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Buck-boost Converter using GA-based MPPT for Solar Energy Optimization Syafaah, Lailis; Faruq, Amrul; Noor Cahyadi, Basri; Hidayat, Khusnul; Setyawan, Novendra; Lestandy, Merinda; Zulfatman
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 3, August 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i3.1658

Abstract

Energy optimization in the Solar Power Plant system needs to have more attention. Indonesia is a tropical country that has two seasons, where the weather and cloud movements are frequently unpredictable, especially in the southern region of Java Island. To overcome this problem, an inverter equipped with maximum power point tracking (MPPT) was used. However, the current MPPT switching system was still not optimal with an efficiency of around 90%. In this study, the installation of MPPT was carried out in order to optimize the power in solar photovoltaic (PV) system due to the fluctuations of solar irradiation at PT. Jatinom Indah Agri, Blitar City. The maximum power generated by solar photovoltaic could be achieved by using the combination of DC - DC converter and artificial intelligence. In this study, the modeling of solar PV system was made using MATLAB software, where the design of the solar PV system consisted of a PV module with capacity 240W, DC to DC converter, battery and MPPT. Genetic Algorithm (GA)-based MPPT had been tested and compared to Particle Swarm Optimization (PSO)-based MPPT and conventional MPPT, where the GA-based MPPT worked well in finding the maximum power point in the solar photovoltaic system. It was found that GA-based MPPT produced a maximum power point close to PV power with an efficiency of 92%, while the effciciency of PSO-based MPPT and conventional MPPT were 85% and 79% respectively. In selecting the method for designing MPPT, a method with a wide range of sample data is required. This is due to the fluctuation of solar irradiance received by the solar PV.
Studi analisis pembangkit listrik tenaga surya off-grid untuk mengurangi efek pemadaman listrik Noor Cahyadi, Basri; Zulfatman, Zulfatman; Mardiyah, Nur Alif
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 5 No. 3: September 2025
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v5.i3.2025.155-166

Abstract

Penelitian ini akan mengkaji kelayakan pembangunan pembangkit listrik tenaga surya (PLTS) off-grid  dengan studi kasus di Masjid Muhammad Cheng Hoo, Malang Selatan. Tujuan utama studi ini untuk mengatasi gangguan pemadaman listrik. Masjid ini memiliki beban utama seperti pompa air yang menyuplai air bersih untuk kebutuhan masyarakat sekitar. Metode penelitian meliputi survei lapangan, analisis beban, simulasi energi menggunakan perangkat lunak PVSyst, dan analisis ekonomi. Hasil simulasi menunjukkan kapasitas optimal PLTS sebesar 5,5 kWp dengan nilai performance ratio (PR) 0,54 dan solar fraction (SF) 0,92. Analisis ekonomi menunjukkan biaya investasi awal sebesar Rp 115.700.000 dengan nilai net present value (NPV) sebesar Rp 59.412.192, payback period (PBP) 16,4 tahun, dan return on investment (ROI) sebesar 51,4% senilai dengan Rp 59.459.800,-. Semua nilai indikator tersebut telah memenuhi kriteria kelayakan, sehingga hasil studi kelayakan pembangunan dikatakan layak untuk masuk dalam proses pembangunan. Kontruksi PLTS yang diusulkan menggunakan model carport dengan material kayu untuk menghindari fenomena korosi yang disebabkan oleh hembusan udara dari laut. Implementasi PLTS ini diharapkan dapat mengurangi biaya operasional listrik, mengurangi dampak pemadaman, mendukung transisi energi terbarukan, serta meningkatkan keandalan pasokan listrik.