The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Optimal power flow using gravitational search algorithm
Open accessAbstract
In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for optimal power flow (OPF) problem in a power system. The proposed approach is applied to determine the optimal settings of control variables of the OPF problem. The performance of the proposed approach examined and tested on the standard IEEE 30-bus and 57-bus test systems with different objective functions and is compared to other heuristic methods reported in the literature recently. Simulation results obtained from the proposed GSA approach indicate that GSA provides effective and robust high-quality solution for the OPF problem.
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Cites
GSA: A Gravitational Search Algorithm
Rashedi, E., Nezamabadi-pour, H., & Saryazdi, S. (2009) · Information Sciences · doi:10.1016/j.ins.2009.03.004 · Cited by 7,358
Dommel, H., & Tinney, W. (1968) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1968.292150 · Cited by 1,664
Optimal Load Flow with Steady-State Security
Alsac, O., & Stott, B. (1974) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1974.293972 · Cited by 1,557
Optimal power flow using particle swarm optimization
Abido, M. A. (2002) · International Journal of Electrical Power & Energy Systems · doi:10.1016/s0142-0615(01)00067-9 · Cited by 1,212
Estimating the Voltage Stability of a Power System
Kessel, P., & Glavitsch, H. (1986) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.1986.4308013 · Cited by 1,113
Momoh, J. A., Adapa, R., & El-Hawary, M. E. (1999) · IEEE Transactions on Power Systems · doi:10.1109/59.744492 · Cited by 836
BGSA: binary gravitational search algorithm
Rashedi, E., Nezamabadi-pour, H., & Saryazdi, S. (2010) · Natural Computing · doi:10.1007/s11047-009-9175-3 · Cited by 733
Optimal power flow by enhanced genetic algorithm
Bakirtzis, A. G., Biskas, P. N., Zoumas, C. E., & Petridis, V. (2002) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2002.1007886 · Cited by 661
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A survey of the optimal power flow literature
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Optimal power flow solution in power systems using a novel Sine-Cosine algorithm
Attia, A.-F., El Sehiemy, R. A., & Hasanien, H. M. (2018) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2018.01.024 · Cited by 361
Reservoir Optimization in Water Resources: a Review
Ahmad, A., El-Shafie, A., Razali, S. F. M., & Mohamad, Z. S. (2014) · Water Resources Management · doi:10.1007/s11269-014-0700-5 · Cited by 273
A novel hybrid GWO-SCA approach for optimization problems
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Metadata
- Authors
- Duman, S., Güvenç, U., Sönmez, Y., & Yörükeren, N.
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 59
- Pages
- 86-95
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W2159883961
- Cited by
- 502
- References
- 15
- FWCI
- 25.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Duman, S., Güvenç, U., Sönmez, Y., & Yörükeren, N. (2012). Optimal power flow using gravitational search algorithm. Energy Conversion and Management. https://doi.org/10.1016/j.enconman.2012.02.024
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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.
