A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems
Joint Authors
Yu, Kuo-Nan
Liao, Chih-Kang
Yau, Her-Terng
Source
International Journal of Photoenergy
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes a new type of variable fractional-order incremental conductance algorithm (VFOINC), combined with extenics variable step size (EVSS) control into the maximum power point tracking (MPPT) design for photovoltaic power systems.
At the beginning of maximum power tracking, the fractional-order number α is selected as 1; the good transient tracking characteristic of traditional incremental conductance method is used.
When the maximum power point is approached, the fractional-order number α is selected as variable fractional order; the curve profile of α in fractional order is used to approximate, so that the system has good tracking effect in transient and steady states.
The experimental and simulation results show that, compared with traditional incremental conductance method (INC) and fractional-order incremental conductance method (FOINC), this method has better MPPT effect.
American Psychological Association (APA)
Yu, Kuo-Nan& Liao, Chih-Kang& Yau, Her-Terng. 2015. A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems. International Journal of Photoenergy،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1066515
Modern Language Association (MLA)
Yu, Kuo-Nan…[et al.]. A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems. International Journal of Photoenergy No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1066515
American Medical Association (AMA)
Yu, Kuo-Nan& Liao, Chih-Kang& Yau, Her-Terng. A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems. International Journal of Photoenergy. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1066515
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066515