Rekonfigurasi Jaringan Distribusi Radial Menggunakan Modified Firefly Algorithms (MFA) Pada Penyulang Tanjung Rayon Jombang

DOI: https://doi.org/10.21070/jeee-u.v1i2.1064

Author (s)


(1) * Hidayatul Nurohmah   (Universitas Darul Ulum Jombang)  
        Indonesia
(2)  Agus Raikhani   (Universitas Darul Ulum Jombang)  
        Indonesia
(3)  Machrus Ali   (Universitas darul Ulum Jombang)  
        Indonesia
(*) Corresponding Author

Abstract


Abstract -  Reconfiguring a distribution network is necessary to reduce power loss and increase system reliability.Different distribution forms will affect the large power losses so that it is necessary to reset the network configuration.Reconfiguration is done by opening and closing switches on the best distribution network.The amount of feeder and bus on the network will be difficult and require a very long time if calculated manually.The repeater of Tanjung Rayon Jombang consists of 41 Buses and 44 feeders.Therefore it is necessary to solve the problem by using artificial intelligence or Artificial Intelligent (AI).Firefly Algorithms (FA) widely used research in solving the optimization problem.Modified Firefly Algorithms (MFA) is an FA modification designed to solve discrete combination optimization problems.MFAs can search for the best network reconfiguration so that it can reduce 12,0866 kWatt or 12,6881% in Cape repeater.With the end voltage before reconfiguration 0.92959 pu to 0.94072 pu.This method can later use other artificial intelligence or can be applied to other repeater, thus reducing the losses of electrical energy.


Keywords

Radial Distribution; FA; MFA; Network Reconfiguration



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References


[1.] Wu, Wu-Chang, dan Men-Shen Tsai. 2008. Konfigurasi ulang pengumpan menggunakan Binary Coding Particle Swarm Optimization. "Jurnal Internasional Pengendalian, Otomasi, dan Sistem, vol. 6, hlm. 488-494.


[2] Chen, Tsai-Hsiang dan Cherng, Jeng-Tyan, Pengaturan Tahap Optimal Transformer Distribusi Terhubung ke Pengumpan Utama untuk Peningkatan Ketidakseimbangan Sistem dan Pengurangan Rugi Menggunakan Algoritma Genetika, Transaksi IEEE pada Sistem Tenaga, Vol. 15, No. 3, Agustus 2000.


[3.] Qiwan L, Wei D, Jianquan Z, Anhui L. Pendekatan rekonfigurasi baru untuk sistem distribusi dengan generasi terdistribusi. ICEET, IEEE 2009: 23-6.


[4.] Saadat, Hadi. 1999. Analisis Sistem Tenaga. Singapura: McGrow-Hill.


[5.] Kayu, Allen J. Bruce F. Wollenberg, 1996. Operasi dan Pengendalian Tenaga Listrik. John Wiley & Sons: Kanada.


[6.] Rao RS, Ravindra K, Satish K, Narasimham SVL. Minimalisasi rugi daya pada sistem distribusi menggunakan rekonfigurasi jaringan dengan adanya generasi terdistribusi. IEEE Trans Power Syst 2013: 317-25.


[7] Vahid Farahani, Anggota Mahasiswa, IEEE, Behrooz Vahidi, Senior Member, IEEE, dan Hossein Askarian Abyaneh, Senior Member, IEEE, "Rekonfigurasi dan Penempatan Capacitor Bersamaan untuk Pengurangan Rugi Energi Berdasarkan Metode Rekonfigurasi yang Disempurnakan". Publikasi IEEE Vol. 27, No. 2, Mei 2012.


[8.] S. Lukasik dan S. Zak, "Algoritma Firefly untuk Tugas Optimasi yang Dibatasi Kontinu", Institut Riset Sistem, Akademi Ilmu Pengetahuan Polandia, 2010, hlm. 1-10.


[9.] Yang, XS (2009). "Algoritma Firefly untuk optimasi multimodal". Algoritma stokastik: Yayasan dan Aplikasi "SAGA 2009. Catatan Kuliah dalam Ilmu Komputer 5792.


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