NSGA-II algorithm for multi-objective generation expansion planning problem

2009 ◽  
Vol 79 (4) ◽  
pp. 622-628 ◽  
Author(s):  
P. Murugan ◽  
S. Kannan ◽  
S. Baskar
2007 ◽  
Vol 22 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Samir Abass ◽  
Eman Massoud

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. .


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