A neural fuzzy based maximum power point tracker for a photovoltaic system

@article{Otieno2009ANF,
  title={A neural fuzzy based maximum power point tracker for a photovoltaic system},
  author={Christopher A. Otieno and George Nyauma Nyakoe and Cyrus Wabuge Wekesa},
  journal={AFRICON 2009},
  year={2009},
  pages={1-6}
}
The global electrical energy consumption is steadily rising and therefore there is need to increase the power generation capacity. The required capacity increase can be based on renewable energy. Photovoltaic energy remains a largely unexploited renewable energy source due to low conversion efficiency of the photovoltaic modules. To maximize the power derived from the PV systems it is important to operate the panel at its optimal power point by use of a maximum power point tracker (MPPT). MPPTs… CONTINUE READING
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