Title: Fuzzy logic-based MPPT scheme using maximum power point current estimation for PV array

Authors: Avinash Kumar Pandey; Varsha Singh; Sachin Jain

Addresses: Department of Electrical Engineering, National Institute of Technology Raipur, India ' Department of Electrical Engineering, National Institute of Technology Raipur, India ' Department of Electrical Engineering, National Institute of Technology Raipur, India

Abstract: This paper introduces a fuzzy logic-based maximum power point tracking (FL-MPPT) scheme using maximum power point current (MPPC) estimation for a photovoltaic (PV) array. This scheme provides a new input parameter 'E_r', which is derived using MPPC. The inclusion of 'E_r' with the slope of the power versus voltage curve 'E_s' helps to identify the operating point of the PV array and simplifies the MPPT. It also enables the precise movement of the operating point and reduces the number of fuzzy rules to just 13. These features improve the effectiveness of the scheme, especially under low and step-changing meteorological conditions (MCs) where conventional FL-MPPT schemes often struggle. The performance of the proposed scheme is examined by using the simulation and experimental results for dynamic MCs. Moreover, the proposed scheme is compared with the conventional FL-MPPT schemes, highlighting the advancements made by the proposed scheme.

Keywords: maximum power point current; MPPC; fuzzy logic-based maximum power point tracking; FL-MPPT; photovoltaic; PV; meteorological condition; MC.

DOI: 10.1504/IJPELEC.2025.148292

International Journal of Power Electronics, 2025 Vol.21 No.5, pp.417 - 440

Received: 19 Oct 2024
Accepted: 28 Mar 2025
Published online: 01 Sep 2025 *

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