Global Maximum Power Point Tracking in Dynamic Partial Shading Conditions Using Ripple Correlation Control
Author:
Affiliation:
1. Electrical Engineering and Computer Science, The University of Toledo, Toledo, OH, USA
2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Funder
Jet Propulsion Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/28/10077489/09980393.pdf?arnumber=9980393
Reference42 articles.
1. A Rapid Circle Centre-Line Concept-Based MPPT Algorithm for Solar Photovoltaic Energy Conversion Systems
2. Fast Artificial Neural Network Based Method for Estimation of the Global Maximum Power Point in Photovoltaic Systems
3. Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems
4. Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking
5. A comparative study of an exponential adaptive perturb and observe algorithm and ripple correlation control for real-time optimization
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2. Wavelet and Signal Analyzer Based High- Frequency Ripple Extraction in the Context of MPPT Algorithm in Solar PV Systems;IEEE Access;2024
3. Improved Global Maximum Power Point Tracking Technique for a Partially Shaded Solar Photovoltaic Array Using Capacitor Transient Effect;IEEE Transactions on Industrial Informatics;2024
4. An improved 0.8Voc$$ {V}_{oc} $$ model‐based global maximum power point tracking algorithm for photovoltaic system;International Journal of Circuit Theory and Applications;2023-11-27
5. Kakuro Grid for Improving Photovoltaic Modules using Optimal Partial Shading;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15
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