An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency
Jubaer Ahmed and
Zainal Salam
Applied Energy, 2015, vol. 150, issue C, 97-108
Abstract:
This paper proposes a method to improve the efficiency of the P&O maximum power point tracker (MPPT) by reducing the steady state oscillation and eliminating the possibility of the algorithm to lose its tracking direction. A dynamic perturbation step-size is employed to reduce the oscillation, while boundary conditions are introduced to prevent it from diverging away from the MPP. To prove its effectiveness, the proposed P&O is compared with the conventional and adaptive P&O using the Ropp, sinusoidal and ramp irradiance tests. In addition, the performances are evaluated based on a one-day (10h) irradiance and temperature profile. The algorithm is implemented on a buck-boost converter and benchmarked by the standard MPPT efficiency (ηMPPT) calculation. It was found that, for all the tests, the ηMPPT of the proposed P&O scheme is increased by approximately two percentage points. Besides, the proposed algorithm does not require any extra hardware components; only several lines of additional software codes are to be embedded into the conventional P&O MPPT control program.
Keywords: Solar energy; Photovoltaic; P&O; MPPT; P–V curve; MPPT (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (68)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261915004456
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:150:y:2015:i:c:p:97-108
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2015.04.006
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().