Cart (Loading....) | Create Account
Close category search window
 

Establishing Harmonic Distortion Level of Distribution Network Based on Stochastic Aggregate Harmonic Load Models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Mau Teng Au ; Electr. & Electron. Eng. Dept., Univ. Tenaga Nasional, Kajang ; Milanovic, J.V.

This paper presents a stochastic aggregate harmonic load (AHL) model built from physical load parameters. Parameters used include nonlinear load composition, diversity factors, and nonlinear load participation in total demand. They are obtained from samples of customer load database of different sectors of customers. The aggregate load modules are developed for harmonic simulation of distribution network using commercially available software. Uncertainties in loading conditions, load composition and aggregate harmonic load parameters are taken into account separately and simultaneously to determine voltage harmonic distortion levels in distribution network. The simulations performed on a large, realistic distribution network using developed AHL modules give realistic voltage distortion levels/ranges. The results of simulations are in agreement with field measurement results

Published in:

Power Delivery, IEEE Transactions on  (Volume:22 ,  Issue: 2 )

Date of Publication:

April 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.