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

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.

Country : India

1 Mood Chandrakala2 M. Damodar Reddy3 Venkata Anjani kumar G

  1. Post Graduate Student, Department of E.E.E., Sri Venkateswara University College of Engineering, Tirupati- 517502, India
  2. Professor, Department of E.E.E., Sri Venkateswara University College of Engineering, Tirupati -517508, India
  3. Assistant Professor, Department of E.E.E., Rajiv Gandhi University of Knowledge Technologies, Ongole -523225, India

IRJIET, Volume 9, Issue 11, November 2025 pp. 388-398

doi.org/10.47001/IRJIET/2025.911044

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