Comparing Parameter Estimation Techniques for an Electrical Power Transformer Oil Temperature Prediction Model
Author | : A. Terry Morris |
Publisher | : |
Total Pages | : 36 |
Release | : 1999 |
Genre | : Electric transformers |
ISBN | : |
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Author | : A. Terry Morris |
Publisher | : |
Total Pages | : 36 |
Release | : 1999 |
Genre | : Electric transformers |
ISBN | : |
Author | : National Aeronautics and Space Adm Nasa |
Publisher | : Independently Published |
Total Pages | : 36 |
Release | : 2018-09-14 |
Genre | : Science |
ISBN | : 9781723713231 |
This paper examines various sources of error in MIT's improved top oil temperature rise over ambient temperature model and estimation process. The sources of error are the current parameter estimation technique, quantization noise, and post-processing of the transformer data. Results from this paper will show that an output error parameter estimation technique should be selected to replace the current least squares estimation technique. The output error technique obtained accurate predictions of transformer behavior, revealed the best error covariance, obtained consistent parameter estimates, and provided for valid and sensible parameters. This paper will also show that the output error technique should be used to minimize errors attributed to post-processing (decimation) of the transformer data. Models used in this paper are validated using data from a large transformer in service.Morris, A. TerryLangley Research CenterPARAMETER IDENTIFICATION; NOISE (SOUND); TRANSFORMERS; AMBIENT TEMPERATURE; MEASUREMENT; MATHEMATICAL MODELS; PARAMETERIZATION; ESTIMATING; ERROR ANALYSIS
Author | : Reza Arghandeh |
Publisher | : Elsevier |
Total Pages | : 450 |
Release | : 2024-07-01 |
Genre | : Technology & Engineering |
ISBN | : 0443219516 |
Big Data Application in Power Systems, Second Edition presents a thorough update of the previous volume, providing readers with step-by-step guidance in big data analytics utilization for power system diagnostics, operation, and control. Bringing back a team of global experts and drawing on fresh, emerging perspectives, this book provides cutting-edge advice for meeting today's challenges in this rapidly accelerating area of power engineering. Divided into three parts, this book begins by breaking down the big picture for electric utilities, before zooming in to examine theoretical problems and solutions in detail. Finally, the third section provides case studies and applications, demonstrating solution troubleshooting and design from a variety of perspectives and for a range of technologies. Readers will develop new strategies and techniques for leveraging data towards real-world outcomes. Including five brand new chapters on emerging technological solutions, Big Data Application in Power Systems, Second Edition remains an essential resource for the reader aiming to utilize the potential of big data in the power systems of the future. - Provides a total refresh to include the most up-to-date research, developments, and challenges - Focuses on practical techniques, including rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches for processing high dimensional, heterogeneous, and spatiotemporal data - Engages with cross-disciplinary lessons, drawing on the impact of intersectional technology including statistics, computer science, and bioinformatics - Includes five brand new chapters on hot topics, ranging from uncertainty decision-making to features, selection methods, and the opportunities provided by social network data
Author | : Jianwei Yang |
Publisher | : Springer Nature |
Total Pages | : 709 |
Release | : 2024-01-08 |
Genre | : Technology & Engineering |
ISBN | : 9819993156 |
This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchers and graduate students working on rail transportation and electrical and information technologies.
Author | : Sivaji Chakravorti |
Publisher | : Springer Science & Business Media |
Total Pages | : 289 |
Release | : 2013-10-21 |
Genre | : Business & Economics |
ISBN | : 1447155505 |
Recent Trends in the Condition Monitoring of Transformers reflects the current interest in replacing traditional techniques used in power transformer condition monitoring with non-invasive measures such as polarization/depolarization current measurement, recovery voltage measurement, frequency domain spectroscopy and frequency response analysis. The book stresses the importance of scrutinizing the condition of transformer insulation which may fail under present day conditions of intensive use with the resulting degradation of dielectric properties causing functional failure of the transformer. The text shows the reader how to overcome the key challenges facing today’s maintenance policies, namely: The selection of appropriate techniques for dealing with each type of failure process accounting for the needs of plant owners, plant users and wider society; and Cost-efficiency and durability of effect. Many of the failure-management methods presented rely on the fact that most failures give warning when they are imminent. These potential failures give rise to identifiable physical conditions and the novel approaches described detect them so that action can be taken to avoid degeneration into full-blown functional failure. This “on-condition” maintenance means that equipment can be left in service as long as a specified set of performance standards continue to be met, avoiding the costly downtime imposed by routine and perhaps unnecessary maintenance but without risking equally expensive failure. Recent Trends in the Condition Monitoring of Transformers will be of considerable interest to both academic researchers in power systems and to engineers working in the power generation and distribution industry showing how new and more efficient methods of fault diagnosis and condition management can increase transformer efficiency and cut costs.
Author | : Institution of Electrical Engineers |
Publisher | : |
Total Pages | : 34 |
Release | : 1999 |
Genre | : Electric engineering |
ISBN | : |
Indexes IEE proceedings parts A through I
Author | : Mohammad Shorif Uddin |
Publisher | : Springer Nature |
Total Pages | : 463 |
Release | : 2020-12-01 |
Genre | : Technology & Engineering |
ISBN | : 9811588201 |
This book is a collection of best selected high-quality research papers presented at the International Conference on Advances in Energy Management (ICAEM 2019) organized by the Department of Electrical Engineering, Jodhpur Institute of Engineering & Technology (JIET), Jodhpur, India, during 20–21 December 2019. The book discusses intelligent energy management technologies which are cost effective compared to the high cost of fossil fuels. This book also explains why these systems have beneficial impact on environmental, economic and political issues of the world. The book is immensely useful for research scholars, academicians, R&D institutions, practicing engineers and managers from industry.
Author | : Issouf Fofana, Ph.D. ing. Chairholder |
Publisher | : MDPI |
Total Pages | : 255 |
Release | : 2019-01-09 |
Genre | : Computers |
ISBN | : 3038974412 |
This book is a printed edition of the Special Issue "Power Transformer Diagnostics, Monitoring and Design Features" that was published in Energies