A fuzzy multicriteria generation expansion planning model

Mehmet B. Yildirim, Farnaz G. Nezami, Abu S.M. Masud and Jose L. Ceciliano Meza

International Journal of Multicriteria Decision Making, 2011, vol. 1, issue 2, 133-154

Abstract: In this paper, we present a fuzzy multi-objective model for power generation expansion planning problem with uncertainty in objective functions and demand balance constraints. The purpose of the fuzzy generation expansion model is to determine the optimal generation amount in existing and new generation units and the optimal transmission network, given that decision maker may tolerate some violation in constraints and objective functions. A fuzzy linear programming approach is utilised to transform the multiobjective fuzzy generation expansion model into a linear program. To illustrate the proposed model, a Mexican electric power system case is studied. A comprehensive sensitivity analysis on the impact of different objective functions, environmental impact of different fuel types and changes in demand is done to illustrate the capability of the proposed model.

Keywords: generation expansion planning; GEP; multicriteria optimisation; fuzzy multiobjective optimisation; multicriteria decision making; MCDM; modelling; power generation; uncertainty; constraints; electricity generation; Mexico; electric power; environmental impact; fuel types; demand changes. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=39584 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmcdm:v:1:y:2011:i:2:p:133-154

Access Statistics for this article

More articles in International Journal of Multicriteria Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().