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A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks

โœ Scribed by Chun-hua Li; Xin-jian Zhu; Guang-yi Cao; Wan-qi Hu; Sheng Sui; Ming-ruo Hu

Book ID
111841382
Publisher
SP Zhejiang University Press
Year
2009
Tongue
English
Weight
394 KB
Volume
10
Category
Article
ISSN
1009-3095

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A maximum power point tracker for photov
A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks
โœ Chun-hua Li; Xin-jian Zhu; Guang-yi Cao; Wan-qi Hu; Sheng Sui; Ming-ruo Hu ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› SP Zhejiang University Press ๐ŸŒ English โš– 394 KB

To extract the maximum power from a photovoltaic (PV) energy system, the real-time maximum power point (MPP) of the PV array must be tracked closely. The non-linear and time-variant characteristics of the PV array and the non-linear and non-minimum phase characteristics of a boost converter make it