A Modified Fibonacci Search Algorithm for Maximum Power Point Tracking of Photovoltaic System Under Partial Shading Conditions

Akshaya K. Pati and Nirod C. Sahoo


Fibonacci Search Algorithm, MPPT, Partial Shading, Photovoltaic Array


The performance of Photovoltaic (PV) power system mainly depends on solar insolation and temperature. However, sometimes the performances of the PV systems are affected by partial shading of solar module due to cloud, dust, trees and some other nearby shading objects. During partial shading conditions, the PV characteristics exhibit local and global power maxima. Conventional maximum power point tracking (MPPT) algorithms fail to track the global maximum power point under above operating scenario. A new MPPT algorithm based on two important factors, i.e., study of power versus voltage characteristics of the PV array during partial shading condition and modified Fibonacci search algorithm, is proposed in this paper. The proposed algorithm is better than the conventional Fibonacci search algorithm in terms of power tracking capability of the PV system. Thus, the present proposition is more suitable for both uniform insolation and partial shading conditions. In this study, the PV system is connected with a DC motor and a battery through a bidirectional power converter. Modelling and simulation of the proposed algorithm are implemented on MATLAB/SIMULINK platform and the results are analyzed for validity of the proposed algorithm.

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