Noer, Mochamad Aziz Sirojudin (2026) Optimasi Kualitas Tegangan dan Rugi Daya Pada Feeder Sistem Distribusi Bali Dalam Konteks Integrasi Virtual Power Plant (Vpp) Menggunakan Modified Particle Swarm Optimization Effective Guide (Mpsoeg). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Peningkatan penetrasi energi terbarukan dan teknologi penyimpanan energi menuntut pengelolaan sistem distribusi yang lebih adaptif dan efisien. Penelitian ini mengkaji implementasi Virtual Power Plant (VPP) yang terdiri atas sistem rooftop photovoltaic (PV) dan Battery Energy Storage System (BESS) pada jaringan distribusi Bali untuk meningkatkan profil tegangan dan meminimalkan rugi-rugi daya. Permasalahan optimasi diformulasikan sebagai fungsi multiobjektif dengan mempertimbangkan total rugi-rugi daya dan deviasi tegangan terhadap nilai nominal. Algoritma Modified Particle Swarm Optimization Effective Guide (MPSOEG) digunakan untuk menentukan konfigurasi injeksi daya optimal dari VPP dengan memperhatikan berbagai batasan, meliputi kapasitas daya, batas tegangan, serta state of charge (SoC) pada BESS. Model sistem distribusi dan simulasi aliran daya dikembangkan menggunakan perangkat lunak DIgSILENT PowerFactory, sedangkan proses optimasi diimplementasikan menggunakan Python. Hasil penelitian menunjukkan bahwa integrasi VPP yang dikendalikan secara optimal mampu meningkatkan stabilitas tegangan dan mengurangi rugi-rugi daya, sehingga meningkatkan keandalan dan efisiensi sistem distribusi modern.
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The increasing penetration of renewable energy and energy storage technologies necessitates more adaptive and efficient management of distribution systems. This study investigates the implementation of a Virtual Power Plant (VPP), comprising rooftop photovoltaic (PV) systems and a Battery Energy Storage System (BESS), within the Bali distribution network to enhance voltage profile and minimize power losses. The optimization problem is formulated as a multi-objective function considering total power losses and voltage deviations from the nominal value. The Modified Particle Swarm Optimization Effective Guide (MPSOEG) algorithm is employed to determine the optimal power injection configuration of the VPP, subject to constraints including power capacity limits, voltage bounds, and the state of charge (SoC) of the BESS. The distribution system model and load flow simulations are developed using DIgSILENT PowerFactory, while the optimization process is implemented in Python. The results demonstrate that optimally controlled VPP integration enhances voltage stability and reduces power losses, thereby improving the reliability and efficiency of modern distribution systems.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Virtual Power Plant (VPP), Battery Energy Storage System (BESS), Rooftop Photovoltaic (PV), Modified Particle Swarm Optimization Effective Guide (MPSOEG), rugi-rugi daya, profil tegangan, sistem distribusi, DIgSILENT PowerFactory. ========================================================== Virtual Power Plant (VPP), Battery Energy Storage System (BESS), Rooftop Photovoltaic (PV), Modified Particle Swarm Optimization Effective Guide (MPSOEG), Power Losses, Voltage Profile, Distribution System, DIgSILENT PowerFactory. |
| Subjects: | Q Science > Q Science (General) > Q337.3 Swarm intelligence T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Mochamad Aziz Sirojudin Noer |
| Date Deposited: | 30 Jul 2026 02:58 |
| Last Modified: | 30 Jul 2026 02:58 |
| URI: | http://repository.its.ac.id/id/eprint/139972 |
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