Distribution Network Reconfiguration Based on Particle Swarm Optimization with Aging and Challenging Mechanism
To overcome the premature convergence defect due to the particle swarm optimization (PSO) vulnerability to falling into local optima,a new approach applying PSO with aging and challenging mechanism (ACM-PSO) has been introduced for solving nonlinear integer combinatorial optimization problem of distribution network reconfiguration.In ACM-PSO,the mechanism of aging and challenging is adopted,and strategies of leader lifespan adjustment,challenger generation and leadership assessment are designed to improve the convergence of PSO.The reconfiguration results of IEEE16,IEEE33 and IEEE69 testing system show that ACM-PSO not only maintains the rapid convergence of PSO,but also significantly improves the global searching capability and stability.
challenger leadership assessment strategiesaging and challenging mechanism
NETL
NSTL
万方数据
维普
