Mendeley
TY  _  JOUR
ID  -  13940909132344680
TI  -  Application of Epsilon Variable-Multi Objective Genetic Algorithm for Multi-Objective Optimal Power Flow with TCSC
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Afzalan E.
AU  -  Joorabian M.
AD  -  دانشگاه شهید چمران اهواز
AD  -  دانشگاه شهید چمران اهواز
Y1  -  2015
PY  -  2015
VL  -  1
IS  -  
SP  -  65
EP  -  72
KW  -  Multi-objective optimal power flow
εV-Multi Objective Genetic Algorithm (εV-MOGA)
thyristor controlled series capacitor (TCSC)
DO  -  
N2  -  This paper ε-multi objective genetic algorithm variable (εV-MOGA) to optimize cost of generation, emission and active power transmission loss of flexible ac transmission systems (FACTS) device-equipped power systems. In the proposed approach, optimal power flow problem is formulated as a multi-objective optimization problem. FACTS devices considered include thyristor controlled series capacitor (TCSC). The proposed approach has been examined and tested on the modified IEEE 57-bus test system. The results obtained from the proposed approach have been compared with those obtained from nondominated sorting genetic algorithm-II, multi-objective differential evolution.
UR  - rimag.ir/en/Article/28113
L1  - rimag.ir/en/Article/Download/28113
ER  -  
