Jurnal EECCIS
Vol 8, No 2 (2014)

Optimasi Injeksi Photovoltaic Distributed Generations (PVDG) Menggunakan Metode Algoritma Genetika

Muammar Zainuddin (Jurusan Teknik Elektro Fakultas Teknik, Universitas Ichsan Gorontalo)
Hadi Suyono (Jurusan Teknik Elektro Fakultas Teknik Universitas Brawijaya)
Harry Soekotjo Dachlan (Jurusan Teknik Elektro Fakultas Teknik Universitas Brawijaya)



Article Info

Publish Date
20 Aug 2014

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.

Copyrights © 2014






Journal Info

Abbrev

EECCIS

Publisher

Subject

Engineering

Description

EECCIS is a scientific journal published every six month by electrical Department faculty of Engineering Brawijaya University. The Journal itself is specialized, i.e. the topics of articles cover electrical power, electronics, control, telecommunication, informatics and system engineering. The ...