Advances in Electric Power and Energy (eBook)
512 Seiten
Wiley (Verlag)
978-1-119-48044-0 (ISBN)
With contributions from a noted panel of experts on the topic, Advances in Electric Power and Energy: Static State Estimation addresses the wide-range of issues concerning static state estimation as a main energy control function and major tool for evaluating prevailing operating conditions in electric power systems worldwide.
This book is an essential guide for system operators who must be fully aware of potential threats to the integrity of their own and neighboring systems. The contributors provide an overview of the topic and review common threats such as cascading black-outs to model-based anomaly detection to the operation of micro-grids and much more. The book also includes a discussion of an effective mathematical programming approach to state estimation in power systems. Advances in Electric Power and Energy reviews the most recent developments in the field and:
- Offers an introduction to the topic to help non-experts (and professionals) get up-to-date on static state estimation
- Covers the essential information needed to understand power system state estimation written by experts on the subject
- Discusses a mathematical programming approach
Written for electric power system planners, operators, consultants, power system software developers, and academics, Advances in Electric Power and Energy is the authoritative guide to the topic with contributions from experts who review the most recent developments.
Mohamed E. El-Hawary, PHD, is Professor of Electrical and Computer Engineering at Dalhousie University. He is also the Editor for the IEEE Press Power Engineering Series. He has published multiple books with Wiley-IEEE Press, including Principles of Electric Machines with Power Electronic Applications, Second Edition, and Electrical Power Systems: Design and Analysis.
Chapter 1: Introduction
M. E. El-Hawary
Chapter 2 : State estimation in power systems based on a mathematical programming approach
Eduardo Caro and Araceli Hern´andez
Chapter 3: System Stress and Cascading Blackouts
Hyde M. Merrill and James W. Felte
Chapter 4 : Model-based anomaly detection for power system state estimation
Aditya Ashok, Manimaran Govindarasu, and Venkataramana Ajjarapu
Chapter 5 : Protection, Control and Operation of Microgrids
A P Sakis Meliopoulos, Yu Liu Sungyun Choi, and George J Cokkinides
Chapter 6: Distributed Robust Power System State Estimation
Vassilis Kekatos; H. Zhu , G. Wang, and Georgios B. Giannakis
Chapter 7: Robust Wide-Area Fault Visibility and Structural Observability in Power Systems with Synchronized Measurement Units
Mert Korkali
Chapter 8: A Hybrid Robust Power System State Estimator with Unknown Measurement Noise
Junbo Zhao; Lamine Mili; and Massimo La Scala
Chapter 9: Least-Trimmed-Absolute-Value State estimator
Ibrahim Omar Habiballah, and Yuanhai Xia
Chapter 10 : Probabilistic State Estimation in Distribution Networks
Bernd Brinkmann; and Michael Negnevisky
Chapter 11: Advanced distribution system state estimation in multi-area architectures
Marco Pau, Paolo Attilio Pegoraro, Ferdinanda Ponci, and Sara Sulis
Chapter 12: Hierarchical Multi-Area State Estimation
Ye Guo; Lang Tong; Wenchuan Wu; Hongbin Sun; Boming Zhang
Chapter 13: Parallel Domain-Decomposition-Based Distributed State Estimation for Large-Scale Power Systems
Hadis Karimipour; Venkata Dinavahi
Chapter 14: Dishonest Gauss Newton method based power system state estimation on a GPU
Md. Ashfaqur Rahman; and Ganesh Kumar Venayagamoorthy
Erscheint lt. Verlag | 11.12.2020 |
---|---|
Reihe/Serie | IEEE Press Series on Power Engineering |
Verlagsort | Hoboken |
Sprache | englisch |
Themenwelt | Naturwissenschaften ► Physik / Astronomie |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Energie • Energietechnik • Energy • Leistungselektronik • Power Electronics • Power Technology & Power Engineering |
ISBN-10 | 1-119-48044-2 / 1119480442 |
ISBN-13 | 978-1-119-48044-0 / 9781119480440 |
Haben Sie eine Frage zum Produkt? |
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