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All Journal ELPOSYS: Jurnal Sistem Kelistrikan
Zuroida, Afidah
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Evaluasi Kapasitas Genset Sebagai Sistem Back-Up Energi Listrik di Gedung Sekretariat Daerah Zuroida, Afidah; Galuh Prawestri Citra Handani; Hanifiyah Darna Fidya Amaral; Rohmanita Duanaputri; Bayu Prasetyo
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 1 (2025): ELPOSYS vol. 12 no. 1 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i1.6837

Abstract

Generator sets (gensets) are important tools to be available in public places as a backup source of electrical power, if there is a power outage from the main electrical source. In this study, an evaluation analysis of the generator capacity was carried out in the West Kalimantan secretariat building on April 2023. This building has a total load of 677 kW supplied by PLN medium voltage 20 kV and lowered by a 630 kVA step-down transformer. Current observations were made during Off Peak Load Time at 13.00-15.00 and Peak Load Time at 17.00-19.00. From this experiment, it can be concluded that in April 2023 the highest peak load usage was 568.67 kW or 710.83 kVA. After the calculations have been done, the generator power capacity in the building must be 651.61 kW, while the generators used were two units with a power capacity of 1280 kW. Thus, the generator has met the electrical energy needs of the building. The efficiency of the generator when the genset works for 60 minutes in the building is still relatively low, which is 26.25%. The ACB safety rating used on the outgoing genset to the Low Voltage Main Distribution Panel (LVMDP) has a rating of 2000 A for one genset unit and 4000 A for two synchronous genset units, which is in accordance with the calculation of the safety capability value from PUIL 2011 reference.
Optimasi Sistem Pengisian MPPT Berbasis Fuzzy logic Pada Panel Surya Zuroida, Afidah; Irwan Heryanto/Eryk; Alfina Salsabella Ramandhani
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 1 (2025): ELPOSYS vol. 12 no. 1 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i1.6852

Abstract

The transition to renewable energy is a crucial step in achieving sustainable development. However, the efficiency of Photovoltaic (PV) systems remains a challenge due to fluctuations in solar irradiation, which affect power generation. This study aimed to enhance Maximum Power Point Tracking (MPPT) performance by integrating Fuzzy logic Control (FLC) into the charging system of a solar power plant. The research employed an experimental approach involving the testing of a 100 Wp PV module and a 44 Ah battery, where data collection was conducted at 10-minute intervals from 10:30 AM to 3:00 PM. The proposed FLC-based MPPT system was compared with a conventional MPPT system to evaluate charging efficiency, power stability, and response time. The findings indicated that the FLC-based MPPT exhibited superior stability, maintaining output voltage within 12V to 12.5V, whereas the non-Fuzzy MPPT showed wider voltage variations. Additionally, the FLC-based system achieved an average charging current of 2.05 A, reducing the full battery charging time to 21 hours 46 minutes, compared to 46 hours 31 minutes for the conventional MPPT system. These results confirm that FLC enhances MPPT performance, particularly in optimizing power output and reducing charging time. However, efficiency trade-offs were observed due to step-down losses in the buck converter. Future research should focus on hybrid MPPT approaches, parameter optimization, and large-scale implementation, potentially integrating Artificial Intelligence (AI) techniques to further improve efficiency. This study contributes to advancing intelligent MPPT systems for renewable energy applications.
Co-Authors Alfina Salsabella Ramandhani Amaral, Hanifiyah Darna Fidya Bayu Prasetyo Galuh Prawestri Citra Handani Irwan Heryanto/Eryk Rohmanita Duanaputri