A NOVEL DISTANCE PROTECTION IMMUNE TO THE EFFECTS OF CVT TRANSIENTS USING ARTIFICIAL NEURAL NETWORK

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHORASHADIZADEH H.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ) Year:2005 | Volume:32 | Issue:3 (40) ELECTRONICS Page(s): 15-26

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,149

Download:

Cites:

Information Journal Paper

Title

A NOVEL DISTANCE PROTECTION IMMUNE TO THE EFFECTS OF CVT TRANSIENTS USING ARTIFICIAL NEURAL NETWORK

Author(s)

KHORASHADIZADEH H. | Issue Writer Certificate

Keywords

DISTANCE RELAYQ1

CVT TRANSIENTQ1

ARTIFICIAL NEURAL NETWORKQ1

Abstract

This paper presents the design of a novel method for improvement of the operation of DISTANCE RELAYs during capacitive voltage transformer transients using ARTIFICIAL NEURAL NETWORK. The proposed module uses voltage and current signals to learn the hidden relationship existing in the input patterns. Simulation studies are preformed and the influence of changing system parameters, such as fault resistance and source impedance is studied. Details of the design procedure and the results of performance studies with the proposed relay are given in the paper. Performance studies show that the neural networks improve the operation of DISTANCE RELAYs during capacitive voltage transformer transients and reduce the effects of system variables such as fault resistance, source impedance and decaying DC offset on the decision made by the DISTANCE RELAY.

Cites

No record.

References

No record.

Cite

APA: Copy

KHORASHADIZADEH, H.. (2005). A NOVEL DISTANCE PROTECTION IMMUNE TO THE EFFECTS OF CVT TRANSIENTS USING ARTIFICIAL NEURAL NETWORK. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), 32(3 (40) ELECTRONICS), 15-26. SID. https://sid.ir/paper/43787/en

Vancouver: Copy

KHORASHADIZADEH H.. A NOVEL DISTANCE PROTECTION IMMUNE TO THE EFFECTS OF CVT TRANSIENTS USING ARTIFICIAL NEURAL NETWORK. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ)[Internet]. 2005;32(3 (40) ELECTRONICS):15-26. Available from: https://sid.ir/paper/43787/en

IEEE: Copy

H. KHORASHADIZADEH, “A NOVEL DISTANCE PROTECTION IMMUNE TO THE EFFECTS OF CVT TRANSIENTS USING ARTIFICIAL NEURAL NETWORK,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TABRIZ), vol. 32, no. 3 (40) ELECTRONICS, pp. 15–26, 2005, [Online]. Available: https://sid.ir/paper/43787/en

Related Journal Papers