International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Design of MPPT Controller for Photovoltaic Systems under Partial Shading Conditions Using SMA and GWO Algorithms

Mood ChandrakalaPost Graduate Student, Department of E.E.E., Sri Venkateswara University College of Engineering, Tirupati- 517502, IndiaM. Damodar ReddyProfessor, Department of E.E.E., Sri Venkateswara University College of Engineering, Tirupati -517508, IndiaVenkata Anjani kumar GAssistant Professor, Department of E.E.E., Rajiv Gandhi University of Knowledge Technologies, Ongole -523225, India

Vol 9 No 11 (2025): Volume 9, Issue 11, November 2025 | Pages: 388-398

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 26-11-2025

doi Logo doi.org/10.47001/IRJIET/2025.911044

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Abstract

The power–voltage (P–V) characteristic of photovoltaic (PV) systems operating under partial shading conditions (PSC) becomes highly nonlinear, resulting in several local maximum power points (LMPPs) that make many traditional maximum power point tracking (MPPT) techniques unable to locate the global maximum power point (GMPP) consistently. In this study, two advanced MPPT controllers based on the Grey Wolf Optimiser (GWO) and the Slime Mould Algorithm (SMA) are developed and evaluated for extracting maximum power from PV systems during both uniform irradiance (UI) and nonuniform irradiance (NUI) conditions. The performance of each controller is examined through MATLAB/Simulink simulations by analysing GMPP tracking accuracy, convergence time, and dynamic response. Experimental validation is performed using a real-time digital control hardware setup to assess the controllers under diverse irradiance conditions. Results show that while the SMA-based controller demonstrates good adaptability and effective exploration capability, the GWO-based controller offers superior tracking speed, improved stability, and more reliable identification of the GMPP. Overall, the comparative analysis confirms that GWO delivers the best performance among the evaluated algorithms for MPPT under partial shading.

Keywords

PV system, DC-DC Boost converter, MPPT, SMA algorithm, GWO algorithm, partial shading condition


Citation of this Article

Mood Chandrakala, M. Damodar Reddy, & Venkata Anjani kumar G. (2025). Design of MPPT Controller for Photovoltaic Systems under Partial Shading Conditions Using SMA and GWO Algorithms. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(11), 388-398 Article DOI https://doi.org/10.47001/IRJIET/2025.911044

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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