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Power Grid Complexity - Shengwei Mei
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ISBN: 9783642162107

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`Power Grid Complexity` introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory and applies them to power systems. It studies the network characteristics of power systems, such as their small-world characteristics, structural vulnerability, decomposition and coordination strategy, simplification and equivalence methods, etc. In addition, this book establishes 4 blackout models based on SOC theory and the SOC of power systems is studied at both the macroscopic and microscopic levels. Lastly, it shows the application of complex system theory in power system planning and emergency management platforms. This book can serve as a useful reference for engineers and researchers working with power systems. Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor of Discrete Technology and Production Automation with the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands. Power Grid Complexity: `Power Grid Complexity` introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory and applies them to power systems. It studies the network characteristics of power systems, such as their small-world characteristics, structural vulnerability, decomposition and coordination strategy, simplification and equivalence methods, etc. In addition, this book establishes 4 blackout models based on SOC theory and the SOC of power systems is studied at both the macroscopic and microscopic levels. Lastly, it shows the application of complex system theory in power system planning and emergency management platforms. This book can serve as a useful reference for engineers and researchers working with power systems. Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor of Discrete Technology and Production Automation with the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands. Physik / Allgemeines, Einführung, Lexikon, Springer-Verlag GmbH

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ISBN: 9783642162107

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Power Grid Complexity" introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book. Power Grid Complexity" introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book also establishes four blackout models based on SOC theory through which the SOC of power systems is studied at both the macroscopic and microscopic levels. Additionally, applications of complex system theory in power system planning and emergency management platforms are also discussed in depth. This book can serve as a useful reference for engineers and researchers working with power systems. Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor at the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands. Books, Technology, Engineering and Agriculture~~Energy Technology & Engineering~~Electrical Engineering, Power Grid Complexity~~Book~~9783642162107~~Mei Shengwei, Xuemin Zhang, Cao Mingkun, , , , , , , , , ,, [PU: Springer, Berlin/Heidelberg/New York, NY]

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ISBN: 9783642162107

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Power Grid Complexity introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book also establishes four blackout models based on SOC theory through which the SOC of power systems is studied at both the macroscopic and microscopic levels. Additionally, applications of complex system theory in power system planning and emergency management platforms are also discussed in depth. This book can serve as a useful reference for engineers and researchers working with power systems.Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor at the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands. Shengwei Mei, Xuemin Zhang, Ming Cao, Books, Science and Nature, Power Grid Complexity Books>Science and Nature, Springer Berlin Heidelberg

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"Power Grid Complexity" introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book also establishes four blackout models based on SOC theory through which the SOC of power systems is studied at both the macroscopic and microscopic levels. Additionally, applications of complex system theory in power system planning and emergency management platforms are also discussed in depth. This book can serve as a useful reference for engineers and researchers working with power systems. Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor at the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands. Professions and Applied Sciences Professions and Applied Sciences eBook, Springer

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Power Grid Complexity Author :Ming Cao Shengwei Mei Xuemin Zhang 9783642162107 364216210X, [PU: Springer, Berlin/Heidelberg/New York, NY]

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Power Grid Complexity
Autor:

Shengwei Mei

Titel:

Power Grid Complexity

ISBN-Nummer:

364216210X

"Power Grid Complexity" introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book also establishes four blackout models based on SOC theory through which the SOC of power systems is studied at both the macroscopic and microscopic levels.  Additionally, applications of complex system theory in power system planning and emergency management platforms are also discussed in depth. This book can serve as a useful reference for engineers and researchers working with power systems. Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor at the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands.    

Detailangaben zum Buch - Power Grid Complexity


EAN (ISBN-13): 9783642162107
ISBN (ISBN-10): 364216210X
Gebundene Ausgabe
Erscheinungsjahr: 2011
Herausgeber: Springer-Verlag GmbH
455 Seiten
Gewicht: 0,829 kg
Sprache: Englisch

Buch in der Datenbank seit 21.07.2009 21:02:56
Buch zuletzt gefunden am 06.10.2016 11:36:43
ISBN/EAN: 364216210X

ISBN - alternative Schreibweisen:
3-642-16210-X, 978-3-642-16210-7

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