Adaptive Dual Maximum Power Point Tracking Algorithm For Pv Dc-Dc Conversion Stage
Keywords
DC-DC converter; Efficiency; Maximum power point tracking; Photovoltaic; Switching frequency
Abstract
This paper proposes an adaptive dual maximum power point tracking (DMPPT) algorithm to maximize the energy harvested from a photovoltaic (PV) source. The proposed method tracks the maximum power from the PV source and the maximum efficiency of the DC-DC converter by perturbing both the PV voltage and the DC-DC converter switching frequency, and then observing the output power of the converter. The proposed method is very fast since it uses adaptive variable step sizes through the search loop. The proposed method employs various termination techniques that avoids, to a great extent, false termination of the search algorithm when local maximum points are detected. Moreover, the proposed method guarantees convergence and is very simple to implement. Derivation of the proposed technique followed by experimental verification are presented.
Publication Date
12-3-2018
Publication Title
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
Number of Pages
7-11
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ECCE.2018.8557510
Copyright Status
Unknown
Socpus ID
85060310354 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85060310354
STARS Citation
Hussein, Ala A.; Pise, Anirudh; Chen, Xi; and Batarseh, Issa, "Adaptive Dual Maximum Power Point Tracking Algorithm For Pv Dc-Dc Conversion Stage" (2018). Scopus Export 2015-2019. 7592.
https://stars.library.ucf.edu/scopus2015/7592