Abdullah, Mohanad Omar, Hassan, Mohammed Y. and Saeed, Nagham ORCID: https://orcid.org/0000-0002-5124-7973 (2025) Intelligent maximum power point tracking for PV control based on incremental conductance algorithm. In: International Universities Power Engineering Conference (UPEC), 02-05 Sept 2025, London, United Kingdom.

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Abstract

his paper presents an intelligent Maximum Power Point Tracking (MPPT) strategy to enhance the efficiency of photovoltaic (PV) systems, particularly in the context of meeting the energy demands of developing countries through sustainable solar energy. Traditional MPPT methods, such as Perturb and Observe (P&O) and Incremental Conductance (INC), often struggle with issues like steady-state oscillations, drift, and slow dynamic response under rapidly changing irradiance, leading to considerable power losses. To address these challenges, a fuzzy logic-based MPPT approach is proposed, integrating the INC algorithm for estimating the maximum power point voltage (Vmpp) with a Fuzzy Logic Controller (FLC). The FLC uses the error and change in error between Vmpp and the actual PV voltage (Vpv) to generate an adaptive change in the duty cycle (ΔD), which in turn controls an interleaved boost converter. To further enhance adaptability and tracking precision, the input and output scaling factors of the FLC are optimally tuned using the Grey Wolf Optimizer (GWO). Simulation results validate the proposed method, showing rapid convergence to the MPP, minimal steady-state oscillations, and high tracking efficiency up to 99.9% even under dynamically varying irradiance conditions

Item Type:	Conference or Workshop Item (Paper)
ISBN:	979-8-3315-6520-6
Identifier:	10.1109/UPEC65436.2025.11279867
Keywords:	MPPT, Fuzzy Logic Controller, Incremental Conductance, Interleaved Boost Converter, Grey Wolf Optimizer.
Subjects:	Construction and engineering > Electrical and electronic engineering
Date Deposited:	30 Sep 2026
Dates:	Date Publication status 2 September 2025 Presented 15 December 2025 Published
School, department or research centre:	School of Computing and Engineering
Keywords:	MPPT, Fuzzy Logic Controller, Incremental Conductance, Interleaved Boost Converter, Grey Wolf Optimizer.
URI:	https://repository.uwl.ac.uk/id/eprint/15478

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