TY - GEN
T1 - Distribution Network Dynamic Reconfiguration Using Grasshopper Optimization Algorithm with Wind Turbine Injection to Minimize Power Loss
AU - Putra, Dimas Fajar Uman
AU - Zahra, Shafira
AU - Yunardi, Riky Tri
AU - Firdaus, Aji Akbar
AU - Adinda, Eunike Widya
AU - Dwiajeng, Nanda Robi
AU - Aryani, Ni Ketut
AU - Agustian, Muhammad Rangga Dwi
AU - Rohiem, Nasyith Hananur
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The distribution system develops more complex, especially with mining renewable energy as a Distributed Generator (DG), such as power losses. This problem can be solved by performing a dynamic reconfiguration that considers changes in load and renewable energy. Dynamic reconfiguration using the Grasshopper Optimization Algorithm (GOA) was tested on the 20 kV ULP Teluk Betung network to minimize power losses. There are three conditions to consider when the distribution network is connected without DG, connected with DG, and a comparison of the results between connected and connected without DG. After network reconfiguration and the addition of DG, the simulation results found that the active and reactive power losses decreased by 25.08% and 24.98%, with values of 3153.55 kW and 5596.60 kVAR against the initial configuration.
AB - The distribution system develops more complex, especially with mining renewable energy as a Distributed Generator (DG), such as power losses. This problem can be solved by performing a dynamic reconfiguration that considers changes in load and renewable energy. Dynamic reconfiguration using the Grasshopper Optimization Algorithm (GOA) was tested on the 20 kV ULP Teluk Betung network to minimize power losses. There are three conditions to consider when the distribution network is connected without DG, connected with DG, and a comparison of the results between connected and connected without DG. After network reconfiguration and the addition of DG, the simulation results found that the active and reactive power losses decreased by 25.08% and 24.98%, with values of 3153.55 kW and 5596.60 kVAR against the initial configuration.
KW - Grasshopper Optimization Algorithm (GOA)
KW - distribution systems
KW - dynamic network reconfiguration
KW - power losses
KW - wind turbines
UR - http://www.scopus.com/inward/record.url?scp=85171193440&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221003
DO - 10.1109/ISITIA59021.2023.10221003
M3 - Conference contribution
AN - SCOPUS:85171193440
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 522
EP - 527
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -
