论文信息 - An analytical approach for stochastic estimation of voltage sags in power systems

An analytical approach for stochastic estimation of voltage sags in power systems

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.

T. Tayjasanant | Le Viet Tien

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