Title of article :
SVC MULTI-OBJECTIVE VAR PLANNING USING SFL
Author/Authors :
Sayedi، Eiman نويسنده , , Maghfoori Farsangi، Maliheh نويسنده , , Barati، Mohammad نويسنده , , Nezamabadipour، Hossein نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Abstract :
In this paper, Shuffled frog leaping (SFL)
algorithm is used for VAr planning with the Static Var
Compensators (SVC) in a large-scale power system. To
enhance voltage stability, planning problem is formulated
as a multiobjective optimization problem for maximizing
fuzzy performance indices. The multi-objective VAr
planning problem is solved by the fuzzy SFL and the
results are compared with those obtained by the Particle
Swarm Optimization (PSO) and Genetic Algorithm (GA).
Journal title :
International Journal on Technical and Physical Problems of Engineering (IJTPE)
Journal title :
International Journal on Technical and Physical Problems of Engineering (IJTPE)