Veerachary, M., Senjyu, T. and Uezato, K. (2003) Neural Network-Based Maximum- Power-Point Tracking of Coupled-Inductor Interleaved-Boost-Converter-Supplied PV System Using Fuzzy Controller. IEEE Transactions on Industrial Electronics, 50, 749-758.
https://doi.org/10.1109/TIE.2003.814762

has been cited by the following article:

• TITLE: Novel Switch Adaptive Control to Improve the Efficiency of Boost Converter in Photovoltaic Systems

  AUTHORS: Saleh Elkelani Babaa

  KEYWORDS: Photovoltaic (PV) System, DC-DC Power Conversion, Maximum Power Point Tracking (MPPT), Efficiency

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.5 No.7, July 7, 2017

  ABSTRACT: The efficiency of photovoltaic power generation is affected by the changeable weather conditions. This paper improves the efficiency of a standalone PV system over a wider range of operating conditions by employing novel switch adaptive control to an interleaved boost converter. With various loads, simulation and experimental results show that the interleaved boost converter with novel switch adaptive control offers better performance and higher conversion efficiency under changeable weather conditions.