Universiti Teknologi Malaysia Institutional Repository

PV maximum power point tracking based simplified fuzzy logic

Goh, Perry Paisley Hua Seng (2013) PV maximum power point tracking based simplified fuzzy logic. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.

[img]
Preview
PDF
291kB

Abstract

The thesis focus is to develop Maximum Power Point Tracking (MPPT) algorithm that based on the Simplified Fuzzy Logic Controller (SFLC). It is known that the output of the PV panel is always fluctuates due to the changes in the irradiation of the sunlight and surrounding temperature. This inconsistency of the output voltage is no good to the load. To compensate the problem, a power converter is used to reduce the fluctuation. However, the efficiency of the power converter is much depends on the maximum power point tracked of the solar panel. Therefore, there is a need for a MPPT algorithm to be implemented in the power converter. In this thesis, Simplified Fuzzy Logic Controller (SFLC) is employed. The proposed of Simplified Fuzzy logic Controller (SFLC) has several advantages as compared to the conventional Fuzzy Logic Controller (CFLC), such as less number of rules and tuning parameters. To verify, full system model is developed in MATLAB-Simulink software and simulated. From the results, it was shown that the features of the proposed Simplified Fuzzy Logic Controller (SFLC) are justified.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Kuasa)) - Universiti Teknologi Malaysia, 2013; Supervisor : Dr. Shahrin Md. Ayob
Uncontrolled Keywords:electric current converters
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:37991
Deposited By: Narimah Nawil
Deposited On:12 Apr 2018 05:40
Last Modified:12 Apr 2018 05:40

Repository Staff Only: item control page