RESEARCH ON PHOTOVOLTAIC MULTI-PEAK MPPT BASED ON IFTTA-INC HYBRID ALGORITHM

Wang Qi; Zhang Jinhua; Zhao Minzheng; Wang Xiaoliang

doi:10.19912/j.0254-0096.tynxb.2025-1030

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 110-120. DOI: 10.19912/j.0254-0096.tynxb.2025-1030

RESEARCH ON PHOTOVOLTAIC MULTI-PEAK MPPT BASED ON IFTTA-INC HYBRID ALGORITHM

Wang Qi¹, Zhang Jinhua¹, Zhao Minzheng², Wang Xiaoliang¹

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Abstract

For photovoltaic arrays under complex shading conditions, the power-voltage （P-U） characteristic curve exhibits multiple peaks, making it difficult to sustain maximum power point output. To address this problem, a novel hybrid algorithm, termed the improved football team training algorithm with incremental conductance （IFTTA-INC）, is proposed. In the initial stage, adaptive oscillating inertia weight factors and adaptive bilateral factors are incorporated into the football team training algorithm （FTTA） to enhance global search capability and avoid local optima. In the subsequent stage, the incremental conductance （INC） method is employed for local search, effectively suppressing frequent oscillations and improving tracking accuracy. Simulation experiments are conducted in MATLAB/Simulink and compared against the particle swarm optimization （PSO）, grey wolf optimizer （GWO）, improved football team training algorithm （IFTTA）, and INC methods. The results demonstrate that the proposed algorithm not only achieves faster tracking speed and higher accuracy but also exhibits superior robustness, thereby enabling efficient maximum power point tracking.

Key words

maximum power point trackers / simulation platform / robustness / football team training algorithm / adaptive oscillating inertia weighting factor / adaptive bilateral factor

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Wang Qi, Zhang Jinhua, Zhao Minzheng, Wang Xiaoliang. RESEARCH ON PHOTOVOLTAIC MULTI-PEAK MPPT BASED ON IFTTA-INC HYBRID ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 110-120 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1030

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