Title: Fuzzy-based MPPT control for solar PV applications

Authors: Ravindranath Tagore Yadlapalli

Addresses: Department of Electrical and Electronics Engineering, R.V.R. and J.C. College of Engineering, Chowdavaram, Guntur, A.P., 522019, India

Abstract: Nowadays, the solar energy is playing a vital role as compared to the fossil fuels due to their several advantages such as more reliable, inexhaustible, low running cost, creating job opportunities and energy independence. However, the solar-based power generation is affected by the atmospheric conditions. Therefore, the imperative aspect is to track maximum power from the solar PV panel with respect to the changing environmental conditions. This paper mainly focuses on the various MPPT techniques for the solar panel. It includes the implementation of the MPPT algorithms based on perturb and observe (P&O), incremental-conductance (INC) and fuzzy logic control (FLC). At first, the solar PV panel is modelled based on the single-diode model. The P-V and I-V curves are shown with different solar irradiation variations. The main objective here is to analyse the dynamics in terms of the tracking time as well as the steady state error. The exhaustive simulation results are presented for the boost converter based on the INC, P&O and FLC MPPT algorithms.

Keywords: solar panel; dynamics; fuzzy control.

DOI: 10.1504/IJICA.2023.134217

International Journal of Innovative Computing and Applications, 2023 Vol.14 No.4, pp.220 - 229

Received: 28 Jun 2022
Accepted: 05 Sep 2022
Published online: 13 Oct 2023 *

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