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Photovoltaic MPPT control under local shade based on improved TSO algorithm
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Fubao ZHU1, Wenlong FU1, 2, Hairong ZHANG3, Chuanfeng WU1, Yuguang HUANG1, Renming WANG1, 2
Thermal Power Generation | 2024, 53(6) : 30 - 38
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Thermal Power Generation | 2024, 53(6): 30-38
• New energy power generation technology •
Photovoltaic MPPT control under local shade based on improved TSO algorithm
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Fubao ZHU1, Wenlong FU1, 2, Hairong ZHANG3, Chuanfeng WU1, Yuguang HUANG1, Renming WANG1, 2
Affiliations
  • 1.College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
  • 2.Hubei Key Laboratory of Cascaded Hydropower Station Operation & Control, Three Gorges University, Yichang 443002, China
  • 3.China Yangtze Power Company Limited, Yichang 443133, China
Published: 2024-06-25 doi: 10.19666/j.rlfd.202401043
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The P-U characteristic curve of a photovoltaic array exhibits multi-peak characteristics in partially shaded environments, leading to the inefficiency of conventional maximum power point tracking (MPPT) algorithm in tracking the maximum power. To address this issue, this paper proposes a two-layer control model for photovoltaic MPPT based on an improved tuned swarm optimization (TSO) algorithm. In the upper layer, the Levy flight strategy and polynomial mutation strategy are embedded into tuna algorithm, creating the Levy-polynomial mutation tuna swam optimization (LPTSO) to search for the global maximum power point. In the lower layer, the perturbation observation method is employed to locally track the global maximum power point, thereby reducing power oscillations in local shading environments. The two-layer control model is applied to the photovoltaic MPPT simulation system, and the simulation experimental results show that, for multi-peak MPPT control, the proposed model achieves significant improvements in convergence speed, tracking efficiency, power oscillations, etc. In conclusion, the proposed two-layer control model for photovoltaic MPPT effectively addresses the issue of maximum power tracking failure in partially shaded environments.

photovoltaic array  /  local shading  /  maximum power point tracking  /  tuna algorithm  /  perturbation observation method
Fubao ZHU, Wenlong FU, Hairong ZHANG, Chuanfeng WU, Yuguang HUANG, Renming WANG. Photovoltaic MPPT control under local shade based on improved TSO algorithm[J]. Thermal Power Generation, 2024 , 53 (6) : 30 -38 . DOI: 10.19666/j.rlfd.202401043
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  • Natural Science Foundation of Hubei Province(2022CFD170)
Appendix
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Year 2024 volume 53 Issue 6
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Article Info
doi: 10.19666/j.rlfd.202401043
  • Receive Date：2024-01-24
  • Online Date：2026-01-07
  • Published：2024-06-25
Article Data
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History
  • Received：2024-01-24
Funding
Natural Science Foundation of Hubei Province(2022CFD170)
Affiliations
    1.College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
    2.Hubei Key Laboratory of Cascaded Hydropower Station Operation & Control, Three Gorges University, Yichang 443002, China
    3.China Yangtze Power Company Limited, Yichang 443133, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202401043
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