The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Optimal capacitor placement in radial distribution networks
Abstract
The capacitor placement (replacement) problem for radial distribution networks determines capacitor types, sizes, locations and control schemes. Optimal capacitor placement is a hard combinatorial problem that can be formulated as a mixed integer nonlinear program. Since this is a NP complete problem (nonpolynomial time) the solution approach uses a combinatorial search algorithm. The paper proposes a hybrid method drawn upon the Tabu Search approach, extended with features taken from other combinatorial approaches such as genetic algorithms and simulated annealing, and from practical heuristic approaches. The proposed method has been tested in a range of networks available in the literature with superior results regarding both quality and cost of solutions.
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Citations
Cites
Glover, F., & Laguna, M. (1997) · doi:10.1007/978-1-4615-6089-0 · Cited by 3,001
Cited by
Ding, T., Liu, S., Yuan, W., Bie, Z., & Zeng, B. (2016) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2015.2494587 · Cited by 423
Metadata
- Authors
- Gallego, R. A., Monticelli, A. J., & Romero, R.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2001
- Volume
- 16
- Issue
- 4
- Pages
- 630-637
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2101985453
- Cited by
- 327
- References
- 1
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Optimal capacitor placement in radial distribution networks. https://app.cochat.ai/papers/10.1109/59.962407
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- Gallego, R. A., Monticelli, A. J., & Romero, R. (2001). Optimal capacitor placement in radial distribution networks. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.962407
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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.
