Integrating Renewables in Electricity Markets Operational Problems /

This 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 elect...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Morales, Juan M. (Συγγραφέας), Conejo, Antonio J. (Συγγραφέας), Madsen, Henrik (Συγγραφέας), Pinson, Pierre (Συγγραφέας), Zugno, Marco (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2014.
Σειρά:International Series in Operations Research & Management Science, 205
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Morales, Juan M.  |e author. 
245 1 0 |a Integrating Renewables in Electricity Markets  |h [electronic resource] :  |b Operational Problems /  |c by Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno. 
264 1 |a Boston, MA :  |b Springer US :  |b Imprint: Springer,  |c 2014. 
300 |a XVI, 429 p. 92 illus., 12 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a International Series in Operations Research & Management Science,  |x 0884-8289 ;  |v 205 
505 0 |a Introduction -- 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 |a This 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 |a Business. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Management science. 
650 0 |a Power electronics. 
650 1 4 |a Business and Management. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Power Electronics, Electrical Machines and Networks. 
650 2 4 |a Operations Research, Management Science. 
700 1 |a Conejo, Antonio J.  |e author. 
700 1 |a Madsen, Henrik.  |e author. 
700 1 |a Pinson, Pierre.  |e author. 
700 1 |a Zugno, Marco.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461494102 
830 0 |a International Series in Operations Research & Management Science,  |x 0884-8289 ;  |v 205 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4614-9411-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
950 |a Business and Economics (Springer-11643)