DocumentCode :
3197785
Title :
Prediction of voltage sag in the transmission system of Vietnam, A case study
Author :
Khanh, Bach Quoc ; Phuc, Nguyen Hong
Author_Institution :
Electr. Power Syst. Dept., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
fYear :
2011
fDate :
20-23 March 2011
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, a novel effort for prediction of voltage sag in the entire transmission system of Vietnam is presented. As the Vietnamese electricity industry moves toward the electricity market, prediction will help utilities have early assessment of power quality in transmission system. The proposed prediction approach uses a fault position method in which the fault distribution in the transmission system is created based on an actual fault occurrence in the entire 220kV and 500kV transmission system throughout Vietnam that took place in 2008. The research also makes use of the SARFICURVE with ITIC and SEMI curve, which takes into account of the actual fault clearing time of protective devices used in transmission system in Vietnam. By using SARFICURVE, a better assessment of voltage sag performance is obtained in the transmission system with regard to load´s voltage tolerance.
Keywords :
power markets; power supply quality; power transmission faults; power transmission protection; Vietnam; electricity industry; electricity market; fault distribution; fault position method; power quality; protective device; transmission system; voltage 220 kV; voltage sag; Circuit faults; Integrated circuit modeling; Load modeling; Power quality; Substations; Voltage fluctuations; Voltage measurement; ITIC; SEMI curve; fault clearing time; fault distribution; power quality; stochastic prediction; transmission system; voltage sag frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-61284-789-4
Electronic_ISBN :
978-1-61284-787-0
Type :
conf
DOI :
10.1109/PSCE.2011.5772581
Filename :
5772581
Link To Document :
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