000			01953cam a2200289 i 4500
999			_c4124 _d4124
001			18295240
005			20181218092926.0
008			140909s2015 enk 000 0 eng
010			_a 2014032238
020			_a9781107076877 (hardback)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aTK1005 _b.T427 2015
082	0	0	_a621.3101/5196 _223
100	1		_aTaylor, Joshua Adam, _d1983-
245	1	0	_aConvex optimization of power systems / _cJoshua Adam Taylor.
300			_axiv, 197 pages ; _c26 cm
505	8		_aMachine generated contents note: 1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions.
520			_a"Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control"--
650		0	_aElectric power systems _xMathematical models.
650		0	_aElectric power distribution _xMathematics.
650		0	_aConvex programming.
650		0	_aMathematical optimization.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK