By Topic

Generation Reliability Assessment in Power Market Using Fuzzy Logic and Monte Carlo Simulation

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)
Haroonabadi, H. ; Islamic Azad Univ., Islamshahr ; Haghifam, M.-R.

Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment using fuzzy logic is proposed. Monte Carlo simulation is used for reliability evaluation. Since generation reliability, merely focuses on interaction between generation complex and load, therefore in this paper, transmission and distribution systems are considered reliable. In this research, based on market type and its concentration, a fuzzy logic is proposed for modeling the market which is valid for all kinds of power pool markets. The proposed method is assessed on IEEE-reliability test system with satisfactory results. In all case studies, generation reliability indices are evaluated with different reserve margins and various load levels.

Published in:

Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on

Date of Conference:

5-8 Nov. 2007