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All Journal International Journal of Applied Power Engineering (IJAPE) Jurnal EECCIS SITEKIN: Jurnal Sains, Teknologi dan Industri Ngayah: Majalah Aplikasi IPTEKS MATAPPA: Jurnal Pengabdian Kepada Masyarakat RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Jambura Journal of Electrical and Electronics Engineering JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Indonesian Journal of Cultural and Community Development Jurnal Rekayasa elektrika
Muammar Zainuddin
Jurusan Teknik Elektro Fakultas Teknik, Universitas Ichsan Gorontalo
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Other

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Journal : Jurnal EECCIS

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Optimasi Injeksi Photovoltaic Distributed Generations (PVDG) Menggunakan Metode Algoritma Genetika Muammar Zainuddin; Hadi Suyono; Harry Soekotjo Dachlan
Jurnal EECCIS Vol 8, No 2 (2014)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

The best solution of the problem of electrical energy crisis in Indonesia, with the utilization of renewable energy sources that are environmentally friendly, economical, sustainable, and technically easily to implemented. The model system proposed in this paper is the Photovoltaic Distributed Generation (PVDG). This paper discuss modeling PVDG by searching injection placement and size us Genetic Algorithm. Optimization is done with the concept of the four scenarios increase the value of the injection. The scenario used was an increase in injection rate + 10%, + 20% + 30% and + 40% from the initial source of generation. The obtained results show the system ideal conditions is contained in the scenario-4. The results found that 8 locations with a variety of sizing power. PVDG scenario-4 modeling results show the ability of the system to minimize power loss from 13,15% to 1,30% and the highest voltage drop -25% to -8,5% of nominal voltage.Index Terms—Photovoltaic, Distributed Generations, PVDG, Genetic Algorithm.
Co-Authors Aprian Mokoagow Ardiwansyah Nanggong Frengki Eka Putra Surusa Hadi Suyono Haditsah Annur Harry Soekotjo Dachlan Luthfi Wiraputra Melinda Ibrahim Muhammad Asri Rosmina Hiola ST. HAISAH Suherman Suherman Susanto Ointu