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A survey of the optimal power flow literature
Abstract
A survey is presented of publications in the fields of optimal power flow and dispatching. It suggests a classification of methods based on the choice of optimization techniques. The survey is summarized in a single flow-chart-type figure, which indicates the relationship between methods, their chronology, and their popularity. This figure is based on a compilation of over three hundred publications.>
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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
Analytic Considerations and Design Basis for the IEEE Distribution Test Feeders
Schneider, K. P., Mather, B. A., Pal, B. C., Ten, C.-W., Shirek, G. J., Zhu, H., Fuller, J. C., Pereira, J. L. R., Ochoa, L. F., de Araujo, L. R., et al. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2760011 · Cited by 710
An interior-point method for nonlinear optimal power flow using voltage rectangular coordinates
Torres, G. L., & Quintana, V. H. (1998) · IEEE Transactions on Power Systems · doi:10.1109/59.736231 · Cited by 355
A Survey on Applications of Machine Learning for Optimal Power Flow
Hasan, F., Kargarian, A., & Mohammadi, A. (2020) · 2020 IEEE Texas Power and Energy Conference (TPEC) · doi:10.1109/tpec48276.2020.9042547 · Cited by 85
Voltage Optimization in PV-Rich Distribution Networks—A Review
Dubravac, M., Fekete, K., Topić, D., & Barukčić, M. (2022) · Applied Sciences · doi:10.3390/app122312426 · Cited by 26
Metadata
- Authors
- Huneault, M., & Galiana, F. D.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1991-05
- Volume
- 6
- Issue
- 2
- Pages
- 762-770
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2072642243
- Cited by
- 603
- References
- 0
- FWCI
- 4.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Huneault, M., & Galiana, F. D. (1991). A survey of the optimal power flow literature. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.76723
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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.