Saputra, Angga Hari (2018) Kombinasi Maximum Power Point Tracking (MPPT) dan Penjejak Matahari Dua Sumbu Dengan Metode Fuzzy-Particle Swarm Optimization. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia yang secara geografis terletak pada garis khatulistiwa mempunyai potensi energi surya sangat besar. Namun hal itu belum bisa dimanfaatkan secara optimal dikarenakan masih terkendala konversi daya modul PV yang relatif masih rendah. Salah satu cara untuk meningkatkan konversi daya modul PV adalah melengkapi sistem panel surya dengan penjejak matahari dan algoritma Maximum Power Point Tracking (MPPT). Metode penjejak matahari mengupayakan panel PV untuk selalu tegak lurus dengan arah datangnya sinar matahari. Kemudian MPPT adalah sistem elektronik yang dapat menelusuri titik daya maksimum yang mungkin dihasilkan dalam kondisi berbagai klimatik. Pada penelitian ini telah berhasil dirancang MPPT berbasis Fuzzy-Particle Swarm Optimization (PSO) yang diintegrasikan dengan sistem panel PV kondisi fixed dan penjejak matahari untuk meningkatkan konversi daya modul PV. Mekanisme kontrol Fuzzy-PSO yang dikembangkan adalah melakukan modifikasi model fungsi keanggotaan fuzzy melalui penentuan batas-batas fungsi keanggotaan masukan fuzzy yang di update berdasarkan fungsi objektif yaitu Mean Square Error (MSE). Hasilnya MPPT Fuzzy-PSO penjejak matahari dapat meningkatkan keluaran daya dari PV sebesar 29,66% selama 10 jam operasi dibandingkan MPPT Fuzzy-PSO fixed system.
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Indonesia is geographically located on the equator has the potential of solar energy is very large. But it can not be optimally utilized because of constrained power conversion module PV is still relatively low. One way to improve the power conversion of PV modules is to equip solar panel sys-tems with solar tracker and Maximum Power Point Tracking (MPPT) algorithms. The solar tracker method seeks PV panels to always perpendicular to the direction of sunlight. Then MPPT is an electronic system that can trace the maximum power point that may be produced under various climatic conditions. In this research has successfully designed MPPT-based Fuzzy-Particle Swarm Optimization (PSO) which is in-tegrated with PV panel system of fixed condition and tracking to increase PV module power conversion. The Fuzzy-PSO control mechanism developed is to modify the fuzzy mem-bership function model through the determination of func-tional boundaries of fuzzy input members which are updated based on the objective function ie Mean Square Error (MSE). The result is MPPT Fuzzy-PSO solar tracker can increase the power output from PV by 29,66% for 10 hours operation rel-ative to MPPT Fuzzy-PSO fixed system.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 621.47 Sap k |
| Uncontrolled Keywords: | MPPT; Penjejak matahari; Fuzzy-PSO; MSE; modul PV |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Saputra Angga Hari |
| Date Deposited: | 03 May 2018 02:00 |
| Last Modified: | 15 Jun 2020 03:10 |
| URI: | http://repository.its.ac.id/id/eprint/51204 |
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