Application of fuzzy Q-learning for electricity market modeling by considering renewable power penetration

摘要: Abstract By increasing renewable resource penetration, the need for developing fast and reliable market modeling approaches in presence of these resources has gained greater attention. In this paper, fuzzy Q-learning approach is proposed hour-ahead electricity resources. The implemented on IEEE 30-bus test system. effectiveness evaluated compared with both normal stressful cases. Simulation results indicate that able to model a range continuous multidimensional power penetration considerably less iterations approach. Moreover, probability finding Nash equilibrium becoming higher by using approach, while other indices such as average social welfare, locational marginal prices (LMPs), standard deviation LMPs do not change considerably.