An improved MPPT method for photovoltaic systems based on mayfly optimization algorithm

Because the traditional maximum power point tracking (MPPT) of photovoltaic (PV) array is easy to fail in complex environment, and the existing intelligent optimization algorithms have shortcomings such as slow convergence speed, low convergence precision and poor stability. Therefore, this paper pr...

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Bibliographic Details
Published in:Energy reports Vol. 8; pp. 141 - 150
Main Authors: Mo, Shixun, Ye, Qintao, Jiang, Kunping, Mo, Xiaofeng, Shen, Gengyu
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.08.2022
Elsevier
Subjects:
Local shading
MATLAB/SIMULINK
Maximum power tracking
Mayfly algorithm
Photovoltaic array
MATLAB/SIMULINK
Mayfly algorithm
Maximum power tracking
Local shading
Photovoltaic array
ISSN:2352-4847, 2352-4847
Online Access:Get full text
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Summary:Because the traditional maximum power point tracking (MPPT) of photovoltaic (PV) array is easy to fail in complex environment, and the existing intelligent optimization algorithms have shortcomings such as slow convergence speed, low convergence precision and poor stability. Therefore, this paper proposes a new intelligent optimization algorithm MPPT tracking method. Based on mayfly intelligent optimization algorithm, this method can track the maximum power point (MPP) of PV system by two populations, which can quickly and accurately track MPP of PV system under complex environmental conditions. By using Matlab/Simulink simulation platform, the method was studied under uniform illumination and non-uniform illumination respectively, and its effectiveness was verified. Compared with the particle swarm optimization algorithm (PSO), its superiority is verified.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2022.02.160