Optimal Mixture of Electricity Production Under Uncertainty: Case of Western Azerbaijan Province

In recent years, optimal use of fossil fuels, reduction of environmental pollution and exploitation of renewable energy is one of the most important issues in the policies of different countries, and as you know, Iranchr('39')s electricity industry is dependent on fossil fuel consumption strongly, which causes environmental pollution. The aim of this study is to obtain the optimal combination of electricity production plants in despite the uncertainties in the required components in decision making, in order to minimize environmental pollution and production costs. In this study, two-stage stochastic programming and interval parameter linear programming have been used to minimize uncertainty in electricity generation planning and fossil energy consumption. From one side, stochastic programming with considering different scenarios and from another side interval parameter instead of pointwise data minimize uncertainty in this study. Also, in obtaining the results, the data of the electricity industry report of West Azerbaijan province in 1394, 1395 and 1396 have been used. The results of this study show that the amount of production of combined cycle power plants and hydropower plant in this province is less than the optimal amount, And the amount of gas power plantchr('39')s production in this province is more than the optimal amount. It is also necessary to plan for the development of capacity in the Khoi Combined Cycle Power Plant.