000			02049nam a2200241 i 4500
008			150219b gw ad||| |||| 00| 0 eng d
020			_a9783843367080
035			_a(OCoLC)
040			_aBAUN _beng _cBAUN _erda
049			_aBAUN_MERKEZ
050	0	0	_aTK1001 _b.B45 2010
100	1		_aBelkacem, M. _979929 _eaut
245	1	0	_aExamination of the optimal power flow based facts devices : _boptimal location of facts, power quality, global optimization merthds, decomposed network, planning and cntrol _cBelkacem Mahdad.
264		1	_aBerlin : _bLAP Lambert Academic Publishing, _c2010
300			_a284 pages : _billustrations, tables ; _c22 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references.
520			_aDuring the last years, as power demand grow, the power systems become increasingly more difficult to operate within the indices power quality, and the system become more insecure with unscheduled power flows and higher losses. In this context to overcome the technical difficulty related to power system security, a new concept has been introduced to power system operation and control called Flexible Alternative Current Transmission System (FACTS). The main objective of the different FACTS technology is to bring a system under flexible control and to transmit power as ordered by the control centre. In other term, this new technology allows to increase the power system security at severe loading conditions and critical situations (Contingency). This thesis gives an insight on the application of hybrid parallel global optimization methods based: Genetic Algorithm, Particle Swarm Optimization,and Fuzzy logic, to enhance the optimal power flow solution with consideration of multi type FACTS Controllers.This thesis will be especially useful to graduate students, academic researchers, and engineers specialized in power system operation and control.
650		0	_aElectric power systems. _93731
942			_2lcc _cKT
999			_c33723 _d33723