Monitoring And Control Of Electrical Power Systems Using Machine Learning Techniques

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Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Author : Emilio Barocio Espejo
Publisher : Elsevier
ISBN 13 : 0323984045
Total Pages : 356 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Monitoring and Control of Electrical Power Systems using Machine Learning Techniques by : Emilio Barocio Espejo

Download or read book Monitoring and Control of Electrical Power Systems using Machine Learning Techniques written by Emilio Barocio Espejo and published by Elsevier. This book was released on 2023-01-11 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

Author : Morteza Nazari-Heris
Publisher : Springer Nature
ISBN 13 : 3030776964
Total Pages : 391 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Application of Machine Learning and Deep Learning Methods to Power System Problems by : Morteza Nazari-Heris

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.

Artificial Intelligence Techniques in Power Systems

Author : Kevin Warwick
Publisher : IET
ISBN 13 : 9780852968970
Total Pages : 324 pages
Book Rating : 4.9/5 (689 download)

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Book Synopsis Artificial Intelligence Techniques in Power Systems by : Kevin Warwick

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.

Artificial Intelligence Techniques in Power Systems Operations and Analysis

Author : Nagendra Singh
Publisher : CRC Press
ISBN 13 : 1000921786
Total Pages : 235 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Artificial Intelligence Techniques in Power Systems Operations and Analysis by : Nagendra Singh

Download or read book Artificial Intelligence Techniques in Power Systems Operations and Analysis written by Nagendra Singh and published by CRC Press. This book was released on 2023-08-16 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

On power system automation:

Author : Christoph Brosinsky
Publisher : BoD – Books on Demand
ISBN 13 : 3863602668
Total Pages : 230 pages
Book Rating : 4.8/5 (636 download)

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Book Synopsis On power system automation: by : Christoph Brosinsky

Download or read book On power system automation: written by Christoph Brosinsky and published by BoD – Books on Demand. This book was released on 2023-01-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Power System Monitoring and Control

Author : Hassan Bevrani
Publisher : John Wiley & Sons
ISBN 13 : 1118450698
Total Pages : 288 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Power System Monitoring and Control by : Hassan Bevrani

Download or read book Power System Monitoring and Control written by Hassan Bevrani and published by John Wiley & Sons. This book was released on 2014-06-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: POWER SYSTEM MONITORING AND CONTROL An invaluable resource for addressing the myriad critical technical engineering considerations in modern electric power system design and operation Power System Monitoring and Control (PSMC) is becoming increasingly significant in the design, planning, and operation of modern electric power systems. In response to the existing challenge of integrating advanced metering, computation, communication, and control into appropriate levels of PSMC, Power System Monitoring and Control presents a comprehensive overview of the basic principles and key technologies for the monitoring, protection, and control of contemporary wide-area power systems. A variety of topical issues are addressed, including renewable energy sources, smart grids, wide area stabilizing, coordinated voltage regulation and angle oscillation damping—as well as the advantages of phasor measurement units (PMUs) and global positioning system (GPS) time signal. Analysis and synthesis examples, along with case studies, add depth and clarity to all topics. Provides an up-to-date and comprehensive reference for researchers and engineers working on wide-area PSMC Links fundamental concepts of PSMC, advanced metering and control theory/techniques, and practical engineering considerations Covers PSMC problem understanding, design, practical aspects, and topics such as smart grid and coordinated angle oscillation damping and voltage regulation Incorporates the authors’ experiences teaching and researching in international locales including Japan, Singapore, Malaysia, and Australia Power System Monitoring and Control is ideally suited for a graduate course on this topic. It is also a practical reference for researchers and professional engineers working in power system monitoring, dynamic stability and control.

Power System Monitoring and Control

Author : Hassan Bevrani
Publisher : John Wiley & Sons
ISBN 13 : 1118852478
Total Pages : 288 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Power System Monitoring and Control by : Hassan Bevrani

Download or read book Power System Monitoring and Control written by Hassan Bevrani and published by John Wiley & Sons. This book was released on 2014-05-19 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: POWER SYSTEM MONITORING AND CONTROL An invaluable resource for addressing the myriad critical technical engineering considerations in modern electric power system design and operation Power System Monitoring and Control (PSMC) is becoming increasingly significant in the design, planning, and operation of modern electric power systems. In response to the existing challenge of integrating advanced metering, computation, communication, and control into appropriate levels of PSMC, Power System Monitoring and Control presents a comprehensive overview of the basic principles and key technologies for the monitoring, protection, and control of contemporary wide-area power systems. A variety of topical issues are addressed, including renewable energy sources, smart grids, wide area stabilizing, coordinated voltage regulation and angle oscillation damping—as well as the advantages of phasor measurement units (PMUs) and global positioning system (GPS) time signal. Analysis and synthesis examples, along with case studies, add depth and clarity to all topics. Provides an up-to-date and comprehensive reference for researchers and engineers working on wide-area PSMC Links fundamental concepts of PSMC, advanced metering and control theory/techniques, and practical engineering considerations Covers PSMC problem understanding, design, practical aspects, and topics such as smart grid and coordinated angle oscillation damping and voltage regulation Incorporates the authors’ experiences teaching and researching in international locales including Japan, Singapore, Malaysia, and Australia Power System Monitoring and Control is ideally suited for a graduate course on this topic. It is also a practical reference for researchers and professional engineers working in power system monitoring, dynamic stability and control.

Big Data Analytics in Future Power Systems

Author : Ahmed F. Zobaa
Publisher : CRC Press
ISBN 13 : 1351601288
Total Pages : 243 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Big Data Analytics in Future Power Systems by : Ahmed F. Zobaa

Download or read book Big Data Analytics in Future Power Systems written by Ahmed F. Zobaa and published by CRC Press. This book was released on 2018-08-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.

Machine Learning for Solar Array Monitoring, Optimization, and Control

Author : Sunil Rao
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681739089
Total Pages : 93 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Machine Learning for Solar Array Monitoring, Optimization, and Control by : Sunil Rao

Download or read book Machine Learning for Solar Array Monitoring, Optimization, and Control written by Sunil Rao and published by Morgan & Claypool Publishers. This book was released on 2020-08-31 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.

Machine Learning and Its Applications

Author : Georgios Paliouras
Publisher : Springer
ISBN 13 : 3540446737
Total Pages : 324 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Machine Learning and Its Applications by : Georgios Paliouras

Download or read book Machine Learning and Its Applications written by Georgios Paliouras and published by Springer. This book was released on 2003-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent knowledge based systems in electrical power engineering

Author : J.R. McDonald
Publisher : Springer Science & Business Media
ISBN 13 : 1461563879
Total Pages : 233 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Intelligent knowledge based systems in electrical power engineering by : J.R. McDonald

Download or read book Intelligent knowledge based systems in electrical power engineering written by J.R. McDonald and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.

Emerging Techniques in Power System Analysis

Author : Zhaoyang Dong
Publisher : Springer Science & Business Media
ISBN 13 : 3642042821
Total Pages : 209 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Emerging Techniques in Power System Analysis by : Zhaoyang Dong

Download or read book Emerging Techniques in Power System Analysis written by Zhaoyang Dong and published by Springer Science & Business Media. This book was released on 2010-06-01 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Emerging Techniques in Power System Analysis" identifies the new challenges facing the power industry following the deregulation. The book presents emerging techniques including data mining, grid computing, probabilistic methods, phasor measurement unit (PMU) and how to apply those techniques to solving the technical challenges. The book is intended for engineers and managers in the power industry, as well as power engineering researchers and graduate students. Zhaoyang Dong is an associate professor at the Department of Electrical Engineering, The Hong Kong Polytechnic University, China. Pei Zhang is program manager at the Electric Power Research Institute (EPRI), USA.

Automated Secure Computing for Next-Generation Systems

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
ISBN 13 : 1394213921
Total Pages : 522 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Automated Secure Computing for Next-Generation Systems by : Amit Kumar Tyagi

