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Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink


The work contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.

 

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Sun, 10/22/2017 - 18:48
DOI:
10.21227/H2463S
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Links:
 
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[1] , "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2463S. Accessed: Oct. 23, 2017.
@data{h2463s-17,
doi = {10.21227/H2463S},
url = {http://dx.doi.org/10.21227/H2463S},
author = { },
publisher = {IEEE Dataport},
title = {Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink},
year = {2017} }
TY - DATA
T1 - Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2463S
ER -
. (2017). Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink. IEEE Dataport. http://dx.doi.org/10.21227/H2463S
, 2017. Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink. Available at: http://dx.doi.org/10.21227/H2463S.
. (2017). "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink." Web.
1. . Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2463S
. "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink." doi: 10.21227/H2463S

Study on Three-Phase Photovoltaic Systems under Grid Faults


The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Sun, 10/22/2017 - 08:18
DOI:
10.21227/H25633
Data Format:
Links:
 
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[1] , "Study on Three-Phase Photovoltaic Systems under Grid Faults", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25633. Accessed: Oct. 23, 2017.
@data{h25633-17,
doi = {10.21227/H25633},
url = {http://dx.doi.org/10.21227/H25633},
author = { },
publisher = {IEEE Dataport},
title = {Study on Three-Phase Photovoltaic Systems under Grid Faults},
year = {2017} }
TY - DATA
T1 - Study on Three-Phase Photovoltaic Systems under Grid Faults
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25633
ER -
. (2017). Study on Three-Phase Photovoltaic Systems under Grid Faults. IEEE Dataport. http://dx.doi.org/10.21227/H25633
, 2017. Study on Three-Phase Photovoltaic Systems under Grid Faults. Available at: http://dx.doi.org/10.21227/H25633.
. (2017). "Study on Three-Phase Photovoltaic Systems under Grid Faults." Web.
1. . Study on Three-Phase Photovoltaic Systems under Grid Faults [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25633
. "Study on Three-Phase Photovoltaic Systems under Grid Faults." doi: 10.21227/H25633

Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink


This work presents a novel Anti-Islanding (AI) protection of Photovoltaic (PV) Systems based on monitoring the dc-link voltage of the PV inverter. A PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Thu, 10/19/2017 - 10:36
DOI:
10.21227/H28W5P
Data Format:
Links:
 
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[1] , "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H28W5P. Accessed: Oct. 23, 2017.
@data{h28w5p-17,
doi = {10.21227/H28W5P},
url = {http://dx.doi.org/10.21227/H28W5P},
author = { },
publisher = {IEEE Dataport},
title = {Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink},
year = {2017} }
TY - DATA
T1 - Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H28W5P
ER -
. (2017). Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. IEEE Dataport. http://dx.doi.org/10.21227/H28W5P
, 2017. Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. Available at: http://dx.doi.org/10.21227/H28W5P.
. (2017). "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink." Web.
1. . Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H28W5P
. "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink." doi: 10.21227/H28W5P

A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems


This work presents a Matlab/Simulink study on anti-islanding detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and anti-islanding (AI) relay reaction times are measured through the simulation.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Thu, 10/19/2017 - 10:32
DOI:
10.21227/H2DP80
Data Format:
Links:
 
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[1] , "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2DP80. Accessed: Oct. 23, 2017.
@data{h2dp80-17,
doi = {10.21227/H2DP80},
url = {http://dx.doi.org/10.21227/H2DP80},
author = { },
publisher = {IEEE Dataport},
title = {A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems},
year = {2017} }
TY - DATA
T1 - A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2DP80
ER -
. (2017). A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems. IEEE Dataport. http://dx.doi.org/10.21227/H2DP80
, 2017. A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems. Available at: http://dx.doi.org/10.21227/H2DP80.
. (2017). "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems." Web.
1. . A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2DP80
. "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems." doi: 10.21227/H2DP80

Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods


This work aims to implement in Matlab and Simulink the perturb-and-observe (P&O) and incremental conductance Maximum Power Point Tracking (MPPT) algorithms that are published in the scientific literature.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Sun, 10/22/2017 - 08:21
DOI:
10.21227/H2JD0F
Data Format:
Links:
 
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[1] , "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2JD0F. Accessed: Oct. 23, 2017.
@data{h2jd0f-17,
doi = {10.21227/H2JD0F},
url = {http://dx.doi.org/10.21227/H2JD0F},
author = { },
publisher = {IEEE Dataport},
title = {Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods},
year = {2017} }
TY - DATA
T1 - Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2JD0F
ER -
. (2017). Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods. IEEE Dataport. http://dx.doi.org/10.21227/H2JD0F
, 2017. Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods. Available at: http://dx.doi.org/10.21227/H2JD0F.
. (2017). "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods." Web.
1. . Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2JD0F
. "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods." doi: 10.21227/H2JD0F

Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems


Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems

This work presents the performance evaluation of incremental conductance maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) systems under rapidly changing irradiation condition.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Wed, 10/18/2017 - 14:47
DOI:
10.21227/H29W6C
Data Format:
Links:
 
