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Photovoltaic maximum power point tracking based on IPSO-IP&O hybrid algorithm
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Zhiheng QIN, Lei REN, Ling QIN, Jingfeng MAO
Thermal Power Generation | 2023, 52(12) : 90 - 97
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Thermal Power Generation | 2023, 52(12): 90-97
• Thermal energy science research •
Photovoltaic maximum power point tracking based on IPSO-IP&O hybrid algorithm
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Zhiheng QIN, Lei REN, Ling QIN, Jingfeng MAO
Affiliations
  • College of Electrical Engineering, Nantong University, Nantong 226019, China
Published: 2023-12-25 doi: 10.19666/j.rlfd.202305068
Outline
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Under partial shading conditions (PSC), the P-U characteristics of a solar photovoltaic array may exhibit multi-peak phenomena. Conventional algorithms tend to fall into local maximum power point (LMPP), while maximum power point tracking (MPPT) methods based on meta heuristic algorithms are difficult to balance speed and accuracy. In this regard, this paper designs a hybrid algorithm based on the improved particle swarm optimization (IPSO) with embedded the improved perturbation and observation (IP&O). The velocity and position of the particle are first updated by the IPSO algorithm. Then, perform MPPT based on the position of particles using the IP&O algorithm. The tracked power is used as the fitness value of the particles, so that IPSO can find the global maximum power point (GMPP) among many LMPPs. Finally, with the global optimal output of IPSO as the initial position, IP&O is used again for global maximum power point tracking (GMPPT). Comparing the proposed algorithm with IP&O, IPSO, and IPSO-P&O through simulation, the simulation results show that the proposed algorithm performs excellently in tracking speed and accuracy, especially in the case of a wide voltage search range, and has smaller power oscillations during the tracking process.

photovoltaic systems  /  maximum power point tracking  /  partial shading  /  improved particle swarm optimization algorithm  /  improved perturbation and observation algorithm
Zhiheng QIN, Lei REN, Ling QIN, Jingfeng MAO. Photovoltaic maximum power point tracking based on IPSO-IP&O hybrid algorithm[J]. Thermal Power Generation, 2023 , 52 (12) : 90 -97 . DOI: 10.19666/j.rlfd.202305068
Funding
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  • Natural Science Foundation of the Jiangsu Higher Education Institutions of China(22KJB470025)
  • Nantong Social Livelihood Science and Technology Plan General Project(MS12021015)
Appendix
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Year 2023 volume 52 Issue 12
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Article Info
doi: 10.19666/j.rlfd.202305068
  • Receive Date：2023-05-05
  • Online Date：2026-01-26
  • Published：2023-12-25
Article Data
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  • Received：2023-05-05
Funding
Natural Science Foundation of the Jiangsu Higher Education Institutions of China(22KJB470025)
Nantong Social Livelihood Science and Technology Plan General Project(MS12021015)
Affiliations
    College of Electrical Engineering, Nantong University, Nantong 226019, China
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表12种不同金属材料的力学参数
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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