DocumentCode
2739522
Title
Bivariate normal distribution and direct normal distribution on randomly varying harmonic currents
Author
Wang, Li ; Chen, EYu-Ming
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
1
fYear
1998
fDate
14-18 Oct 1998
Firstpage
298
Abstract
This paper presents the comparative results of using both bivariate normal distribution (DND) and direct normal distribution (DND) methods to analyze the sum of injected harmonic currents produced by randomly fluctuating loads. The simulated results of both methods are obtained by using multiple-dimension Monte Carlo integration on hybrid harmonic loads. The Monte Carlo simulation is also employed to justify the obtained results. The simulation results show that both methods result in similar characteristics. However, the DND method is superior to the BND one since it needs only two probabilistic parameters to express the probability density distribution of the magnitude of the sum of the randomly varying harmonic currents
Keywords
Monte Carlo methods; distribution networks; load (electric); normal distribution; power system harmonics; random processes; Monte Carlo simulation; bivariate normal distribution; direct normal distribution; distribution systems; hybrid harmonic loads; injected harmonic currents; multiple-dimension Monte Carlo integration; probabilistic parameters; probability density distribution; randomly fluctuating loads; randomly varying harmonic currents; Employment; Gaussian distribution; Harmonic analysis; Image resolution; Monte Carlo methods; Motor drives; Power system harmonics; Probability density function; Total harmonic distortion; Umbilical cable;
fLanguage
English
Publisher
ieee
Conference_Titel
Harmonics and Quality of Power Proceedings, 1998. Proceedings. 8th International Conference On
Conference_Location
Athens
Print_ISBN
0-7803-5105-3
Type
conf
DOI
10.1109/ICHQP.1998.759903
Filename
759903
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