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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Botterud, A. Wang, J. Bessa, R.J. Keko, H. Miranda, V. |
| Copyright Year | 2010 |
| Description | Author affiliation: INESC Porto and Faculty of Engineering of the University of Porto, Portugal (Bessa, R.J.; Keko, H.; Miranda, V.) || Argonne National Laboratory, USA (Botterud, A.; Wang, J.) |
| Abstract | This paper discusses risk management, contracting, and bidding for a wind power producer. A majority of the wind power in the United States is sold on long-term power purchase agreements, which hedge the wind power producer against future price risks. However, a significant amount is sold as merchant power and therefore is exposed to fluctuations in future electricity prices (day-ahead and real-time) and potential imbalance penalties. Wind power forecasting can serve as a tool to increase the profit and reduce the risk from participating in the wholesale electricity market. We propose a methodology to derive optimal day-ahead bids for a wind power producer under uncertainty in realized wind power and market prices. We also present an initial illustrative case study from a hypothetical wind site in the United States, where we compare the results of different day-ahead bidding strategies. The results show that the optimal day-ahead bid is highly dependent on the expected day-ahead and real-time prices, and also on the risk preferences of the wind power producer. A deviation penalty between day-ahead bid and real-time delivery tends to drive the bids closer to the expected generation for the next day. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 625870 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424465491 |
| ISSN | 19449925 |
| e-ISBN | 9781424465514 |
| e-ISBN | 9781424483570 |
| DOI | 10.1109/PES.2010.5589535 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wind power generation Wind forecasting Real time systems Electricity supply industry Forecasting Uncertainty stochastic simulations Wind power electricity markets risk management contracting forecasting bidding |
| Content Type | Text |
| Resource Type | Article |
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