Volume 19, Issue 2 (1-2001)                   jame 2001, 19(2): 19-30 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

G. R. Yousefi and H. Seifi. Induction Motor Electric Parameters Estimation Using Artificial Neural Networkds and its Application in industrial Load Modeling. jame. 2001; 19 (2) :19-30
URL: http://jame.iut.ac.ir/article-1-195-en.html
Abstract:   (4485 Views)
Load modeling is widely used in power system studies. Two types of modeling, namely, static and dynamic, are employed. The current industrial practice is the static modeling. Static modelss are algebraic equations of active and reactive power changes in terms of voltage and frequency deviations. In this paper, a component based on static modeling is employed in which the aggregate model is derived based on the sensitivity coefficients and participation factors of load components. As an induction motor comprises a significant portion of industrial loads, Artificial Neural Network (ANN) is employed to derive its static model readily from nameplate data as accurately as possible.
Keywords: -
Full-Text [PDF 702 kb]   (1139 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/10/25 | Published: 2001/01/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2021 CC BY-NC 4.0 | Journal of Advanced Materials in Engineering (Esteghlal)

Designed & Developed by : Yektaweb