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

Environmental Transmission Expansion Planning using non-linear programming and evolutionary techniques

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)
Correa, C.A. ; Dept. of Electr. Eng., Univ. De La Salle, Bogota, Colombia ; Bolanos, R.A. ; Garces, A.

Current energy consumption has led to an increase in the use of fossil fuels to generate electricity, which in turn produces negative impacts on the environment. Studies show that demand will continue growing and new schemes for generating power and managing resources should be developed. In the case of the transmission network, some constraints may lead to use plants with high emission levels, and therefore, appropriate planning is key to minimize environmental impact. This work proposes a methodology for solving the Transmission Expansion Planning Problem (TEPP) when emissions of CO2 are considered. The result is an investment plan that leads to the lowest level of emissions by means of a Chu-Beasley Genetic Algorithm (CBGA). An improvement step is carried in the CBGA in order to minimize also the cost of the plan. Non-linear Interior Point Method (NLIPM) is used to generate the initial population and Linear (LIPM) is used to solve the operative problem in the evolutionary process. The approach is validated using the IEEE-24 bus system in order to show its effectiveness.

Published in:

Alternative Energies and Energy Quality (SIFAE), 2012 IEEE International Symposium on

Date of Conference:

25-26 Oct. 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.