Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Best : Journal of Applied Electrical, Science and Technology
Indri Suryawati
Departement of Electrical Engineering, Faculty of Industry Engineering, Institut Teknologi Sepuluh November, Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
GENERATOR FUEL COST OPTIMIZATION USING ANT COLONY ALGORITHM Suryawati, Indri; Rochman, Sagita
BEST Vol 1 No 1 (2019): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol1.no1.1988

Abstract

Ant Colony Algorithm (ACA) is an optimization algorithm was inspired by ant behavior when searching for the shortest distance from the food center. In this study, ACA is used for power plants with a fuel cost fitness function. ACA can search destinations faster than conventional methods such as Lagrange. In this study ACA used the optimal power flow of six power plants in the Java Bali 500 KV system, the optimization results reduced fuel costs by 23% and Lagrange 17.4% compared to real conditions.
Co-Authors Sagita Rochman