# Electrical network power quality improvement through distributed generation optimum placement based on Breeder Genetic Algorithm method
> Yusran

URL kanonis: https://discover.unhas.ac.id/publications/electrical-network-power-quality-improvement-through-distributed-generation-opti
Jurnal / Konferensi: Proceeding 2014 Makassar International Conference on Electrical Engineering and Informatics Miceei 2014
Tahun terbit: 2014
DOI: https://doi.org/10.1109/MICEEI.2014.7067302
Citations: 10

## Authors
- Yusran

## Abstract
This paper discussed about electrical network power quality improvement through distributed generation (DG) optimum placement. The objective of DG placement was power losses reduction. The optimization was conducted with Breeder Genetic Algorithm (BGA) method. The simulation result showing that BGA method generated 3.9885 MW or 22.1863 % power losses reduction.

## Keywords
- Ball grid array
- Genetic algorithm
- Reduction (mathematics)
- Computer science
- Distributed generation
- Power (physics)
- Power quality
- Materials science
- Mathematics
- Machine learning
- Soldering
- Quantum mechanics
- Composite material
- Physics
- Geometry

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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