Smart Grid

Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink


The dataset 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 Banu
Last updated:
Wed, 03/28/2018 - 10:52
DOI:
10.21227/H2463S
Data Format:
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: Apr. 21, 2018.
@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 Banu
Last updated:
Wed, 03/28/2018 - 10:53
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: Apr. 21, 2018.
@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

Real-life Power Quality Sags


The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.

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Dataset Details

Citation Author(s):
Submitted by:
Juan Jose Gonza...
Last updated:
Wed, 03/28/2018 - 10:54
DOI:
10.21227/H2K88D
Data Format:
Links:
 
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[1] , "Real-life Power Quality Sags ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2K88D. Accessed: Apr. 21, 2018.
@data{h2k88d-17,
doi = {10.21227/H2K88D},
url = {http://dx.doi.org/10.21227/H2K88D},
author = { },
publisher = {IEEE Dataport},
title = {Real-life Power Quality Sags },
year = {2017} }
TY - DATA
T1 - Real-life Power Quality Sags
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2K88D
ER -
. (2017). Real-life Power Quality Sags . IEEE Dataport. http://dx.doi.org/10.21227/H2K88D
, 2017. Real-life Power Quality Sags . Available at: http://dx.doi.org/10.21227/H2K88D.
. (2017). "Real-life Power Quality Sags ." Web.
1. . Real-life Power Quality Sags [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2K88D
. "Real-life Power Quality Sags ." doi: 10.21227/H2K88D

Optimized Power Source Integration (OPSI)


Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems

In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.

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OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Thu, 03/15/2018 - 19:06
DOI:
10.21227/H2D66D
Data Format:
Links:
 
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[1] , "Optimized Power Source Integration (OPSI)", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2D66D. Accessed: Apr. 21, 2018.
@data{h2d66d-18,
doi = {10.21227/H2D66D},
url = {http://dx.doi.org/10.21227/H2D66D},
author = { },
publisher = {IEEE Dataport},
title = {Optimized Power Source Integration (OPSI)},
year = {2018} }
TY - DATA
T1 - Optimized Power Source Integration (OPSI)
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2D66D
ER -
. (2018). Optimized Power Source Integration (OPSI). IEEE Dataport. http://dx.doi.org/10.21227/H2D66D
, 2018. Optimized Power Source Integration (OPSI). Available at: http://dx.doi.org/10.21227/H2D66D.
. (2018). "Optimized Power Source Integration (OPSI)." Web.
1. . Optimized Power Source Integration (OPSI) [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2D66D
. "Optimized Power Source Integration (OPSI)." doi: 10.21227/H2D66D

joint filter approach reliable power system state estimation


This is the Smulation Data for Power System State Estimation.

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Dataset Details

Citation Author(s):
Submitted by:
Yang Yu
Last updated:
Fri, 03/09/2018 - 08:23
DOI:
10.21227/H2M634
Data Format:
 
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[1] , "joint filter approach reliable power system state estimation", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2M634. Accessed: Apr. 21, 2018.
@data{h2m634-17,
doi = {10.21227/H2M634},
url = {http://dx.doi.org/10.21227/H2M634},
author = { },
publisher = {IEEE Dataport},
title = {joint filter approach reliable power system state estimation},
year = {2017} }
TY - DATA
T1 - joint filter approach reliable power system state estimation
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2M634
ER -
. (2017). joint filter approach reliable power system state estimation. IEEE Dataport. http://dx.doi.org/10.21227/H2M634
, 2017. joint filter approach reliable power system state estimation. Available at: http://dx.doi.org/10.21227/H2M634.
. (2017). "joint filter approach reliable power system state estimation." Web.
1. . joint filter approach reliable power system state estimation [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2M634
. "joint filter approach reliable power system state estimation." doi: 10.21227/H2M634

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 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: Apr. 21, 2018.
@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 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: Apr. 21, 2018.
@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 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: Apr. 21, 2018.
@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 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: Apr. 21, 2018.
@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

Real-life Power Quality Transients


The aim of the database consists of providing the researchers with a collection of power quality real-life impulsive events to test experiments and measurement instruments. The dataset provides signals recordings from the power network of the University of Cádiz during the last five years (electrical network according to the UNE-EN-50160: 2011).

The dataset offers a diversity of real impulsive events, which are specifically acquired in order to test Power Quality Instruments according to the UNE-IEC 61000-4-11: 2005.

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Dataset Details

Citation Author(s):
Submitted by:
Juan Jose Gonza...
Last updated:
Thu, 05/11/2017 - 08:15
DOI:
10.21227/H2Q30W
Data Format:
Links:
 
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[1] , "Real-life Power Quality Transients ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2Q30W. Accessed: Apr. 21, 2018.
@data{h2q30w-17,
doi = {10.21227/H2Q30W},
url = {http://dx.doi.org/10.21227/H2Q30W},
author = { },
publisher = {IEEE Dataport},
title = {Real-life Power Quality Transients },
year = {2017} }
TY - DATA
T1 - Real-life Power Quality Transients
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2Q30W
ER -
. (2017). Real-life Power Quality Transients . IEEE Dataport. http://dx.doi.org/10.21227/H2Q30W
, 2017. Real-life Power Quality Transients . Available at: http://dx.doi.org/10.21227/H2Q30W.
. (2017). "Real-life Power Quality Transients ." Web.
1. . Real-life Power Quality Transients [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2Q30W
. "Real-life Power Quality Transients ." doi: 10.21227/H2Q30W

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