Economically Adapted Power Distribution System Considering the Decision-Making Activities Using Analytical Hierarchy Process

This work presents a model developed to evaluate the dynamic adaptation of an electric energy distribution system (EEDS) respect to its planning for a given period of tariff control. The model is based on a two-stage strategy that deals with the mid/short-term and long-term planning, respectively. The starting point for modeling is brought about by the results from a multi-attribute method based on fuzzy dynamic programming and on analytic hierarchy processes (FDP + AHP) for a mid/short-term horizon. Such a method produces a set of possible evolution trajectories which can be defined as satisfactory when they evolve above a given risk threshold that the planner is willing to accept. Then, the decision-making activities within the framework of the analytical hierarchy processes are those tasks that allow defining a vector for dynamic adaptation of the system, which is directly associated to an eventual series of imbalances that take place during its evolution