By Topic

The method of estimating customers harmonic emission level based on bilinear regression

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)
Xiao, X.Y. ; Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China ; Yang, H.G.

In the paper, the statistical methods of customer harmonic emission level are introduced in terms of whether they affect power system running or not, and their advantage and shortages are indicated. The paper principally discusses the method of estimating power customer emission level based on binary linear regression, which make it a condition that harmonic emission is steady at the point of common couple. Combined with system Thevenin equivalent and customer Norton equivalent, according to the least squares method, the voltage that a customers harmonic current at PCC can be estimated in the light of the plural correlation of network parameters. In the end, the correctness of the method is testified by experimental simulation with Matlab.

Published in:

Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

5-8 April 2004