DocumentCode :
3602527
Title :
Evaluating harmonic voltage distortion in load-variating unbalanced networks using Monte Carlo simulations
Author :
Melqui?Œ??ades Silva, Ma?Œ??rcio ; Losada y Gonzalez, Manuel ; Uturbey, Wadaed ; Carrano, Eduardo G. ; Rocha Silva, Sele?Œâ€?nio
Author_Institution :
Grad. Program in Electr. Eng., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
Volume :
9
Issue :
9
fYear :
2015
Firstpage :
855
Lastpage :
865
Abstract :
This study presents a new methodology for modelling and handling with aggregated harmonic loads and linear loads in the harmonic power flow analysis. This method, so-called variable load method, can be used in balanced and unbalanced systems and for deterministic and stochastic studies. The main types of harmonic loads and their participation coefficients inside the facility are estimated by inspection or based on usual values. In addition, a new type of load model that represents the load variation and minor loads is also defined based on field measurements, in order to build a more adherent harmonic load representation. A stochastic analysis, based on Monte Carlo simulations, is also performed. This sequence of steps makes possible to evaluate if the harmonic distortion has a significant probability of exceeding the limits set by standards because of load variations. This analysis is performed jointly with the bootstrapping method for obtaining the probability density functions of the voltage harmonic distortions. Tests on a real plant show that the proposed approach is able to represent measured data with high precision.
Keywords :
Monte Carlo methods; harmonic distortion; load flow; Monte Carlo simulations; aggregated harmonic loads; bootstrapping method; field measurements; harmonic load representation; harmonic power flow analysis; harmonic voltage distortion evaluation; linear loads; load variation; load-variating unbalanced networks; probability density functions; stochastic analysis; variable load method;
fLanguage :
English
Journal_Title :
Generation, Transmission Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2014.0787
Filename :
7112859
Link To Document :
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