Abstract

The evaluation of the DC/AC conversion process of inverters on photovoltaic (PV) systems can be performed through experimental monitoring or computer simulations. In general, the basis of the simulation tools is the mathematical models capable of describing the dynamics of the system components. This article presents the results of energy simulations of deterministic mathematical models implemented to estimate the energy processing steps of grid-connected photovoltaic systems (GCPVS) considering the thermal behavior of inverters under power limitation by temperature. Operational data of GCPVS with different configurations were used to validate the simulations, and the results in terms of annual energy presented relative error lower than ±2%.

Issue Section:
Research Papers
Keywords:
mathematical models, grid-connected photovoltaic systems, linear regressions, inverter operational behavior, energy yield, forecast photovoltaic systems
Topics:
Temperature, Photovoltaic power systems, Generators, Simulation, Modeling

References

1.
Hiude
,
F.
,
Xuxin
,
Z.
,
Lei
,
M.
,
Tao
,
Z.
,
Qixing
,
W.
, and
Hongyuan
,
S.
,
2017
, “
A Comparative Study on Three Types of Solar Utilization Technologies for Building: Photovoltaic, Solar Thermal and Hybrid Photovoltaic/Thermal Systems
,”
Energy Convers. Manage.
,
140
(
13
), pp.
1
–
13
. 10.1016/j.enconman.2017.02.059
2.
Wang
,
D. D.
, and
Sueyoshi
,
T.
,
2017
, “
Assessment of Large Commercial Rooftop Photovoltaic System Installations: Evidence From California
,”
Appl. Energy
,
188
(
10
), pp.
45
–
55
. 10.1016/j.apenergy.2016.11.076
3.
Tahri
,
F.
,
Tahri
,
A.
, and
Oozeki
,
T.
,
2018
, “
Performance Evaluation of Grid-Connected Photovoltaic Systems Based on Two Photovoltaic Module Technologies Under Tropical Climate Conditions
,”
Energy Convers. Manage.
,
165
(
8
), pp.
244
–
252
. 10.1016/j.enconman.2018.03.065
4.
Roumpakias
,
E.
, and
Stamatelos
,
A.
,
2017
, “
Comparative Performance Analysis of Grid-Connected Photovoltaic System by Use Existing Performance Models
,”
Energy Convers. Manage.
,
150
(
11
), pp.
14
–
25
. 10.1016/j.enconman.2017.08.001
5.
Mondol
,
J. D.
,
Yohanis
,
Y. G.
,
Smyth
,
M.
, and
Norton
,
B.
,
2005
, “
Long-Term Validated Simulation of a Building Integrated Photovoltaic System
,”
Sol. Energy
,
78
(
13
), pp.
163
–
176
. 10.1016/j.solener.2004.04.021
6.
Lee
,
Y.
,
Kuo
,
C. J.
,
Weng
,
W.
,
Huang
,
C.
, and
Peng
,
C.
,
2017
, “
Dynamic Modeling and Entity Validation of a Photovoltaic System
,”
Appl. Energy
,
200
(
12
), pp.
370
–
382
. 10.1016/j.apenergy.2017.04.075
7.
Luz
,
C. M. A.
,
Tofoli
,
F. L.
,
Vicente
,
P. S.
, and
Vicente
,
E. M.
,
2018
, “
Assessment of Ideality Factor on the Performance of Photovoltaic Modules
,”
Energy Convers. Manage.
,
167
(
6
), pp.
63
–
69
.
8.
Pavan
,
A. M.
,
Vergura
,
S.
,
Mellit
,
A.
, and
Lughi
,
V.
,
2017
, “
Explicit Empirical Model for Photovoltaic Devices. Experimental Validation
,”
Sol. Energy
,
155
(
6
), pp.
647
–
653
. 10.1016/j.solener.2017.07.002
9.
Roberts
,
J. J.
,
Zevallos
,
A. A. M.
, and
Cassula
,
A. M.
,
2017
, “
Assessment of Photovoltaic Performance Models for System Simulation
,”
Renewable Sustainable Energy Rev.
,
72
(
19
), pp.
1104
–
1123
. 10.1016/j.rser.2016.10.022
10.
Ciulla
,
G.
,
Brano
,
V. L.
,
Dio
,
V. D.
, and
Cipriani
,
G. A.
,
2014
, “
Comparison of Different One-Diode Models for the Representation of I-V Characteristic of a PV Cell
,”
Renewable Sustainable Energy Rev.
,
32
(
12
), pp.
684
–
696
. 10.1016/j.rser.2014.01.027
11.
Malvoni
,
M.
,
Fiore
,
M. C.
,
Maggiotto
,
G.
,
Mancarella
,
L.
,
Quarta
,
R.
,
Radice
,
V.
,
Congedo
,
P. M.
, and
De Giorgi
,
M. G.
,
2016
, “
Improvements in the Predictions for the Photovoltaic System Performance of the Mediterranean Regions
,”
Energy Convers. Manage.
,
128
(
11
), pp.
191
–
202
. 10.1016/j.enconman.2016.09.069
12.
Tozzi
,
P. Jr.
, and
Jo
,
J. H.
,
2017
, “
A Comparative Analysis of Renewable Energy Simulation Tools: Performance Simulation Model vs. System Optimization
,”
Renewable Sustainable Energy Rev.
,
80
(
8
), pp.
390
–
398
. 10.1016/j.rser.2017.05.153
13.
Freeman
,
J.
,
Whitmore
,
J.
,
Blair
,
N.
, and
Dobos
,
A. P.
,
2014
, “
Validation of Multiple Tools for Flat Plate Photovoltaic Modeling Against Measured Data
,”
IEEE Proceedings of the 40th Photovoltaic Specialist Conference (PVSC)
,
Denver, CO
,
June 8–13
, p.
14683709
.
14.
Argul
,
F. J.
,
Castro
,
M.
,
Delgado
,
A.
,
Carpio
,
J. E.
, and
Peire
,
J.
,
2003
, “
Modeling of Grid Connected PV Buildings
,”
Progress Photovoltaics
,
11
(
20
), pp.
255
–
273
. 10.1002/pip.484
15.
Freitas
,
S. S. A.
,
2008
, “
Design of Photovoltaic Systems
,”
Master’s thesis
,
Polytechnic Institute of Bragança
,
Portugal
.
16.
Thanakodi
,
S.
,
2009
, “
Modeling and Simulation of Grid-Connected Photovoltaic Systems Using MATLAB/SIMULINK
,”
Master’s thesis
,
Malaysia University of Technology
,
Malaysia
.
17.
Hamad
,
A. A.
, and
Alsaad
,
M. A.
,
2019
, “
A Software Application for Energy Flow Simulation of a Grid Connected Photovoltaic System
,”
Energy Convers. Manage.
,
51
(
5
), pp.
1684
–
1689
.
18.
Rampinelli
,
G. A.
,
Krenzinger
,
A.
, and
Bühler
,
A. J.
,
2017
, “
Methodology for Analysis of Thermal Behavior of Inverters for Photovoltaic Systems
,”
ASME J. Solar Energy Eng.
,
139
(
6
), p.
025501
. 10.1115/1.4034973
19.
Rossa
,
C. H.
,
Dias
,
J. B.
, and
Macagnan
,
M. H.
,
2015
, “
Simulation of Energy Production in Grid-Connected Photovoltaic Systems From Measured and Calculated Data From Clear-Sky Radiation Model
,”
ASME J. Solar Energy Eng.
,
137
(
3
), p.
034502
. 10.1115/1.4029381
Google Scholar
Crossref
Search ADS
 
