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

Evaluation of power supply capability in medium voltage distribution networks based on fuzzy theory

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)
Yu Xu ; Dept. of Electron. Sci., Huizhou Univ., Huizhou, China ; Zhi-Ming Chen

Traditional methods for evaluation of power supply capability in medium voltage distribution networks usually need calculations of a number of separated technical indicators, leading to difficulties in overall judgment and quantitative reflection of the actual supply capability of the entire distribution networks. The approximate reasoning and decision-making method of the fuzzy theory are employed in this paper to establish a detailed evaluation model for the power supply capability of the distribution networks. Not only the quantitative results of effecting factors, but also an assessment of the supply capacity of the city's medium voltage networks can be obtained. For validation, the proposed method is applied to the power supply capability evaluation of a southern China city, and the quantitative results of the supply capability are obtained.

Published in:

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on  (Volume:1 )

Date of Conference:

10-13 July 2011

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.