Download or read book Neural Control of Renewable Electrical Power Systems written by Edgar N. Sánchez and published by Springer Nature. This book was released on 2020-05-09 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. It presents modern control algorithms based on neural identification for different renewable energy sources, such as wind power, which uses doubly-fed induction generators, solar power, and battery banks for storage. It then discusses the use of the proposed controllers to track doubly-fed induction generator dynamics references: DC voltage, grid power factor, and stator active and reactive power, and the use of simulations to validate their performance. Further, it addresses methods of testing low-voltage ride-through capacity enhancement in the presence of grid disturbances, as well as the experimental validation of the controllers under both normal and abnormal grid conditions. The book then describes how the proposed control schemes are extended to control a grid-connected microgrid, and the use of an IEEE 9-bus system to evaluate their performance and response in the presence of grid disturbances. Lastly, it examines the real-time simulation of the entire system under normal and abnormal conditions using an Opal-RT simulator.

Download or read book Neural Control of Renewable Electrical Power Systems written by Edgar N. Sánchez and published by Springer. This book was released on 2020-05-10 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. It presents modern control algorithms based on neural identification for different renewable energy sources, such as wind power, which uses doubly-fed induction generators, solar power, and battery banks for storage. It then discusses the use of the proposed controllers to track doubly-fed induction generator dynamics references: DC voltage, grid power factor, and stator active and reactive power, and the use of simulations to validate their performance. Further, it addresses methods of testing low-voltage ride-through capacity enhancement in the presence of grid disturbances, as well as the experimental validation of the controllers under both normal and abnormal grid conditions. The book then describes how the proposed control schemes are extended to control a grid-connected microgrid, and the use of an IEEE 9-bus system to evaluate their performance and response in the presence of grid disturbances. Lastly, it examines the real-time simulation of the entire system under normal and abnormal conditions using an Opal-RT simulator.

Download or read book Power Electronics for Renewable and Distributed Energy Systems written by Sudipta Chakraborty and published by Springer Science & Business Media. This book was released on 2013-06-12 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: While most books approach power electronics and renewable energy as two separate subjects, Power Electronics for Renewable and Distributed Energy Systems takes an integrative approach; discussing power electronic converters topologies, controls and integration that are specific to the renewable and distributed energy system applications. An overview of power electronic technologies is followed by the introduction of various renewable and distributed energy resources that includes photovoltaics, wind, small hydroelectric, fuel cells, microturbines and variable speed generation. Energy storage systems such as battery and fast response storage systems are discussed along with application-specific examples. After setting forth the fundamentals, the chapters focus on more complex topics such as modular power electronics, microgrids and smart grids for integrating renewable and distributed energy. Emerging topics such as advanced electric vehicles and distributed control paradigm for power system control are discussed in the last two chapters. With contributions from subject matter experts, the diagrams and detailed examples provided in each chapter make Power Electronics for Renewable and Distributed Energy Systems a sourcebook for electrical engineers and consultants working to deploy various renewable and distributed energy systems and can serve as a comprehensive guide for the upper-level undergraduates and graduate students across the globe.

Download or read book Renewable Energy Systems written by Ahmad Taher Azar and published by Academic Press. This book was released on 2021-09-09 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Modeling Identification and Control Methods in Renewable Energy Systems written by Nabil Derbel and published by Springer. This book was released on 2018-12-24 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”. “Identification” provides mechanisms to establish the models and “control” provides mechanisms to improve system performances. This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.

Download or read book Soft Computing in Green and Renewable Energy Systems written by Kasthurirangan Gopalakrishnan and published by Springer Science & Business Media. This book was released on 2011-08-20 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

