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OPTIMASI PENEMPATAN DAN KAPASITAS DISTRIBUTED GENERATION PADA PENYULANG KALINGGA MENGGUNAKAN METODE GENETIC ALGORITHM
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
SALIM KHAMIM, MUHAMMAD
Satya Dini, Hasna
Febrianto Wijanarko, Rahmat
Subject
Teknik Elektro 
Datestamp
2022-11-04 08:13:56 
Abstract :
The increment of electricity distribution load affects the value of power system losses and system voltage profile. Power system losses tend to get higher as the load increase while voltage profile deviation from the nominal value becomes larger. The power loss in Kalingga Feeder is 3.82% of the power generation, making it necessary to have a mitigation plan to overcome the losses issue. Installation of Distributed Generation is a way to mitigate the power losses in the distribution system. Determining Distributed Generation location and capacity can be done using the Genetic Algorithm method. Based on the results of optimization using the genetic algorithm method, the optimum value of Distributed Generation shall be installed in bus 11 (2.86MW), bus 21 (2.83MW) and bus 26 (2.89MW). The installation of Distributed Generation on the Kalingga Feeder has successfully reduced the power loss to 1.04%. The maximum and minimum voltage profiles can be maintained between 18.70 kV to 19.30kV. 
Institution Info

Institut Teknologi Perusahaan Listrik Negara