Stochastic Multiple Objective Electric Generation Expansion Planning

Coit D. W. , Selcuklu S. B. , Chatwattanasiri N., Wattanapongsakorn N.

International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Hua Hin, Thailand, 24 - 27 June 2015 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ecticon.2015.7206942
  • City: Hua Hin
  • Country: Thailand
  • Erciyes University Affiliated: Yes


The Generation Expansion Planning (GEP) problem applies to the expansion of the electricity generation network with new power plant investments. It is a multi-objective optimization problem where the level of uncertainty is very high because of its spatial dimensions and time scale. Therefore, it becomes necessary to introduce in the decision making process a systematic treatment of uncertainty to select the set of non-dominated solutions for the Pareto optimal set. In this paper, we will investigate probabilistic Pareto optimality where the probability that one expectedly non-dominated solution dominates another expectedly non-dominated solution in the Pareto optimal set is calculated.