By Topic

Generation reliability assessment in power markets using game theory and MCS

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

1 Author(s)
Haroonabadi, H. ; Electr. Dept., Islamic Azad Univ. (IAU), Tehran, Iran

Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In the present research, generation reliability is considered, and a method for its assessment is proposed using Game Theory. Also, due to the stochastic behavior of power markets and generators' forced outages, Monte Carlo Simulation (MCS) is used for reliability evaluation. Generation reliability merely focuses on the interaction between generation complex and load. Therefore, in the research, based on the behavior of players in the market and using game theory, two outcomes are considered: Cooperative and Non-Cooperative outcomes. The proposed method is assessed on IEEE-Reliability Test System with satisfactory results. Loss of Load Expectation (LOLE) is used as the reliability index and it will be shown that generation reliability in cooperative market is better than Non-Cooperative outcome.

Published in:

Power and Energy (PECon), 2010 IEEE International Conference on

Date of Conference:

Nov. 29 2010-Dec. 1 2010