STUDI OPTIMAL POWER FLOW SISTEM KELISTRIKAN 500 kV JAWA BALI DENGAN METODE ALGORITMA GENETIKA

Main Authors: , YASSIR, , Sarjiya, S.T., M.T.,Ph.D.
Format: Thesis NonPeerReviewed
Terbitan: [Yogyakarta] : Universitas Gadjah Mada , 2013
Subjects:
ETD
Online Access: https://repository.ugm.ac.id/122756/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=62860
Daftar Isi:
  • Thermal generation requires fuel with the availability of an expensive dwindling and increasingly, making the cost of electricity production being increasing. Optimal Power Flow is one of several methods to solve the problem. OPF aims to minimize fuel costs while maintaining system reliability constraints. In this study, the method was applied to Genetic Algorithm to solve the problem of OPF. Active power generator, generator bus voltages, transformer tap and injection capacitor use as control variables. Effectiveness of the method was tested on IEEE 30 bus system case and its compared with the evolutionary programming (EP), differential evolution (DE), and particle swarm optimization (PSO) method. Simulation result using the proposed method reveal better result than the mentioned methods. Simulation on the Jawa-Bali 500 kV power system based on proposed method can reduce the cost 13,4% compared with the existing operation of PT. PLN (Persero).