Title: Signal-flow graph analysis and implementation of novel power tracking algorithm using fuzzy logic controller

Authors: S. Venkatesan; M. Saravanan; S. Venkatanarayanan

Addresses: Department of Electrical and Electronics Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi-630003,Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai-625015,Tamil Nadu, India ' Department of Electrical and Electronics Engineering, KLN College of Engineering, Madurai, Tamil Nadu, India

Abstract: This paper discussed merits of novel modified perturb and observe (P&O) maximum power point tracker (MPPT) algorithm for stand-alone solar PV system using interleaved LUO converter with fuzzy logic controller (FLC). The merits of FLC based system are compared with existing system. Analytical expressions of the proposed converter are derived through signal flow graph. The proposed interleaved LUO converter based PV system with fuzzy controller reduces considerable amount of ripple content and also proposed MPPT algorithm creates less hunting around maximum power point. Simulations at different illumination levels are carried-out using MATLAB/Simulink. It also experimentally verified with a typical 40 W solar PV panel. The result confirms the superiority of the proposed system with fuzzy controller.

Keywords: fuzzy logic controller; interleaved LUO converter; maximum power point tracking; MPPT; modified P&O algorithm; photovoltaic (PV) system.

DOI: 10.1504/IJBIDM.2021.111742

International Journal of Business Intelligence and Data Mining, 2021 Vol.18 No.1, pp.88 - 108

Received: 25 Feb 2018
Accepted: 27 May 2018
Published online: 14 Dec 2020 *

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