Title :
An analytical approach for stochastic estimation of voltage sags in power systems
Author :
Le Viet Tien ; Tayjasanant, Thavatchai
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok
Abstract :
This paper presents a method to determine the area of vulnerability (AOV) of a sensitive load and to estimate the expected sags frequency (ESF) in power systems. Monte Carlo simulation-based approach taking into account the impact of fault positions along lines is used. Voltage sags are analyzed by using short-circuit analysis for balanced and unbalanced faults. In this paper, a generalized algorithm is developed and tested with IEEE 30-bus test system to verify the technique and illustrate its applications.
Keywords :
Monte Carlo methods; fault diagnosis; power supply quality; power systems; stochastic processes; IEEE 30-bus test system; Monte Carlo simulation-based approach; analytical approach; area of vulnerability; balanced faults; expected sags frequency; power systems; short-circuit analysis; stochastic estimation; unbalanced faults; voltage sags; Frequency estimation; Power quality; Power system analysis computing; Power system faults; Power system simulation; Stochastic processes; Stochastic systems; System testing; Threshold voltage; Voltage fluctuations; Monte Carlo simulation; Voltage sags; area of vulnerability; expected sag frequency; short-circuit analysis;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on
Conference_Location :
Krabi
Print_ISBN :
978-1-4244-2101-5
Electronic_ISBN :
978-1-4244-2102-2
DOI :
10.1109/ECTICON.2008.4600607
