Title :
Stochastical and statistical assessment of voltage dips
Author :
Bollen, M.H.J. ; Qader, M.R. ; Allan, R.N.
Author_Institution :
Dept. of Electr. Power Eng., Chalmers Univ. of Technol., Goteborg, Sweden
Abstract :
Short duration voltage dips due to short circuits are generally considered a serious power quality problem. To decide on the suitability of mitigation methods, knowledge is needed about the expected number of dips as a function of magnitude, duration and other characteristics. This knowledge can be obtained through the use of power quality monitors or by means of stochastic prediction methods. In this paper, two methods for the stochastic prediction of voltage dips are presented: the method of fault positions; and the method of critical distances. Both are applied to the same power system and the results are compared
Keywords :
power systems; critical distances method; dip duration; dip magnitude; fault positions method; mitigation methods; power quality; power system voltage dips; statistical assessment; stochastic prediction methods; undervoltage;
Conference_Titel :
Tools and Techniques for Dealing with Uncertainty (Digest No. 1998/200), IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19980068