Optimal Power Flow For Non-Smooth Cost Function Using Particle Swarm Optimization On 150 Kv System

Authors

  • Muh Rais Scopus ID: 57203101054, Departemen Electrical Engineering, Faculty of Engineering & Informatics, Patria Artha University
  • Bustamin Bustamin Departemen Electrical Engineering, Faculty of Engineering & Informatics, Patria Artha University
  • Mochammad Apriyadi Hadi Sirad Department of Electrical Engineering, Faculty of Engineering Universitas Khairun

DOI:

https://doi.org/10.33387/protk.v10i1.4709

Keywords:

Optimal power flow, Efek Valve Point, Curva cost Non-Smooth, Particle Swarm Optimization

Abstract

Optimal power flow by considering the non-smooth cost curve using the meta-heuristic algorithm method, namely particle swarm optimization (PSO) in the 150 kV Sulselrabar electrical system. In this study, the PSO algorithm was used to optimize optimal power flow so that the cheapest generation price was obtained with a non-smooth cost curve and still considered the limitations of similarity and inequality. In this study, the PSO algorithm was used to optimize optimal power flow so that the cheapest generation price was obtained with a non-smooth cost curve and still considered the limitations of similarity and inequality. From the results of generation optimization using the Particle Swarm method, it produces the cheapest generation costs from other methods, namely Rp. 93,498,916.1,- / hour to generate power of 270.14 MW with losses of 25.73 MW. The Particle Swarm Optimization (PSO) method is able to reduce the cost of generating the Sulselrabar system by Rp. 34,382,857.58 / hour or 26.89%. From the results of generation optimization using the Ant Colony method, it resulted in a total generation cost of Rp. 94670335.98 / hour to generate power of 270,309 MW with losses of 25.91 MW. The Ant Colony method is able to reduce the cost of generating the Sulselrabar system by Rp. 33,211,437.70 / hour or 25.98%. From the results of generation optimization using the lagrange method, it resulted in a total generation cost of Rp. 117,121,631.08 / hour to generate power of 339.4 MW with losses of 25,016 MW. The lagrange method is able to reduce the cost of generating the Sulselrabar system by Rp. 10,760,142.60 / hour or 8.41%. The artificial intelligence method based on Particle Swarm Optimization (PSO) can well perform optimization of Optimal Power Flow, from the results of the analysis obtained the cheapest generation cost compared to the comparison method, Lagrange Method and Ant Colony artificial intelligence method.

Downloads

Download data is not yet available.

Author Biography

Muh Rais, Scopus ID: 57203101054, Departemen Electrical Engineering, Faculty of Engineering & Informatics, Patria Artha University

Scopus ID: 57203101054, Nama : MUH. RAIS Perguruan Tinggi : Universitas Patria Artha Program Studi : Manajemen Informatika Jenis Kelamin : Laki-Laki Jabatan Fungsional : Asisten Ahli Pendidikan Tertinggi : S2 Status Ikatan Kerja : Dosen Tetap

References

N. Rajaei, M. Ahmed, and M. Salama, "A novel Newton-Raphson algorithm for power flow analysis in the presence of constant current sources," in 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2016, pp. 1-5: IEEE.

A. Eltamaly, A. A. Elghaffar, Y. Sayed Mohamed, and A.-H. M. El-Sayed, "Optimum Power Flow Analysis by Newton Raphson Method, A Case Study," 12/04 2018.

Sirad, M. A. H. (2017). Analysis of the potential of renewable energy in South Sulawesi as power electrical needs. Journal of Electrical Technology UMY, 1(4), 196-201.

Sakti, F. P., Sarjiya, S., & Hadi, S. P. (2017). Optimal power flow using flower pollination algorithm: A case study of 500 kV java-bali power system. IJITEE (International Journal of Information Technology and Electrical Engineering), 1(2), 45-50..

S. S. Reddy and P. Bijwe, "An efficient optimal power flow using bisection method," Electrical Engineering, vol. 100, no. 4, pp. 2217-2229, 2018.

D. Serhat, G. UÄŸur, M. S. Yusuf, and Y. Nuran, "Optimal power flow using gravitational search algorithm," Semantic Scholar, 2012.

S. Makmur, Y. Y. Muhammad, Y. Yusmar, and M. Muhakkir, " Analisis Aliran Daya dan Gangguan pada Jaringan Transmisi Sistem Interkoneksi Sulselbar 2015 Menggunakan Power World Simulator," Jurnal Teknik Mesin SINERGI, vol. 13, no. 2, pp. 145-147, 2015.

