Capacitors Optimization Placement in Distribution Systems Based on Improved Seeker Optimization Algorithm

An improved seeker optimization algorithm (SOA) was proposed for capacitors optimization configuration in distribution network in this paper, which was a classical non-linear discrete problem. To aim at the flaws of traditional SOA that it was easy to fall into the local extremum in later stage of optimization process, Simulated Annealing (SA) algorithm was introduced by setting the Boltzmann simulated annealing operator to select a new solution to enhance the global search ability of the algorithm. In addition, search steplength was adjusted using automatic adjustment factor so that non-linear discrete problem can be solved better. Considering the economy as the desired aim function, and power flow, voltage level, and as well as capacitors capacities as the constraints, thus a corresponding mathematical model was established for distribution grid capacitors optimization. Finally, the simulation results for IEEE 33-node distribution system show that the improved SOA is very effective and feasible, and is a quite ideal swarm intelligence algorithm. Copyright © 2013 IFSA.