DocumentCode :
2834623
Title :
Evaluating the risk of equipment disruption related to voltage sags
Author :
Kagan, N. ; Matsuo, N.M. ; Vasconcelos, G. ; Castellano, U. ; Cebrian, J.C. ; Camilo, L.M. ; Duarte, S.X. ; Arango, H. ; Bernartelli, W.H. ; Marsulo, J.A.
Author_Institution :
Sao Paulo Univ., Brazil
fYear :
2004
fDate :
12-15 Sept. 2004
Firstpage :
379
Lastpage :
384
Abstract :
This paper presents a methodology for risk analysis applied to voltage sags in distribution networks. The basis of the methodology is presented, as well as the description of its implementation. Two evaluations are performed for a given distribution network: frequency of occurrence of voltage sags and the impact of the voltage sags on customer loads in statistical basis. Fault events are simulated using the Monte Carlo method, in which variables related to faults are determined according to their probability distributions. The magnitude and the duration of voltage sags and occurrence of interruptions are determined in the network points by considering the fault conditions and the line overcurrent protection devices characteristics. The results presented are indices of sag events and equipment breakdown for any desired voltage tolerance curves, which allows mapping the network in respect to risk, associated to sag events. The emphasis of the studies lies upon the practical questions that appear when industries already installed or planning installation are faced with decisions which are influenced by the rate of occurrence of voltage sags.
Keywords :
Monte Carlo methods; equipment evaluation; overcurrent protection; power distribution faults; power distribution planning; power supply quality; risk analysis; statistical distributions; stochastic systems; Monte Carlo method; distribution networks; equipment breakdown; equipment disruption evaluation; line overcurrent protection; power quality assessment; probability distributions; risk analysis; stochastic method; voltage sags; voltage tolerance curves; Breakdown voltage; Circuit faults; Discrete event simulation; Impedance; Industrial economics; Power quality; Probability distribution; Production; Protection; Risk analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Harmonics and Quality of Power, 2004. 11th International Conference on
Print_ISBN :
0-7803-8746-5
Type :
conf
DOI :
10.1109/ICHQP.2004.1409385
Filename :
1409385
Link To Document :
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