Open Access
Issue |
ITM Web Conf.
Volume 65, 2024
International Conference on Multidisciplinary Approach in Engineering, Technology and Management for Sustainable Development: A Roadmap for Viksit Bharat @ 2047 (ICMAETM-24)
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Article Number | 04003 | |
Number of page(s) | 6 | |
Section | Electricals and Electronics Engineering | |
DOI | https://doi.org/10.1051/itmconf/20246504003 | |
Published online | 16 July 2024 |
- Abou El Ela, A. A., Abido, M. A., and Spea, S. R., “Optimal power flow using differential evolution algorithm,” Electrical Engineering, Vol. 91, pp. 69–78, 2009. [CrossRef] [Google Scholar]
- Frank, S., Steponavice, I., and Rebennack, S., “Optimal power flow: a bibliographic survey-I Formulations and deterministic methods,” Energy System, Vol. 3, No. 3, pp. 221–258, 2012. [CrossRef] [Google Scholar]
- Frank, S., Steponavice, I., and Rebennack, S., “Optimal power flow: a bibliographic survey-II Non-deterministic and hybrid methods,” Energy System, Vol. 3, No. 3, pp. 259–289, 2012. [CrossRef] [Google Scholar]
- A. J. Wood and B. F. Wollenberg, “Power Generation Operation and Control”, Wiley and Sons, 1996. [Google Scholar]
- Mirjalili, S., and Hashim, S. Z. M., “A new hybrid PSOGSA algorithm for function optimization” International Conference on Computer and Information Application (ICCIA 2010), pp. 374–377, Tianjin, China, 3-5 December 2010. [Google Scholar]
- Mirjalli, S., Hashim, S. Z. M., and Sardroudi, H. M., “Training feedforward neural networks using hybrid particle swarm and gravitational search algorithm” Applied Mathematics Computation Vol. 218, pp. 11125–11137, 2012. [CrossRef] [MathSciNet] [Google Scholar]
- Abido, M. A. at all, “Optimal power flow using particle swarm optimization,” Electrical Power Energy System, Vol. 24, pp. 563–571, 2002. [CrossRef] [Google Scholar]
- Rashedi E., Nezamabadi-pour H., and Saryazdi S. “GSA: A gravitational search algorithm,” Information Science, Vol. 179, pp. 2232–2248, 2009. [CrossRef] [Google Scholar]
- Esmat Rashedi, Hossien Nezamabadi-pour, Saeid Saryazdi, Malihe M. Farsangi. “Allocation of Static Var Compensator Usin Gravitational Search Algorithm” First Joint Congress on Fuzzy and Intelligent Systems Ferdowsi University of Mashhad. 2007: 29–31. [Google Scholar]
- S S. Duman, U. Güvenç, N. Yörükeren. “Gravitational Search Algorithm for Economic Dispatch with Valve-point Effects” International Review of Electrical Engineering. 2005; 5(6): 2890–2895. [Google Scholar]
- Purwoharjono, Ontoseno Penangsang, Muhammad Abdillah dan Adi Soeprijanto. “Voltage Control on Java-Bali 500kV Electrical Power System for Reducing Power Losses Using Gravitational Search Algorithm”. International Conference on Informatics and Computational Intelligence (ICI). 2011: 11–17. [Google Scholar]
- Serhat Duman, Yusuf Sonmez, Ugur Guvenc, dan Nuran Yorukeren “Application of Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problem”. IEEE. 2011. [Google Scholar]
- Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, “Optimal Placement and Sizing of Thyristor-controlledseries-capacitor using Gravitational Search Algorithm” TELKOMNIKA Indonesian Journal of Electrical Engineering Vol.10, No.5, September 2012, pp. 891–904. [CrossRef] [Google Scholar]
- Mirjalili, S., and Hashim, S. Z. M., “A new hybrid PSOGSA algorithm for function optimization,” International Conference on Computer and Information Application (ICCIA 2010), pp.374–377, Tianjin, China, 3-5 December 2010. [Google Scholar]
- Mirjalli, S., Hashim, S. Z. M., and Sardroudi, H. M., “Training feedforward neural networks using hybrid particle swarm and gravitational search algorithm,” Applied Mathematics Computation, Vol. 218, pp. 11125–11137, 2012. [CrossRef] [MathSciNet] [Google Scholar]
- Roy, P. K., and Paul, C., “Optimal power flow using krill herd algorithm,” Int. Trans. Electrical Energy System, DOI: 10.1002/etep.1888, 2014. [Google Scholar]
- Bouchekara, H. R. E. H., Abido, M. A., and Boucherma, M., “Optimal power flow using teaching–learning-based optimization technique,” Electrical Power System Res., Vol. 114, pp. 49–59, 2014. [CrossRef] [Google Scholar]
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