A new model to evaluate the dynamic adaptation of an electric distribution system
The main objective of this paper is to present a model developed to evaluate the Dynamic Adaptation of an Electric Energy Distribution System respecting 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 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 Analytic 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.
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- R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages B141-B164, December.
- Daniel F. Spulber, 1989. "Regulation and Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262192756, August.
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