Reconfiguration in Distribution Network with Distributed Generations Based on the Improved Clonal Genetic Algorithm with Tabu Characteristic

In order to overcome the drawbacks of clonal genetic and ant clony algorithm, this paper presents a hybrid algorithm. First, using the feature of the genetic algorithm of random searching, coding efficiency, we can get high formation initial pheromone distribution of ant colony algorithm. Then, using the feature of the ant clony algorithm of the parallelism positive feedback mechanism, global convergence ability to solve the problem, the results are satisfactory. The proposed algorithm is simulated in the IEEE 33 buses system with distributed generations. The results show that the introduction of the distributed generations increases nodal voltage, and reduces the active network loss.