TY - GEN
T1 - Distribution Network Reconfiguration with Binary Particle Swarm Optimization to Reduce Power Loss in Kuta
AU - Firdaus, Aji Akbar
AU - Soeprijanto, Adi
AU - Priyadi, Ardyono
AU - Putra, Dimas Fajar Uman
AU - Aryani, Ni Ketut
AU - Dina, Nasa Zata
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The distribution system has several problems such as power losses and voltage drop. This problem also occurs in the 20 kV Kuta distribution system. Therefore, network reconfiguration and planning are needed to overcome the problem of power losses and voltage drop. In this study, reconfiguration was carried out on the 20kV Kuta distribution network system using the Binary Particle Swarm Optimization (BPSO), which aims to reduce power losses in the network. Next, the newton-raphson method in the Matpower 7.1 plugin is used to calculate the power flow. From the simulation results, before reconfiguration, the power loss results are 44.283 kW and 13.187 kVAR during non-peak load conditions, while the peak load time conditions are 51.087 kW and 14.711 kVAR. After network reconfiguration, the active and reactive power losses decreased to 27.489 kW and 10.64 kVAR for non-peak load (NPL) conditions, 31.21 kW and 13.654 kVAR for peak load (PL) conditions.
AB - The distribution system has several problems such as power losses and voltage drop. This problem also occurs in the 20 kV Kuta distribution system. Therefore, network reconfiguration and planning are needed to overcome the problem of power losses and voltage drop. In this study, reconfiguration was carried out on the 20kV Kuta distribution network system using the Binary Particle Swarm Optimization (BPSO), which aims to reduce power losses in the network. Next, the newton-raphson method in the Matpower 7.1 plugin is used to calculate the power flow. From the simulation results, before reconfiguration, the power loss results are 44.283 kW and 13.187 kVAR during non-peak load conditions, while the peak load time conditions are 51.087 kW and 14.711 kVAR. After network reconfiguration, the active and reactive power losses decreased to 27.489 kW and 10.64 kVAR for non-peak load (NPL) conditions, 31.21 kW and 13.654 kVAR for peak load (PL) conditions.
KW - BPSO
KW - Kuta
KW - distribution network
KW - losses
UR - http://www.scopus.com/inward/record.url?scp=85137864787&partnerID=8YFLogxK
U2 - 10.1109/ISITIA56226.2022.9855345
DO - 10.1109/ISITIA56226.2022.9855345
M3 - Conference contribution
AN - SCOPUS:85137864787
T3 - 2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
SP - 332
EP - 337
BT - 2022 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Y2 - 20 July 2022 through 21 July 2022
ER -