DocumentCode
725532
Title
Comparison of voltage sags prediction methods in power networks
Author
Zambrano, Xavier ; Hernandez, Araceli ; de Castro, Rosa M. ; Izzeddine, Mohamed
Author_Institution
Dept. of Electr. Eng., Univ. Politec. de Madrid, Madrid, Spain
fYear
2015
fDate
10-13 June 2015
Firstpage
89
Lastpage
94
Abstract
This work aims to make a comparative analysis between two of the most used techniques for estimating voltage sags, the method of fault positions versus the Monte Carlo sampling technique. For the generation of voltage sags events, a short-circuit simulator is implemented with four stochastic input variables: fault rate, fault impedance, fault type, and location.
Keywords
Monte Carlo methods; fault location; power supply quality; short-circuit currents; Monte Carlo sampling technique; fault impedance; fault location; fault positions; fault rate; fault type; power networks; short-circuit simulator; stochastic input variables; voltage sag estimation; voltage sags prediction methods; Estimation; Impedance; Indexes; Monitoring; Monte Carlo methods; Power quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location
Rome
Print_ISBN
978-1-4799-7992-9
Type
conf
DOI
10.1109/EEEIC.2015.7165439
Filename
7165439
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