Title: Modelling and simulation of fuzzy-based MPPT control of grid connected PV system under variable load and irradiance

Authors: Subhashree Choudhury; Pravat Kumar Rout

Addresses: Department of EEE, Siksha 'O' Anusandhan, Deemed to be University, Bhubaneswar-751030, Odisha, India ' Department of EEE, Siksha 'O' Anusandhan, Deemed to be University, Bhubaneswar-751030, Odisha, India

Abstract: The photovoltaic (PV)-based distribution generation system has a nonlinear power characteristic curve under random variation in solar irradiance, ambient temperature and electric load. As a result, for the accurate detection and tracking of the maximum power points (MPPs), it is necessary to design an optimal controller with dynamic control capability. As solution to the above issue, this paper presents an intelligent Mamdani-based fuzzy logic controller (M-FLC) for maximum power point tracking (MPPT) of a PV system. Different test cases with respect to different possible load and irradiance variations in grid connected mode of operation are investigated. To confirm the power quality indices within IEEE standards specification, fast Fourier transform (FFT) analysis of voltage and current at the point of common coupling has been done. A detailed comparison has been made in between PV without MPPT, with incremental conductance and proposed fuzzy logic control (FLC). The results show an enhance efficiency of energy production from PV and reflects the effectiveness of the proposed scheme justifying its real time application.

Keywords: photovoltaic (PV) array; maximum power point tracking; MPPT; dc-dc boost converter; incremental conductance; IC; Mamdani-based fuzzy logic controller; M-FLC; fast Fourier transform; FFT.

DOI: 10.1504/IJISTA.2019.102662

International Journal of Intelligent Systems Technologies and Applications, 2019 Vol.18 No.6, pp.531 - 559

Received: 10 Jul 2017
Accepted: 17 Dec 2017
Published online: 01 Oct 2019 *

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