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FPGA based maximum power point tracking of photovoltaic system using ANFIS controller

Zolkifli, Muhammad Farzul Nizam and Robian, Mohamad Solehin and Saon, Sharifah and Mahamad, Abd Kadir (2016) FPGA based maximum power point tracking of photovoltaic system using ANFIS controller. ARPN Journal of Engineering and Applied Sciences, 11 (8). pp. 5094-5097. ISSN 18196608

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Photovoltaic (PV) system is considered to be a renewable energy which is derived from solar energy. Solar energy is an abundant resource which is clean and green energy taken from nature. However, the amount of electric power generated by solar arrays varies with the weather. This will bring inconsistency in generation of output power. This paper proposes a maximum power point tracking (MPPT) of photovoltaic system based on Adaptive Neural Fuzzy Inference system (ANFIS) controlled using field programmable gate array (FPGA). The performance of proposed method is evaluated using MATLAB/SIMULINK. The proposed method is capable to maintain the consistency of power generated by solar panel under varies conditions.

Item Type: Article
Uncontrolled Keywords: MPPT; FPGA; ANFIS; photovoltaic
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Electrical and Electronic Engineering > Department of Communication Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 Aug 2018 03:26
Last Modified: 13 Aug 2018 03:26
URI: http://eprints.uthm.edu.my/id/eprint/8861
Statistic Details: View Download Statistic

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