DocumentCode :
2159957
Title :
A simplified solution for bi-dimensional random-walks and its application to power quality related problems
Author :
Cavallini, A. ; Montanari, G.C.
Author_Institution :
Ferrara Univ., Italy
Volume :
2
fYear :
1995
fDate :
8-12 Oct 1995
Firstpage :
1125
Abstract :
In this paper, the random-walk approach is applied to the vectorial sum of harmonic currents injected in a network by distorting loads. It is shown that for stochastically independent vectors the joint distribution of the orthogonal components can be analytically expressed by multinormal probability density functions. Therefore, the determination of the resultant magnitude distribution would require an infinite sum of modified Bessel functions. In order to solve this problem, an approximate analytical solution, which shows good accuracy even when the number of connected loads is not large, is derived and discussed. The expressions presented can be usefully applied to power-quality related problems, such as compensation-system design, and can provide guidance for establishing standard limits to harmonic pollution
Keywords :
Bessel functions; harmonic distortion; power supply quality; power system harmonics; probability; random processes; bi-dimensional random-walks; compensation-system design; connected loads; harmonic currents injection; harmonic pollution limits; magnitude distribution; modified Bessel functions; multinormal probability density functions; power quality related problems; stochastically independent vectors; vectorial sum; Acoustic distortion; Acoustical engineering; Density functional theory; Harmonic distortion; Independent component analysis; Physics; Pollution; Power quality; Power system harmonics; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location :
Orlando, FL
ISSN :
0197-2618
Print_ISBN :
0-7803-3008-0
Type :
conf
DOI :
10.1109/IAS.1995.530427
Filename :
530427
Link To Document :
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