A probabilistic, emission and economic dispatch model considering renewable energy, demand and generator uncertainties: A real application

In this paper a multi-objective probabilistic dispatch model is proposed. Fuel thermal units, photovoltaic arrays and wind turbines are considered. The unavailability factors are taken into account. The solution strategy is based on the Monte-Carlo method and a ε-constrained optimization algorithm. The proposed methodology is applied to the Northern Chilean electrical system. The results involve: cluster analysis, multidimensional probabilities and descriptive statistic techniques of emissions, power generations, load shedding, marginal costs.