Stochastic Multiple Objective Electric Generation Expansion Planning
International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Hua Hin, Tayland, 24 - 27 Haziran 2015, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/ecticon.2015.7206942
- Basıldığı Şehir: Hua Hin
- Basıldığı Ülke: Tayland
- Anahtar Kelimeler: Uncertainty, Generation Expansion Planning (GEP), Probabilistic Pareto Optimality
- Erciyes Üniversitesi Adresli: Evet
Özet
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.