Open AccessA fuzzy approach to the generation expansion planning problem in a multi-objective environment
Author(s) -
A Samir Abass,
Eman Massoud
Publication year - 2007
Publication title -
nuclear technology and radiation protection
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.31
H-Index - 16
eISSN - 1452-8185
pISSN - 1451-3994
DOI - 10.2298/ntrp0701067a
Subject(s) - fuzzy logic , mathematical optimization , computer science , field (mathematics) , electric power system , power (physics) , mathematics , artificial intelligence , pure mathematics , physics , quantum mechanics
In many power system problems, the use of optimization techniques has proved inductive to reducing the costs and losses of the system. A fuzzy multi-objective decision is used for solving power system problems. One of the most important issues in the field of power system engineering is the generation expansion planning problem. In this paper, we use the concepts of membership functions to define a fuzzy decision model for generating an optimal solution for this problem. Solutions obtained by the fuzzy decision theory are always efficient and constitute the best compromise.