Study of Maximum Power Point Tracking Control Based on GRNN Neural Network

Kun Liu; Tong Zhou Ji; Xian Yun Li; Xiong Feng He; Mei Zhang

doi:10.4028/www.scientific.net/AMR.989-994.3427

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Study of Maximum Power Point Tracking Control...

Study of Maximum Power Point Tracking Control Based on GRNN Neural Network

Abstract:

detailed analysis of mathematical model, expounded maximum power point tracking (MPPT) control principle, then a improved constant voltage tracking of maximum power point tracking control based on GRNN neural network is proposed, this control strategy uses predicted voltage of GRNN neural network to instead of constant voltage, has be simulated in Matlab /Simulink, and result is this MPPT method can be more accurate compared to traditional control strategy.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3427-3432

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3427

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Online since:

July 2014

Authors:

Kun Liu*, Tong Zhou Ji, Xian Yun Li, Xiong Feng He, Mei Zhang

Keywords:

Maximum Power Point Tracking (MPPT), Neural Network (NN), Photovoltaic Cells

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* - Corresponding Author

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