Download or read book Power Electronics and Renewable Energy Systems written by C. Kamalakannan and published by Springer. This book was released on 2014-11-19 with total page 1546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the Proceedings of International Conference on Power Electronics and Renewable Energy Systems (ICPERES 2014) held at Rajalakshmi Engineering College, Chennai, India. These research papers provide the latest developments in the broad area of Power Electronics and Renewable Energy. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Download or read book Intelligent Renewable Energy Systems written by Gerasimos Rigatos and published by Springer. This book was released on 2016-08-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Neural and Fuzzy Logic Control of Drives and Power Systems written by Marcian Cirstea and published by Newnes. This book was released on 2002-10-08 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: *Introduces cutting-edge control systems to a wide readership of engineers and students *The first book on neuro-fuzzy control systems to take a practical, applications-based approach, backed up with worked examples and case studies *Learn to use VHDL in real-world applications Introducing cutting edge control systems through real-world applications Neural networks and fuzzy logic based systems offer a modern control solution to AC machines used in variable speed drives, enabling industry to save costs and increase efficiency by replacing expensive and high-maintenance DC motor systems. The use of fast micros has revolutionised the field with sensorless vector control and direct torque control. This book reflects recent research findings and acts as a useful guide to the new generation of control systems for a wide readership of advanced undergraduate and graduate students, as well as practising engineers. The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design. Unlike the academic monographs that have previously been published on each of these subjects, this book combines them and is based round case studies of systems analysis, control strategies, design, simulation and implementation. The result is a guide to applied control systems design that will appeal equally to students and professional design engineers. The book can also be used as a unique VHDL design aid, based on real-world power engineering applications.

Download or read book Modeling Analysis and Control of Smart Energy Systems written by Naoui, Mohamed and published by IGI Global. This book was released on 2024-08-08 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing demand for cleaner and more intelligent energy solutions poses a challenge that resonates across academic, engineering, and policymaking spheres. The complexity of integrating renewable energy sources, energy storage solutions, and advanced communication technologies demands a comprehensive understanding, rigorous analysis, and innovative control strategies. The academic community, in particular, seeks a guiding light through this intricate maze of evolving energy dynamics. Modeling, Analysis, and Control of Smart Energy Systems is a groundbreaking publication that offers more than theoretical exploration; it is a roadmap equipped with the knowledge and tools required to shape the future of energy systems. From laying conceptual foundations to unraveling real-world case studies, the book seamlessly bridges the gap between theory and application. Its comprehensive coverage of mathematical modeling, dynamic system analysis, intelligent control strategies, and the integration of renewable energy sources positions it as an authoritative reference for researchers, engineers, and policymakers alike.

Download or read book Latest Trends in Renewable Energy Technologies written by Shelly Vadhera and published by Springer Nature. This book was released on 2021-07-01 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the National Conference on Renewable Energy and Sustainable Environment (NCRESE 2020) and examines a range of reliable energy-efficient harvesting technologies, their applications and utilization of available alternate energy resources. The topics covered include alternate energy technologies, smart grid topologies and their relevant issues, solar thermal and bio-energy systems, electric vehicles and energy storage systems and its control issues. The book also discusses various properties and performance attributes of advance renewable energy techniques and impact on environmental sustainability. The book will be useful for researchers and professionals working in the areas of energy and sustainable environment and the allied fields.

Download or read book Intelligent Methods in Electrical Power Systems written by Chetan B. Khadse and published by Springer Nature. This book was released on with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Innovations in Renewable Energies Offshore written by Carlos Guedes Soares and published by CRC Press. This book was released on 2024-11-11 with total page 1135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contribution of renewable energy offshore to the total energy production is increasing, as is the interest in this topic. Innovations in Renewable Energies Offshore includes the papers presented at the 6th International Conference on Renewable Energies Offshore (RENEW 2024, 19-21 November, 2024, Lisbon, Portugal), and aims to contribute to the knowledge about the developments and experience obtained in concept development, design and operation of such devices. The contributions cover a wide range of topics, including: Resource assessment Wind Energy Wave Energy Tidal Energy Photovoltaic Energy Hydrogen Offshore Multiuse Platforms PTO design Economic assessment Materials and structural design Maintenance Vessels Innovations in Renewable Energies Offshore will be of interest to academics and professionals involved or interested in applications of renewable energy resources offshore.

