000			03822nam a22004695i 4500
001			978-0-387-23471-7
003			DE-He213
005			20170628033234.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387234717 _9978-0-387-23471-7
024	7		_a10.1007/b101578 _2doi
050		4	_aTK1001-1841
072		7	_aTH _2bicssc
072		7	_aTEC031000 _2bisacsh
082	0	4	_a621.042 _223
100	1		_aChow, Joe H. _eeditor.
245	1	0	_aApplied Mathematics for Restructured Electric Power Systems _h[electronic resource] : _bOptimization, Control, and Computational Intelligence / _cedited by Joe H. Chow, Felix F. Wu, James Momoh.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXXXII, 324 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aPower Electronics and Power Systems
505	0		_aApplied Mathematics for Restructured Electric Power Systems -- Reactive Power and Voltage Control Issues in Electric Power Systems -- Identification of Weak Locations in Bulk Transmission Systems Using Voltage Stability Margin Index -- Bifurcation and Manifold Based Approach for Voltage and Oscillatory Stability Assessment and Control -- On-Line ATC Evaluation for Large-Scale Power Systems: Framework and Tool -- Automating Operation of Large Electric Power Systems Over Broad Ranges of Supply/Demand and Equipment Status -- Robust Control of Large Power Systems VIA Convex Optimization -- Instability Monitoring and Control of Power Systems -- Dynamic Embedded Optimization and Shooting Methods for Power System Performance Assessment -- Computational Intelligence Techniques for Control of FACTS Devices -- Placement and Coordinated Tuning of Control Devices for Capacity and Security Enhancement Using Metaheuristics -- Load Forecasting -- Independent Component Analysis Techniques for Power System Load Estimation.
520			_aApplied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
650		0	_aEngineering.
650	1	4	_aEngineering.
650	2	4	_aPower Engineering.
650	2	4	_aElectrical Power Generation and Transmission.
650	2	4	_aRenewable Energy Sources.
700	1		_aWu, Felix F. _eeditor.
700	1		_aMomoh, James. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387234700
830		0	_aPower Electronics and Power Systems
856	4	0	_uhttp://dx.doi.org/10.1007/b101578
912			_aZDB-2-ENG
999			_c14264 _d14264