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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cai, D.W.H. Adlakha, S. Chandy, K.M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering, California Institute of Technology, Pasadena, USA (Cai, D.W.H.) || Center for Mathematics of Information, California Institute of Technology, Pasadena, USA (Adlakha, S.) || Department of Computer Science, California Institute of Technology, Pasadena, USA (Chandy, K.M.) |
| Abstract | The growth of wind energy production poses several challenges in its integration in current electric power systems. In this work, we study how a wind power producer can bid optimally in existing electricity markets. We derive optimal contract size and expected profit for a wind producer under arbitrary penalty function and generation costs. A key feature of our analysis is to allow for the wind producer to strategically withhold production once the day ahead contract is signed. Such strategic behavior is detrimental to the smooth functioning of electricity markets. We show that under simple conditions on the offered price and marginal imbalance penalty, a risk neutral profit maximizing wind power producer will produce as much as wind power is available (up to its contract size). |
| Starting Page | 1521 |
| Ending Page | 1527 |
| File Size | 336852 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781612848006 |
| ISSN | 07431546 |
| e-ISBN | 9781612848013 |
| e-ISBN | 9781612847993 |
| DOI | 10.1109/CDC.2011.6161253 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Contracts Wind power generation Production Equations Uncertainty Electricity supply industry Convex functions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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