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Stochastic Assessment of Voltage Sags (Dips): The Method of Fault Positions versus a Monte Carlo Simulation Approach

Gabriel Olguin ; Daniel Karlsson ; Roberto Chouhy Leborgne (Institutionen för energi och miljö, Elteknik)
2005 IEEE Russia Power Tech, PowerTech; St. Petersburg; Russian Federation; 27 June 2005 through 30 June 2005 p. Art. no. 4524564. (2005)
[Konferensbidrag, refereegranskat]

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).

Nyckelord: Method of fault positions, Monte Carlo simulation, power quality, stochastic assessment, voltage dips, voltage sags



Denna post skapades 2006-10-26. Senast ändrad 2016-08-15.
CPL Pubid: 22925

 

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Institutioner (Chalmers)

Institutionen för energi och miljö, Elteknik

Ämnesområden

Elkraftteknik

Chalmers infrastruktur