Download or read book Automated Secure Computing for Next-Generation Systems written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2023-11-16 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTOMATED SECURE COMPUTING FOR NEXT-GENERATION SYSTEMS This book provides cutting-edge chapters on machine-empowered solutions for next-generation systems for today’s society. Security is always a primary concern for each application and sector. In the last decade, many techniques and frameworks have been suggested to improve security (data, information, and network). Due to rapid improvements in industry automation, however, systems need to be secured more quickly and efficiently. It is important to explore the best ways to incorporate the suggested solutions to improve their accuracy while reducing their learning cost. During implementation, the most difficult challenge is determining how to exploit AI and ML algorithms for improved safe service computation while maintaining the user’s privacy. The robustness of AI and deep learning, as well as the reliability and privacy of data, is an important part of modern computing. It is essential to determine the security issues of using AI to protect systems or ML-based automated intelligent systems. To enforce them in reality, privacy would have to be maintained throughout the implementation process. This book presents groundbreaking applications related to artificial intelligence and machine learning for more stable and privacy-focused computing. By reflecting on the role of machine learning in information, cyber, and data security, Automated Secure Computing for Next-Generation Systems outlines recent developments in the security domain with artificial intelligence, machine learning, and privacy-preserving methods and strategies. To make computation more secure and confidential, the book provides ways to experiment, conceptualize, and theorize about issues that include AI and machine learning for improved security and preserve privacy in next-generation-based automated and intelligent systems. Hence, this book provides a detailed description of the role of AI, ML, etc., in automated and intelligent systems used for solving critical issues in various sectors of modern society. Audience Researchers in information technology, robotics, security, privacy preservation, and data mining. The book is also suitable for postgraduate and upper-level undergraduate students.

Recent Advances in Renewable Energy Automation and Energy Forecasting

Author : Sarat Kumar Sahoo
Publisher : Frontiers Media SA
ISBN 13 : 2832541674
Total Pages : 196 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Recent Advances in Renewable Energy Automation and Energy Forecasting by : Sarat Kumar Sahoo

Download or read book Recent Advances in Renewable Energy Automation and Energy Forecasting written by Sarat Kumar Sahoo and published by Frontiers Media SA. This book was released on 2023-12-08 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancement of sustainable energy is becoming an important concern for many countries. The traditional electrical grid supports only one-way interaction of power being delivered to the consumers. The emergence of improved sensors, actuators, and automation technologies has consequently improved the control, monitoring and communication techniques within the energy sector, including the Smart Grid system. With the support of the aforementioned modern technologies, the information flows in two-ways between the consumer and supplier. This data communication helps the supplier in overcoming challenges like integration of renewable technologies, management of energy demand, load automation and control. Renewable energy (RE) is intermittent in nature and therefore difficult to predict. The accurate RE forecasting is very essential to improve the power system operations. The forecasting models are based on complex function combinations that include seasonality, fluctuation, and dynamic nonlinearity. The advanced intelligent computing algorithms for forecasting should consider the proper parameter determinations for achieving optimization. For this we need, new generation research areas like Machine learning (ML), and Artificial Intelligence (AI) to enable the efficient integration of distributed and renewable generation at large scale and at all voltage levels. The modern research in the above areas will improve the efficiency, reliability and sustainability in the Smart grid.

Novel Advancements in Electrical Power Planning and Performance

Author : Shandilya, Smita
Publisher : IGI Global
ISBN 13 : 1522585532
Total Pages : 388 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Novel Advancements in Electrical Power Planning and Performance by : Shandilya, Smita

Download or read book Novel Advancements in Electrical Power Planning and Performance written by Shandilya, Smita and published by IGI Global. This book was released on 2019-08-02 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the demand for efficient energy sources continues to grow, electrical systems are becoming more essential to meet these increased needs. Electrical generation and transmission plans must remain cost-effective, reliable, and flexible for further future expansion. As these systems are being utilized more frequently, it becomes imperative to find ways of optimizing their overall function. Novel Advancements in Electrical Power Planning and Performance is an essential reference source that provides vital research on the specific challenges, issues, strategies, and solutions that are associated with electrical transmission and distribution systems and features emergent methods and research in the systemic and strategic planning of energy usage. Featuring research on topics such as probabilistic modeling, voltage stability, and radial distribution, this book is ideally designed for electrical engineers, practitioners, power plant managers, investors, industry professionals, researchers, academicians, and students seeking coverage on the methods and profitability of electrical expansion planning.

Machine Learning Assisted Digital Twin for Event Identification in Electrical Power System

Author : Xinya Song
Publisher : BoD – Books on Demand
ISBN 13 : 3863602676
Total Pages : 202 pages
Book Rating : 4.8/5 (636 download)

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Book Synopsis Machine Learning Assisted Digital Twin for Event Identification in Electrical Power System by : Xinya Song

Download or read book Machine Learning Assisted Digital Twin for Event Identification in Electrical Power System written by Xinya Song and published by BoD – Books on Demand. This book was released on 2023 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Application in Power Systems

Author : Reza Arghandeh
Publisher : Elsevier
ISBN 13 : 0128119691
Total Pages : 480 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data Application in Power Systems by : Reza Arghandeh

Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2017-11-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data