OPTIMASI PENEMPATAN DAN KAPASITAS DISTRIBUTED GENERATION PADA PENYULANG KALINGGA MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
YUSUF PUTRA VIANDHI, ZUFAR
Satya Dini, Hasna
Febrianto Wijanarko, Rahmat
Satya Dini, Hasna
Febrianto Wijanarko, Rahmat
Subject
Teknik Elektro
Datestamp
2022-11-04 03:27:57
Abstract :
The need for electricity every year always increases this is in line with the development that occurs, therefore, a more optimal distribution of electricity is needed, one way is to install Distributed Generation. The installation of Distributed Generation can reduce power loss that occurs on the line and can increase the voltage profile on the bus. This study was conducted to determine the location of placement and capacity of Distributed Generation in an effort to reduce power loss and improve the voltage profile in Kalingga Refiners. To find out the placement location and capacity of the Distributed Generation, Particle Swarm Optimization is used in the MATLAB software in an effort to find the placement location and capacity of the Distributed Generation. Based on the search conducted by Particle Swarm Optimization, the optimal number of Distributed Generation installers was obtained totaling 3 units and the placement location of the Distributed Generation was on bus U.536 / PD085; U.228/PDX007; U.624/PD097. The capacity in the Distributed Generation was successfully determined where each unit was 2,031 MW; 2,031 MW and 2,031 MW. Power loss on the network was successfully reduced by 312.49 kW.
The need for electricity every year always increases this is in line with the development that occurs, therefore, a more optimal distribution of electricity is needed, one way is to install Distributed Generation. The installation of Distributed Generation can reduce power loss that occurs on the line and can increase the voltage profile on the bus. This study was conducted to determine the location of placement and capacity of Distributed Generation in an effort to reduce power loss and improve the voltage profile in Kalingga Refiners. To find out the placement location and capacity of the Distributed Generation, Particle Swarm Optimization is used in the MATLAB software in an effort to find the placement location and capacity of the Distributed Generation. Based on the search conducted by Particle Swarm Optimization, the optimal number of Distributed Generation installers was obtained totaling 3 units and the placement location of the Distributed Generation was on bus U.536 / PD085; U.228/PDX007; U.624/PD097. The capacity in the Distributed Generation was successfully determined where each unit was 2,031 MW; 2,031 MW and 2,031 MW. Power loss on the network was successfully reduced by 312.49 kW.
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