NDLI: An Improved Method to Predict the Position of Maximum Power Point During Partial Shading for PV Arrays

Content Provider	IEEE Xplore Digital Library
Author	Ahmed, J. Salam, Z.
Copyright Year	2005
Abstract	For a photovoltaic (PV) system, it is widely assumed that the peaks of a partially shaded P-V curve are located at the multiples of 0.8V_oc, where V_oc is the open-circuit voltage of the PV module. However, this assumption - known as the of 0.8V_oc model for partial shading - is not necessarily true. If the same model is used to design the maximum power point tracker (MPPT), it is very likely that the algorithm will scan the wrong region of the P-V curve and, hence, an incorrect global peak detection. This paper attempts to prove the inadequacy of the 0.8V_oc model when the number of modules in the string increases. Further, the work suggests a simple relationship to predict the correct position of the peaks. It is found that for a string of 20 modules (V_oc of 400 V), the maximum deviation between the actual and computed peak is less than 3 V, while for the 0.8V_oc model, the deviation reaches up to 50 V. In addition, using the proposed method, the MPPT efficiency can be improved by approximately 2%.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	1378
Ending Page	1387
Page Count	10
File Size	2238934
File Format	PDF
ISSN	15513203
Volume Number	11
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum power point trackers Computational modeling Mathematical model Resistance Informatics Photovoltaic systems tracking Maximum power point (MPP) MPP tracker (MPPT) partial shading peak prediction model PV solar
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

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