Download or read book Fault Diagnosis for Electric Power Systems and Electric Vehicles written by G. Rigatos and published by CRC Press. This book was released on 2024-10-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present monograph offers a detailed and in-depth analysis of the topic of fault diagnosis for electric power systems and electric vehicles. First, the monograph treats the problem of Fault diagnosis with model-based and model-free techniques (Model-based fault diagnosis techniques and Model-free fault diagnosis techniques). Next, the monograph provides a solution for the problem of Control and fault diagnosis for Synchronous Generator-based renewable energy systems (Control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine turbine and synchronous-generator unit. Additionally, the monograph introduces novel solutions for the problem of Fault diagnosis for electricity microgrids and gas processing units (Fault diagnosis for electric power DC microgrids and Fault diagnosis for electrically actuated gas compressors). Furthermore, the monograph analyzes and solves the problem of Fault diagnosis for gas and steam-turbine power generation units (Fault diagnosis for the gas-turbine and Synchronous Generator electric power unit and for the steam-turbine and synchronous generator power unit). Finally, the monograph provides a solution for the problem of Fault diagnosis for wind power units and for the distribution grid (Fault diagnosis for wind power generators and Fault diagnosis for the electric power distribution grid). The new fault detection and isolation methods that the monograph develops are of generic use and are addressed to a wide class of nonlinear dynamical systems, with emphasis on electric power systems and electric vehicles. On the one side, model-based fault detection and isolation methods are analyzed. In this case, known models about the dynamics of the monitored system are used by nonlinear state observers and Kalman Filters, which emulate the system’s fault-free condition. On the other side, model-free fault detection and isolation methods are analyzed. In this case, raw data are processed by neural networks and nonlinear regressors to generate models that emulate the fault-free condition of the monitored system. Statistical tests based on the processing of the residuals, which are formed between the outputs of the monitored system and the outputs of the fault-free model provide objective and almost infallible criteria about the occurrence of failures. The new fault detection and isolation methods with statistical procedures for defining fault thresholds enable early fault diagnosis and reveal incipient changes in the parameters of the monitored systems.

Download or read book Artificial Intelligence for Smarter Power Systems written by Marcelo Godoy Simões and published by IET. This book was released on 2021-07-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the use of fuzzy logic for power grids. Power systems need to accommodate intermittent renewables and changes in loads while ensuring high power quality. Fuzzy logic uses values between 0 and 1 rather than binary ones, offering advantages in adaptability for energy systems with renewables.

Download or read book Urban Energy Systems written by Deepak Kumar and published by John Wiley & Sons. This book was released on 2023-09-13 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: URBAN ENERGY SYSTEMS With climate change and energy issues infiltrating seemingly every aspect of our lives, it is more important than ever to continue the march toward sustainability. It is not just about switching to a gasoline-free car or installing solar panels. Many countries, including our own, are dealing with these very difficult problems by converting to “smart cities” and other “green energy” projects. This is perhaps one of the most important issues facing our world today. Urban energy systems play a critical role in the sustainability and resilience of smart cities. As cities continue to grow and face increasing energy demands, it becomes essential to develop efficient and sustainable energy solutions. Modelling and simulation techniques provide valuable insights into the design, operation, and optimization of urban energy systems, supporting the transition towards more sustainable and smart cities. This perspective highlights the importance of modelling and simulation in achieving sustainable urban energy systems and their role in shaping smart cities. Modelling and simulation play a crucial role in achieving sustainable urban energy systems and shaping smart cities. By integrating diverse energy systems, optimizing renewable energy integration, enabling demand-side management, supporting microgrid and storage system design, enhancing resilience, and facilitating policy evaluation, these tools empower decision-makers to develop and implement sustainable energy solutions. Embracing a modelling and simulation perspective in urban energy planning supports the transition towards more sustainable, efficient, and resilient smart cities that meet the energy needs of present and future generations. This book uncovers the latest research in the field of urban energy sustainability and climate management. Urban energy sustainability and climate management have been employed successfully for various purposes like human-computer interaction, decision-making, recommender systems, and so on. Data analytics have supported these applications through various efficient and effective methods. Covering all of these topics, this is a “one-stop shop” for engineers, students, policymakers, scientists, and other industry professionals working with smart cities and urban energy systems. It is a must have for any library.

Download or read book Advances in Integrated Energy Systems Design Control and Optimization written by Josep M. Guerrero and published by MDPI. This book was released on 2018-03-23 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advances in Integrated Energy Systems Design, Control and Optimization" that was published in Applied Sciences