Best : Journal of Applied Electrical, Science and Technology
Vol 1 No 1 (2019): BEST

GENERATOR FUEL COST OPTIMIZATION USING ANT COLONY ALGORITHM

Suryawati, Indri (Unknown)
Rochman, Sagita (Unknown)



Article Info

Publish Date
09 Sep 2019

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.

Copyrights © 2019






Journal Info

Abbrev

best

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

Description

A Journal that contain Applied Electrical, Science & Technology. Published twice a year, in March and September. P-ISSN: 2715-2871(print), and E-ISSN: 2714-5247 ...