University of Mohaghegh Ardabili Journal of Hyperstructures 2251-8436 7 Spec. 2nd CSC2017 2018 06 01 A two-stage stochastic optimization based-on monte carlo simulation for maximizing the profitability of a smart microgrid 67 81 2691 10.22098/jhs.2018.2691 EN Mohammad Javad Salehpour Department of Electrical Engineering, University of Guilan, Rasht, Iran Seyed Masoud Moghaddas Tafreshi Department of Electrical Engineering, University of Guilan, Rasht, Iran Journal Article 2018 01 15 In this paper, a two-stage stochastic model for optimizing the profit of a smart microgrid is proposed in which the uncertainty of loads, electricity market price and renewable generation are modeled using developing stochastic scenarios with Monte Carlo simulation method. Also, in order to reduce solving time of optimization problem the number of stochastic scenarios is reduced by Kantorovich distance method. Smart microgrid Two-stage stochastic optimization Monte Carlo simulation Kantorovich distance Uncertainty https://jhs.uma.ac.ir/article_2691_a9dc61ce6b688a30c53c16f43073c74d.pdf