Title :
Stochastic multiple objective electric Generation Expansion Planning
Author :
Coit, David W. ; Selcuklu, Saltuk ; Chatwattanasiri, Nida ; Wattanapongsakorn, Naruemon
Author_Institution :
Dept. of Ind. & Syst. Eng., State Univ. of New Jersey, Piscataway, NJ, USA
Abstract :
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.
Keywords :
Pareto optimisation; decision making; power generation planning; probability; stochastic processes; stochastic programming; GEP; Pareto optimal set; decision making process; generation electricity network expansion; multiobjective optimization problem; probability; stochastic multiple objective electric generation expansion planning; Linear programming; Mathematical model; Planning; Probabilistic logic; Production; Stochastic processes; Uncertainty; Generation Expansion Planning (GEP); Probabilistic Pareto Optimality; Uncertainty;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on
Conference_Location :
Hua Hin
DOI :
10.1109/ECTICon.2015.7206942
