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Stochastic Security for Operations Planning With Significant Wind Power Generation
Abstract
In their attempt to cut down on greenhouse gas emissions from electricity generation, several countries are committed to install wind power generation up to and beyond the 10%-20% penetration mark. However, the large-scale integration of wind power represents a challenge for power system operations planning because wind power 1) cannot be dispatched in the classical sense; and 2) its output varies as weather conditions change. This warrants the investigation of alternative short-term power system operations planning methods capable of better coping with the nature of wind generation while maintaining or even improving the current reliability and economic performance of power systems. To this end, this paper formulates a short-term forward electricity market-clearing problem with stochastic security capable of accounting for nondispatchable and variable wind power generation sources. The principal benefit of this stochastic operation planning approach is that, when compared to a deterministic worst-case scenario planning philosophy, it allows greater wind power penetration without sacrificing security.
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Cited by
Reserve Requirements for Wind Power Integration: A Scenario-Based Stochastic Programming Framework
Papavasiliou, A., Oren, S. S., & O'Neill, R. P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2121095 · Cited by 580
Security-Constrained Unit Commitment With Linearized System Frequency Limit Constraints
Ahmadi, H., & Ghasemi, H. (2014) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2297997 · Cited by 386
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
A survey on fog computing for the Internet of Things
Bellavista, P., Berrocal, J., Corradi, A., Das, S. K., Foschini, L., & Zanni, A. (2019) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2018.12.007 · Cited by 268
Chance-Constrained AC Optimal Power Flow: Reformulations and Efficient Algorithms
Roald, L., & Andersson, G. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2745410 · Cited by 267
Metadata
- Authors
- Bouffard, F., & Galiana, F. D.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2008-05
- Volume
- 23
- Issue
- 2
- Pages
- 306-316
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2135131968
- Cited by
- 713
- References
- 0
- FWCI
- 26.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bouffard, F., & Galiana, F. D. (2008). Stochastic Security for Operations Planning With Significant Wind Power Generation. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2008.919318
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