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Optimasi Penempatan Distributed generation dan Kapasitor Bank Berbasis Particle Swarm Optimization untuk Meningkatkan Kinerja Sistem Distribusi Kota Sabang Muhajir; Suriadi, Suriadi; Melinda, Melinda
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5343

Abstract

The Sabang electricity system is an isolated grid system that relies on diesel power plants with long distribution lines, which can cause high losses and voltage drops. This study aims to find the optimal placement of Distributed Generation (DG) and capacitors using Particle Swarm Optimization (PSO) Method to reduce losses and voltage deviation, with a voltage limit of 5% on a 20 kV system. Simulation results show that without DG and capacitors, losses reach 26 kW at peak load and 24.4 kW at normal load, with low voltages at some buses. After optimization, the combined use of DG and capacitors reduces losses by 50.82% at normal load and 51.15% at peak load. The voltage profile also improves by about 200 - 350 V at each bus, bringing it closer to the nominal value of 20 kV. Compared with Genetic Algorithm (GA), PSO provides better results, with 0.45 - 3.79% lower active power losses and 0 - 7.40% lower reactive power losses. This proves that PSO is effective in improving the efficiency, voltage quality, and reliability of isolated distribution systems.Keywords – Distributed generation (DG), Losses, Particle Swarm Optimization (PSO), Renewable Energy
Desain Sistem Fuel Cell sebagai Sumber Alternatif Mobil Listrik Ajir, Muhajir; Sara, Ira Devi
Jurnal Energi Baru dan Terbarukan Vol 7, No 1 (2026): Maret 2026
Publisher : Program Studi Magister Energi, Sekolah Pascasarjana, Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jebt.2026.31421

Abstract

Peningkatan emisi CO₂ global dan tingginya konsumsi bahan bakar fosil pada sektor transportasi mendorong pengembangan teknologi kendaraan ramah lingkungan. Penelitian ini bertujuan untuk merancang sistem Fuel Cell sebagai sumber energi alternatif pada mobil listrik guna memenuhi kebutuhan daya kendaraan secara optimal dan berkelanjutan. Objek penelitian menggunakan spesifikasi mobil listrik Nissan Leaf S dengan kebutuhan daya maksimum 110 kW. Jenis fuel cell yang digunakan adalah Proton Exchange Membrane Fuel Cell (PEMFC) yang beroperasi pada suhu 60 - 80°C. Perancangan dilakukan melalui perhitungan parameter listrik stack meliputi tegangan, arus, resistansi internal, serta analisis kebutuhan daya kendaraan pada kondisi jalan mendatar, menanjak, dan menurun. Hasil perhitungan menunjukkan bahwa satu sel menghasilkan tegangan open circuit sebesar 1,17 V dan tegangan kerja 0,8 V. Dengan konfigurasi 505 sel diperoleh tegangan stack sebesar 404 V dan arus 276,23 A sehingga menghasilkan daya maksimum 111,5 kW. Hasil simulasi Matlab Simulink menunjukkan sistem mampu memenuhi kebutuhan daya kendaraan baik pada kondisi normal maupun variasi kemiringan jalan. Penelitian ini membuktikan bahwa desain sistem Fuel Cell yang dirancang layak digunakan sebagai sumber energi alternatif mobil listrik dengan performa yang stabil dan efisien.
Sistem Keamanan Peternakan Ayam Petelur Menggunakan Sumber Daya Panel Surya Sabriansyah, Dandi; ., Muhajir
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15621

Abstract

The security of laying hen farms in remote areas without access to PLN electricity remains a major problem due to the high risk of theft and predation. This study designs a solar energy-based security system for laying hen farms in areas without access to PLN electricity. The system integrates a laser sensor - LDR as an intrusion detector, Arduino Nano as a controller, ESP32-CAM for visual monitoring, and a buzzer as an alarm, with a 20 WP solar panel power supply and a 12 V 10 Ah battery. An event-driven approach is applied to activate the camera and alarm only when a disturbance occurs. The test results show a 100% detection success rate with an average response time of 0.38 seconds and a false positive rate of less than 2%. The system's power consumption is 0.52 W in standby mode and 2.2 W at peak load, with a daily energy requirement of approximately 25.3 Wh that can be met by the solar panel. This system is effective and feasible to be implemented in small to medium-scale laying hen farms in remote areas.