DocumentCode
3193229
Title
Notice of Violation of IEEE Publication Principles
Impedance matrix approach to stochastic assessment for balanced and unbalanced voltage sags on transmission networks
Author
Gopi, R.J. ; Ramachandaramurthy, V.K. ; Au, M.T.
Author_Institution
Dept. of Electr. Power Eng., Univ. Tenaga Nasional, Kajang, Malaysia
fYear
2009
fDate
2-5 Nov. 2009
Firstpage
115
Lastpage
120
Abstract
Notice of Violation of IEEE Publication Principles
"Impedance Matrix Approach to Stochastic Assessment for Balanced and Unbalanced Voltage Sags on Transmission Networks"
by R. Jeya Gopi, V.K. Ramachandaramurthy, and M.T. Au
in the Proceedings of the International Conference on Power Electronics and Drive Systems, (PEDS) November 2009, pp. 115-120
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of text from the paper cited below that were copied and paraphrased without attribution.
"An Analytical Approach for Stochastic Assessment of Balanced and Unbalanced Voltage Sages in Large Systems"
by Elisa Espinosa Juarez and Araceli Hernandez
in the IEEE Transactions on Power Delivery, Vol 21, No 3, July 2006, pp. 1493-1500
Stochastic assessment is a method to predict the severity and number of voltage sags at a bus of interest in the transmission network system. In this paper, an analytical technique using impedance matrix is developed to predict the voltage magnitudes due to balanced and unbalanced faults at unlimited buses in an electrical network. The proposed technique was applied to an IEEE 24-buses electrical network to illustrate its application. The results show that the proposed technique is able to predict the voltage magnitude at any buses and the number of sags per year.
"Impedance Matrix Approach to Stochastic Assessment for Balanced and Unbalanced Voltage Sags on Transmission Networks"
by R. Jeya Gopi, V.K. Ramachandaramurthy, and M.T. Au
in the Proceedings of the International Conference on Power Electronics and Drive Systems, (PEDS) November 2009, pp. 115-120
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of text from the paper cited below that were copied and paraphrased without attribution.
"An Analytical Approach for Stochastic Assessment of Balanced and Unbalanced Voltage Sages in Large Systems"
by Elisa Espinosa Juarez and Araceli Hernandez
in the IEEE Transactions on Power Delivery, Vol 21, No 3, July 2006, pp. 1493-1500
Stochastic assessment is a method to predict the severity and number of voltage sags at a bus of interest in the transmission network system. In this paper, an analytical technique using impedance matrix is developed to predict the voltage magnitudes due to balanced and unbalanced faults at unlimited buses in an electrical network. The proposed technique was applied to an IEEE 24-buses electrical network to illustrate its application. The results show that the proposed technique is able to predict the voltage magnitude at any buses and the number of sags per year.
Keywords
power supply quality; stochastic processes; transmission networks; IEEE 24-buses electrical network; balanced faults; balanced voltage sags; electrical network; impedance matrix approach; stochastic assessment; unbalanced faults; unbalanced voltage sags; Analytical models; Impedance; Monitoring; Power quality; Power system analysis computing; Power system faults; Power system simulation; Stochastic processes; Threshold voltage; Voltage fluctuations; Power quality; balanced and unbalanced fault; component; stochastic methods; voltage sags;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Drive Systems, 2009. PEDS 2009. International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4244-4166-2
Type
conf
DOI
10.1109/PEDS.2009.5385705
Filename
5385705
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