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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants

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Power Grid Complexity (Hardcover, Edition.) Loot Price: R4,610
Discovery Miles 46 100
Power Grid Complexity (Hardcover, Edition.): Mei Shengwei, Xuemin Zhang, Cao Mingkun

Power Grid Complexity (Hardcover, Edition.)

Mei Shengwei, Xuemin Zhang, Cao Mingkun

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Loot Price R4,610 Discovery Miles 46 100 | Repayment Terms: R422 pm x 12*

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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.

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General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: August 2011
First published: 2011
Authors: Mei Shengwei • Xuemin Zhang • Cao Mingkun
Dimensions: 235 x 155 x 28mm (L x W x T)
Format: Hardcover
Pages: 455
Edition: Edition.
ISBN-13: 978-3-642-16210-7
Categories: Books > Science & Mathematics > Physics > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants
LSN: 3-642-16210-X
Barcode: 9783642162107

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