DocumentCode :
972826
Title :
Price-taker bidding strategy under price uncertainty
Author :
Conejo, Antonio J. ; Nogales, Francisco Javier ; Arroyo, José Manuel
Author_Institution :
E.T.S.I. Industriales, Univ. de Castilla-La Mancha, Ciudad Real, Spain
Volume :
17
Issue :
4
fYear :
2002
fDate :
11/1/2002 12:00:00 AM
Firstpage :
1081
Lastpage :
1088
Abstract :
This paper provides a framework to obtain the optimal bidding strategy of a price-taker producer. An appropriate forecasting tool is used to estimate the probability density functions of next-day hourly market-clearing prices. This probabilistic information is used to formulate a self-scheduling profit maximization problem that is solved taking advantage of its particular structure. The solution of this problem allows deriving a simple yet informed bidding rule. Results from a realistic case study are discussed in detail.
Keywords :
linear programming; power markets; probability; MILP; forecasting tool; next-day hourly market-clearing prices; optimal bidding strategy; pool-based electricity market; price uncertainty; price-taker bidding strategy; price-taker producer; probability density functions estimation; self-scheduling; self-scheduling profit maximization problem; Cost function; Covariance matrix; Economic forecasting; Electricity supply industry; Information analysis; Power generation; Probability density function; Random variables; Uncertainty; Upper bound;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2002.804948
Filename :
1137597
Link To Document :
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