Attractive and Repulsive Particle Swarm Optimization and Random Virus Algorithm for Solving Reactive Power Optimization Problem

Reactive Power Optimization is a complex combinatorial optimization problem involving non-linear function having multiple local minima, non-linear and discontinuous constrains. This paper presents Attractive and repulsive Particle Swarm Optimization (ARPSO) and Random Virus Algorithm (RVA) in trying to overcome the Problem of premature convergence. RVA and ARPSO is applied to Reactive Power Optimization problem and isevaluated on standard IEEE 30Bus System. The results show that RVA prevents prematureconvergence to high degree but still keeps a rapid convergence. It gives best solution whencompared to Attractive and repulsive Particle Swarm Optimization (ARPSO) and Particle Swarm Optimization (PSO).

Keywords:

Attractive and repulsive , particle Swarm , random virus algorithm , Reactive Power Optimization