Stochastic multiple objective electric Generation Expansion Planning

Conference proceedings article

Authors/Editors

Strategic Research Themes

No matching items found.

Publication Details

Author list: Coit D.W., Selcuklu S., Chatwattanasiri N., Wattanapongsakorn N.

Publisher: Hindawi

Publication year: 2015

ISBN: 9781479979608

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956970073&doi=10.1109%2fECTICon.2015.7206942&partnerID=40&md5=0284d75ba1c38daf1f09faf14a7a5bb3

Languages: English-Great Britain (EN-GB)

View on publisher site

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. ฉ 2015 IEEE.

Keywords

Generation Expansion Planning (GEP), Probabilistic Pareto Optimality