Title :
Generation Reliability Evaluation in Power Markets Using Monte Carlo Simulation and Neural Networks
Author :
Haroonabadi, H. ; Haghifam, M.-R.
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ. (IAU), Islamshahr, Iran
Abstract :
Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability of Perfect Competition, Oligopoly and Monopoly power pool markets are evaluated using Neural Networks. Also, due to the stochastic behavior of power market and generators´ forced outages, Monte Carlo Simulation is used for reliability evaluation. The proposed method is assessed on IEEE-Reliability Test System with satisfactory results. In the case studies, generation reliability indices are evaluated with different reserve margins and various load levels.
Keywords :
Monte Carlo methods; neural nets; power generation reliability; power markets; IEEE-reliability test system; Monte Carlo simulation; electricity supply industry deregulation; generation reliability evaluation; neural networks; power markets; Elasticity; Monopoly; Neural networks; Oligopoly; Power generation; Power generation economics; Power markets; Power system analysis computing; Power system reliability; Stochastic processes; Monte Carlo methods; Neural Networks; Power generation reliability; Power market;
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
DOI :
10.1109/ISAP.2009.5352864
