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All Journal Jurnal Sains dan Teknologi Jurnal Simetris Martabe : Jurnal Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Journal of Energy and Electrical Engineering (JEEE) JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Fuse-teknik Elektro Jurnal Pengabdian Masyarakat Indonesia
Risnandar, Muhammad Aris
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Social Sciences Other

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Journal : Fuse-teknik Elektro

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Optimasi Pengembangan Express Feeder pada Jaringan Distribusi untuk Mengurangi Drop Voltage Menggunakan Particle Swarm Optimization Syaepul Alam, Dendi; Busaeri, Nundang; Risnandar, Muhammad Aris
Fuse-teknik Elektro Vol 5 No 1 (2025): Fuse-teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jft.v5i1.42659

Abstract

Drop voltage is one of the main problems in the distribution system which has an impact on reducing the quality of voltage received by customers. This research aims to reduce voltage drop in the distribution system according to the standard voltage drop tolerance limit of 5% set in SPLN 72: 1987 on the CLDG extension by applying the Particle Swarm Optimization (PSO) optimization method in the development of express feeders. The CLDG feeder has a radial network topology with a channel length of 32.75 km with loads spread along the network. The simulation process was carried out to analyze the existing conditions and after optimization, using Backward Forward Sweep (BFS) power flow with the help of MATLAB R2023b software for its application and validated using ETAP 19.0.1. The results showed that PSO successfully determined the optimal location of express feeder development from bus B01 to bus B18, with the placement of a new LBS at bus B17. This development reduced the number of critical buses from 52 to 16 buses, and the maximum voltage drop from 9.86% to 6.67%.
Pengembangan Express Feeder pada Penyulang CLDG Tasikmalaya dengan Metode Particle Swarm Optimization untuk Mengurangi Rugi Daya Maulana, Bani; Busaeri, Nundang; Risnandar, Muhammad Aris
Fuse-teknik Elektro Vol 5 No 2 (2025): Fuse-teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

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Abstract

The electrical power distribution system plays a crucial role in delivering reliable and efficient energy to consumers. One of the main challenges in its operation is the high level of power losses that occur during the distribution process. To address this issue, this study applies a network reconfiguration method by adding an express feeder to the CLDG Tasikmalaya feeder to reduce power losses. The optimization method used is Particle Swarm Optimization (PSO), an algorithm inspired by the social behavior of bird or fish swarms in finding the best solution. Each particle searches for an optimal position (Pbest), and others follow the global best solution (Gbest). Power flow analysis is performed using the Backward Forward Sweep (BFS) method, implemented in MATLAB 2024a and validated with ETAP 19.0.1. The BFS method constructs BIBC and BCBV matrices based on network topology. As a result, power losses were reduced from 450.485 kW to 245.1011 kW after reconfiguration.
Optimasi Sistem Distribusi melalui Penempatan Express Feeder Menggunakan Algoritma Genetika untuk Mengurangi Rugi Daya Syauqil Aman, Rizaldi; Priatna, Edvin; Risnandar, Muhammad Aris
Fuse-teknik Elektro Vol 5 No 2 (2025): Fuse-teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

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Abstract

Power losses in distribution systems are one of the main problems affecting the efficiency of electricity distribution. This study aims to minimize power losses through the installation of express feeders and new load break switches (LBS). The optimization method used to determine the optimal location for installation is the Genetic Algorithm. The Genetic Algorithm and power flow calculations were implemented using MATLAB 2024a software, followed by a validation process comparing the power flow results from MATLAB 2024a with simulation results from ETAP 19.0.1 software. The case study was applied to the CLDG distribution system, comparing the existing conditions with the conditions after optimization. The simulation results for the existing conditions showed a total power loss of 554.109 kW. After applying optimization using the genetic algorithm method to determine the optimal locations for the express feeder and new LBS, power losses were successfully minimized to 308.4 kW. These results demonstrate that installing the express feeder and new LBS using the genetic algorithm method is an effective solution for minimizing power losses in the distribution system.
Co-Authors Aceng Sambas, Aceng Andri Ulus Rahayu Asep Andang, Asep Busaeri, Nundang Edvin Priatna Faridah, Linda firmansyah maualana sugiartana nursuwars Imam Taufiqurrahman Laksmini, Puji Maulana, Bani Nugraha, Asep Tri Mulyana Nurdiansyah, Rian Nurul Hiron, Nurul Permana, Prama Priyatama, Muhammad Raka Supriyono, Yusup Sutisna Sutisna Syaepul Alam, Dendi Syauqil Aman, Rizaldi Tikupasang, Enov Ula, Shofiatul