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Cited by 169

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Application of Centered Differentiation and Steepest Descent to Maximum Power Point Tracking

Weidong Xiao, Dunford, W.G., Palmer, P.R., Capel, A.·2007·IEEE Transactions on Industrial Electronics

Abstract

This paper concentrates on two critical aspects to improve the performance of maximum power point tracking (MPPT). One improvement is to accurately locate the position of the maximum power point (MPP) by using the centered differentiation. Another effort is to reduce the oscillation around the MPP in steady state by controlling active perturbations. This paper also adopts the method of steepest descent for MPPT, which shows faster dynamic response and smoother steady state than the method of hill climbing. Comprehensive experimental evaluations have successfully illustrated the effectiveness of the proposed algorithm.

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Metadata

Authors
Xiao, W., Dunford, W. G., Palmer, P. R., & Capel, A.
Venue
IEEE Transactions on Industrial Electronics
Published
2007-10
Volume
54
Issue
5
Pages
2539-2549
ISSN
0278-0046 (ISSN-L)
OpenAlex
W2139327983
Cited by
169
References
1
FWCI
7.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Application of Centered Differentiation and Steepest Descent to Maximum Power Point Tracking. https://app.cochat.ai/papers/10.1109/tie.2007.899922
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Xiao, W., Dunford, W. G., Palmer, P. R., & Capel, A. (2007). Application of Centered Differentiation and Steepest Descent to Maximum Power Point Tracking. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2007.899922

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.