Putra, Tria Tiara (2026) Optimasi Kapasitas Battery Energy Storage System (BESS) Untuk Mitigasi Intermitensi PLTB Jeneponto Menggunakan Metode Particle Swarm Optimization. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pembangkit Listrik Tenaga Bayu (PLTB) Jeneponto saat ini terintegrasi ke dalam sistem kelistrikan Sulawesi Bagian Selatan tanpa adanya penyimpanan energi. Sifat intermitensi dari keluaran daya angin tersebut berpotensi mengganggu stabilitas tegangan dan frekuensi sistem. Berdasarkan aturan jaringan Sulawesi, batas maksimal ramp rate yang diizinkan untuk pembangkit energi terbarukan intermiten adalah 10 MW/menit. Untuk mengatasi permasalahan tersebut, diusulkan penggunaan Battery Energy Storage System (BESS) untuk menghaluskan (smoothing) keluaran daya angin sebelum disalurkan ke sistem. Metodologi yang diusulkan menggunakan algoritma Particle Swarm Optimization (PSO) dengan pendekatan weighted-sum melalui fungsi objektif ganda dengan mempertimbangkan batasan teknis dan faktor keekonomian. Strategi kontrol smoothing menggunakan pendekatan Centered Moving Average (CMA). Proses optimasi memanfaatkan data aktual keluaran daya PLTB Jeneponto dengan interval satu menit dari skenario minggu dengan fluktuasi tertinggi, dan disimulasikan menggunakan perangkat lunak MATLAB. Untuk memenuhi aturan jaringan, PLTB Jeneponto membutuhkan BESS dengan rasio daya terhadap energi yang tinggi, dengan kapasitas daya sebesar 12,19 MW dan energi sebesar 1,22 MWh, serta estimasi total biaya investasi awal sebesar Rp 93,2 miliar. Hasil simulasi menunjukkan bahwa integrasi BESS secara signifikan mampu menurunkan nilai maksimal ramp rate dari 34,37 MW/menit menjadi 10,00 MW/menit, serta secara efektif mengeliminasi seluruh kejadian pelanggaran batasan fluktuasi daya. Temuan penelitian ini memberikan rekomendasi teknis dan ekonomis yang komprehensif yang berguna untuk meningkatkan stabilitas dan keandalan integrasi energi terbarukan pada sistem kelistrikan Sulawesi Bagian Selatan.
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The Jeneponto wind power plant is currently integrated into the South Sulawesi power system without energy storage. This intermittency can affect the system's voltage and frequency stability. According to the Sulawesi Grid Code, the maximum allowable ramping rate for intermittent renewable energy power plants is 10 MW/min. To address this issue, a Battery Energy Storage System (BESS) is proposed to smooth the wind power output before it is supplied to the grid. The proposed methodology utilizes a weighted-sum Particle Swarm Optimization (PSO) algorithm with a multi-objective function that considers technical constraints and economic factors. The smoothing control strategy is implemented using a Centered Moving Average (CMA) approach. The optimization process utilizes the actual one-minute interval of the Jeneponto wind power output from a worst-case scenario week, and the simulation is carried out using MATLAB. To comply with the grid code, the Jeneponto wind power plant requires a BESS with a high power-to-energy ratio, specifically a capacity of 12.19 MW and 1.22 MWh, with an estimated total investment cost of Rp 93.2 billion. The results demonstrate that the BESS integration significantly reduced the maximum ramp rate from 34.37 MW/min to 10.00 MW/min and effectively eliminated all ramp rate violations. These findings provide valuable technical and economic recommendations for enhancing the stability and reliability of renewable energy integration in the South Sulawesi power system.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Sistem Penyimpanan Energi Berbasis Baterai, Centered Moving Average, Optimasi Kapasitas, Particle Swarm Optimization, Smoothing Daya PLTB, Battery Energy Storage System, Centered Moving Average, Optimal Sizing, Particle Swarm Optimization, Wind Power Output Smoothing |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Tria Tiara Putra |
| Date Deposited: | 31 Jul 2026 06:54 |
| Last Modified: | 31 Jul 2026 06:54 |
| URI: | http://repository.its.ac.id/id/eprint/140514 |
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