000 04361nam a22005295i 4500
001 978-1-4614-9411-9
003 DE-He213
005 20140220082505.0
007 cr nn 008mamaa
008 131202s2014 xxu| s |||| 0|eng d
020 _a9781461494119
_9978-1-4614-9411-9
024 7 _a10.1007/978-1-4614-9411-9
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aMorales, Juan M.
_eauthor.
245 1 0 _aIntegrating Renewables in Electricity Markets
_h[electronic resource] :
_bOperational Problems /
_cby Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2014.
300 _aXVI, 429 p. 92 illus., 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v205
505 0 _aIntroduction -- Renewable Energy Sources - Modeling and Forecasting -- Clearing the Day-Ahead Market with a High Penetration of Stochastic Production -- Balancing Markets -- Managing Uncertainty with Flexibility -- Impact of Stochastic Renewable Energy Generation on Market Quantities -- Trading Stochastic Production in Electricity Pools -- Virtual Power Plants -- Facilitating Renewable Integration by Demand Response -- Random Variables and Stochastic Processes -- Basics of Optimization -- Introduction to Stochastic Programming -- Introduction to Robust Optimization -- GAMS Codes.
520 _aThis addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units. As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained. Within the context above, this book provides up-to-date analytical tools to address challenging operational problems such as: • The modeling and forecasting of stochastic renewable power production. • The characterization of the impact of renewable production on market outcomes. • The clearing of electricity markets with high penetration of stochastic renewable units. • The development of mechanisms to counteract the variability and unpredictability of stochastic renewable units so that supply security is not at risk. • The trading of the electric energy produced by stochastic renewable producers. • The association of a number of electricity production facilities, stochastic and others, to increase their competitive edge in the electricity market. • The development of procedures to enable demand response and to facilitate the integration of stochastic renewable units. This book is written in a modular and tutorial manner and includes many illustrative examples to facilitate its comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, applied mathematics and economics. Practitioners in the electric energy sector will benefit as well from the concepts and techniques explained in this book.
650 0 _aEconomics.
650 0 _aProduction of electric energy or power.
650 0 _aOperations research.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
650 2 4 _aOperations Research, Management Science.
700 1 _aConejo, Antonio J.
_eauthor.
700 1 _aMadsen, Henrik.
_eauthor.
700 1 _aPinson, Pierre.
_eauthor.
700 1 _aZugno, Marco.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461494102
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v205
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9411-9
912 _aZDB-2-SBE
999 _c92372
_d92372