A Novel ANN-Based GMPPT Method for PV Systems Under Complex Partial Shading Conditions
Author:
Affiliation:
1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
2. Aalborg University, Aalborg, Denmark
3. AAU Energy, Aalborg University, Aalborg, Denmark
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/10367191/10148801.pdf?arnumber=10148801
Reference36 articles.
1. Novel Spline-MPPT Technique for Photovoltaic Systems Under Uniform Irradiance and Partial Shading Conditions
2. A Novel Spline Model Guided Maximum Power Point Tracking Method for Photovoltaic Systems
3. Reference-Voltage-Line-Aided Power Incremental Algorithm for Photovoltaic GMPPT and Partial Shading Detection
4. Adaptive Neural Controller for Unknown Standalone Photovoltaic Distributed Generation Systems with Unknown Disturbances
5. Optimal Energy Management of Hydrogen Energy Facility Using Integrated Battery Energy Storage and Solar Photovoltaic Systems
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3. A Hybrid Approach for Photovoltaic Maximum Power Tracking under Partial Shading Using Honey Badger and Genetic Algorithms;Energies;2024-08-08
4. Experimental validation of a low-cost maximum power point tracking technique based on artificial neural network for photovoltaic systems;Scientific Reports;2024-08-07
5. Energy Management Strategy for Distributed Photovoltaic 5G Base Station DC Microgrid Integrated with the CF-P&O-INC MPPT Algorithm;Energies;2024-07-02
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