DocumentCode :
1435977
Title :
Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results
Author :
Dent, Chris J. ; Bialek, Janusz W. ; Hobbs, Benjamin F.
Author_Institution :
Sch. of Eng. & Comput. Sci., Durham Univ., Durham, UK
Volume :
26
Issue :
3
fYear :
2011
Firstpage :
1600
Lastpage :
1608
Abstract :
Wind generation must trade in forward electricity markets based on imperfect forecasts of its output and real-time prices. When the real-time price differs for generators that are short and long, the optimal forward strategy must be based on the opportunity costs of charges and payments in real-time rather than a central estimate of wind output. We present analytical results for wind´s optimal forward strategy. In the risk-neutral case, the optimal strategy is determined by the distribution of real-time available wind capacity, and the expected real-time prices conditioned on the forward price and wind out-turn; our approach is simpler and more computationally efficient than formulations requiring specification of full joint distributions or a large set of scenarios. Informative closed-form examples are derived for particular specifications of the wind-price dependence structure. In the usual case of uncertain forward prices, the optimal bidding strategy generally consists of a bid curve for wind power, rather than a fixed quantity bid. A discussion of the risk-averse problem is also provided. An analytical result is available for aversion to production volume risk; however, we doubt whether wind owners should be risk-averse with respect to the income from a single settlement period, given the large number of such periods in a year.
Keywords :
power generation economics; power markets; pricing; wind power plants; bid curve; forward markets; forward price; opportunity cost bidding; optimal forward strategy; production volume risk; real-time prices; risk-averse problem; wind capacity; wind generators; wind out-turn; wind-price dependence structure; Forward contracts; Generators; Real time systems; Wind forecasting; Wind power generation; Power generation economics; risk analysis; wind power generation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2010.2100412
Filename :
5701793
Link To Document :
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