Rahmat Syahbani, Arsy (2021) Analisis Performansi MPPT pada Panel Surya 20 Wp Menggunakan Algoritma Perturbation and Observation dan Incremental Conductance. Sarjana thesis, Universitas Brawijaya.
Abstract
"Daya keluaran panel surya sangat bergantung dengan kondisi radiasi matahari dan suhu lingkungan yang ada. Efisiensi panel surya hanya sekitar 20% sampai 30%. Oleh karena itu diperlukan metode Maximum Power Point Tracking (MPPT) untuk memaksimalkan daya keluarannya. Pada penelitian ini penulis akan membandingkan dua algoritma MPPT yaitu, Perturbation and Observation (P&O) dan Incremental Conductance (INC). Nantinya akan di berikan sebuah studi kasus dengan 3 skenario berbeda untuk mengetahui algoritma mana yang menunjukan performansi lebih baik."
English Abstract
In the utilization of solar panels, there are major problems in its use. The production of electrical energy using solar panels is very dependent on the conditions of solar radiation and the temperature of the environment. Thus, the solar panel has a fluctuating quality of output value. The efficiency of solar panels is only about 20% to 30%. A method is needed in order to maximize the output power of solar panels despite changes in solar radiation conditions and temperature. Under varying radiation and temperature conditions, there is one point that makes solar panels produce the maximum amount of energy with maximum efficiency. This point is known as the Maximum Power Point (MPP), where tracking the maximum power point from solar panels is called Maximum Power Point Tracking (MPPT). In this research, the researcher is aiming to modify the previous research by conducting a maximum power tracking experiment on the Simulink MATLAB 2017b software using the Perturbation and Observation (P&O) and Incremental Conductance (INC) algorithms. A case study will be given with 3 different scenarios, namely, fixed temperature and variable radiation, fixed and variable temperature radiation, and varied temperature and radiation according to field data on February 2021. Based on the research results obtained from the simulation, it can be concluded that: 1) The maximum power tracking error of the P&O algorithm in the 3 given scenarios is 0.0895% with a tracking time of 0.3390 seconds; 2) The maximum power tracking error of the INC algorithm in the 3 given scenarios was 0.6474% with a tracking time of 0.3468 seconds and 3) The maximum power tracking error of the P&O algorithm as a whole was 55.30% superior to the INC algorithm. Overall the P&O algorithm also has a maximum power tracking time that is 17.42% faster than the INC algorithm. Index Terms: Solar panels, Maximum Power Point (MPP), Maximum Power Point Tracking (MPPT), Perturbation and Observation (P&O), Incremental Conductance (INC)
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 621.381 |
| Uncontrolled Keywords: | Panel surya, titik daya maksimal, Maximum Power Point Tracking (MPPT), Perturbation and Observation (P&O) , Incremental Conductance (INC)--Solar panels, Maximum Power Point (MPP), Maximum Power Point Tracking (MPPT), Perturbation and Observation (P&O), Incremental Conductance (INC) |
| Subjects: | 600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting > 621.38 Electronics, communications engineering > 621.381 Electronics |
| Depositing User: | Unnamed user with email gaby |
| Date Deposited: | 20 Oct 2021 02:16 |
| Last Modified: | 24 Feb 2022 01:37 |
| URI: | http://repository.ub.ac.id/id/eprint/184236 |
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Text (DALAM MASA EMBARGO)
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