Applications Of Computational Intelligence To Power Systems


Applications Of Computational Intelligence To Power Systems
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Computational Intelligence Applications To Power Systems


Computational Intelligence Applications To Power Systems
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Author : Yong-Hua Song
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-11-30

Computational Intelligence Applications To Power Systems written by Yong-Hua Song and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-11-30 with Computers categories.


This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems. Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.



Applications Of Computational Intelligence To Power Systems


Applications Of Computational Intelligence To Power Systems
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Author : Vassilis S. Kodogiannis
language : en
Publisher:
Release Date : 2019

Applications Of Computational Intelligence To Power Systems written by Vassilis S. Kodogiannis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Engineering (General). Civil engineering (General) categories.


Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.



Applications Of Computational Intelligence To Power Systems


Applications Of Computational Intelligence To Power Systems
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Author : Vassilis S. Kodogiannis
language : en
Publisher: MDPI
Release Date : 2019-11-08

Applications Of Computational Intelligence To Power Systems written by Vassilis S. Kodogiannis and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-08 with Technology & Engineering categories.


Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.



Wind Power Systems


Wind Power Systems
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Author : Lingfeng Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-15

Wind Power Systems written by Lingfeng Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-15 with Technology & Engineering categories.


Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution. Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods, the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines.



Artificial Intelligence Techniques In Power Systems


Artificial Intelligence Techniques In Power Systems
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Author : Kevin Warwick
language : en
Publisher: IET
Release Date : 1997

Artificial Intelligence Techniques In Power Systems written by Kevin Warwick and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


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.



Artificial Intelligence Applications In Electrical Transmission And Distribution Systems Protection


Artificial Intelligence Applications In Electrical Transmission And Distribution Systems Protection
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Author : Almoataz Y. Abdelaziz
language : en
Publisher: CRC Press
Release Date : 2021-10-22

Artificial Intelligence Applications In Electrical Transmission And Distribution Systems Protection written by Almoataz Y. Abdelaziz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Computers categories.


Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applications This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.



Computational Intelligence Applications In Smart Grids


Computational Intelligence Applications In Smart Grids
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Author : Ahmed F Zobaa
language : en
Publisher: World Scientific
Release Date : 2014-12-23

Computational Intelligence Applications In Smart Grids written by Ahmed F Zobaa and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-23 with Computers categories.


This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response). In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility. Contents: Wide-Area Monitoring, Protection and Control Needs, Applications, and Benefits (Vahid Madani, Damir Novosel and Roger King)A MINLP Approach for Network Reconfiguration and Dispatch in Distribution Systems (Sergio Bruno and Massimo La Scala)Multi-Objective Optimization Methods for Solving the Economic Emission Dispatch Problem (Balusu Srinivasa Rao and Kanchapogu Vaisakh)Voltage Security Assessment and Optimal Load Shedding Using the CBR Approach (Narayan Prasad Patidar)A Novel State Estimation Paradigm Based on Artificial Dynamic Models (Francesco Torelli and Alfredo Vaccaro)Improving Voltage Regulation in Smart Grids through Adaptive Fuzzy Agents (Giovanni Acampora and Autilia Vitiello)Smart Metering (Daniele Gallo, Carmine Landi, Marco Landi and Mario Luiso) Readership: Graduate students and researchers interested in smart grids and advanced power networks. Key Features:This book will address many relevant topics ranging from methods for balancing resources to various control and security aspects. It not only focuses on technological breakthroughs and roadmaps in implementing the technology, but also presents the much-needed sharing of best practicesIt will integrate scientific contributions developed by highly qualified international experts very active in the fields of power systems management and computational intelligenceIt will present and discuss various case studies aimed at assessing the benefits deriving from the application of the proposed methodologies on real power systemsKeywords:Smart Grids;Power Systems;Renewable Power Generation;Computational Intelligence



Applied Mathematics For Restructured Electric Power Systems


Applied Mathematics For Restructured Electric Power Systems
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Author : Joe H. Chow
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-03

Applied Mathematics For Restructured Electric Power Systems written by Joe H. Chow and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-03 with Technology & Engineering categories.


Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.



Computational Intelligence In Power Engineering


Computational Intelligence In Power Engineering
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2010-09-08

Computational Intelligence In Power Engineering written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-08 with Technology & Engineering categories.


Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.



Artificial Intelligence In Power System Optimization


Artificial Intelligence In Power System Optimization
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Author : Weerakorn Ongsakul
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Artificial Intelligence In Power System Optimization written by Weerakorn Ongsakul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.


With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also useful for those who are interested in using artificial intelligence in power system optimization.