Hybrid global maximum power point tracking algorithm under partial shading condition
Author:
Affiliation:
1. School of Software, South China Normal University, Foshan, China
2. School of Computer Science, South China Normal University, Guangzhou, China
Funder
Project of Industrial Technology Major Research of Guangzhou
National Natural Science Foundation of China
Guangdong Science and Technology Department
Guangzhou Science and Technology Program key projects
Publisher
AIP Publishing
Subject
Renewable Energy, Sustainability and the Environment
Link
http://aip.scitation.org/doi/pdf/10.1063/1.5041370
Reference27 articles.
1. Increasing efficiency of photovoltaic systems under non-homogeneous solar irradiation using improved Dynamic Programming methods
2. Modeling and global maximum power point tracking for photovoltaic system under partial shading conditions using modified particle swarm optimization algorithm
3. A Modified P&O Maximum Power Point Tracking Method With Reduced Steady-State Oscillation and Improved Tracking Efficiency
4. Evaluation of the Main MPPT Techniques for Photovoltaic Applications
5. Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques
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