Prayogo, Christopher Theophilus and Zebua, Osea and Hasan, Khairudin (2019) Optimasi Kapasitas Bank Kapasitor Untuk Mereduksi Rugi-Rugi Daya Pada Penyulang Wortel Menggunakan Metode Grey Wolf Optimizer (GWO). ELECTRICIAN – Jurnal Rekayasa dan Teknologi Elektro, 13 (3). pp. 61-68. ISSN 2549-3442

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Long distance between the electricity supply side and the consumer side (load) on the distribution network can cause problems such as increasing power losses along the line and voltage drop. Installing capacitors is one solution to minimize power losses while improving the voltage profile. The aim of this research is to find the optimal capacity value of several capacitor banks installed in the distribution network to minimize active power losses using the Grey Wolf Optimizer (GWO) method. The location of the capacitor bank placement is determined by using the Loss Sensitivity Factor (LSF) method. The case study used is a 20 kV distribution network of Wortel Feeders, in Menggala substation, Lampung Province. Simulation of determining the placement location and optimization of capacitor banks capacity is performed using MATLAB software. The simulation results show that the location of four capacitor banks using the LSF method is on buses 42, 51, 58 and 60 and the optimal capacitor bank capacity on those buses obtained using the GWO method are 0.15 MVAR, 0.45 MVAR, 0.15 MVAR, and 0.15 MVAR, respectively. The active power losses obtained after the installation of capacitor bank are equal to 0.1041 MW or reduced by 23% from the value of active power losses before the installation of capacitor bank which is 0.1352 MW. The minimum voltage value obtained after the installation of capacitor bank is 0.94 pu and improves the voltage profile of the minimum voltage value before the installation of capacitor bank which is equal to 0.916 pu.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: OSEA ZEBUA
Date Deposited: 08 Nov 2019 10:29
Last Modified: 08 Nov 2019 10:29

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