000			04282cam a22004457i 4500
001			17600642
005			20240114201238.0
008			151105t20132013ii a b 000 0 eng d
010			_a2013931513
020			_a9788132209867 (alk. paper)
020			_a8132209869 (alk. paper)
020			_z9788132209874 (eBook)
035			_a(OCoLC)ocn844970878
040			_aIXA _beng _cIXA _erda _dYDXCP _dBWX _dOCLCF _dOCLCQ _dOCLCO _dOCLCQ _dOCLCO _dDLC _dBAU
042			_alccopycat
049			_aBAU_MERKEZ
050	0	0	_aTJ820 _b.R45 2013
245	0	0	_aReliability and risk evaluation of wind integrated power systems / _cRoy Billinton, Rajesh Karki, Ajit Kumar Verma, editors.
264		1	_aNew Delhi ; _aNew York : _bSpringer, _c[2013]
264		4	_c©2013
300			_axiv, 128 pages : _billustrations ; _c25 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aReliable and sustainable electric power and energy systems management
500			_a"Five of the eight chapters in this book are extended versions of papers presented at the PMAPS-2012 Conference, June 10-14, 2012 in Istanbul, Turkey"--Preface.
504			_aIncludes bibliographical references.
505	0	0	_tDetermining capacity credit for wind used in MISO resource adequacy / _rBrandon Heath, Charles Tyson and John Lawhorn -- _tWind power scenario tree tool : development and methodology / _rColm Lowery and Mark O'Malley -- _tProbabilistic ramp detection and forecasting for wind power prediction / _rC. Ferreira, J. Gama, V. Miranda and A. Botterud -- _tApplication of hourly time series models in day-ahead wind power commitment / _rSuman Thapa, Rajesh Karki and Roy Billinton -- _tProbabilistic guarantees for the N-1 security of systems with wind power generation / _rMaria Vrakopoulou, Kostas Margellos, John Lygeros and Göran Andersson -- _tAdequacy and security measures in integrated intermittent renewable generation systems / _rWijarn Wangdee, Roy Billinton and Wenyuan Li -- _tRepresentation of wind and load correlation in non-sequential Monte Carlo reliability evaluation / _rCarmen L.T. Borges and Julio A.S. Dias -- _tComposite reliability assessment of power systems with large penetration of renewable sources / _rArmando M. Leite da Silva, Luiz Antônio F. Manso, Silvan A. Flávio, Mauro A. da Rosa and Leonidas C. Resende.
520			_aDeals with reliability and evaluation of renewable energy based electricity generating schemes. Quantifies the wind power prediction for system planning and operation. Measures capacity benefit and capacity credit of wind and solar power systems. With the introduction of various types of incentives for renewable sources based electricity generation, the world is witnessing the rapid growth in wind, solar, biomass and other renewable based generation. Unlike electricity generation schemes based on conventional energy sources, wind power systems suffer from the uncertainty of wind availability and variability of the wind speed. In this regard, this volume intends to bring out the original research work of researchers from academia and industry in understanding, quantifying and managing the risks associated with the uncertainty in wind variability in order to plan and operate a modern power system integrated with significant proportion of wind power generation with an acceptable level of reliability. The accurate prediction of wind speed variability is very important for operation of electric power system in secure and safe environment and will play a crucial role in defining the requirement of various types of services such as ancillary services in the power system. This may also affect the electricity market strategy of conventional resources based power producers in the power market.--
650		0	_aWind power.
650		0	_aWind power plants.
650		7	_aWind power. _2fast
650		7	_aWind power plants. _2fast
700	1		_aBillinton, Roy,
700	1		_aKarki, Rajesh,
700	1		_aVerma, A. K. _q(Ajit Kumar),
711	2		_aInternational Conference on Probabilistic Methods Applied to Power Systems _d(2012 : _cIstanbul, Turkey)
830		0	_9108460 _aReliable and sustainable electric power and energy systems management.
942			_2lcc _cKT
999			_c34573 _d34573