Integrating Renewables in Electricity Markets: Operational Problems: International Series in Operations Research & Management Science, cartea 205
Autor Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugnoen Limba Engleză Hardback – 4 dec 2013
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.
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Specificații
ISBN-13: 9781461494102
ISBN-10: 1461494109
Pagini: 448
Ilustrații: XVI, 429 p. 92 illus., 12 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.8 kg
Ediția:2014
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
ISBN-10: 1461494109
Pagini: 448
Ilustrații: XVI, 429 p. 92 illus., 12 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.8 kg
Ediția:2014
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
Public țintă
GraduateCuprins
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.
Notă biografică
Juan M. Morales received his M.Sc. degree in Industrial Engineering from the University of Málaga and his Ph.D. in Electrical Engineering from the University of Castilla – La Mancha, Spain. Since 2013 he is an associate professor in Stochastic Optimization in Energy Systems in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. His research interests include mathematical programming and techniques of optimization under uncertainty, decision making, hierarchical optimization, renewable energies and energy economics.
Antonio J. Conejo received the M.S. degree from Massachusetts Institute of Technology, Cambridge, MA, in 1987 and the Ph.D. degree from the Royal Institute of Technology, Stockholm, Sweden, in 1990. He is currently Professor of Electrical Engineering at the Universidad de Castilla – La Mancha, Ciudad Real, Spain.
Henrik Madsen received his M.Sc. (1982) and PhD (1986) in Statistics from the Technical University of Denmark (DTU). His research interests include forecasting of wind and solar power, time series analysis, and estimation of parameters in stochastic differential equations for physical modeling. Since 1999 he has been a full professor in Stochastic Dynamical Systems.
Pierre Pinson received his M.Sc. in Applied Mathematics from the National Institute of Applied Sciences, Toulouse, and his Ph.D. in Energetics from the Ecole des Mines de Paris. He is the Professor in Modelling of Electricity Markets at the Technical University of Denmark, Dpt. of Electrical Engineering. His research interests include statistical modelling; forecasting; stochastic optimization; decision making under uncertainty; renewable energies; meteorology; energy management; and energy trading.
Marco Zugno received the M.Sc. degree in Electrical Engineering from the Technical University of Denmark (DTU) and the M.Sc. degree in Automation Engineering from the University of Padua, Italy. He holdsa Ph.D. degree obtained from the department of Applied Mathematics and Computer Science at DTU. He is currently a postdoctoral researcher with the same department. His research interests include electricity market modeling; stochastic programming; robust optimization; and hierarchical optimization.
Antonio J. Conejo received the M.S. degree from Massachusetts Institute of Technology, Cambridge, MA, in 1987 and the Ph.D. degree from the Royal Institute of Technology, Stockholm, Sweden, in 1990. He is currently Professor of Electrical Engineering at the Universidad de Castilla – La Mancha, Ciudad Real, Spain.
Henrik Madsen received his M.Sc. (1982) and PhD (1986) in Statistics from the Technical University of Denmark (DTU). His research interests include forecasting of wind and solar power, time series analysis, and estimation of parameters in stochastic differential equations for physical modeling. Since 1999 he has been a full professor in Stochastic Dynamical Systems.
Pierre Pinson received his M.Sc. in Applied Mathematics from the National Institute of Applied Sciences, Toulouse, and his Ph.D. in Energetics from the Ecole des Mines de Paris. He is the Professor in Modelling of Electricity Markets at the Technical University of Denmark, Dpt. of Electrical Engineering. His research interests include statistical modelling; forecasting; stochastic optimization; decision making under uncertainty; renewable energies; meteorology; energy management; and energy trading.
Marco Zugno received the M.Sc. degree in Electrical Engineering from the Technical University of Denmark (DTU) and the M.Sc. degree in Automation Engineering from the University of Padua, Italy. He holdsa Ph.D. degree obtained from the department of Applied Mathematics and Computer Science at DTU. He is currently a postdoctoral researcher with the same department. His research interests include electricity market modeling; stochastic programming; robust optimization; and hierarchical optimization.
Textul de pe ultima copertă
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.
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.
Caracteristici
First book to offer operations modeling of renewable electricity sources like wind and solar Conejo is the most prominent name in the field of electricity modeling End of chapter exercises, with ancillaries on the web Includes supplementary material: sn.pub/extras