MPPT of PV array using stepped-up chaos optimization algorithm

In order to achieve maximum efficiency, a maximum power point tracking (MPPT) scheme should be applied in photovoltaic systems. Among all the MPPT schemes, the chaos optimization scheme is one of the hot topics in recent years. In this study, a novel stepped-up chaos optimization algorithm is presented. A chaos mapping $x_{n+1} =\mu \sin (\pi x_{n} )$ is used as a chaos generator to produce a chaos variable. In the process of MPPT, a coarse search is done to find the current optimal solution in a certain range, and then a fine search reduces the space of optimized variables. Compared with the algorithm of traditional chaos searches, the proposed algorithm is more accurate and can respond quickly. Simulation and experimental results confirm the goodness of the proposed algorithm.

MPPT of PV array using stepped-up chaos optimization algorithm

In order to achieve maximum efficiency, a maximum power point tracking (MPPT) scheme should be applied in photovoltaic systems. Among all the MPPT schemes, the chaos optimization scheme is one of the hot topics in recent years. In this study, a novel stepped-up chaos optimization algorithm is presented. A chaos mapping $x_{n+1} =\mu \sin (\pi x_{n} )$ is used as a chaos generator to produce a chaos variable. In the process of MPPT, a coarse search is done to find the current optimal solution in a certain range, and then a fine search reduces the space of optimized variables. Compared with the algorithm of traditional chaos searches, the proposed algorithm is more accurate and can respond quickly. Simulation and experimental results confirm the goodness of the proposed algorithm.

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  • From Figures 8–13, we can see that, while the environmental conditions change, the voltage and current of the PV array quickly respond and overshoot less; the PV system will rapidly track the change smoothly and ultimately steadily around the new MPP. 5. Conclusion
Turkish Journal of Electrical Engineering and Computer Science-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
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