Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO)

Authors

  • Machrus Ali Universitas Darul Ulum
  • Hidayatul Nurohmah Universitas Darul Ulum
  • Dwi Ajiatmo Universitas Darul Ulum

DOI:

https://doi.org/10.32492/jeetech.v3i1.3108

Keywords:

Kecerdasan Buatan, BPSO, Konfigurasi Ulang Jaringan, Rugi Daya

Abstract

The configuration of a radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, The feeder of Purwoasri, Rayon Kertosono has 65 buses which cause the Mojokerto area to have a very large loss so it needs to be reconfigured.. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until a configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze its power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. Before reconfiguration, the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 % from the previous loss.

Author Biographies

Machrus Ali, Universitas Darul Ulum

Teknik Elektro, Universitas Darul Ulum, Jombang, Indonesia

Hidayatul Nurohmah, Universitas Darul Ulum

Teknik Elektro, Universitas Darul Ulum, Jombang, Indonesia

Dwi Ajiatmo, Universitas Darul Ulum

Teknik Elektro, Universitas Darul Ulum, Jombang, Indonesia

References

J. Y. Park, J. M. Sohn, and J. K. Park, “Optimal capacitor allocation in a distribution system considering operation costs,” IEEE Trans. Power Syst., vol. 24, no. 1, pp. 462–468, 2009, doi: 10.1109/TPWRS.2008.2009489.

J. H. Teng, “A network-topology-based three-phase load flow for distribution systems,” Proc. Natl. Sci. Counc. Repub. China, Part A Phys. Sci. Eng., vol. 24, no. 4, pp. 259–264, 2000.

V. Farahani, B. Vahidi, and H. A. Abyaneh, “Reconfiguration and capacitor placement simultaneously for energy loss reduction based on an improved reconfiguration method,” IEEE Trans. Power Syst., vol. 27, no. 2, pp. 587–595, 2012, doi: 10.1109/TPWRS.2011.2167688.

J. William D Stevenson, “Analisis Sistem Tenaga Listrik,” Erlangga, p. 2004, 1984.

Y. G. Hartlambang, H. Nurohmah, and M. Ali, “Optimasi Kecepatan Motor DC Menggunakan Algoritma Kelelawar (Bat Algorithm),” in SEMANTIKOM 2017, Universitas Madura, 2017, pp. 1–8. [Online]. Available: http://semantikom.unira.ac.id/2017/SEMANTIKOM_2017_paper_2.pdf

H. Nurohmah, “Desain Frekuensi Kontrol pada Hibrid Wind-Diesel Dengan PID – Imperialist Competitive Algorithm ( ICA ),” J. Intake, vol. 6, no. 2, pp. 38–45, 2015.

G. A. Setia, F. Haz, and G. H. M. Sianipar, “Performa Metode Aliran Daya Fast Decoupled di Jaringan Distribusi,” JTERA (Jurnal Teknol. Rekayasa), vol. 3, no. 2, p. 249, 2018, doi: 10.31544/jtera.v3.i2.2018.249-254.

M. Ali, I. Umami, and H. Sopian, “Optimisasi Steering Control Mobil Listrik Auto-Pilot Menggunakan Metode Ant Colony Optimization (ACO),” J. Intake, vol. 6, no. 1, pp. 34–50, 2015, [Online]. Available: http://ejournal.undar.ac.id/index.php/intake/article/view/367

V. Kusuma Apsari, M. Ali, H. Nurohmah, and R. Rukslin, “Desain Optimasi PID Controller Pada Temperatur Heating Furnace Berbasis Ant Colony Algorithm (ACO),” J. FORTECH, vol. 2, no. 2, pp. 57–62, 2023, doi: 10.56795/fortech.v2i2.204.

M. Ali, D. Ajiatmo, and M. Djalal, “Aplikasi Modified-Imperialist-Competitive-Algorithm (MICA) Untuk Merekonfigurasi Jaringan Radial Tenaga Listrik Pada Penyulang Mojoagung,” JEEE-U, vol. 1, no. 2, pp. 17–20, 2017, doi: 10.21070/jeee-u.v1i2.1020.

M. Choiruddin, Choiruddin; Ridhwan, Fauzi, Ahmad; Muhlasin, Muhlasin; Nurohmah, Hidayatul; Ali, “Rekonfigurasi Jaringan Distribusi Tenaga Listrik Penyulang Benteng Berbasis MICA,” SinarFe7, vol. 1, no. 1, pp. 112–116, 2018.

H. Sufitrihansyah, M. A. Rofiq, D. Ajiatmo, and M. Ali, “Penggunaan Binary Particle Swarm Optimization untuk Rekonfigurasi Jaringan Tenaga Listrik pada Penyulang Meri,” Prosiding-1 Semin. Nas. Foertei7 -1 2018, vol. 1, no. 1, pp. 134–138, 2018.

A. Cahyono, H. K. Hidayat, S. Arfaah, and M. Ali, “Rekonfigurasi Jaringan Distribusi Radial Untuk Mengurangi Rugi Daya Pada Penyulang Jatirejo Rayon Mojoagung Menggunakan Metode Binary Particle Swarm Optimization (BPSO),” in SAINTEK II-2017, UB, Malang, Universitas Brawijaya, Malang, 2017, pp. 103–106. [Online]. Available: http://saintek.ub.ac.id/prosiding/e20.pdf

D. Wang, D. Tan, and L. Liu, “Particle swarm optimization algorithm: an overview,” Soft Comput., vol. 22, no. 2, pp. 387–408, 2018, doi: 10.1007/s00500-016-2474-6.

M. Ali, Muhlasin, H. Nurohmah, A. Raikhani, H. Sopian, and N. Sutantra, “Combined ANFIS method with FA, PSO, and ICA as Steering Control Optimization on Electric Car,” in 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), IEEE, Oct. 2018, pp. 299–304. doi: 10.1109/EECCIS.2018.8692885.

Published

2022-07-28

How to Cite

[1]
M. Ali, H. Nurohmah, and D. Ajiatmo, “Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO)”, jeetech, vol. 3, no. 1, pp. 57-61, Jul. 2022.