APPLICATION OF IMPROVED PSO WITH PARTIAL SHADING DETECTION IN PHOTOVOLTAIC MPPT

Zhang Shuhan; Xu Feng; Zhang Lijie; Li Lei; Zhang Qiyu

doi:10.19912/j.0254-0096.tynxb.2025-0040

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (5) : 762-770. DOI: 10.19912/j.0254-0096.tynxb.2025-0040

APPLICATION OF IMPROVED PSO WITH PARTIAL SHADING DETECTION IN PHOTOVOLTAIC MPPT

Zhang Shuhan¹, Xu Feng¹, Zhang Lijie¹, Li Lei², Zhang Qiyu³

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Abstract

To address the challenges of slow convergence speed, significant power fluctuations, and difficulties in real-time tracking encountered by photovoltaic maximum power point tracking （MPPT） control systems under dynamic irradiance conditions, this paper proposes an improved particle swarm optimization （IPSO） algorithm incorporating partial shading detection. The enhanced algorithm introduces an adaptive updating mechanism for the inertia weight w while eliminating random parameters r1 and r2 to streamline the velocity update equation. Through comprehensive analysis of the power output characteristics under partial shading conditions, the quantity and distribution patterns of particles have been optimized. Furthermore, a simplified partial shading detection method is developed based on the P-V curve characteristics of photovoltaic arrays under varying illumination conditions, which is subsequently integrated into the refined PSO algorithm. Experimental validation irradiance that the enhanced algorithm exhibits superior optimization capability and accelerated convergence during the tracking process, effectively mitigating power oscillations. The proposed methodology demonstrates exceptional dynamic performance in fluctuating light environments, exhibiting remarkable adaptability to diverse sudden irradiance change scenarios.

Key words

photovoltaic system / MPPT / particle swarm optimization algorithm / adaptive inertia weight / partial shading detection / sudden irradiance change

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Zhang Shuhan, Xu Feng, Zhang Lijie, Li Lei, Zhang Qiyu. APPLICATION OF IMPROVED PSO WITH PARTIAL SHADING DETECTION IN PHOTOVOLTAIC MPPT[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 762-770 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0040

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