Download or read book Application of Artificial Neural Networks for Voltage Stability Evaluation of Power Systems written by Satish. C. Vallabhan and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Application of Artificial Neural Network in Power System Analysis written by Dr.Gitanjali Saha and published by Book Rivers. This book was released on 2022-11-22 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Electric Systems Dynamics and Stability with Artificial Intelligence Applications written by James A. Momoh and published by CRC Press. This book was released on 2018-10-03 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work seeks to provide a solid foundation to the principles and practices of dynamics and stability assessment of large-scale power systems, focusing on the use of interconnected systems - and aiming to meet the requirements of today's competitive and deregulated environments. It contains easy-to-follow examples of fundamental concepts and algorithmic procedures.

Download or read book Analysis of the Voltage Stability Problem in Electric Power Systems Using Artificial Neural Networks written by Hernan Prieto Schmidt and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Application of Artificial Neural Networks for Online Voltage Stability Monitoring and Enhancement of an Electric Power System written by Saikat Chakrabarti and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Control and Dynamic Systems V41 Analysis and Control System Techniques for Electric Power Systems Part 1 of 4 written by C.T. Leonides and published by Elsevier. This book was released on 2012-12-02 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis and Control System Techniques for Electric Power Systems, Part 1 is the first volume of a four volume sequence in this series devoted to the significant theme of ""Analysis and Control Techniques for Electric Power Systems."" The broad topics involved include transmission line and transformer modeling. Since the issues in these two fields are rather well in hand, although advances continue to be made, this four volume sequence will focus on advances in areas including power flow analysis, economic operation of power systems, generator modeling, power system stability, voltage and power control techniques, and system protection, among others. This book comprises seven chapters, with the first focusing on modern approaches to modeling and control of electric power systems. Succeeding chapters then discuss dynamic state estimation techniques for large-scale electric power systems; optimal power how algorithms; sparsity in large-scale network computation; techniques for decentralized control for interconnected systems; knowledge based systems for power system security assessment; and neural networks and their application to power engineering. This book will be of interest to practitioners in the fields of electrical and computer engineering.

Download or read book Application of Machine Learning and Deep Learning Methods to Power System Problems written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Download or read book Artificial Intelligence Techniques in Power Systems written by Kevin Warwick and published by IET. This book was released on 1997 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intention of this book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies.

Download or read book Electricity Pricing written by Sawan Sen and published by CRC Press. This book was released on 2018-09-03 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electricity Pricing: Regulated, Deregulated and Smart Grid Systems presents proven methods for supplying uninterrupted, high-quality electrical power at a reasonable price to the consumer. Illustrating the evolution of the power market from a monopoly to an open access system, this essential text: Covers voltage stability analysis of longitudinal power supply systems using an artificial neural network (ANN) Explains how to improve performance using flexible alternating current transmission systems (FACTS) and high-voltage direct current (HVDC) Takes into account operating constraints as well as generation cost, line overload, and congestion for expected and inadvertent loading stress Goes beyond FACTS and HVDC to provide multi-objective optimization algorithms for the deregulated power market Proposes the use of stochastic optimization techniques in the smart grid, preparing the reader for future development Electricity Pricing: Regulated, Deregulated and Smart Grid Systems offers practical solutions for improving stability, reliability, and efficiency in real-time systems while optimizing electricity cost.

Download or read book Modern Computational Techniques for Engineering Applications written by Krishan Arora and published by CRC Press. This book was released on 2023-07-21 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

Download or read book Electric Systems Dynamics and Stability with Artificial Intelligence Applications written by James A. Momoh and published by CRC Press. This book was released on 2018-10-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work seeks to provide a solid foundation to the principles and practices of dynamics and stability assessment of large-scale power systems, focusing on the use of interconnected systems - and aiming to meet the requirements of today's competitive and deregulated environments. It contains easy-to-follow examples of fundamental concepts and algorithmic procedures.

Download or read book AI in Manufacturing and Green Technology written by Sambit Kumar Mishra and published by CRC Press. This book was released on 2020-10-20 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.

Download or read book Neural Network Computing for the Electric Power Industry written by Dejan J. Sobajic and published by Psychology Press. This book was released on 2013-06-17 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power system computing with neural networks is one of the fastest growing fields in the history of power system engineering. Since 1988, a considerable amount of work has been done in investigating computing capabilities of neural networks and understanding their relevance to providing efficient solutions for outstanding complex problems of the electric power industry. A principal objective of a power utility is to provide electric energy to its customers in a secure, reliable and economic manner. Toward this aim, utility personnel are engaged in a variety of activities in areas of supervisory control and monitoring, evaluation of operating conditions, operation planning and scheduling, system development, equipment testing, etc. Over the past decades significant advances have been made in the development of new concepts, design of hardware and software systems, and implementation of solid-state devices which all contributed to the steadily improving power system performance that we are experiencing today. Advanced information processing technologies played an important role in these development efforts. Members of the Special Interest Group for Power Engineering of the INNS recognized the need for bringing together leading researchers in the field of neurocomputing with experts from power utilities and manufacturing companies to assess the current state of affairs and to explore the directions of further research and practice. This book is based on The Summer Workshop on Neural Network Computing for the Electric Power Industry which brought together approximately forty specialists with backgrounds in power engineering, system operation and planning, neural network theory and AI systems design. An informal and highly inspiring atmosphere of the workshop facilitated open discussion and exchange of expertise between the participants.

