Digital ripple correlation control for photovoltaic applications
PESC Record - IEEE Annual Power Electronics Specialists Conference, ISSN: 0275-9306, Page: 1690-1694
2007
- 31Citations
- 153Usage
- 18Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations31
- Citation Indexes31
- 31
- CrossRef13
- Usage153
- Downloads149
- Abstract Views4
- Captures18
- Readers18
- 18
Conference Paper Description
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. © 2007 IEEE.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=48349109130&origin=inward; http://dx.doi.org/10.1109/pesc.2007.4342252; http://ieeexplore.ieee.org/document/4342252/; http://xplorestaging.ieee.org/ielx5/4341939/4341940/04342252.pdf?arnumber=4342252; https://scholarsmine.mst.edu/ele_comeng_facwork/706; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=1705&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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