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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Anggara Trisna Nugraha
1. National Chung Hsing University 2. Shipbuilding Institute of Polytechnic Surabaya
Electrical & Electronics Engineering

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Fractional tent map - chaotic horse herd optimization for global MPPT under partial shading conditions Rachma Prilian Eviningsih; Ewa Ari Irwansyah; Epyk Sunarno; Moh. Zaenal Efendi; Novie Ayub Windarko; Anggara Trisna Nugraha
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 17, No 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2026.1423

Abstract

Photovoltaic efficiency is frequently compromised by physical obstructions, resulting in partial shading conditions. This non-uniform irradiance condition severely distorts system characteristics by inducing multiple power peaks. This study proposes a novel fractional tent map-chaotic horse herd optimization (FTM-CHHO) algorithm for global maximum power point (GMPP). By integrating fractional-order memory and chaotic maps, FTM-CHHO enhances global search capabilities and prevents entrapment in local maxima. The method was rigorously validated through simulations and hardware experiments using a SEPIC converter. Simulations demonstrated that FTM-CHHO achieved 99.52 % to 100 % tracking accuracy with rapid convergence times of 0.32 to 0.62 s. Furthermore, hardware tests under real-world shading confirmed its robustness, maintaining 95.54 % to 98.26 % accuracy and converging within 10.1 s. FTM-CHHO significantly outperformed perturb and observe (P8O) and standard horse herd optimization (HHO). These findings confirm that FTM-CHHO provides a highly reliable, fast, and efficient solution for maximizing solar energy extraction under complex environmental variability.
Co-Authors Epyk Sunarno Ewa Ari Irwansyah Mohammad Zaenal Efendi Novie Ayub Windarko Rachma Prilian Eviningsih