DocumentCode :
2907131
Title :
Generation Reliability Assessment in Power Market Using Fuzzy Logic and Monte Carlo Simulation
Author :
Haroonabadi, H. ; Haghifam, M. R R
Author_Institution :
Islamic Azad Univ., Islamshahr
fYear :
2007
fDate :
5-8 Nov. 2007
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
Monte Carlo methods; fuzzy logic; fuzzy set theory; power distribution reliability; power generation reliability; power markets; power transmission reliability; IEEE-reliability test system; Monte Carlo simulation; deregulation policy; distribution systems; fuzzy logic; generation reliability assessment; power market; power pool markets; transmission systems; Elasticity; Fuzzy logic; Power generation; Power generation economics; Power markets; Power system analysis computing; Power system economics; Power system modeling; Power system reliability; Stochastic processes; Fuzzy logic; Monte Carlo methods; Power generation reliability; Power market;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
Type :
conf
DOI :
10.1109/ISAP.2007.4441637
Filename :
4441637
Link To Document :
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