Generation Reliability Evaluation in Power Markets Using Monte Carlo Simulation and Neural Networks

摘要

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.