This paper presents a study of two maximum power point tracking methods for grid connected photovoltaic systems. The best operation conditions for the perturbation and observation and the incremental conductance methods are investigated in order to identify the efficiency performances of these most popular maximum power point tracking methods for photovoltaic systems. Improvements of these methods can be obtained with the best adjustment of the sampling rate and the perturbation size, both in accordance with the converter dynamics. Practical aspects about the incremental conductance method are discussed, and some modifications are proposed to overcome its problems. A procedure to determine the parameters is explained. This procedure helps to identify which method is better suited for grid connected photovoltaic systems with only one conversion stage. The methods’ influences on the quality of the currents injected in the grid are evaluated and compared. The performance improvement achieved with the choice of the best parameters is proved by means of simulation and experimental results performed on a low power test system. The simulation results have been obtained by modeling a photovoltaic system in MATLAB. A simplified model was used that employs only parameters of interest and therefore decreases simulation time. Experimental results corresponding to the operation of a grid connected photovoltaic converter controlled with a digital signal processor have been obtained.

Issue Section:
Research Papers
Keywords:
electric admittance, photovoltaic power systems, power convertors, power grids, sampling methods, energy conversion, photovoltaic power systems, solar energy, tracking
Topics:
Photovoltaic power systems, Simulation, Electrical conductance, Temperature
1.
Hua
,
C.
,
Lin
,
J.
, and
Shen
,
C.
, 2002, “
Robust Control for Maximum Power Point Tracking in Photovoltaic Power System
,”
Power Conversion Conference
, pp.
827
–
832
.
2.
Femia
,
N.
,
Petrone
,
G.
,
Spagnuolo
,
G.
, and
Vitelli
,
M.
, 2005, “
Optimization of Perturb and Observe Maximum Power Point Tracking Method
,”
IEEE Trans. Power Electron.
0885-8993,
20
(
4
), pp.
963
–
973
.
Crossref
Search ADS
 
3.
Gow
,
J. A.
, and
Manning
,
C. D.
, 1999, “
Development of a Photovoltaic Array Model for Use in Power-Electronics Simulation Studies
,”
IEE Proc.: Electr. Power Appl.
1350-2352,
146
(
2
), pp.
193
–
200
.
Crossref
Search ADS
 
4.
Xiao
,
W.
,
Dunford
,
W. G.
, and
Capel
,
A.
, 2004, “
A Novel Modeling Method for Photovoltaic Cells
,”
IEEE Power Electronics Specialists Conference
, Vol.
3
, pp.
1950
–
1956
.
5.
Esram
,
T.
, and
Chapman
,
P. L.
, 2007, “
Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques
,”
IEEE Trans. Energy Convers.
0885-8969,
22
(
2
), pp.
439
–
449
.
Crossref
Search ADS
 
6.
Matagne
,
E.
,
Chenni
,
R.
, and
El Bachtiri
,
R.
, 2007, “
A Photovoltaic Cell Model Based on Nominal Data Only
,”
International Conference on Power Engineering, Energy and Electrical Drives
, Apr., pp.
562
–
565
.
7.
Yu
,
G. J.
,
Jung
,
Y. S.
,
Choi
,
J. Y.
,
Choi
,
I.
,
Song
,
J. H.
, and
Kim
,
G. S.
, 2002, “
A Novel Two-Mode MPPT Control Algorithm Based on Comparative Study of Existing Algorithms
,”
IEEE Photovoltaic Specialists Conference
, pp.
1531
–
1534
.
8.
Liu
,
S.
, and
Dougal
,
R. A.
, 2002, “
Dynamic Multiphysics Model for Solar Array
,”
IEEE Trans. Energy Convers.
0885-8969,
17
(
2
), pp.
285
–
294
.
9.
Kislovski
,
A. S.
, 1993, “
Power Tracking Methods in Photovoltaic Applications
,”
IEEE Power Conversion Proceedings
, pp.
513
–
528
.
10.
Radziemska
,
E.
, and
Klugmann
,
E.
, 2006, “
Photovoltaic Maximum Power Point Varying With Illumination and Temperature
,”
ASME J. Sol. Energy Eng.
0199-6231,
128
, pp.
34
–
39
.
Crossref
Search ADS
 
11.
El-Aal
,
A. M.
,
Schmid
,
J.
,
Bard
,
J.
, and
Caselitz
,
P.
, 2006, “
Modeling and Optimizing the Size of the Power Conditioning Unit for Photovoltaic Systems
,”
ASME J. Sol. Energy Eng.
0199-6231,
128
, pp.
40
–
44
.
Crossref
Search ADS
 
12.
Liu
,
X.
, and
Lopes
,
L.
, 2004, “
An Improved Perturbation and Observation Maximum Power Point Tracking Algorithm for PV Arrays
,”
IEEE Power Electronics Specialists Conference
, pp.
2005
–
2010
.
13.
Hua
,
C.
,
Lin
,
J.
, and
Shen
,
C.
, 1998, “
Implementation of a DSP-Controlled Photovoltaic System With Peak Power Tracking
,”
IEEE Trans. Ind. Electron.
0278-0046,
45
(
1
), pp.
99
–
107
.
14.
Hohm
,
D.
, and
Ropp
,
M.
, 2000, “
Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed
,”
IEEE Photovoltaic Specialists Conference
, pp.
1699
–
1702
.
15.
Hussein
,
K.
,
Muta
,
I.
,
Hoshino
,
T.
, and
Osakada
,
M.
, 1995, “
Maximum Photovoltaic Power Tracking: An Algorithm for Rapidly Changing Atmospheric Conditions
,”
IEE Proc.: Gener. Transm. Distrib.
1350-2360,
142
, pp.
59
–
64
.
Crossref
Search ADS
 
16.
Kuo
,
Y.
,
Liang
,
T.
, and
Chen
,
J.
, 2001, “
Novel Maximum Power-Point-Tracking Controller for Photovoltaic Energy Conversion System
,”
IEEE Trans. Ind. Electron.
0278-0046,
48
(
3
), pp.
594
–
601
.
17.
Kim
,
T.
,
Ahn
,
H.
,
Park
,
S.
, and
Lee
,
Y.
, 2001, “
A Novel Maximum Power Point Tracking Control for Photovoltaic Power System Under Rapidly Changing Solar Radiation
,”
IEEE International Symposium on Industrial Electronics
, pp.
1011
–
1014
.
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