Abstract
Ripple correlation control (RCC) is a fast, robust online optimization technique. RCC is particularly suited for switching power converters, where the inherent ripple provides information about the system operating point. The present work examines a digital formulation that has reduced power consumption and greater robustness. A maximum power point tracker for a photovoltaic panel demonstrates greater than 99% tracking accuracy and fast convergence.
Recommended Citation
J. W. Kimball and P. T. Krein, "Digital Ripple Correlation Control for Photovoltaic Applications," Proceedings of the 38th IEEE Annual Power Electronics Specialists Conference (2007, Orlando, FL), pp. 1690 - 1694, Institute of Electrical and Electronics Engineers (IEEE), Jun 2007.
The definitive version is available at https://doi.org/10.1109/PESC.2007.4342252
Meeting Name
38th IEEE Annual Power Electronics Specialists Conference (2007: Jun. 17-21, Orlando, FL)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Correlation Control; Fast Convergence; Maximum Power Point Tracker; Maximum Power Point Tracking; On-Line Optimization; Operating Points; Optimal Control; Photovoltaic; Photovoltaic Applications; Reduced Power Consumption; Ripple Correlation Control; Switching Power Converters; Tracking Accuracy; Concrete Dams; Control Theory; Correlation Methods; Digital Arithmetic; Photovoltaic Effects; Power Converters; Robust Control; Robustness (Control Systems); Solar Power Generation; Power Electronics
International Standard Book Number (ISBN)
978-1424406548
International Standard Serial Number (ISSN)
0275-9306; 2377-6617
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jun 2007
Comments
This work was supported in part by the National Science Foundation under NSF Award ECS 06-21643.