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

A Chance-Constrained Programming Based Renewable Resources Included Generation Expansion Planning Method and Its Application

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

3 Author(s)
Sun Yingyun ; State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China ; Han Tao ; Ashfaq, A.

Traditional generation expansion planning is based on the principle of certainty and not suitable for renewable energy resources (RES) included planning. The paper proposed a chance-constrained programming model to deal with the uncertainty caused by RES, and a simulation-base PSO algorithm is adopted to solve the model. The model and algorithm is used in an actual case which lie in the west of China, and the results show the effectiveness of the model and algorithm.

Published in:

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Date of Conference:

27-29 March 2012

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.