Putri, Anjelita Rosa (2023) Rancang Bangun Inverter Pada Baterai Berbasis Hybrid PV-Wind Energy Menggunakan Modified Firefly Alghorithm – Fuzzy Logic Controller Untuk Beban Lampu PJU dan Supply Mobile Charger. Other thesis, Institut Teknologi Sepuluh Nopember.
Text
02311940000076_Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2025. Download (3MB) | Request a copy |
Abstract
Energi surya dan energi angin yang dikonversi menjadi sebuah energi listrik dan disimpan didalam baterai dapat digunakan sebagai energi listrik Penerangan Jalan Umum (PJU). Prinsip kerja dari pembangkit listrik tenaga Hybrid PV-Wind Turbine yang dimanfaatkan sebagai PJU yaitu menerapkan jumlah radiasi sinar matahari yang diterima oleh photovoltaic (PV) dan jumlah kecepatan angin yang diterima oleh turbin Savonius kemudian dikonversi menjadi energi listrik. Energi listrik yang dihasilkan dari photovoltaic (PV) ini merupakan arus listrik DC. Agar dapat menghasilkan daya yang dapat dikonsumsi oleh beban-beban yang ada, arus listrik DC tersebut harus dikonversi ke arus listrik AC dengan menggunakan inverter. Pada penelitian ini dilakukan perancangan inverter dengan menggunakan modified firefly algorithm – fuzzy logic controller untuk kontrol inverternya. Parameter perancangan Inverter menggunakan MOSFET IRF840, dioda 1N4148 dan resistansi sebesar 10k Ohm. Gelombang yang dihasilkan dari rangkaian full bridge inverter yaitu gelombang kotak. Nilai error steady state dari fuzzy logic control sebesar 0.57% sedangkan pada modified firefly alghorithm sebesar 0.34%. Nilai rise time dari fuzzy logic control sebesar 2.766 ms sedangkan pada modified firefly alghorithm sebesar 1.8572 ms. Nilai overshoot dari fuzzy logic control sebesar 46.684% sedangkan pada modified firefly alghorithm sebesar 32.501%. Sistem kontrol modified firefly alghorithm – fuzzy logic control mampu meningkatkan performansi inverter. Hal ini ditunjukkan dengan kestabilan nilai frekuensi inverter dan penurunan nilai THD.
===============================================================================================================================
Solar energy and wind energy which is converted into electrical energy and stored in batteries can be used as electrical energy for Public Street Lighting (PJU). The working principle of the Hybrid PV-Wind Turbine power plant which is utilized as a PJU is to apply the amount of solar radiation received by the photovoltaic (PV) and the amount of wind speed received by the Savonius turbine and then converted into electrical energy. The electrical energy generated from photovoltaic (PV) is a DC electric current. In order to produce power that can be consumed by existing loads, the DC current must be converted to AC current using an inverter. In this research, we designed an inverter using a modified firefly algorithm – fuzzy logic controller to control the inverter. Inverter design parameters using MOSFET IRF840, diode 1N4148 and a resistance of 10k Ohm. The wave generated from the full bridge inverter circuit is a square wave. The steady state error value of the fuzzy logic control is 0.57% while the modified firefly algorithm is 0.34%. The rise time value of the fuzzy logic control is 2.766 ms while the modified firefly algorithm is 1.8572 ms. The overshoot value of the fuzzy logic control is 46.684% while the modified firefly algorithm is 32.501%. The modified firefly alghorithm control system – fuzzy logic control is able to improve inverter performance. This is indicated by the stability of the inverter frequency value and decrease of THD value.
Item Type: | Thesis (Other) |
---|---|
Uncontrolled Keywords: | Full Bridge, Fuzzy Logic Controller, Frekuensi, Inverter, Modified Firefly Alghorithm, Frequency |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2692 Inverters |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
Depositing User: | Anjelita Rosa Putri |
Date Deposited: | 24 Aug 2023 03:11 |
Last Modified: | 24 Aug 2023 03:11 |
URI: | http://repository.its.ac.id/id/eprint/101487 |
Actions (login required)
View Item |