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
Link To Document :
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