DocumentCode :
1454679
Title :
Auction design in day-ahead electricity markets
Author :
Contreras, Javier ; Candiles, Oscar ; De la Fuente, José Ignacio ; Gómez, Tomás
Author_Institution :
E.T.S. de Ingenieros Ind., Castilla-La-Mancha Univ., Ciudad Real, Spain
Volume :
16
Issue :
1
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
88
Lastpage :
96
Abstract :
Competition in day-ahead electricity markets has been established through auctions where generators and loads bid prices and quantities. Different approaches have been discussed regarding the market auction design. Multi-round auctions, despite its implementation complexity, allow market participants to adapt their successive bids to market prices considering their operational and economic constraints. However, most of the day-ahead electricity market implementations use noniterative single-round auctions. This paper presents a market simulator to compare both auction models. Different auction alternatives, such as the Spanish single-round auction that takes into account special conditions included in the generator bids, and multi-round auctions with different stopping rules, are analyzed. The results and acquired experience in the simulation of the Spanish market, started in January 1998, are presented. Hourly market prices, average daily price, price/demand correlation and several economic efficiency indicators, such as generator surplus, consumer surplus and social welfare, are compared to derive conclusions regarding the performance of the auction alternatives
Keywords :
electricity supply industry; iterative methods; power system economics; Spanish single-round auction; auction design; average daily price; consumer surplus; day-ahead electricity markets; economic constraints; economic efficiency indicators; generator bids; generator surplus; hourly market prices; multi-round auctions; noniterative single-round auctions; operational constraints; power market auction; price/demand correlation; social welfare; stopping rules; Costs; Economic indicators; Electricity supply industry; Iterative algorithms; Minimization methods; Power generation; Power generation economics; Power markets; Power system economics; Profitability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.910785
Filename :
910785
Link To Document :
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