Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (3): 70-76.doi: 10.3969/j.issn.2097-0706.2022.03.011

• Intelligent Power • Previous Articles     Next Articles

MPPT for PV systems appended with centripetal attribute based on improved PSO algorithm

LI Xujiong1(), SUN Linhua1, YANG Guoming2   

  1. 1. Meteorological College,Lanzhou Recource & Environment Voc-tech University,Lanzhou 730021,China
    2. Lanzhou Electric Power Supply Company,State Grid Gansu Electric Power Company,Lanzhou 730070,China
  • Received:2021-09-15 Revised:2021-11-15 Published:2022-03-25

Abstract:

In the study on the flocking behavior of birds,it is observed that birds fly randomly at the initial stage,but the peripheral ones show the tendency to move to the core of the flock as time goes.Combining this attribute with the traditional particle swarm algorithm,the improved PSO algorithm is of better global exploitation and local exploration capacities.The performances of different algorithms are measured and compared based on the PV array modeling under various illumination conditions.The results demonstrate that the proposed algorithm can find the global maximum power point quickly and stably under partial shading and changing illumination conditions, and solve the problem that traditional maximum power point tracking (MPPT)are prone to falling into local optima.

Key words: photovoltaic power generation, improved PSO algorithm, MPPT, computer simulation

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