EAN): 9783030071264
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the First International Conference, Mmcitre 2020

Автор: Sahni Manoj, Merigу Josй M., Jha Brajesh Kumar
Название: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the First International Conference, Mmcitre 2020
ISBN: 9811599521 ISBN-13(EAN): 9789811599521
Издательство: Springer
Цена: 27950.00 р.
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Описание: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing.

Intelligent Renewable Energy Systems

Автор: Rigatos
Название: Intelligent Renewable Energy Systems
ISBN: 3319391542 ISBN-13(EAN): 9783319391540
Издательство: Springer
Рейтинг:
Цена: 26122.00 р.
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Описание:

Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained.
The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed:
• Modeling and control of power generators (PMSGs, DFIGs);
• Modeling and control of power electronics (converters, inverters);
• Modeling and fault diagnosis of the transmission and distribution Grid; and
• Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units).
Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.
Intelligent Computing, Networked Control, and Their Engineering Applications

Автор: Dong Yue; Chen Peng; Dajun Du; Tengfei Zhang; Min
Название: Intelligent Computing, Networked Control, and Their Engineering Applications
ISBN: 9811063729 ISBN-13(EAN): 9789811063725
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017.

Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the Second International Conference, MMCITRE 2021

Автор: Sahni Manoj, Merigу Josй M., Sahni Ritu
Название: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the Second International Conference, MMCITRE 2021
ISBN: 9811659516 ISBN-13(EAN): 9789811659515
Издательство: Springer
Рейтинг:
Цена: 27950.00 р.
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Описание: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.

Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques

Автор: Han Yaofei, Gong Chao, Gao Jinqiu
Название: Model Predictive Control for AC Motors: Robustness and Accuracy Improvement Techniques
ISBN: 9811680655 ISBN-13(EAN): 9789811680656
Издательство: Springer
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Цена: 5589.00 р.
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Описание: This book introduces how to improve the accuracy and robustness of model predictive control. Overall, this book solves the problems in a systematic and innovative way. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

Intelligent Systems

Автор: Shin, Yung C.
Название: Intelligent Systems
ISBN: 1420051768 ISBN-13(EAN): 9781420051766
Издательство: Taylor&Francis
Рейтинг:
Цена: 26796.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Renewable Energy Optimization, Planning and Control: Proceedings of Icrte 2021, Volume 1

Автор: Khosla Anita, Aggarwal Monika
Название: Renewable Energy Optimization, Planning and Control: Proceedings of Icrte 2021, Volume 1
ISBN: 9811646627 ISBN-13(EAN): 9789811646621
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.


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