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[1] , "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H29W6C. Accessed: Oct. 23, 2017.
@data{h29w6c-17,
doi = {10.21227/H29W6C},
url = {http://dx.doi.org/10.21227/H29W6C},
author = { },
publisher = {IEEE Dataport},
title = {Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems},
year = {2017} }
TY - DATA
T1 - Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H29W6C
ER -
. (2017). Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems. IEEE Dataport. http://dx.doi.org/10.21227/H29W6C
, 2017. Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems. Available at: http://dx.doi.org/10.21227/H29W6C.
. (2017). "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems." Web.
1. . Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H29W6C
. "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems." doi: 10.21227/H29W6C

A SAR ship dataset for detection, discrimination and analysis


Synthetic Aperture Radar is a monitoring solution which is especially well fitted to maritime surveillance. The large swath widths, time-independent, weather resistant observations can be very useful for the detection of ships typically invisible to other forms of monitoring. A dataset which contains 43 Sentinel-1 Extended Wide Swath images and 3 RADARSAT-2 ScanSAR Narrow images between the 6th October 2014 to the 22 July 2015 is described and presented here.

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Dataset Details

Citation Author(s):
Submitted by:
Colin Schwegmann
Last updated:
Mon, 10/16/2017 - 09:38
DOI:
10.21227/H2RK82
Data Format:
Links:
 
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[1] , "A SAR ship dataset for detection, discrimination and analysis", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2RK82. Accessed: Oct. 23, 2017.
@data{h2rk82-17,
doi = {10.21227/H2RK82},
url = {http://dx.doi.org/10.21227/H2RK82},
author = { },
publisher = {IEEE Dataport},
title = {A SAR ship dataset for detection, discrimination and analysis},
year = {2017} }
TY - DATA
T1 - A SAR ship dataset for detection, discrimination and analysis
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2RK82
ER -
. (2017). A SAR ship dataset for detection, discrimination and analysis. IEEE Dataport. http://dx.doi.org/10.21227/H2RK82
, 2017. A SAR ship dataset for detection, discrimination and analysis. Available at: http://dx.doi.org/10.21227/H2RK82.
. (2017). "A SAR ship dataset for detection, discrimination and analysis." Web.
1. . A SAR ship dataset for detection, discrimination and analysis [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2RK82
. "A SAR ship dataset for detection, discrimination and analysis." doi: 10.21227/H2RK82

VAIS-1000: A Vietnamese Speech Synthesis Corpus


This data consists of 1000 studio-quality audios and their transcription for Vietnamese northern accent. 
Each utterance has a length of 14-18 words and is spoken by a single speaker.
The corpus can be used to create a Vietnamese speech synthesis system. A tutorial also available at https://vais.vn/vi/tai-ve/hts_for_vietnamese.

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Dataset Details

Citation Author(s):
Submitted by:
Truong Do
Last updated:
Wed, 02/15/2017 - 12:13
DOI:
10.21227/H2B887
Data Format:
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[1] , "VAIS-1000: A Vietnamese Speech Synthesis Corpus ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2B887. Accessed: Oct. 23, 2017.
@data{h2b887-17,
doi = {10.21227/H2B887},
url = {http://dx.doi.org/10.21227/H2B887},
author = { },
publisher = {IEEE Dataport},
title = {VAIS-1000: A Vietnamese Speech Synthesis Corpus },
year = {2017} }
TY - DATA
T1 - VAIS-1000: A Vietnamese Speech Synthesis Corpus
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2B887
ER -
. (2017). VAIS-1000: A Vietnamese Speech Synthesis Corpus . IEEE Dataport. http://dx.doi.org/10.21227/H2B887
, 2017. VAIS-1000: A Vietnamese Speech Synthesis Corpus . Available at: http://dx.doi.org/10.21227/H2B887.
. (2017). "VAIS-1000: A Vietnamese Speech Synthesis Corpus ." Web.
1. . VAIS-1000: A Vietnamese Speech Synthesis Corpus [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2B887
. "VAIS-1000: A Vietnamese Speech Synthesis Corpus ." doi: 10.21227/H2B887

ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)


At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces.

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Dataset Details

Citation Author(s):
Submitted by:
Adi Hajj-Ahmad
Last updated:
Mon, 10/24/2016 - 16:25
DOI:
10.21227/H2159S
Data Format:
Links:
 
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[1] , "ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2159S. Accessed: Oct. 23, 2017.
@data{h2159s-16,
doi = {10.21227/H2159S},
url = {http://dx.doi.org/10.21227/H2159S},
author = { },
publisher = {IEEE Dataport},
title = {ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)},
year = {2016} }
TY - DATA
T1 - ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2159S
ER -
. (2016). ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition). IEEE Dataport. http://dx.doi.org/10.21227/H2159S
, 2016. ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition). Available at: http://dx.doi.org/10.21227/H2159S.
. (2016). "ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)." Web.
1. . ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition) [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2159S
. "ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)." doi: 10.21227/H2159S