Kniha Optimal Algorithms for Energy Markets Yoseba Pena Landaburu

Optimal Algorithms for Energy Markets

Allocation and Scheduling of Demand in Deregulated Energy Markets

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 14-21 dnů
1 583
The deregulation of the energy industry has createdmarketplaces in which producers and consumers can...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2008
Stránek
172
EAN
9783639013269
ISBN
3639013263
Enbook ID
06811340
Hmotnost
236
Rozměry
152 x 229 x 9

Kompletní popis

The deregulation of the energy industry has createdmarketplaces in which producers and consumers canoperate in order to more effectively. This bookdevelops a new model for electricity retail wherecustomers may choose their supplier. It is based onsimultaneous reverse combinatorial auctions, designedas a second-price sealed-bid multi-item auction withsupply function bidding. This mechanism preventsstrategic bidding and allows the auctioneer tomaximise its pay-off. Furthermore, we develop optimalsingle-item and multi-item algorithms for winnerdetermination in such auctions that are significantlyless complex than those currently available in theliterature. Nevertheless, the consumption of theenergy of each singular auctioneer has to be adaptedto the submitted bids to maximise the pay-off. Thus,this work models the constellation of energyconsumers as a distributed constraint optimisationproblem (dCOP). In order to overcome the specificdomain demands, this book presents a novel optimaldCOP algorithm called COBB (Constraint OptimisationBy Broadcasting), and adapts state-of-the-artcounterparts. Empirical comparisons show that COBBclearly outperforms all of them. The deregulation of the energy industry has created§marketplaces in which producers and consumers can§operate in order to more effectively. This book§develops a new model for electricity retail where§customers may choose their supplier. It is based on§simultaneous reverse combinatorial auctions, designed§as a second-price sealed-bid multi-item auction with§supply function bidding. This mechanism prevents§strategic bidding and allows the auctioneer to§maximise its pay-off. Furthermore, we develop optimal§single-item and multi-item algorithms for winner§determination in such auctions that are significantly§less complex than those currently available in the§literature. Nevertheless, the consumption of the§energy of each singular auctioneer has to be adapted§to the submitted bids to maximise the pay-off. Thus,§this work models the constellation of energy§consumers as a distributed constraint optimisation§problem (dCOP). In order to overcome the specific§domain demands, this book presents a novel optimal§dCOP algorithm called COBB (Constraint Optimisation§By Broadcasting), and adapts state-of-the-art§counterparts. Empirical comparisons show that COBB§clearly outperforms all of them.

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