M. R. Djalal, M. A. Haikal, T. M. P. N. U. Pandang, and T. E. I. P. Aceh, "Penyelesaian Aliran Daya 37 Bus Dengan Metode Newton Raphson (Studi Kasus Sistem Interkoneksi 150 kV Sulawesi Selatan)," 2014.

R. D. Muhammad and F. Faisal, "Studi Kestabilan Generator Sistem Sulselrabar (Stability Study of Sulselrabar System Generator)," JEEE-U Journal of Electrical and Electronic Engineering-UMSIDA, vol. 3, no. 1, pp. 82-119, 2019.

T. Taqiyuddin and S. P. Hadi, "Studi Optimal Power Flow pada Sistem Kelistrikan 500 kV Jawa-Bali dengan Menggunakan Particle Swarm Optimization (PSO)," Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI), vol. 2, no. 3, pp. 59-64, 2013.

Sirad, M. A. H., Rais, M., Djalal, M. R., & Putri, A. N. (2018, March). Optimization of grounding resistance to minimize transient currents at 150 kV SULSELRABAR system. In 2018 International Conference on Information and Communications Technology (ICOIACT) (pp. 572-578). IEEE.

Putri, A. N., Penangsang, O., & Sirad, M. A. H. (2020, September). Power Flow Based Monitoring Of State Estimation Using The Weighted Least Square. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 408-411). IEEE.

J. Kennedy, "Particle swarm optimization," Encyclopedia of machine learning, pp. 760-766, 2010.

Sirad, M. A. H. (2018, December). Performance Optimazation Of 150 KV Transmission Tower In Jeneponto Steam Power Plant Using GIS Analysis. In 2018 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME) (pp. 203-206). IEEE.

Downloads

Additional Files

Published

2023-01-07

How to Cite

Rais, M., Bustamin, B., & Hadi Sirad, M. A. (2023). Optimal Power Flow For Non-Smooth Cost Function Using Particle Swarm Optimization On 150 Kv System. Protek : Jurnal Ilmiah Teknik Elektro, 10(1), 8–14. https://doi.org/10.33387/protk.v10i1.4709

Issue

Vol. 10 No. 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro

Section

Electrical, Power and Energy

License

Copyright & License

Copyright, licensing, and reuse terms for articles published in Protek: Jurnal Ilmiah Teknik Elektro

2. License

Creative Commons License CC BY-NC-SA 4.0 Articles in Protek are published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). Anyone may share and adapt the work under the following terms:

BY
Attribution
Give appropriate credit to the authors and the journal, link to the license, and indicate if changes were made.
NC
NonCommercial
The material may not be used for commercial purposes.
SA
ShareAlike
Adaptations must be distributed under the same license as the original.

↑ Back to Top

3. Author's Warranties

By submitting a manuscript, the author warrants that the article:

  • is original and has not been published before;
  • contains no unlawful statements;
  • does not infringe the rights of others;
  • is subject to copyright vested exclusively in the author(s); and
  • includes any necessary permissions to quote material from other sources.

↑ Back to Top

4. User Rights

Under CC BY-NC-SA 4.0, users may copy, distribute, display, and perform the work for non-commercial purposes only. When distributing the work, users must give proper credit to the authors and to Protek as the original place of publication.

↑ Back to Top

5. Rights of Authors

Authors retain all their rights to the published work, including, but not limited to:

  • Copyright and other proprietary rights relating to the article, such as patent rights;
  • Reuse of the substance of the article in their own future works, including lectures and books;
  • Reproduction of the article for their own purposes;
  • Self-archiving of the article, for example in institutional repositories or personal websites;
  • Separate agreements for the non-exclusive distribution of the article, with an acknowledgment of its first publication in Protek.

↑ Back to Top

6. Co-Authorship

If the article was prepared jointly with other authors, the submitting author warrants that they have been authorized by all co-authors to agree to these terms on their behalf, and agrees to inform the co-authors of these terms. Protek communicates only with the corresponding author and is not responsible for disputes among the authors.

↑ Back to Top

7. Royalties

The parties agree that no royalties or other fees are paid to the authors for publication. To the extent legally permissible, authors waive any claim to royalties for the publication of their article.

↑ Back to Top

8. Miscellaneous

  • Protek publishes the article in electronic form and makes it freely available to the public, without charge to readers.
  • The editors may modify the article to conform to the journal's style, including punctuation, spelling, capitalization, referencing, and usage.

Questions about copyright or licensing can be sent to protek@unkhair.ac.id. See also the Open Access Policy and Publication Ethics.

↑ Back to Top

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.