The DOI matches its Crossref record.
Short-Term Trading for a Wind Power Producer
Abstract
This paper presents a technique to derive the best offering strategy for a wind power producer in an electricity market that includes various trading floors. Uncertainty pertaining to wind availability, market prices at the different trading stages, and balancing energy needs are properly taken into account. Risk on profit variability is suitably controlled at the cost of a small reduction in expected profit. The proposed technique translates into a linear programming problem of moderate size, which is readily solvable using commercially available software. A variety of numerical case studies demonstrate the interest and effectiveness of the proposed technique. Appropriate conclusions are duly drawn.
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Citations
Cited by
A methodology to generate statistically dependent wind speed scenarios
Morales, J. M., Mínguez, R., & Conejo, A. J. (2010) · Applied Energy · doi:10.1016/j.apenergy.2009.09.022 · Cited by 342
Self-citationAgent-based homeostatic control for green energy in the smart grid
Ramchurn, S. D., Vytelingum, P., Rogers, A., & Jennings, N. R. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1989734.1989739 · Cited by 126
Metadata
- Authors
- Morales, J. M., Conejo, A. J., & Perez-Ruiz, J.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2010-02
- Volume
- 25
- Issue
- 1
- Pages
- 554-564
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2116224582
- Cited by
- 478
- References
- 0
- FWCI
- 23.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Short-Term Trading for a Wind Power Producer. https://app.cochat.ai/papers/10.1109/tpwrs.2009.2036810
- The paper
- Morales, J. M., Conejo, A. J., & Perez-Ruiz, J. (2010). Short-Term Trading for a Wind Power Producer. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2009.2036810
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
