Technical gazette, Vol. 26 No. 1, 2019.
Original scientific paper
https://doi.org/10.17559/TV-20180721153103
A MPPT Method based on Improved Fibonacci Search Photovoltaic Array
Jun-Hong Zhang
; School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China
Xue-Ye Wei
; Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, 100044, China
Liang Hu
; Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, 100044, China
Jian-Guang Ma
; Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, 100044, China
Abstract
The P-U curve of photovoltaic arrays (PVAs) has multi-peak characteristics under uneven illumination environments, and the maximum power point tracking (MPPT) strategy for the single peak may fail. An improved Fibonacci search algorithm is proposed to carry out MPPT of photovoltaic arrays under uniform illumination or light mutation. A multiple-interval search algorithm based on a circuit analysis method is presented for different topology arrays and illumination distributions. The series array analysis adopts the current analysis method, the parallel array analysis adopts the voltage analysis method, and the series and parallel array analysis adopts the current and voltage analysis method; then, the output control volume is determined, and the search interval is divided. The search steps in the Fibonacci method and the real-time changes of parameters in the optimization process can be observed by MATLAB simulation. Experimental results show that the algorithm uses less computation time and small area search instead of global search.
Keywords
circuit analysis method; Fibonacci search; MATLAB simulation; maximum power point tracking; photovoltaic array
Hrčak ID:
217103
URI
Publication date:
16.2.2019.
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