The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland
Open accessAbstract
A stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented. The schedules are updated in a rolling manner as more up-to-date information becomes available. This is a fundamental change relative to day-ahead unit commitment approaches. The need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages. The model is used to study operational impacts of future high wind penetrations for the island of Ireland. Results show that at least 6000 MW of wind (34% of energy demand) can be integrated into the island of Ireland without significant curtailment and reliability problems.
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Cites
Introduction to Stochastic Programming
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A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem
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Decision Making Under Uncertainty in Electricity Markets
Conejo, A. J., Carrión, M., & Morales, J. M. (2010) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4419-7421-1 · Cited by 1,231
Scenario reduction in stochastic programming
Dupa?ov�, J., Gr�we-Kuska, N., & R�misch, W. (2003) · Mathematical Programming · doi:10.1007/s10107-002-0331-0 · Cited by 1,041
Security-Constrained Unit Commitment With Volatile Wind Power Generation
Wang, J., Shahidehpour, M., & Li, Z. (2008) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.926719 · Cited by 914
A New Approach to Quantify Reserve Demand in Systems With Significant Installed Wind Capacity
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Self-citationStochastic Security for Operations Planning With Significant Wind Power Generation
Bouffard, F., & Galiana, F. D. (2008) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.919318 · Cited by 713
Unit Commitment for Systems With Significant Wind Penetration
Tuohy, A., Meibom, P., Denny, E., & O'Malley, M. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2016470 · Cited by 703
Self-citationDecision making under uncertainty in electricity markets
Barroso, L. A., & Conejo, A. J. (2006) · 2006 IEEE Power Engineering Society General Meeting · doi:10.1109/pes.2006.1709323 · Cited by 622
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Metadata
- Authors
- Meibom, P., Barth, R., Hasche, B., Brand, H., Weber, C., & O'Malley, M.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2011-08
- Volume
- 26
- Issue
- 3
- Pages
- 1367-1379
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2103709171
- Cited by
- 344
- References
- 21
- FWCI
- 18.19
- Type
- journal article
- Language
- en
- Open access
- green
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- Meibom, P., Barth, R., Hasche, B., Brand, H., Weber, C., & O'Malley, M. (2011). Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2010.2070848
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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