Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm
نویسندگان
چکیده
The efficiency of a photovoltaic (PV) system under partial shading conditions (PSCs) is primarily determined by how the PV panels are connected to load. Various architectures have been developed improve power processing capability and thus conversion efficiency. In this article, central string architecture considered, performance characteristics obtained using optimization techniques such as gray wolf (GWO) flower pollination algorithm (FPA) in MATLAB/Simulink. simulation results show that GWO outperform with both FPA.
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2022
ISSN: ['1026-7077', '1563-5147', '1024-123X']
DOI: https://doi.org/10.1155/2022/5803771