TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improvement of voltage profile for large scale power system using soft computing approach
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improvement of voltage profile for large scale power system using soft computing approach
Improvement of voltage profile for large scale power system using soft computing approach
Subject
JAMALI 500 kV, Power loss, Reactive power, Shunt capacitor
Description
In modern power system operation, control, and planning, reactive power as part of power system component is very important in order to supply electrical load such as an electric motor. However, the reactive current that flows from the generator to load demand can cause voltage drop and active power loss. Hence, it is essential to install a compensating device such as a shunt capacitor close to the load bus to improve the voltage profile and decrease the total power loss of transmission line system. This paper presents the application of a genetic algorithm (GA), particle swarm optimization (PSO), and artificial
bee colony (ABC)) to obtain the optimal size of the shunt capacitor where those capacitors are located on the critical bus. The effectiveness of the proposed technique is examined by utilizing Java-Madura-Bali (JAMALI) 500 kV power system grid as the test system. From the simulation results, the PSO and ABC algorithms are providing satisfactory results in obtaining the capacitor size and can reduce the total power loss of around 15.873 MW. Moreover, a different result is showed by the GA approach where the power loss in the JAMALI 500kV power grid can be compressed only up to 15.54 MW or 11.38% from the power system operation without a shunt capacitor. The three soft computing techniques could also maintain the voltage profile within 1.05 p.u and 0.95 p.u.
bee colony (ABC)) to obtain the optimal size of the shunt capacitor where those capacitors are located on the critical bus. The effectiveness of the proposed technique is examined by utilizing Java-Madura-Bali (JAMALI) 500 kV power system grid as the test system. From the simulation results, the PSO and ABC algorithms are providing satisfactory results in obtaining the capacitor size and can reduce the total power loss of around 15.873 MW. Moreover, a different result is showed by the GA approach where the power loss in the JAMALI 500kV power grid can be compressed only up to 15.54 MW or 11.38% from the power system operation without a shunt capacitor. The three soft computing techniques could also maintain the voltage profile within 1.05 p.u and 0.95 p.u.
Creator
Muhammad Abdillah, Herlambang Setiadi, Danang Sulistyo
Source
DOI: 10.12928/TELKOMNIKA.v18i1.13379
Publisher
Universitas Ahmad Dahlan
Date
February 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Muhammad Abdillah, Herlambang Setiadi, Danang Sulistyo, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improvement of voltage profile for large scale power system using soft computing approach,” Repository Horizon University Indonesia, accessed March 15, 2025, https://repository.horizon.ac.id/items/show/3566.
Improvement of voltage profile for large scale power system using soft computing approach,” Repository Horizon University Indonesia, accessed March 15, 2025, https://repository.horizon.ac.id/items/show/3566.