Mubarok, Husein Zakka (2026) Optimasi Operasi Sistem Hybrid Di Sistem Sangihe I Menggunakan Grey Wolf Optimizer. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Mengoptimalkan operasi sistem tenaga listrik di daerah terpencil merupakan tantangan yang kompleks karena keterbatasan sumber daya, variabilitas beban, dan karakteristik pembangkit yang beragam. Penelitian ini mengusulkan suatu kerangka optimasi hibrida yang menggabungkan Unit Commitment (UC) dan Grey Wolf Optimizer (GWO) untuk sistem tenaga listrik Sangihe I, yang terdiri atas generator diesel (DG), pembangkit listrik tenaga surya (PLTD), dan pembangkit listrik tenaga mikrohidro (PLTMH). Model UC mencakup penjadwalan unit pembangkit, batas daya, serta berbagai kendala operasional dengan menggunakan data sistem aktual dan profil beban harian.
Kinerja GWO kemudian dibandingkan dengan Firefly Algorithm (FA). Hasil penelitian menunjukkan bahwa integrasi energi terbarukan mampu menurunkan biaya operasional dengan mengurangi ketergantungan pada pembangkitan diesel. GWO secara konsisten menghasilkan penjadwalan pembangkit yang lebih efisien, sehingga mampu mencapai biaya operasi harian yang lebih rendah serta distribusi beban yang lebih baik. Secara kuantitatif, GWO menunjukkan kinerja yang lebih unggul dibandingkan FA dengan peningkatan efisiensi sekitar 7,01% - 9,04% pada kondisi Non Base Unit dan 2,99% - 6,49% pada kondisi dengan Base Unit. Secara keseluruhan, pendekatan yang diusulkan mampu meningkatkan pemanfaatan energi terbarukan serta menyediakan solusi yang lebih andal dan efektif untuk economic dispatch dan manajemen energi pada sistem tenaga hibrida, khususnya di wilayah terpencil.
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Optimizing power system operation in remote areas is challenging due to limited resources, load variability, and heterogeneous generation characteristics. This study proposes a hybrid optimization framework combining Unit Commitment (UC) and the Grey Wolf Optimizer (GWO) for the Sangihe I power system, which includes diesel generators (DG), photovoltaic (PV), and micro-hydropower (MHP). The UC model incorporates generator scheduling, power limits, and operational constraints using real system data and daily load profiles. The performance of GWO is compared with the Firefly Algorithm (FA). The results show that renewable energy integration reduces operational costs by decreasing reliance on diesel generation. GWO consistently provides more efficient generation scheduling, achieving lower daily operating costs and improved load distribution. Quantitatively, GWO outperforms FA by approximately 7,01% - 9,04% under unconstrained conditions and 2,99% - 6,49% under Base Unit Constraints. Overall, the proposed approach enhances renewable energy utilization and provides a more robust and effective solution for economic dispatch and energy management in hybrid power systems, particularly in remote areas.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Sistem Pembangkit Hybrid, Unit Commitment, Grey Wolf Optimizer, Optimasi Operasi Sistem Tenaga, Hybrid Energy System, Unit Commitment, Grey Wolf Optimizer, Power System Operation Optimization |
| Subjects: | T Technology > T Technology (General) > T57.84 Heuristic algorithms. T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1519.S68 Hydroelectric power plants |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Husein Zakka Mubarok |
| Date Deposited: | 30 Jul 2026 08:17 |
| Last Modified: | 30 Jul 2026 08:17 |
| URI: | http://repository.its.ac.id/id/eprint/139556 |
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