Keandalan sistem distribusi listrik diukur menggunakan dua indikator utama, yaitu system average interruption duration index (saidi) dan system average interruption frequency index (saifi). penyulang saree di wilayah kerja pt. pln (persero) up3 banda aceh masih menunjukkan nilai saidi dan saifi yang tinggi meskipun telah dilengkapi satu unit recloser di section 4. berdasarkan data gangguan tahun 2024, nilai saidi tercatat sebesar 27,56 jam/pelanggan/tahun dan saifi sebesar 20,32 kali/pelanggan/tahun, melebihi batas standar nasional. penelitian ini bertujuan mengoptimalkan konfigurasi dua recloser menggunakan algoritma particle swarm optimization (pso) dengan mempertimbangkan kemungkinan penambahan recloser baru serta relokasi recloser eksisting. simulasi dilakukan menggunakan data gangguan yang diasumsikan terjadi pada sistem tanpa recloser. hasil optimasi menunjukkan bahwa konfigurasi terbaik diperoleh saat recloser ditempatkan pada section 1 dan section 3, yang menghasilkan nilai saidi sebesar 11,80 jam/pelanggan/tahun dan saifi sebesar 8,83 kali/pelanggan/tahun, penurunan masing-masing sebesar 68,1 % dan 68,46 % dari kondisi awal tanpa recloser. kemudian jika dibandingkan dengan kondisi eksisting recloser di section 4 maka saidi mengalami penurunan sebesar 57,18 % dan saifi sebesar 56,54 %. selain efektif secara teknis, strategi ini juga layak diterapkan secara ekonomi dengan potensi penghematan biaya tahunan sebesar rp21.475.685,09 dengan estimasi penurunan ens mencapai 14.856,152. dengan biaya investasi sebesar rp48.612.000, sehingga menghasilkan waktu pengembalian investasi selama 2,26 tahun. hasil penelitian ini dapat menjadi rekomendasi dalam peningkatan keandalan dan efisiensi sistem distribusi listrik.
Electronic Theses and Dissertation
Universitas Syiah Kuala
SKRIPSI
IMPLEMENTASI ALGORITMA PARTICLE SWARM OPTIMIZATION (PSO) UNTUK OPTIMASI LOKASI RECLOSER PENYULANG SAREE DI UNIT PELAKSANA PELAYANAN PELANGGAN BANDA ACEH. Banda Aceh Fakultas Teknik Elektro,2025
Baca Juga : AKSELERASI KOMPUTASI OPTIMAL POWER FLOW MENGGUNAKAN METODE PSO–NEWTON-RAPHSON BERBASIS PEMROGRAMAN PARALEL GPU (Dhira Yatha Bimatha Dharmavid, 2025)
Abstract
The reliability of an electrical distribution system is measured using two main indicators, namely the System Average Interruption Duration Index (SAIDI) and the System Average Interruption Frequency Index (SAIFI). The Saree feeder, located in the working area of PT. PLN (Persero) UP3 Banda Aceh, still shows high SAIDI and SAIFI values despite being equipped with one unit of recloser in Section 4. Based on outage data from 2024, the recorded SAIDI value was 27.56 hours/customer/year and the SAIFI value was 20.32 interruptions/customer/year, both exceeding the national standard limits. This study aims to optimize the configuration of two reclosers using the Particle Swarm Optimization (PSO) algorithm by considering the possibility of adding a new recloser and relocating the existing one. The simulation was conducted using outage data that was assumed to occur in a system without any recloser. The optimization results show that the best configuration is obtained when reclosers are placed in Section 1 and Section 3, resulting in a SAIDI of 11.80 hours/customer/year and a SAIFI of 8.83 interruptions/customer/year, representing a reduction of 68.1% and 68.46% respectively compared to the initial condition without a recloser. Furthermore, when compared to the existing condition with one recloser in Section 4, SAIDI decreased by 57.18% and SAIFI by 56.54%. In addition to being technically effective, this strategy is also economically feasible, with potential annual cost savings of IDR 21,475,685.09 and an estimated reduction in ENS of 14,856.152. With an investment cost of IDR 48,612,000, the payback period is calculated at 2.26 years. The results of this study can serve as a recommendation for improving the reliability and efficiency of the electrical distribution system.
Baca Juga : PENGARUH KUALITAS PELAYANAN DAN LOKASI TERHADAP LOYALITAS PELANGGAN YANG DIMEDIASI KEPUASAN PELANGGAN PADA CAR WASH Q DOORSMEER BANDA ACEH (TEUKU MUHAMMAD HAYKEL, 2022)