Comparative Study of Maximum Power Point Tracking Algorithms
D. Hohn, and M. Ropp. Progress in Photovoltaics: Research and Applications, (2002)
Abstract
Maximum power point trackers (MPPTs) play an important role in photovoltaic
(PV) power systems because they maximize the power output from a
PV system for a given set of conditions, and therefore maximize the
array efficiency. Thus, an MPPT can minimize the overall system cost.
MPPTs find and maintain operation at the maximum power point, using
an MPPT algorithm. Many such algorithms have been proposed. However,
one particular algorithm, the perturb-and-observe (P&O) method,
claimed by many in the literature to be inferior to others, continues
to be by far the most widely used method in commercial PV MPPTs.
Part of the reason for this is that the published comparisons between
methods do not include an experimental comparison between multiple
algorithms with all algorithms optimized and a standardized MPPT
hardware. This paper provides such a comparison. MPPT algorithm performance
is quantified through the MPPT efficiency. In this work, results
are obtained for three optimized algorithms, using a microprocessor-controlled
MPPT operating from a PV array and also a PV array simulator. It
is found that the P&O method, when properly optimized, can have
MPPTefficiencies well in excess of 97%, and is highly competitive
against other MPPT algorithms
%0 Journal Article
%1 Hohn.Ropp2002
%A Hohn, D. P.
%A Ropp, M. E.
%D 2002
%J Progress in Photovoltaics: Research and Applications
%K Control, Digital MPP electronics power tracking,
%N 11
%T Comparative Study of Maximum Power Point Tracking Algorithms
%X Maximum power point trackers (MPPTs) play an important role in photovoltaic
(PV) power systems because they maximize the power output from a
PV system for a given set of conditions, and therefore maximize the
array efficiency. Thus, an MPPT can minimize the overall system cost.
MPPTs find and maintain operation at the maximum power point, using
an MPPT algorithm. Many such algorithms have been proposed. However,
one particular algorithm, the perturb-and-observe (P&O) method,
claimed by many in the literature to be inferior to others, continues
to be by far the most widely used method in commercial PV MPPTs.
Part of the reason for this is that the published comparisons between
methods do not include an experimental comparison between multiple
algorithms with all algorithms optimized and a standardized MPPT
hardware. This paper provides such a comparison. MPPT algorithm performance
is quantified through the MPPT efficiency. In this work, results
are obtained for three optimized algorithms, using a microprocessor-controlled
MPPT operating from a PV array and also a PV array simulator. It
is found that the P&O method, when properly optimized, can have
MPPTefficiencies well in excess of 97%, and is highly competitive
against other MPPT algorithms
@article{Hohn.Ropp2002,
abstract = {Maximum power point trackers (MPPTs) play an important role in photovoltaic
(PV) power systems because they maximize the power output from a
PV system for a given set of conditions, and therefore maximize the
array efficiency. Thus, an MPPT can minimize the overall system cost.
MPPTs find and maintain operation at the maximum power point, using
an MPPT algorithm. Many such algorithms have been proposed. However,
one particular algorithm, the perturb-and-observe (P\&O) method,
claimed by many in the literature to be inferior to others, continues
to be by far the most widely used method in commercial PV MPPTs.
Part of the reason for this is that the published comparisons between
methods do not include an experimental comparison between multiple
algorithms with all algorithms optimized and a standardized MPPT
hardware. This paper provides such a comparison. MPPT algorithm performance
is quantified through the MPPT efficiency. In this work, results
are obtained for three optimized algorithms, using a microprocessor-controlled
MPPT operating from a PV array and also a PV array simulator. It
is found that the P\&O method, when properly optimized, can have
MPPTefficiencies well in excess of 97%, and is highly competitive
against other MPPT algorithms},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Hohn, D. P. and Ropp, M. E.},
biburl = {https://www.bibsonomy.org/bibtex/20f92f146effbde44685235442dddb3bd/procomun},
file = {Hohn.Ropp2002.pdf:Hohn.Ropp2002.pdf:PDF},
interhash = {ed4616cd71bf59fd476821cb13196a6a},
intrahash = {0f92f146effbde44685235442dddb3bd},
journal = {Progress in Photovoltaics: Research and Applications},
keywords = {Control, Digital MPP electronics power tracking,},
number = 11,
owner = {oscar},
refid = {Hohn.Ropp2002},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {Comparative Study of Maximum Power Point Tracking Algorithms},
year = 2002
}