Electric Utility

facebooktwitterRSSmailshare

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.

 

License: Creative Commons Attribution

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:01
DOI:
10.21227/H2463S
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2463S. Accessed: Jul. 17, 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.

License: Creative Commons Attribution

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:17
DOI:
10.21227/H25633
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Study on Three-Phase Photovoltaic Systems under Grid Faults", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25633. Accessed: Jul. 17, 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

A Novel SOI-LDMOSFET With Superior Electrical Performances


In this paper, a novel silicon-on-insulator (SOI) lateral-double-diffused metal-oxide-semiconductor field-effect transistor (LDMOSFET) is presented. Changing charge distribution leads to lower electric field crowding and increased breakdown voltage (VBR). For modifying charge distribution, a metal region (COLUMN) and an air layer inside the transistor are utilized. On the other the floating-body effect and impact ionization generate excess holes that are amplified by the parasitic bipolar junction transistor (BJT) in SOI-LDMOSFET that degrade the transistor performance.

License: Creative Commons Attribution

Dataset Files

No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
Mohammadreza Gh...
Last updated:
Tue, 07/10/2018 - 18:14
DOI:
10.21227/e2s1-ay90
Data Format:
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "A Novel SOI-LDMOSFET With Superior Electrical Performances", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/e2s1-ay90. Accessed: Jul. 17, 2018.
@data{e2s1-ay90-18,
doi = {10.21227/e2s1-ay90},
url = {http://dx.doi.org/10.21227/e2s1-ay90},
author = { },
publisher = {IEEE Dataport},
title = {A Novel SOI-LDMOSFET With Superior Electrical Performances},
year = {2018} }
TY - DATA
T1 - A Novel SOI-LDMOSFET With Superior Electrical Performances
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/e2s1-ay90
ER -
. (2018). A Novel SOI-LDMOSFET With Superior Electrical Performances. IEEE Dataport. http://dx.doi.org/10.21227/e2s1-ay90
, 2018. A Novel SOI-LDMOSFET With Superior Electrical Performances. Available at: http://dx.doi.org/10.21227/e2s1-ay90.
. (2018). "A Novel SOI-LDMOSFET With Superior Electrical Performances." Web.
1. . A Novel SOI-LDMOSFET With Superior Electrical Performances [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/e2s1-ay90
. "A Novel SOI-LDMOSFET With Superior Electrical Performances." doi: 10.21227/e2s1-ay90

Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems


When heterogeneous honeycomb materials are cut using ultrasonic techniques, the ultrasonic frequency tends to vary over time, thereby degrading the quality of the machining. This variation can be addressed with a proportional–integral–derivative (PID) controller; however, these controllers perform relatively poorly in fixed parameter tracking scenarios. In contrast, this paper proposes a tracking model that combines fuzzy and PID control.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Li-Yang Kong
Last updated:
Thu, 05/31/2018 - 05:28
DOI:
10.21227/H2WW9S
 
Share / Embed Cite

Documentation

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2WW9S. Accessed: Jul. 17, 2018.
@data{h2ww9s-18,
doi = {10.21227/H2WW9S},
url = {http://dx.doi.org/10.21227/H2WW9S},
author = { },
publisher = {IEEE Dataport},
title = {Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems},
year = {2018} }
TY - DATA
T1 - Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2WW9S
ER -
. (2018). Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems. IEEE Dataport. http://dx.doi.org/10.21227/H2WW9S
, 2018. Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems. Available at: http://dx.doi.org/10.21227/H2WW9S.
. (2018). "Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems." Web.
1. . Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2WW9S
. "Fuzzy-PID-Based Frequency-Tracking Technique for Ultrasonic Vibration Systems." doi: 10.21227/H2WW9S

Locating the degradation of cable insulation


propagation coefficient has many relations for cable.It is clear that there is more “rough jitter” in the spectrum of the last 500MHz than that of the first 500MHz. This is due to the additional influence produced on the spectrum by the extra capacitance introduced from the cable joint as the result of connection, which leads to distortion of the spectrum to some extent.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
chunlin gao
Last updated:
Mon, 03/12/2018 - 08:49
DOI:
10.21227/H2JQ0J
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Locating the degradation of cable insulation", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2JQ0J. Accessed: Jul. 17, 2018.
@data{h2jq0j-18,
doi = {10.21227/H2JQ0J},
url = {http://dx.doi.org/10.21227/H2JQ0J},
author = { },
publisher = {IEEE Dataport},
title = {Locating the degradation of cable insulation},
year = {2018} }
TY - DATA
T1 - Locating the degradation of cable insulation
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2JQ0J
ER -
. (2018). Locating the degradation of cable insulation. IEEE Dataport. http://dx.doi.org/10.21227/H2JQ0J
, 2018. Locating the degradation of cable insulation. Available at: http://dx.doi.org/10.21227/H2JQ0J.
. (2018). "Locating the degradation of cable insulation." Web.
1. . Locating the degradation of cable insulation [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2JQ0J
. "Locating the degradation of cable insulation." doi: 10.21227/H2JQ0J

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.

License: Creative Commons Attribution

Dataset Files

No Data files have been uploaded.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 22:50
DOI:
10.21227/H2D66D
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Optimized Power Source Integration (OPSI)", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2D66D. Accessed: Jul. 17, 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

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.

License: Creative Commons Attribution

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:18
DOI:
10.21227/H28W5P
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[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: Jul. 17, 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.

License: Creative Commons Attribution

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:16
DOI:
10.21227/H2DP80
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[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: Jul. 17, 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.

License: Creative Commons Attribution

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:01
DOI:
10.21227/H2JD0F
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[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: Jul. 17, 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.

License: Creative Commons Attribution

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:15
DOI:
10.21227/H29W6C
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H29W6C. Accessed: Jul. 17, 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