Maulidhia, Alief Nur Aisyi (2023) Analisis Stabilitas Frekuensi Pada Optimasi Setting Kontroller Inersia Virtual (VIC) Berbasis Supercapacitor Energy Storage (SCES) Menggunakan Particle Swarm Optimization (PSO). Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini mengusulkan pengaplikasian optimisasi konsep VIC pada baterai Supercapacitor Energy Storage (SCES) berbasis Particle Swarm Optimization (PSO) dengan pemodelan sistem tenaga listrik dua area yang diuji. Simulasi dilakukan dengan bantuan software Matlab Simulink 9.4/R2022a. dengan menerapkan metode Time-domain simulation (TDS) untuk mengivestigasi efek pemasangan VIC pada sistem tenaga listrik dua area terinterkoneksi. Simulasi dibagi menjadi 2 skenario. Simulasi skenario 1 dilakukan pengintegrasian PV dan penambahan beban 100 MW pada area 1 sistem. Terlihat bahwa nilai overshoot semakin kecil setelah pemasangan VIC, karena respon cepat dari VIC yang mampu menahan ramping-up generator-generator pada sistem terutama pada area yang mengalami gangguan. Setelah itu dilakukan simulasi skenario 2 dan 3 denhan penambahan beban 200 MW dan 300 MW pada area 1 sistem. Standar deviasi yang di hasilkan oleh PSO lebih besar dibandingkan dengan FA dalam optomasi parameter VIC dimana nilai error terkecil yang dihasilkan lebih presisi untuk tiap hasil running simulasinya, lebih cepat dalam konvergensi dengan waktu yang lebih singkat dibandingan dengan menggunakan algoritma kunang-kunang.
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This research proposes the application of the VIC concept optimization to SCES based on the PSO. The performance of the proposed method is assessed using two area power systems. The simulation was carried out with the help of Matlab Simulink 9.4/R2022a software. by applying the method Time-domain simulation (TDS) to investigate the effect of VIC application on an interconnected two-area power system. The simulation is divided into 2 scenarios. Scenario 1 simulation is carried out by integrating PV and adding 100 MW of load in area 1 of the system. It can be seen that the overshoot value is getting smaller after the installation of VIC, due to the fast response of the VIC which is able to withstand the slim-up of the generators in the system, especially in areas experiencing disturbances. After that, scenarios 2 and 3 were simulated with an additional load of 200 MW and 300 MW in area 1 of the system. The standard deviation generated by PSO is larger than FA in VIC parameter optimization where the smallest error value produced is more precise for each simulation running result, faster in convergence with shorter time compared to using the firefly algorithm.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Frekuensi, Particle Swarm Optimization, Supercapacitor Energy Storage, Time Domain Simulation, Virtual Inertia Control |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Alief Nur Aisyi Maulidhia |
| Date Deposited: | 24 Jan 2023 05:27 |
| Last Modified: | 24 Jan 2023 05:27 |
| URI: | http://repository.its.ac.id/id/eprint/95570 |
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