TY - GEN
T1 - Optimal capacitor placement and sizing in radial distribution system using accelerated particle swarm optimization
AU - Basyarach, Niken Adriaty
AU - Penangsang, Ontoseno
AU - Soeprijanto, Adi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/28
Y1 - 2017/11/28
N2 - In this study, the problems are how to determine the locations and the size of capacitors in the buses of radial distribution system. The proposed method uses loss sensitivity factors (LSF) to identify the buses requiring compensation and then an accelerated particle swarm optimization (APSO) algorithm is used to determine the sizes of the capacitors to be installed. The proposed method is tested on 84 distribution systems. Absolutely, it is compared with PSO algorithm to find out the performance of convergence. By using proposed method, it could reach 99.79 second computational time. It showed that proposed method has good performance of convergence than PSO algorithm.
AB - In this study, the problems are how to determine the locations and the size of capacitors in the buses of radial distribution system. The proposed method uses loss sensitivity factors (LSF) to identify the buses requiring compensation and then an accelerated particle swarm optimization (APSO) algorithm is used to determine the sizes of the capacitors to be installed. The proposed method is tested on 84 distribution systems. Absolutely, it is compared with PSO algorithm to find out the performance of convergence. By using proposed method, it could reach 99.79 second computational time. It showed that proposed method has good performance of convergence than PSO algorithm.
KW - Accelerated particle swarm optimization (APSO)
KW - Capacitor placement
KW - Loss sensitivity factors (LSF)
KW - Radial distribution system
UR - https://www.scopus.com/pages/publications/85043508728
U2 - 10.1109/ISITIA.2017.8124061
DO - 10.1109/ISITIA.2017.8124061
M3 - Conference contribution
AN - SCOPUS:85043508728
T3 - 2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
SP - 93
EP - 97
BT - 2017 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017
Y2 - 28 August 2017 through 29 August 2017
ER -