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Optimization of adaptive perturb and observe-fuzzy logic control maximum power point tracking for photovoltaic boost dc-dc converter

Optimization of adaptive perturb and observe-fuzzy logic control maximum power point tracking for photovoltaic boost dc-dc converter / Ezril Aidil Azari
Panel fotovoltaik (PV) menghasilkan tenaga elektrik secara langsung daripada penukaran tenaga cahaya. Walau bagaimanapun, kecekapannya agak rendah dan pelaksanaan teknik Penjejakan Titik Kuasa Maksimum (MPPT) dapat mencapai kecekapan yang lebih besar dalam modul PV. Kajian ini membentangkan pemodelan dan simulasi algoritma MPPT yang menggunakan kaedah adaptif perturb dan observe-fuzzy logic control (P&O-FLC) dengan fungsi keahlian yang berbeza. MATLAB/Simulink digunakan untuk kajian simulasi. Boost arus terus-arus terus konverter dibina di semua simulasi di mana modulasi lebar pulsa (PWM) dikawal mengikut kitaran tugas dari algoritma MPPT. Sistem PV yang lengkap terdiri daripada perturb dan observe (P&O), adaptif P&O-FLC dengan fungsi keahlian 4, 5 dan 7. Fungsi keahlian yang berbeza telah digunakan untuk menguji dan menyiasat perbandingan dan keberkesanan algoritma MPPT yang dicadangkan dalam sistem PV. Hal ini menunjukkan, projek ini akan mengkaji tahap fungsi keahlian yang mempunyai prestasi tertinggi dalam algoritma adaptif P&O-FLC MPPT dalam sistem PV. _______________________________________________________________________________________________________ A photovoltaic (PV) panel produces electrical energy directly from the light energy conversion. However, its efficiency is rather low and the implementation of Maximum Power Point Tracking (MPPT) techniques can achieved a greater efficiency in the PV module. This study presents the modelling and simulation of MPPT algorithm which used the adaptive perturb and observe-fuzzy logic control (P&O-FLC) method with different membership functions. MATLAB/Simulink was used for simulation studies. The boost dc-dc converter was built in all the simulation where the pulse width modulation (PWM) is regulated according to the duty cycle from the MPPT algorithm. The complete standalone PV system consists of perturb and observe (P&O), adaptive P&O-FLC with 4, 5 and 7 membership functions. The different membership functions were used to test and investigate the comparison and effectiveness of the proposed MPPT algorithm in a PV system. As a result, this project will investigate the which levels of membership functions has the highest performance in the adaptive P&O-FLC MPPT algorithm in PV system.
Contributor(s):
Ezril Aidil Azari - Author
Primary Item Type:
Final Year Project
Identifiers:
Accession Number : 875008714
Language:
English
Subject Keywords:
photovoltaic; electrical; conversion
First presented to the public:
6/1/2019
Original Publication Date:
3/12/2020
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 86
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2020-03-12 15:32:01.395
Date Last Updated
2020-12-11 16:00:36.481
Submitter:
Mohd Jasnizam Mohd Salleh

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Optimization of adaptive perturb and observe-fuzzy logic control maximum power point tracking for photovoltaic boost dc-dc converter1 2020-03-12 15:32:01.395