Preliminary communication

https://doi.org/10.17559/TV-20171029140308

Comparative Analysis of Intelligent Controller Based MPPT for Photovoltaic System with Super Lift Boost Converter

Palanivel Manikannan ; A.K.T. Memorial College of Engineering and Technology, Kallakuruchi, Tamilnadu, India-606 202
Kaithmalai Udhayakumar ; College of Engineering, Guindy, Anna University, Chennai-600025, India-606 202
Parthasarathi Pugazhendiran ; IFET College of Engineering, Villupuram, Tamilnadu, India-605108

Abstract

In recent years, the electrical energy demand increases gradually and the power generation does not meet the demand due to lack of fossil fuel and environmental issues. The only solution is to use renewable energy sources for generating electricity and meet the consumers demand. In this paper, photovoltaic power system analyses their performance under various weather conditions. The objective of this paper is comparing the different intelligent controllers such as Fuzzy, ANFIS and Hybrid Fuzzy & Firefly Algorithm (HFFA) for Maximum Power Point Tracking (MPPT) of 100 Watts PV system using a Super Lift Boost Converter (SLBC). The proposed intelligent controller is designed and simulated in MATLAB environment under various weather conditions. The simulation results have been analyzed and the performance of the proposed model evaluated with changing irradiation conditions. Finally, the performance of Hybrid Fuzzy and firefly based MPPT has been suggested as the optimum controller for the photovoltaic system.

Keywords

ANFIS; Fuzzy Logic; HFFA; MATLAB; MPPT; photovoltaic; super-lift boost converter

Hrčak ID:

236816

URI

https://hrcak.srce.hr/236816

Publication date:

15.4.2020.

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