Efficiency Comparison Of Maximum Power Point Tracking On Photovoltaic Using Fuzzy Logic And Perturb & Observe Methods

Elgweal, Osama Ahmed A. (2019) Efficiency Comparison Of Maximum Power Point Tracking On Photovoltaic Using Fuzzy Logic And Perturb & Observe Methods. Magister thesis, Universitas Brawijaya.

Abstract

Penelitian ini menyajikan analisis mendalam tentang perbandingan efisiensi antara algoritma P & O (perturb and observasi) dan implementasi metode FLC (Fuzzy Logic Controller) pada PV (photovoltaic) MPPT (maximum power point trcking). Keterbatasan utama algoritma P&O adalah osilasi di sekitar MPP (titik daya maksimum), karena metode ini menjadi tidak stabil dengan perubahan cepat dalam kondisi atmosfer seperti penyinaran dan suhu.

English Abstract

This research presents a deep analysis of efficiency comparison between P & O (perturb and observe) algorithm and FLC (Fuzzy Logic Controller) method implementation on PV (photovoltaic) MPPT (maximum power point trcking). P&O algorithm main limitation is oscillation around the MPP (maximum power point), as this method becomes unstable with rapid change in atmospheric conditions such as irradiance and temperature.

Other obstract

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Item Type:	Thesis (Magister)
Identification Number:	TES/621.312 44/ELG/e/2019/041903434
Uncontrolled Keywords:	-
Subjects:	600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting > 621.31 Generations, modification, storage, transmission of electric power > 621.312 Generation, modification, storage > 621.312 4 Direct energy conversion > 621.312 44 Generation of electricity from solar radiation
Divisions:	S2/S3 > Magister Teknik Elektro, Fakultas Teknik
Depositing User:	Endang Susworini
Date Deposited:	01 Aug 2022 08:00
Last Modified:	02 Aug 2022 04:57
URI:	http://repository.ub.ac.id/id/eprint/192925

Text OSAMA AHMED A. ELGWEAL.pdf Download (5MB)

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