A Monte Carlo Simulation Approach to the Method of Fault Positions for Stochastic Assessment of Voltage Dips (Sags)

Author

Olguin, G. ; Aedo, M. ; Arias, M. ; Ortiz, A.

Author_Institution

ABB Corp. Res., Vasteras

fYear

2005

fDate

2005

Firstpage

1

Lastpage

6

Abstract

The method of fault positions is briefly introduced and used to assess the dip performance of the IEEE-RTS 24 bus system. A Monte Carlo simulation approach to the method of fault position is used to obtain the expected dip performance of the same test system. Site and system indices are estimated via both methods. The assessments are then compared. It is shown that the Monte Carlo approach provides a better description of the expected dip performance. The method of fault positions gives only long-term mean values, whereas the Monte Carlo approach provides the complete frequency distribution function of the SARFI-X index. Tables and histograms are used to present results

Keywords

Monte Carlo methods; fault location; power supply quality; power system faults; stochastic processes; IEEE-RTS 24 bus system; Monte Carlo simulation approach; SARFI-X index; frequency distribution function; method-of-fault position; stochastic assessment; voltage dip performance; voltage sag; Frequency; Histograms; Monitoring; Monte Carlo methods; Power quality; Power supplies; Stochastic processes; System testing; Threshold voltage; Voltage fluctuations; Monte Carlo simulation; method of fault positions; power quality; stochastic assessment; voltage dips; voltage sags;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1546794

Filename

1546794