Global Maximum Power Point Tracking Strategy based on BFO Method for Standalone PV System Under Partial Shading Conditions

被引：0
|
作者：
Dubuisson, F. [1 ]
Chandra, A. [1 ]
Rezkallah, M. [1 ,2 ]
Ibrahim, H. [2 ]
机构：
[1] Ecole Technol Super, Dept Elect Engn, Montreal, PQ, Canada
[2] Cegep Sept Iles, CR2Ie, Sept Iles, PQ, Canada
来源：
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2021年
关键词：
maximum power point tracking (MPPT); partial shading; global maximum power point tracking (GMPPT); BFO; photovoltaic (PV); MPPT; OPTIMIZATION; ALGORITHM; PERTURB;
D O I：
10.1109/IECON48115.2021.9589065
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the bacterial foraging optimization (BFO) method is developed to track the Global Maximum Power Point (GMPP) of a partially shaded PV system for a standalone PV system. This heuristic method emulates the behavior of E.coli bacteria and can be used to solve various complex problems. Voltage and current measured data are used as input to evaluate the operation point of the PV system and the BFO method can reach the GMPP within an appropriate time. Simulation results confirm the performance of the BFO method for GMMPT for different partial shading profiles of a PV system.
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页数：5
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