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Renewable Energy Optimization, Planning and Control

Author: Anita Khosla

Publisher: Springer Nature

Published: 2023-03-07

Total Pages: 467

ISBN-13: 981198963X

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 7–8, 2022. 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.

Renewable Energy Optimization, Planning and Control

Author: Anita Khosla

Publisher: Springer Nature

Published: 2021-09-28

Total Pages: 188

ISBN-13: 9811646635

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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.

Renewable Energy Systems

Author: Ahmad Taher Azar

Publisher: Academic Press

Published: 2021-09-09

Total Pages: 734

ISBN-13: 0128203986

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Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems

Intelligent Renewable Energy Systems

Author: Neeraj Priyadarshi

Publisher: John Wiley & Sons

Published: 2022-01-19

Total Pages: 484

ISBN-13: 1119786274

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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Sustainable Energy Systems Planning, Integration and Management

Author: Kim Guldstrand Larsen

Publisher: MDPI

Published: 2020-01-21

Total Pages: 286

ISBN-13: 3039280465

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Energy systems worldwide are undergoing major transformation as a consequence of the transition towards the widespread use of clean and sustainable energy sources. Basically, this involves massive changes in technical and organizational levels together with tremendous technological upgrades in different sectors ranging from energy generation and transmission systems down to distribution systems. These actions generate huge science and engineering challenges and demands for expert knowledge in the field to create solutions for a sustainable energy system that is economically, environmentally, and socially viable while meeting high security requirements. This book covers these promising and dynamic areas of research and development, and presents contributions in sustainable energy systems planning, integration, and management. Moreover, the book elaborates on a variety of topics, ranging from design and planning of small- to large-scale energy systems to the operation and control of energy networks in different sectors, namely electricity, heat, ‎and transport.

Hybrid Renewable Energy Systems

Author: Djamila Rekioua

Publisher: Springer Nature

Published: 2019-11-27

Total Pages: 277

ISBN-13: 303034021X

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This book discusses the supervision of hybrid systems and presents models for control, optimization and storage. It provides a guide for practitioners as well as graduate and postgraduate students and researchers in both renewable energy and modern power systems, enabling them to quickly gain an understanding of stand-alone and grid-connected hybrid renewable systems. The book is accompanied by an online MATLAB package, which offers examples of each application to help readers understand and evaluate the performance of the various hybrid renewable systems cited. With a focus on the different configurations of hybrid renewable energy systems, it offers those involved in the field of renewable energy solutions vital insights into the control, optimization and supervision strategies for the different renewable energy systems.

Smart Structures in Energy Infrastructure

Author: Anita Khosla

Publisher: Springer Nature

Published: 2021-12-01

Total Pages: 214

ISBN-13: 9811647445

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Analytics and Optimization for Renewable Energy Integration

Author: Ning Zhang

Publisher: CRC Press

Published: 2019-02-21

Total Pages: 261

ISBN-13: 0429847696

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The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Author: Moussa Labbadi

Publisher: Springer Nature

Published: 2022-04-14

Total Pages: 244

ISBN-13: 303098737X

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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.

Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid

Author: Aashish Kumar Bohre

Publisher: Springer Nature

Published: 2022-05-21

Total Pages: 1013

ISBN-13: 9811909792

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This book focuses on various challenges, solutions, and emerging technologies in the operation, control, design, optimization, and protection of microgrids in the presence of hybrid renewable energy sources and electric vehicles. This book provides an insight into the potential applications and recent development of different types of renewable energy systems including AC/DC microgrids, RES integration issues with the grid, electric vehicle technology, etc. The book serves as an interdisciplinary platform for the audience working in the focused area to access information related to energy management, modeling, and control. It covers fundamental knowledge, design, mathematical modeling, applications, and practical issues with sufficient design problems and case studies with detailed planning aspects. This book will serve as a guide for researchers, academicians, practicing engineers, professionals, and scientists, as well as for graduate and postgraduate students working in the area of various applications of RES, Electric Vehicles, and AC/DC Microgrid.