000 03375nam a22004815i 4500
001 978-3-642-16211-4
003 DE-He213
005 20140220083748.0
007 cr nn 008mamaa
008 110913s2011 gw | s |||| 0|eng d
020 _a9783642162114
_9978-3-642-16211-4
024 7 _a10.1007/978-3-642-16211-4
_2doi
050 4 _aTK7881.15
072 7 _aTHRD
_2bicssc
072 7 _aTHRM
_2bicssc
072 7 _aTEC046000
_2bisacsh
082 0 4 _a621.317
_223
100 1 _aMei, Shengwei.
_eauthor.
245 1 0 _aPower Grid Complexity
_h[electronic resource] /
_cby Shengwei Mei, Xuemin Zhang, Ming Cao.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXVI, 455 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- SOC and Complex Networks -- Foundation of SOC in Power Systems -- Power Grid Growth and Evolution -- Complex Small-World Power Grids -- Decomposition and Coordination of Static Power Grids -- Vulnerability Assessment of Static Power Grids -- Simplification, Equivalence, and Synchronization Control of Dynamic Power Grids -- Blackout Model Based on DC Power Flow -- Blackout Model Based on AC Power Flow -- Blackout Model Considering Reactive Power/Voltage Characteristics -- Blackout Model Based on the OTS -- Applications to Generation Expansion Planning and Power Network Planning -- Applications In Electric Power Emergency Management Platform.          .
520 _a“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.    
650 0 _aEngineering.
650 0 _aPhysics.
650 0 _aProduction of electric energy or power.
650 1 4 _aEngineering.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
650 2 4 _aPhysics, general.
650 2 4 _aEnergy Systems.
700 1 _aZhang, Xuemin.
_eauthor.
700 1 _aCao, Ming.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642162107
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-16211-4
912 _aZDB-2-ENG
999 _c107130
_d107130