Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach
Language: English
Published by Elsevier Science, 2022
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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Condition: New
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Provides step-by-step modeling of power system networks (distribution and transmission) and faults in MATLAB/SIMULINK and real-time digital simulator (RTDS) platforms Presents feature extraction processes using advanced signal processing t.
Seller Inventory # 497310216
- Title
- Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach
- Author
- Md Shafiullah|M. A. Abido|A. H. Al-Mohammed
- Publisher
- Elsevier Science
- Publication year
- 2022
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323884296
- ISBN 13
- 9780323884297
This book illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from phasor measurement units. It presents the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques, in steps. The book also incorporates uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises.
- Provides step-by-step modeling of power system networks (distribution and transmission) and faults in MATLAB/SIMULINK and real-time digital simulator (RTDS) platforms
- Presents feature extraction processes using advanced signal processing techniques (discrete wavelet and Stockwell transforms) and an easy-to-understand optimal feature selection method
- Illustrates comprehensive results in the graphical and tabular formats that can be easily reproduced by beginners
- Highlights various utility practices for fault location in transmission networks, distribution systems, and underground cables.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. M. A. Abido received his B.Sc. and M.Sc. degrees in Electrical Engineering (EE) from Menoufiya University, Egypt, in 1985 and 1989, respectively, and Ph.D. from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 1997. He is currently serving at the EE Department of KFUPM as University Distinguished Professor. He’s also a Senior Researcher at K∙A∙CARE Energy Research & Innovation Center and Interdisciplinary Research Center for Renewable Energy and Power Systems, Dhahran, Saudi Arabia. His research interests are power system control and renewable energy resources integration. Dr. Abido is the recipient of KFUPM Excellence in Research Award, 2002, 2007, and 2012, KFUPM Best Project Award, 2007 and 2010, First Prize Paper Award of the IEEE Industry Applications Society, 2003, Abdel-Hamid Shoman Prize, 2005, Almarai Prize for Scientific Innovation 2017-2018, Saudi Arabia, 2018, and Khalifa Award for Higher Education 2017-2018, Abu Dhabi, UAE, 2018.
Dr. Ali H. Al-Mohammed received his B.Sc. degree (Honors with first class) in electrical engineering from King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia, in 1994 and the M.Sc. and Ph.D. degrees from the same university in 1999 and 2013, respectively. Dr. Al-Mohammed has been serving the Saudi Electricity Company (SEC) for more than 27 years in engineering, design, and management of various HV and EHV transmission projects, including substations, overhead transmission lines, underground cables, and smart grid projects. His research interests include power system planning, fault location, asset optimization, substation engineering, phasor measurement units (PMU) applications, and power system protection.
"About the title" may belong to another edition of this title.
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| Item | 26 to 60 business days | 26 to 60 business days |
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