TY  - JOUR
T1  - Attractive and Repulsive Particle Swarm Optimization for Reactive Power Optimization
AU - , K. Lenin AU - , M.R. Mohan 
JO  - Journal of Engineering and Applied Sciences
VL  - 1
IS  - 4
SP  - 288
EP  - 292
PY  - 2006
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2006.288.292
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2006.288.292
KW  - Attractive and repulsive
KW  -particle swarm
KW  -reactive power optimization
AB  - Reactive Power Optimization is a complex combinatorial optimization problem involving non-linear function having multiple local minima, non-linear and discontinuous constrains.  This study presents  Attractive and repulsive Particle Swarm Optimization (ARPSO) in trying to overcome the Problem of premature convergence. ARPSO is applied to Reactive Power Optimization problem and is evaluated on standard IEEE 30Bus System. The results show that ARPSO prevents premature convergence to high degree but still keeps a rapid convergence.  It gives best solution when compared to Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).
ER  -