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

Penulis

  • 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

Kata Kunci:

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

Abstrak

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.

Biografi Penulis

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

Google Scholar : MBKMrNsAAAAJ Departemen Electrical Engineering, Faculty of Engineering & Informatics Patria Artha University

Referensi

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.

Unduhan

File Tambahan

Diterbitkan

2023-01-07

Cara Mengutip

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

Terbitan

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

Bagian

PROtek : Jurnal Ilmiah Teknik Elektro

Lisensi

 

    1. Penulis menyimpan hak cipta dan memberikan jurnal hak penerbitan pertama naskah secara simultan dengan lisensi di bawah Creative Commons Attribution License yang mengizinkan orang lain untuk berbagi pekerjaan dengan sebuah pernyataan kepenulisan pekerjaan dan penerbitan awal di jurnal ini.

    1. Penulis bisa memasukkan ke dalam penyusunan kontraktual tambahan terpisah untuk distribusi non ekslusif versi kaya terbitan jurnal (contoh: mempostingnya ke repositori institusional atau menerbitkannya dalam sebuah buku), dengan pengakuan penerbitan awalnya di jurnal ini.

    1. Penulis diizinkan dan didorong untuk mem-posting karya mereka online (contoh: di repositori institusional atau di website mereka) sebelum dan selama proses penyerahan, karena dapat mengarahkan ke pertukaran produktif, seperti halnya sitiran yang lebih awal dan lebih hebat dari karya yang diterbitkan. (Lihat Efek Akses Terbuka).