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A new model to evaluate the dynamic adaptation of an electric distribution system

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  • Garcia, E.
  • Schweickardt, G.
  • Andreoni, A.

Abstract

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.

Suggested Citation

  • Garcia, E. & Schweickardt, G. & Andreoni, A., 2008. "A new model to evaluate the dynamic adaptation of an electric distribution system," Energy Economics, Elsevier, vol. 30(4), pages 1648-1658, July.
    • Handle: RePEc:eee:eneeco:v:30:y:2008:i:4:p:1648-1658
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Daniel F. Spulber, 1989. "Regulation and Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262192756, April.
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    1. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    2. Ahadi, Pedram & Fakhrabadi, Farbod & Pourshaghaghy, Alireza & Kowsary, Farshad, 2023. "Optimal site selection for a solar power plant in Iran via the Analytic Hierarchy Process (AHP)," Renewable Energy, Elsevier, vol. 215(C).
    3. Wang, Bing & Kocaoglu, Dundar F. & Daim, Tugrul U. & Yang, Jiting, 2010. "A decision model for energy resource selection in China," Energy Policy, Elsevier, vol. 38(11), pages 7130-7141, November.

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