Download or read book Applications of Modern Heuristic Optimization Methods in Power and Energy Systems written by Kwang Y. Lee and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews state-of-the-art technologies in modern heuristic optimization techniques and presents case studies showing how they have been applied in complex power and energy systems problems Written by a team of international experts, this book describes the use of metaheuristic applications in the analysis and design of electric power systems. This includes a discussion of optimum energy and commitment of generation (nonrenewable & renewable) and load resources during day-to-day operations and control activities in regulated and competitive market structures, along with transmission and distribution systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems begins with an introduction and overview of applications in power and energy systems before moving on to planning and operation, control, and distribution. Further chapters cover the integration of renewable energy and the smart grid and electricity markets. The book finishes with final conclusions drawn by the editors. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems: Explains the application of differential evolution in electric power systems' active power multi-objective optimal dispatch Includes studies of optimization and stability in load frequency control in modern power systems Describes optimal compliance of reactive power requirements in near-shore wind power plants Features contributions from noted experts in the field Ideal for power and energy systems designers, planners, operators, and consultants, Applications of Modern Heuristic Optimization Methods in Power and Energy Systems will also benefit engineers, software developers, researchers, academics, and students.

Download or read book Power Electronics and Instrumentation Engineering written by Vinu V Das and published by Springer Science & Business Media. This book was released on 2010-09-02 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the best papers of the International Conference on Advances in Power Electronics and Instrumentation Engineering, PEIE 2010, organized by the Association of Computer Electronics and Electrical Engineers (ACEEE), during September 7–9, 2010 in Kochi, Kerala, India. PEIE is an international conference integrating two major areas of electrical en- neering – power electronics and instrumentation. Thus this conference reflects a c- tinuing effort to increase the dissemination of recent research results among prof- sionals who work in the areas of power electronics, instrumentation and electrical engineering The program of this joint conference included several outstanding keynote lectures presented by internationally renowned distinguished researchers who are experts in the various PEIE areas. Their keynote speeches have contributed to heightening the ov- all quality of the program and significance of the theme of the conference. I hope that you will find this collection of the best PEIE 2010 papers an excellent source of inspiration as well as a helpful reference for research in the aforementioned areas. Organizing a conference like this one is not possible without the assistance and continuous support of many people and institutions. I thank Stefan Goeller, Janahanlal Stephen, R Vijay Kumar, and Nessy Thankachan for their constant support and gu- ance. I would like to express my gratitude to Springer’s LNCS-CCIS editorial team, especially Leonie Kunz, for producing such a wonderful proceedings book.

Download or read book Artificial Intelligence in Real Time Control 1992 written by M.G. Rodd and published by Elsevier. This book was released on 2014-06-28 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.

Download or read book Innovations in Applied Artificial Intelligence written by Bob Orchard and published by Springer. This book was released on 2004-04-22 with total page 1293 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Intelligent systems must perform in order to be in demand. ” Intelligent systems technology is being applied steadily in solving many day-to-day problems. Each year the list of real-world deployed applications that inconspicuously host the results of research in the area grows considerably. These applications are having a significant impact in industrial operations, in financial circles, in transportation, in education, in medicine, in consumer products, in games and elsewhere. A set of selected papers presented at the seventeenth in the series of conferences on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2004), sponsored by the International Society of Applied Intelligence, is offered in this manuscript. These papers highlight novel applications of the technology and show how new research could lead to new and innovative applications. We hope that you find these papers to be educational, useful in your own research, and stimulating. In addition, we have introduced some special sessions to emphasize a few areas of artificial intelligence (AI) that are either relatively new, have received considerable attention recently or perhaps have not yet been represented well. To this end, we have included special sessions on e-learning, bioinformatics, and human-robot interaction (HRI) to complement the usual offerings in areas such as data mining, machine learning, intelligent systems, neural networks, genetic algorithms, autonomous agents, natural language processing, intelligent user interfaces, evolutionary computing, fuzzy logic, computer vision and image processing, reasoning, heuristic search, security, Internet applications, constraint satisfaction problems, design, and expert systems.