Automatic Learning Techniques In Power Systems

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Automatic Learning Techniques in Power Systems

Louis A. Wehenkel
Automatic Learning Techniques in Power Systems Book PDF

Author : Louis A. Wehenkel
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 48,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461554516

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Automatic Learning Techniques in Power Systems by Louis A. Wehenkel Pdf

Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology. Its applications to engineering problems, such as those encountered in electrical power systems, are therefore challenging, while extremely promising. More and more data have become available, collected from the field by systematic archiving, or generated through computer-based simulation. To handle this explosion of data, automatic learning can be used to provide systematic approaches, without which the increasing data amounts and computer power would be of little use. Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated. This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics (both classical and modern), and from artificial intelligence (both hard and soft computing). The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems. Automatic Learning Techniques in Power Systems is a useful reference source for professionals and researchers developing automatic learning systems in the electrical power field.

Application of Machine Learning and Deep Learning Methods to Power System Problems

Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi
Application of Machine Learning and Deep Learning Methods to Power System Problems Book PDF

Author : Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi
Publisher : Springer Nature
Page : 391 pages
File Size : 51,6 Mb
Release : 2021-11-21
Category : Technology & Engineering
ISBN : 9783030776961

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Application of Machine Learning and Deep Learning Methods to Power System Problems by Morteza Nazari-Heris,Somayeh Asadi,Behnam Mohammadi-Ivatloo,Moloud Abdar,Houtan Jebelli,Milad Sadat-Mohammadi Pdf

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.

Artificial Intelligence Techniques in Power Systems Operations and Analysis

Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta
Artificial Intelligence Techniques in Power Systems Operations and Analysis Book PDF

Author : Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta
Publisher : CRC Press
Page : 207 pages
File Size : 44,8 Mb
Release : 2023-08-16
Category : Computers
ISBN : 9781000921793

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Artificial Intelligence Techniques in Power Systems Operations and Analysis by Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta Pdf

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Emilio Barocio Espejo,Felix Rafael Segundo Sevilla,Petr Korba
Monitoring and Control of Electrical Power Systems using Machine Learning Techniques Book PDF

Author : Emilio Barocio Espejo,Felix Rafael Segundo Sevilla,Petr Korba
Publisher : Elsevier
Page : 356 pages
File Size : 43,9 Mb
Release : 2023-01-11
Category : Technology & Engineering
ISBN : 9780323984041

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Monitoring and Control of Electrical Power Systems using Machine Learning Techniques by Emilio Barocio Espejo,Felix Rafael Segundo Sevilla,Petr Korba Pdf

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms. Covers advanced applications and solutions for monitoring and control of electrical power systems using machine learning techniques for transmission and distribution systems Provides deep insight into power quality disturbance detection and classification through machine learning, deep learning, and spatio-temporal algorithms Includes substantial online supplementary components focusing on dataset generation for machine learning training processes and open-source microgrid model simulators on GitHub

Computational Intelligence in Power Engineering

Ajith Abraham,Swagatam Das
Computational Intelligence in Power Engineering Book PDF

Author : Ajith Abraham,Swagatam Das
Publisher : Springer
Page : 384 pages
File Size : 46,8 Mb
Release : 2010-09-08
Category : Technology & Engineering
ISBN : 9783642140136

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Computational Intelligence in Power Engineering by Ajith Abraham,Swagatam Das Pdf

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.

Deep Learning for Power System Applications

Fangxing Li,Yan Du
Deep Learning for Power System Applications Book PDF

Author : Fangxing Li,Yan Du
Publisher : Springer Nature
Page : 111 pages
File Size : 48,5 Mb
Release : 2023-12-12
Category : Technology & Engineering
ISBN : 9783031453571

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Deep Learning for Power System Applications by Fangxing Li,Yan Du Pdf

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control. Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers. Provides a history of AI in power grid operation and planning; Introduces deep learning algorithms and applications in power systems; Includes several representative case studies.

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 53,7 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

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.

Machine Learning and Its Applications

Georgios Paliouras,Vangelis Karkaletsis,Constantine D. Spyropoulos
Machine Learning and Its Applications Book PDF

Author : Georgios Paliouras,Vangelis Karkaletsis,Constantine D. Spyropoulos
Publisher : Springer
Page : 324 pages
File Size : 50,9 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540446736

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Machine Learning and Its Applications by Georgios Paliouras,Vangelis Karkaletsis,Constantine D. Spyropoulos Pdf

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

Artificial Intelligence Applications and Innovations

Ilias Maglogiannis,Kostas Karpouzis
Artificial Intelligence Applications and Innovations Book PDF

Author : Ilias Maglogiannis,Kostas Karpouzis
Publisher : Springer
Page : 761 pages
File Size : 45,5 Mb
Release : 2006-08-29
Category : Computers
ISBN : 9780387342245

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Artificial Intelligence Applications and Innovations by Ilias Maglogiannis,Kostas Karpouzis Pdf

Artificial Intelligence applications build on a rich and proven theoretical background to provide solutions to a wide range of real life problems. The ever expanding abundance of information and computing power enables researchers and users to tackle higly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information based on preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The purpose of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers, and practitioners interested in the technical advances and business and industrial applications of intelligent systems. AIAI 2006 is focused on providing insights on how AI can be implemented in real world applications.

