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Multi-sources energy plants location using goal-programming and flow control analysis approach

This paper deals with optimizing the location of multi-sources power plants, using renewable energies, based on a given statistical data and satisfying economic, environmental and social criteria. In the classical version of the goal-programming model, the different types of plants should be located in order to minimize the total deviations from predefined goals; keeping in mind that the parameters are place dependent. However, this paper shows that relaxing the constraints leads to more feasible solutions and improves some criteria. We introduce place-dependent parameters for placing the different power plants. Since different types of plants can be positioned in each location, we combined the goal-programming model with a flow control approach to evaluate the location frequencies distribution of power plants to each position in order to identify a characteristic energy map. The obtained results are based on numerical experiments inspired from the literature. The results show the effectiveness and the efficiency of the proposed approach.