20.
Klise
,
G. T.
, and
Stein
,
J. S.
,
2009
, “
Models Used to Assess the Performance of Photovoltaic Systems
,”
SANDIA Report No. SAND2009-8258. Sandia National Laboratories, Livermore, CA
.
21.
Kaushik
,
S. C.
,
Rawat
,
R.
, and
Manikandan
,
S.
,
2018
, “
An Innovative Thermodynamic Model for Performance Evaluation of Photovoltaic Systems: Effect of Wind Speed and Cell Temperature
,”
Energy Convers. Manage.
,
136
(
8
), pp.
152
–
160
.
22.
Walker
,
G. R.
,
2001
, “
Evaluating MPPT Converter Topologies Using a MATLAB PV Model
,”
J. Electr. Electr. Eng.
,
21
(
6
), pp.
49
–
55
.
23.
De Soto
,
W.
,
Klein
,
S. A.
, and
Beckman
,
W. A.
,
2006
, “
Improvement and Validation of a Model for Photovoltaic Array Performance
,”
Sol. Energy
,
80
(
13
), pp.
78
–
88
. 10.1016/j.solener.2005.06.010
24.
Faranda
,
R.
,
Leva
,
S.
, and
Maugeri
,
V.
,
2008
, “
MPPT Techniques for PV Systems: Energetic and Cost Comparison
,”
IEEE Power and Energy Society General Meeting—Conversion and Delivery of Electrical Energy in the 21st Century
,
Pittsburgh, PA
,
July 20–24
, p.
10142328
.
Google Scholar
Crossref
Search ADS
 
