Title

Statistical Modeling Of Dsp-Based Hill-Climbing Mppt Algorithms In Noisy Environments

Abstract

The effect of measurement noise on DSP-based maximum power point tracking (MPPT) algorithms is investigated in this paper. Based on the probabilistic characteristics of noise signals, a statistical model is constructed that allows quantitative analysis of the behavior of such algorithms both during transients and in steady-state. This model is then used to classify tracking problems into those presented by noise, and others resulting from other non-idealities such as measurement bias. It is then used to inspect different noise fighting techniques in order to predict their validity, and to suggest more relevant techniques. The results arrived at are then experimentally verified and confirm the predictions of the statistical model. © 2005 IEEE.

Publication Date

12-1-2005

Publication Title

Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Volume

3

Number of Pages

1773-1777

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/APEC.2005.1453286

Socpus ID

33745009790 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33745009790

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