Desain Dan Analisis Defense Scheme Akibat Penambahan PLTU 2x50 MW Pada Kondisi Inersia Rendah Di Sistem Lombok

Alwijaya, Rangga Tristanto Rahmat (2026) Desain Dan Analisis Defense Scheme Akibat Penambahan PLTU 2x50 MW Pada Kondisi Inersia Rendah Di Sistem Lombok. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Stabilitas frekuensi pada Sistem Kelistrikan Pulau Lombok menghadapi kerentanan tinggi akibat margin cadangan operasi yang lebih kecil dari kapasitas unit pembangkit terbesarnya. Kondisi ini memicu risiko pemadaman meluas (blackout) saat terjadi defisit daya yang signifikan. Skema Under Frequency Load Shedding (UFLS) konvensional sering kali tidak mampu memberikan respons yang optimal dan presisi dalam mempertahankan frequency nadir. Penelitian ini mengusulkan pengaturan (setting) parameter yang dioptimasi menggunakan algoritma Particle Swarm Optimization (PSO) pada skema UFLS 5-tahap yang bersifat tangguh (robust) secara global untuk mengatasi seluruh kondisi gangguan, mulai dari kontingensi N-1 hingga N-3. Metode ini mengintegrasikan co-simulation antara Python dan DIgSILENT PowerFactory untuk menentukan frequency setpoint dan target pelepasan beban secara akurat. Inovasi utama dalam penelitian ini adalah penerapan logika kombinatorial diskret yang memastikan perlindungan terhadap penyulang prioritas 1 (seperti fasilitas esensial) agar tidak terlepas selama proses pemulihan sistem. Hasil simulasi menunjukkan bahwa setting UFLS berbasis PSO secara konsisten mampu mempertahankan nadir frekuensi di atas batas kritis 48,20 Hz (islanding threshold) dan meminimalkan fenomena overshoot pada berbagai tingkat gangguan. Dibandingkan dengan skema konvensional eksisting, pengaturan yang diusulkan berhasil mengurangi jumlah beban yang dilepas hingga 29,63 MW, sekaligus memastikan kestabilan steady-state yang lebih cepat di kedua skenario beban puncak malam (night peak) maupun beban siang (day time / low inertia) sehingga keandalan sistem tetap terjaga dengan baik.
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Frequency stability in the Lombok Island Power System faces high vulnerability due to an operating reserve margin that is smaller than the capacity of its largest generation unit. This condition triggers the risk of widespread blackouts during substantial power deficits. Conventional Under Frequency Load Shedding (UFLS) schemes often lack the precision to provide an optimal response in maintaining the frequency nadir. This study proposes optimally tuned parameters using the Particle Swarm Optimization (PSO) algorithm for a 5-stage UFLS scheme, demonstrating global robustness across all disturbance conditions ranging from N-1 to N-3 contingencies. The method integrates co-simulation between Python and DIgSILENT PowerFactory to accurately determine frequency setpoints and load shedding targets. The key innovation is the implementation of priority-aware discrete combinatorial logic, ensuring that Priority 1 feeders (e.g., essential facilities) remain connected during the system recovery process. Simulation results demonstrate that the PSO-based UFLS settings consistently maintain the frequency nadir above the critical limit of 48.20 Hz (islanding threshold) and minimize overshoot phenomena across various disturbance levels. Compared to existing conventional schemes, the proposed settings successfully reduce the amount of shed load by 29.63 MW while achieving faster steady-state stability in night peak and daytime (low inertia) load scenarios, thereby well-preserving system reliability.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Logika Kombinatorial Diskret, Particle Swarm Optimization, Penyulang Prioritas, Sistem Kelistrikan Pulau Lombok, Under Frequency Load Shedding, Discrete Combinatorial Logic, Lombok Island Power System, Particle Swarm Optimization, Priority Feeders, Under Frequency Load Shedding
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Rangga Tristanto Rahmat Alwijaya
Date Deposited:	31 Jul 2026 08:10
Last Modified:	31 Jul 2026 08:10
URI:	http://repository.its.ac.id/id/eprint/141012

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