Reliability Modeling and Analysis of Smart Power Systems
(Sprache: Englisch)
The volume presents the research work in understanding, modeling and quantifying the risks associated with different ways of implementing smart grid technology in power systems in order to plan and operate a modern power system with an acceptable level of...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
106.99 €
53 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Reliability Modeling and Analysis of Smart Power Systems “
Klappentext zu „Reliability Modeling and Analysis of Smart Power Systems “
The volume presents the research work in understanding, modeling and quantifying the risks associated with different ways of implementing smart grid technology in power systems in order to plan and operate a modern power system with an acceptable level of reliability. Power systems throughout the world are undergoing significant changes creating new challenges to system planning and operation in order to provide reliable and efficient use of electrical energy. The appropriate use of smart grid technology is an important drive in mitigating these problems and requires considerable research activities, some of which (by researchers from academia and industry) are included in this volume: the reliability appraisal of smart grid technologies and their applications, micro-grids, assessment of plug-in hybrid vehicles and the system effects, smart system protection and reliability evaluation, demand response and smart maintenance of power system equipment.
Inhaltsverzeichnis zu „Reliability Modeling and Analysis of Smart Power Systems “
Preface.- Chapter 1. Reliability-Centric Studies in Smart Grids: Adequacy and Vulnerability Considerations.- Chapter 2. Security of Supply in Active Distribution Networks with PHEV Based Strategic Micro-Grids.- Chapter 3. Operational Characteristics of MicroGrids with Electric Vehicles.- Chapter 4. An Optimized Adaptive Protection Scheme for Distribution Systems Penetrated with Distributed Generators.- Chapter 5. Protection System Reliability Assessment Considering Smart Grid Technologies.- Chapter 6. Smart Charging of Plug-in Electric Vehicles under Driving Behavior Uncertainty.- Chapter 7. Multivariate Stochastic Modeling of Plug-in Electric Vehicles Demand Profile within Domestic Grid.- Chapter 8. Probabilistic Home Load Controlling Considering Plug-in Hybrid Electric Vehicle Uncertainties.- Chapter 9. A Load Management Perspective of the Smart Grid: Simple and effective tools to enhance reliability.- Chapter 10. Evaluating the Performance of Small Autonomous Power Systems using Reliability Worth Analysis.- Chapter 11. Condition Monitoring Benefit for Operation Support of Offshore Wind Turbines.- Chapter 12. Towards Reliability Centred Maintenance of Wind Turbines.- Chapter 13. Cable Segment Replacement Optimization.
Autoren-Porträt
Dr. Rajesh Karki is Associate Professor at the University of Saskatchewan, Canada. During 2005-2012, he chaired the Power Systems Research Group at the University of Saskatchewan. He has earlier worked for academic institutions and different industries in Nepal, and for GE Industrial Systems, Peterborough, ON, Canada. He has a B.E. degree in Electrical Engineering from the Regional Engineering College (renamed National Institute of Technology), Durgapur, West Bengal, India and Masters and PhD degrees in electrical power engineering from the University of Saskatchewan, Canada. He has served in various capacities in conferences, workshops and guest lectures in Canada and abroad and has published over 80 papers in reputable international journals and peer reviewed conferences. Dr. Karki has completed several consulting projects on system planning and reliability for Canadian electric utilities. He is a senior member of the IEEE and Professional Engineer in the Province of Saskatchewan, Canada. His research interests include power system reliability and planning and reliability modeling and analysis of renewable energy systems.Dr. Roy Billinton is Professor Emeritus in the Department of Electrical Engineering, University of Saskatchewan, Saskatoon, Canada. He obtained his Bachelor's and Master's degrees from the University of Manitoba, Winnipeg, MB, Canada and Ph.D. and D.Sc. degrees in electrical engineering from the University of Saskatchewan, Saskatoon, Canada. He was with the System Planning and Production Divisions, Manitoba Hydro. In 1964, he joined the University of Saskatchewan, where he served as the Head of the Electrical Engineering Department, Associate Dean for Graduate Studies, Research and Extension and the Acting Dean of Engineering. He has authored or co-authored eight books and more than 940 papers on power system reliability evaluation, economic system operation and power system analysis. Dr. Billinton is Fellow of the IEEE,Engineering
... mehr
Institute of Canada, Canadian Academy of Engineering, Royal Society of Canada. He is also Foreign Associate of the United States National Academy of Engineering and Professional Engineer in the Province of Saskatchewan, Canada. In 2010, the IEEE-PES honoured Dr. Billinton by initiating the Roy Billinton Power System Reliability Award.
Ajit Kumar Verma is Professor in Engineering, Stord/Haugesund University College, Haugesund, Norway. He is also Guest Professor at Lulea University of Technology, Sweden. He was earlier Professor, Department of Electrical Engineering at IIT Bombay, Mumbai, India. Prof. Verma is Chairman of recently constituted Special Interest Group on System Assurance Engineering and Management of Berkeley Initiative in Soft Computing, UC Berkeley. He is author of books titled Fuzzy Reliability Engineering-Concepts and Applications (Narosa), Reliability and Safety Engineering (Springer), Dependability of Networked Computer Based Systems (Springer) and Optimal Maintenance of Large Engineering System (Narosa) and has over 225 publications in various journals (over 100 papers) and conferences. He has served as Editor-in-Chief of the OPSEARCH as well as Founder Editor-in-Chief of IJSAEM, both journals published by Springer and the Editor-in-Chief of Journal of Life Cycle Reliability and Safety Engineering. He has been a guest editor of a dozen issues of international journals including IEEE Transactions on Reliability.
Ajit Kumar Verma is Professor in Engineering, Stord/Haugesund University College, Haugesund, Norway. He is also Guest Professor at Lulea University of Technology, Sweden. He was earlier Professor, Department of Electrical Engineering at IIT Bombay, Mumbai, India. Prof. Verma is Chairman of recently constituted Special Interest Group on System Assurance Engineering and Management of Berkeley Initiative in Soft Computing, UC Berkeley. He is author of books titled Fuzzy Reliability Engineering-Concepts and Applications (Narosa), Reliability and Safety Engineering (Springer), Dependability of Networked Computer Based Systems (Springer) and Optimal Maintenance of Large Engineering System (Narosa) and has over 225 publications in various journals (over 100 papers) and conferences. He has served as Editor-in-Chief of the OPSEARCH as well as Founder Editor-in-Chief of IJSAEM, both journals published by Springer and the Editor-in-Chief of Journal of Life Cycle Reliability and Safety Engineering. He has been a guest editor of a dozen issues of international journals including IEEE Transactions on Reliability.
... weniger
Bibliographische Angaben
- 2016, Softcover reprint of the original 1st ed. 2014, XIV, 202 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Rajesh Karki, Roy Billinton, Ajit Kumar Verma
- Verlag: Springer, Berlin
- ISBN-10: 8132229088
- ISBN-13: 9788132229087
Sprache:
Englisch
Kommentar zu "Reliability Modeling and Analysis of Smart Power Systems"
0 Gebrauchte Artikel zu „Reliability Modeling and Analysis of Smart Power Systems“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Reliability Modeling and Analysis of Smart Power Systems".
Kommentar verfassen