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MPPT control technology for photovoltaic power generation system based on ISSA–P&O algorithm
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Xiaofeng Li1, Qi Yang1, Mingkun Jiang1, Hao Ni1, Xun Wang1, Wenxing Jin2
Renewable Energy Resources | 2025, 43(3) : 400 - 407
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Renewable Energy Resources | 2025, 43(3): 400-407
MPPT control technology for photovoltaic power generation system based on ISSA–P&O algorithm
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Xiaofeng Li1, Qi Yang1, Mingkun Jiang1, Hao Ni1, Xun Wang1, Wenxing Jin2
Affiliations
  • 1 SPIC Qinghai Photovoltaic Industry Innovation Center Co., Ltd. Qinghai 810008 China
  • 2 School of Electrical Engineering Southeast University Nanjing 210096 China
Published: 2025-03-20
Outline
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The uneven illumination intensity causes the output curve of the photovoltaic array to be a multimodal curve, and the traditional maximum power point tracking (MPPT) control algorithm cannot track the global maximum power. Based on this, a MPPT control method for photovoltaic power generation systems is proposed, which is based on the improved sparrow search algorithm (ISSA) and disturbance and observation method (P&O). Firstly, in the early stage of tracking, chaotic mapping is used to increase the diversity of ISSA population and enhance the algorithm's wide search ability. To prevent the algorithm from getting stuck in local optima, the firefly perturbation algorithm is used to perturb and update individual sparrows. Secondly, in the later stage of tracking, P&O is used to prevent the system from oscillating near the maximum power point, ensuring stable output at the maximum power point. Finally, through numerical analysis, the proposed MPPT control method achieves fast tracking and accurate output in different scenarios, and can be well applied in photovoltaic hybrid power generation systems.

photovoltaic array  /  maximum power point tracking  /  improve the sparrow search algorithm  /  perturbation and observation method  /  firefly perturbation algorithm
Xiaofeng Li, Qi Yang, Mingkun Jiang, Hao Ni, Xun Wang, Wenxing Jin. MPPT control technology for photovoltaic power generation system based on ISSA–P&O algorithm[J]. Renewable Energy Resources, 2025 , 43 (3) : 400 -407 .
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Year 2025 volume 43 Issue 3
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Article Info
  • Receive Date：2024-07-05
  • Online Date：2025-07-18
  • Published：2025-03-20
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  • Received：2024-07-05
Funding
Affiliations
    1 SPIC Qinghai Photovoltaic Industry Innovation Center Co., Ltd. Qinghai 810008 China
    2 School of Electrical Engineering Southeast University Nanjing 210096 China
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