A Fuzzy Multi Objective Programming Model For Power Generation and Transmission Expansion Planning Problem

The increasing consumption of electricity over time forces different countries to establish new power plants and transmission lines. there are various crisp single-objective mathematical models in the literature for the long-term power generation and transmission expansion planning to help the decision makers to make more reasonable decisions. but, in practice, most of the parameters associated with the input data, such as forecasted demands for electricity consumption, economic and technical characteristics of new evolving generating and transmission technologies are imprecise (fuzzy) in nature. moreover, making such strategic decisions require considering several objectives simultaneously and applying appropriate multi-objective programming approach to yield several compromise solutions. in this paper, we take into account these main characteristics of the problem in our proposed model. also, the maintenance cost of generation units is modeled in such a way that handles its increasing nature over operating periods. consequently, we propose a new fuzzy multi objective mixed integer linear programming model (fmomilp) for integrated power generation and transmission expansion planning problem. after applying the effective strategies to convert the original fmomilp into an equivalent single objective crisp one, through an illustrative example we show that the results obtained by proposed fuzzy model is more reliable than the crisp one. finally, some concluding remarks are also provided.