000			02242nam a22003375i 4500
001			108068
003			DE-He213
005			20230102113331.0
007			cr nn 008mamaa
008			171111s2018 gw | s |||| 0|eng d
020			_a9783319698861 _9
024	7		_a10.1007/978-3-319-69886-1 _2doi
040			_aES-MaUEC _bspa
050		4	_aTK3091 2018 EB
100	1		_aQin, Nan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2014079016 _1http://viaf.org/viaf/313284875
245	1	0	_aVoltage Control in the Future Power Transmission Systems _cby Nan Qin.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXIV, 240 páginas 119 ilustraciones, 104 ilustraciones a color)
347			_atext file _bPDF
490	0		_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053
505	0		_aIntroduction -- Load Flow Calculation -- Numerical Optimization -- Danish AVC System.-  Implementation -- Case Studies -- Fallback Scheme -- Conclusions.
520			_aThis book reports on the formulation of a multi-stage optimization framework for the Danish power system, taking into account the real operational cost, the voltage constraints and the uncertainty associated to the forecasting errors of the wind power. It describes in detail the implementation of this framework into a simulation platform and its validation in real-world applications. The book especially focuses on automatic voltage control systems and on methods to handle uncertainty in them. All in all, it provides readers with a comprehensive overview of power system optimization and future trends in power system operation.  .
650		7	_aEnergía eléctrica _2embne _9405147
776	0	8	_iPrinted edition: _z9783319698854
776	0	8	_iPrinted edition: _z9783319698878
776	0	8	_iPrinted edition: _z9783319888583
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-69886-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
998			_b02/2019 _dz _feng _ggw _h0
998			_b03/2019 _dz _ep _feng _ggw _h0
999			_c108068 _d108068