An Improved Maximum Power Point Tracking Method

Xue Cheng Zhao; Yi Rui Zhao; Yu Hong Zhao

doi:10.4028/www.scientific.net/AMM.433-435.1250

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435An Improved Maximum Power Point Tracking Method

An Improved Maximum Power Point Tracking Method

Abstract:

A duty ratio perturbation based on improved genetic algorithm is proposed in this paper. It can overcome some shortcomings of traditional MPPT method, and can perfectly achieve a real-time adjustment for maximum power output. A simulation model is established on Matlab, feasibility and validity of the method is verified.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

1250-1253

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.1250

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Online since:

October 2013

Authors:

Xue Cheng Zhao, Yi Rui Zhao, Yu Hong Zhao

Keywords:

Duty Ratio, Improved Genetic Algorithm (IGA), Maximum Power Point Tracking (MPPT), Perturbation Method

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References

[1] CHENG Qi-ming, CHENG Yin-man, WANG Ming-mei, et al. Survey on MPPT methods of photovoltaic cells[J]. Journal of Shanghai Electric Power, 2009, 25(4): 346-352.

Google Scholar

[2] TANG Min, REN Qi, XIA Dong-wei. The maximum power point of solar cells based on genetic algorithm[J]. Power Electronics, 2008, 42 (4) : 39-40.

Google Scholar

[3] Xuan Guangnan，Cheng Runwei．Genetic algorithms and engineering optimization[M]. Beijing ： Tsinghua University Press, 2004: 1-13, 21-30(in Chinese).

Google Scholar

[4] Wang Xiaoping, Cao Liming. Theory and application of genetic algorithms and its software implementation[M]. Xi'an：Xi'an Jiaotong University Press, 2002: 1-50(in Chinese).

Google Scholar