Advanced Solutions in Power Systems

Mircea Eremia,Chen-Ching Liu,Abdel-Aty Edris
Advanced Solutions in Power Systems Book PDF

Author : Mircea Eremia,Chen-Ching Liu,Abdel-Aty Edris
Publisher : John Wiley & Sons
Page : 1072 pages
File Size : 54,7 Mb
Release : 2016-08-31
Category : Science
ISBN : 9781119175339

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Advanced Solutions in Power Systems by Mircea Eremia,Chen-Ching Liu,Abdel-Aty Edris Pdf

Provides insight on both classical means and new trends in the application of power electronic and artificial intelligence techniques in power system operation and control This book presents advanced solutions for power system controllability improvement, transmission capability enhancement and operation planning. The book is organized into three parts. The first part describes the CSC-HVDC and VSC-HVDC technologies, the second part presents the FACTS devices, and the third part refers to the artificial intelligence techniques. All technologies and tools approached in this book are essential for power system development to comply with the smart grid requirements. Discusses detailed operating principles and diagrams, theory of modeling, control strategies and physical installations around the world of HVDC and FACTS systems Covers a wide range of Artificial Intelligence techniques that are successfully applied for many power system problems, from planning and monitoring to operation and control Each chapter is carefully edited, with drawings and illustrations that helps the reader to easily understand the principles of operation or application Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence is written for graduate students, researchers in transmission and distribution networks, and power system operation. This book also serves as a reference for professional software developers and practicing engineers.

Artificial Intelligence Techniques in Power Systems

Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers
Artificial Intelligence Techniques in Power Systems Book PDF

Author : Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers
Publisher : IET
Page : 324 pages
File Size : 54,7 Mb
Release : 1997
Category : Computers
ISBN : 0852968973

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Artificial Intelligence Techniques in Power Systems by Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers Pdf

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.

Autonomous Systems and Intelligent Agents in Power System Control and Operation

Christian Rehtanz
Autonomous Systems and Intelligent Agents in Power System Control and Operation Book PDF

Author : Christian Rehtanz
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 47,5 Mb
Release : 2003-07-15
Category : Computers
ISBN : 3540402020

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Autonomous Systems and Intelligent Agents in Power System Control and Operation by Christian Rehtanz Pdf

Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems. The focus of this book is to design a future control system architecture for electrical power systems, which copes with the changed requirements concerning complexity and flexibility and includes several applications for power systems. This book draws the whole circle from the theoretical and IT-concept of autonomous systems for power system control over the required knowledge-based methods and their capabilities to concrete applications within this field.

Computational Techniques for Voltage Stability Assessment and Control

Venkataramana Ajjarapu
Computational Techniques for Voltage Stability Assessment and Control Book PDF

Author : Venkataramana Ajjarapu
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 55,7 Mb
Release : 2007-05-27
Category : Technology & Engineering
ISBN : 9780387329352

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Computational Techniques for Voltage Stability Assessment and Control by Venkataramana Ajjarapu Pdf

This book provides comprehensive details on continuation power flow, and reviews concepts in bifurcation theory and continuation methods for assessing power system voltage stability. The author proposes a uniform framework that provides computational approaches for both short-term and long-term voltage stability phenomena. Readers can access the author’s web-based simulation tools, which are based on the advice in this book, to simulate tests of systems up to the size of 200 busses.

Computational Methods for Large Sparse Power Systems Analysis

S.A. Soman,S.A. Khaparde,Shubha Pandit
Computational Methods for Large Sparse Power Systems Analysis Book PDF

Author : S.A. Soman,S.A. Khaparde,Shubha Pandit
Publisher : Springer Science & Business Media
Page : 349 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461508236

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Computational Methods for Large Sparse Power Systems Analysis by S.A. Soman,S.A. Khaparde,Shubha Pandit Pdf

Computational methods in Power Systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Strategic decisions in sparsity exploitation and algorithm design influence large-scale simulation and high-speed computations. Selection of programming paradigm shapes the design, its modularity and reusability. This has a far reaching effect on software maintenance. Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach provides a unified object oriented (OO) treatment for power system analysis. Sparsity exploitation techniques in OO paradigm are emphasized to facilitate large scale and fast computing. Specific applications like large-scale load flow, short circuit analysis, state estimation and optimal power flow are discussed within this framework. A chapter on modeling and computational issues in power system dynamics is also included. Motivational examples and illustrations are included throughout the book. A library of C++ classes provided along with this book has classes for transmission lines, transformers, substation etc. A CD-ROM with C++ programs is also included. It contains load flow, short circuit analysis and network topology processor applications. Power system data is provided and systems up to 150 buses can be studied. Other Special Features: This book is the first of its kind, covering power system applications designed with an OO perspective. Chapters on object orientation for modeling of power system computations, data structure, large sparse linear system solver, sparse QR decomposition in an OO framework are special features of this book.

On power system automation:

Christoph Brosinsky
On power system automation Book PDF

Author : Christoph Brosinsky
Publisher : BoD – Books on Demand
Page : 230 pages
File Size : 48,6 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9783863602666

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On power system automation: by Christoph Brosinsky Pdf

The ubiquitous digital transformation also influences power system operation. Emerging real-time applications in information (IT) and operational technology (OT) provide new opportunities to address the increasingly demanding power system operation imposed by the progressing energy transition. This IT/OT convergence is epitomised by the novel Digital Twin (DT) concept. By integrating sensor data into analytical models and aligning the model states with the observed system, a power system DT can be created. As a result, a validated high-fidelity model is derived, which can be applied within the next generation of energy management systems (EMS) to support power system operation. By providing a consistent and maintainable data model, the modular DT-centric EMS proposed in this work addresses several key requirements of modern EMS architectures. It increases the situation awareness in the control room, enables the implementation of model maintenance routines, and facilitates automation approaches, while raising the confidence into operational decisions deduced from the validated model. This gain in trust contributes to the digital transformation and enables a higher degree of power system automation. By considering operational planning and power system operation processes, a direct link to practice is ensured. The feasibility of the concept is examined by numerical case studies.