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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review
Electrical network power quality improvement through distributed generation optimum placement based on Breeder Genetic Algorithm method
Yusran
Proceeding 2014 Makassar International Conference on Electrical Engineering and Informatics Miceei 2014
Published: 2014Citations: 10
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.
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10.1109/MICEEI.2014.7067302Other files and links
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