000			03758nam a22006015i 4500
001			978-0-387-25950-5
003			DE-He213
005			20161121231013.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387259505 _9978-0-387-25950-5
024	7		_a10.1007/b136490 _2doi
050		4	_aTK1001-1841
072		7	_aTH _2bicssc
072		7	_aTEC031000 _2bisacsh
082	0	4	_a621.042 _223
100	1		_aPal, Bikash. _eauthor.
245	1	0	_aRobust Control in Power Systems _h[electronic resource] / _cby Bikash Pal, Balarko Chaudhuri.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXXVI, 190 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		_aPower System Oscillations -- Linear Control in Power Systems -- Test System Model -- Power System Stabilizers -- Multiple-Model Adaptive Control Approach -- Simultaneous Stabilization -- Mixed-Sensitivity Approach Using Linear Matrix Inequalities -- Normalized ?? Loop-Shaping Using Linear Matrix Inequalities -- ?? Control For Time-Delayed Systems.
520			_aRobust Control in Power Systems deals with the applications of new techniques in linear system theory to control low frequency oscillations in power systems. The book specifically focuses on the analysis and damping of inter-area oscillations in the systems which are in the range of 0.2-1 Hz. The damping control action is injected through high power electronic devices known as flexible AC transmission system (FACTS) controllers. Three commonly used FACTS controllers: controllable series capacitors (CSCs) controllable phase shifters (CPSs) and static var compensators (SVCs) have been used in this book to control the inter-area oscillations. The overview of linear system theory from the perspective of power system control is explained through examples. The damping control design is formulated as norm optimization problem. The H_infinity, H2 norm of properly defined transfer functions are minimized in linear matrix inequalities (LMI) framework to obtain desired performance and stability robustness. Both centralized and decentralized control structures are used. Usually the transmission of feedback signal from a remote location encounters delays making it difficult to control the system. Smith predictor based approach has been successfully explored in this book as a solution to such a problem. Robust Control in Power Systems will be valuable to academicians in the areas of power, control and system theory, as well as professionals in the power industry.
650		0	_aEngineering.
650		0	_aElectric power production.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aComplexity, Computational.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aMechatronics.
650		0	_aElectrical engineering.
650		0	_aPower electronics.
650	1	4	_aEngineering.
650	2	4	_aEnergy Technology.
650	2	4	_aElectrical Engineering.
650	2	4	_aPower Electronics, Electrical Machines and Networks.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aComplexity.
700	1		_aChaudhuri, Balarko. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387259499
830		0	_aPower Electronics and Power Systems
856	4	0	_uhttp://dx.doi.org/10.1007/b136490
912			_aZDB-2-ENG
950			_aEngineering (Springer-11647)
999			_c507123 _d507123