
OPTIMASI PEMASANGAN KAPASITOR PADA SISTEM JARINGAN LISTRIK DISTRIBUSI DI BALI MENGGUNAKAN METODE QUANTUM GENETIC ALGORITHM
Author(s) -
Maria Gusti Agung Ayu Permata,
Antonius Ibi Weking,
Wahyu Setiawan
Publication year - 2019
Publication title -
jurnal spektrum
Language(s) - English
Resource type - Journals
eISSN - 2302-3163
pISSN - 2684-9186
DOI - 10.24843/spektrum.2019.v06.i01.p14
Subject(s) - capacitor , ac power , voltage , genetic algorithm , power factor , electrical engineering , power (physics) , computer science , control theory (sociology) , automotive engineering , physics , mathematics , engineering , mathematical optimization , control (management) , quantum mechanics , artificial intelligence
This study optimized the installation of capacitors on the distribution grid system in Penyabangan feeder, Singaraja, Bali using the Quantum Genetic Algorithm method to reduce the impact of increasing reactive currents. This feeder, consisting of 162 buses in which 62 buses are directly connected to the load and 5 buses are connected to medium voltage cosumers. The results of this study are obtained by the capacity of capacitors installed in 31 buses that have a power factor value less than the permitted limit and the power loss values decrease from 0,0674 MW and 0,0546 MVAr to 0,0543 MW and 0,0442 MVAr.