000			03339nam a22004575i 4500
001			u375249
003			SIRSI
005			20160812084315.0
007			cr nn 008mamaa
008			110913s2011 gw | s |||| 0|eng d
020			_a9783642162114 _9978-3-642-16211-4
040			_cMX-MeUAM
050		4	_aTK7881.15
082	0	4	_a621.317 _223
100	1		_aMei, Shengwei. _eauthor.
245	1	0	_aPower Grid Complexity _h[recurso electrónico] / _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	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-16211-4
596			_a19
942			_cLIBRO_ELEC
999			_c203129 _d203129