25.
Subiyanto
,
S.
,
Mohamed
,
A.
, and
Hannan
,
M. A.
,
2012
, “
Intelligent Maximum Power Point Tracking for PV System Using Hopfield Neural Network Optimized Fuzzy Logic Controller
,”
Energy Build.
,
51
(
9
), pp.
29
–
38
. 10.1016/j.enbuild.2012.04.012
26.
Salas
,
V.
,
Alonso-Abella
,
M.
,
Chenlo-Romero
,
F.
, and
Ol-Ias
,
E.
,
2009
, “
Analysis of the Maximum Power Point Tracking in the Photovoltaic Grid Inverters of 5 Kw
,”
Renewable Energy
,
34
(
6
), pp.
2366
–
2372
. 10.1016/j.renene.2009.03.012
27.
Lalili
,
D.
,
Mellit
,
A.
,
Lourci
,
N.
,
Medjahed
,
B.
, and
Berkouk
,
E. M.
,
2011
, “
Input Output Feedback Linearization Control and Variable Step Size MPPT Algorithm of a Grid-Connected Photovoltaic Inverter
,”
Renewable Energy
,
36
(
9
), pp.
3282
–
3291
. 10.1016/j.renene.2011.04.027
28.
Chen
,
W.
,
Shen
,
H.
,
Shu
,
B.
,
Qin
,
H.
, and
Deng
,
T.
,
2007
, “
Evaluation of Performance of MPPT Devices in PV Systems With Storage Batteries
,”
Renewable Energy
,
32
(
11
), pp.
1611
–
1622
. 10.1016/j.renene.2006.06.009
29.
Rampinelli
,
G. A.
,
2010
, “
Study of Electrical and Thermal Characteristics for Inverters for Photovoltaic Systems Connected to the Grid
,”
Ph.D. dissertation
,
Federal University of Rio Grande do Sul
,
RS
.
30.
Schmidt
,
H.
,
Jantsch
,
M.
, and
Schmd
,
J.
,
1992
, “
Results of the Concerted Actions on Power Conditioning and Control
,”
11th European Photovoltaic Solar Energy Conference
,
Montreux, Switzerland
,
Oct. 12–16
, pp.
1589
–
1593
.
31.
SMA
,
2020
, “
Efficiency and Derating – Sunny Boy/Sunny Boy Storage/ Sunny Tripower/ SunnyMini Central/ Sunny Highpower
,”
Technical Information Brochure, Version 4.8
, https://files.sma.de/downloads/WirkungDerat-TIen-48.pdf,
Accessed February 9, 2021
.
32.
Rodrigues
,
C. N.
,
2008
, “
Photovoltaic Solar Plants Connected to the Electricity Grid
,”
Ph.D. dissertation
,
University of Lisbon
,
Lisboa, Portugal
.
33.
Macêdo
,
W. N.
,
2006
, “
Analysis of the Inverter Sizing Factor Applied to Photovoltaic Systems Connected to the Grid
,”
Ph.D. dissertation
,
University of São Paulo
,
SP
.
34.
Fen
,
L.
,
Quanquan
,
Y.
,
Shanxu
,
D.
,
Jinbin
,
Z.
,
Nianjun
,
M.
, and
Zhenghong
,
C.
,
2015
, “
A Novel Model for Daily Energy Production Estimation of Grid-Connected Photovoltaic System
,”
ASME J. Solar Energy Eng.
,
137
(
8
), p.
031013
. 10.1115/1.4029454
35.
Figueiredo
,
G.
,
Macêdo
,
W.
, and
Pinho
,
J. T.
,
2014
, “
Computational Tool for Sizing and Assessment of Grid-Connected Photovoltaic Systems
,”
Energy Procedia
,
57
(
9
), pp.
168
–
177
. 10.1016/j.egypro.2014.10.021
Copyright © 2021 by ASME
You do not currently have access to this content.