Reactive Power Optimization for distribution systems based on Dual Population Ant Colony Optimization

The dual population ant colony optimization (DPACO) was tried to be applied to power system dynamic reactive power optimization. The installation positions of capacitors were taken as obstacles, the capacities of capacitors installed were taken as the paths through which the ants climb over the obstacles and the mathematical models of the reactive power planning under the multiple load state were adopted. In running process, the pheromone was adjusted according to the antpsilas search results and the principle of pheromone modification and the convergence speed was fastened. At the same time, the dual population ant colony optimization (DPACO) avoided trapping in local optimum and increased the precision of reactive power optimization for doing well in global optimization. After optimization, the voltage quality was enhanced obviously and comprehensive fees decrease significantly. The running results show that dual population ant colony optimization (DPACO) applied to power system dynamic reactive power optimization is feasible and effective.