Particle Clonal Genetic Algorithm Using Sequence Coding for Solving Distribution Network Reconfiguration

To handle massive binary-coding infeasible solutions in distribution network reconfiguration, a sequence coding is presented. A loop is a gene and the switch sequence in the loop is the gene value. To resolve mutation probability and slow later-period convergence in clonal genetic algorithm(CGA), particle clonal genetic algorithm(PCGA) is proposed. It builds particle swarm algorithm(PSO) mutation operator, and makes up premature convergence of PSO and blindness of CGA. It ensures evolution direction and range based on historical records and swarm records. Global optimal solution is found with fewer generations and shorter searching time. IEEE69 example shows that the method can save calculation time and promote search efficiency obviously.