Stochastic Assessment of Voltage Sags (Dips): The Method of Fault Positions versus a Monte Carlo Simulation Approach
Paper in proceedings, 2005

Two methods for stochastic assessment of voltage sags are compared. The method of fault positions and a Monte Carlo simulation approach are utilized to stochastically describe the expected sag performance at some sites of a large transmission system. Fault scenarios are created and pseudo measurements are obtained in order to compare stochastic assessment with simulated measurements. It is shown that the method of fault positions cannot be used to predict the performance of a particular year, unless correcting and tuning factors are used to adjust the assessment. Whereas the method of fault positions gives long-term mean values, the Monte Carlo approach provides the complete frequency distribution function of selected sag indices (SARFI-X).

voltage dips

stochastic assessment

Method of fault positions

power quality

voltage sags

Monte Carlo simulation


Gabriel Olguin



Daniel Karlsson

Gothia Power AB


Roberto Chouhy Leborgne

Chalmers, Energy and Environment, Electric Power Engineering

2005 IEEE Russia Power Tech, PowerTech; St. Petersburg; Russian Federation; 27 June 2005 through 30 June 2005

Art. no. 4524564-

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering





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