A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations
Joint Authors
Liu, Weirong
Li, Heng
Lin, Kuo-Chi
Peng, Jun
Huang, Zhiwu
Source
International Journal of Photoenergy
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Microcontroller based maximum power point tracking (MPPT) has been the most popular MPPT approach in photovoltaic systems due to its high flexibility and efficiency in different photovoltaic systems.
It is well known that PV systems typically operate under a range of uncertain environmental parameters and disturbances, which implies that MPPT controllers generally suffer from some unknown stochastic perturbations.
To address this issue, a novel Newton-based stochastic extremum seeking MPPT method is proposed.
Treating stochastic perturbations as excitation signals, the proposed MPPT controller has a good tolerance of stochastic perturbations in nature.
Different from conventional gradient-based extremum seeking MPPT algorithm, the convergence rate of the proposed controller can be totally user-assignable rather than determined by unknown power map.
The stability and convergence of the proposed controller are rigorously proved.
We further discuss the effects of partial shading and PV module ageing on the proposed controller.
Numerical simulations and experiments are conducted to show the effectiveness of the proposed MPPT algorithm.
American Psychological Association (APA)
Li, Heng& Peng, Jun& Liu, Weirong& Huang, Zhiwu& Lin, Kuo-Chi. 2014. A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations. International Journal of Photoenergy،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1037421
Modern Language Association (MLA)
Li, Heng…[et al.]. A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations. International Journal of Photoenergy No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1037421
American Medical Association (AMA)
Li, Heng& Peng, Jun& Liu, Weirong& Huang, Zhiwu& Lin, Kuo-Chi. A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations. International Journal of Photoenergy. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1037421
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037421