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

Power market long-term stability: a hybrid MADM/GA comprehensive framework

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)

Summary form only given. Stabilizing the long-term electricity markets by providing new generation resources, is one of the most important challenges that are surfaced to the industry regulators. To deal with this complex problem, this paper proposes a comprehensive multiple attribute decision making (MADM) framework, in which the genetic algorithm (GA) is used to model the investment decisions of the market generation firms. The fitness function of the GA is itself a decentralized optimization problem that simulates the short-term behavior of these profit-oriented firms. A simple fuzzy inference system and an elasticity relation between price and demand represent the power market, as the link among all firms. The framework is augmented by tradeoff/risk analysis to incorporate the effects of the uncertainties. Finally, a realistic case study is presented to show the advantages of the proposed framework

Published in:

Power Engineering Society General Meeting, 2006. IEEE

Date of Conference:

0-0 0

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.