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
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;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-7992-9
DOI :
10.1109/EEEIC.2015.7165439
