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A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods
Abstract
For pt.II see ibid., vol.14, no.1, p.96-104 (1999). This second of a two part paper offers a survey of literature on optimal power flow from 1968-93. This part treats Newton-based, linear programming and interior point methods of solution.
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Citations
Cited by
Branch Flow Model: Relaxations and Convexification—Part I
Farivar, M., & Low, S. H. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2255317 · Cited by 1,541
Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence
Low, S. H. (2014) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2014.2309732 · Cited by 929
A Survey of Particle Swarm Optimization Applications in Electric Power Systems
AlRashidi, M. R., & El-Hawary, M. E. (2009) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2006.880326 · Cited by 720
Self-citationOptimal power flow: a bibliographic survey I: Formulations and deterministic methods
Frank, S., Steponavice, I., & Rebennack, S. (2012) · Energy Systems · doi:10.1007/s12667-012-0056-y · Cited by 554
Optimal power flow using gravitational search algorithm
Duman, S., Güvenç, U., Sönmez, Y., & Yörükeren, N. (2012) · Energy Conversion and Management · doi:10.1016/j.enconman.2012.02.024 · Cited by 502
Metadata
- Authors
- Momoh, J. A., El-Hawary, M. E., & Adapa, R.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1999
- Volume
- 14
- Issue
- 1
- Pages
- 105-111
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2134869843
- Cited by
- 645
- References
- 0
- FWCI
- 5.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Momoh, J. A., El-Hawary, M. E., & Adapa, R. (1999). A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.744495
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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.
