MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC AND THERMOELECTRIC HYBRID POWER GENERATION SYSTEM BASED ON ISAO

Pi Linlin; Tian Liguo

doi:10.19912/j.0254-0096.tynxb.2023-2014

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (4) : 248-255. DOI: 10.19912/j.0254-0096.tynxb.2023-2014

MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC AND THERMOELECTRIC HYBRID POWER GENERATION SYSTEM BASED ON ISAO

Pi Linlin^1,2, Tian Liguo¹

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Abstract

The photovoltaic thermoelectric generation system exhibits multiple peaks in the power voltage characteristic curve under partial shadow conditions, and traditional methods are prone to fall into local values, resulting in a decrease in the system’s power generation. Although the intelligent algorithms can track the global maximum value, the tracking time is too long, resulting in energy loss. A maximum power point tracking （MPPT） method for photovoltaic thermoelectric generation system （PV-TEG） based on improved snow ablation optimizer （ISAO） was proposed to address the above issues. Firstly, an initial position strategy based on the characteristics of PV-TEG was designed to achieve better adaptation values for the initial position; Secondly, based on the original position update strategy of SAO, a dynamic parameter adjustment mechanism based on population boundary range is introduced, and an improved exploit search method is designed to achieve dynamic balance between global and local search capabilities. Finally, through simulation and experimental analysis, it is demonstrated that the proposed method has better tracking ability compared to particle swarm optimization （PSO）.

Key words

photovoltaic thermoelectric generation / maximum power point tracking / local shadow / improved snow ablation optimizer

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Pi Linlin, Tian Liguo. MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC AND THERMOELECTRIC HYBRID POWER GENERATION SYSTEM BASED ON ISAO[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 248-255 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2014

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