Distribution Network Reconfiguration Based on Multi-Objective Chaotic Fractional Niche Binary Particle Swarm Algorithm
A distribution network reconfiguration strategy based on an improved binary particle swarm algorithm is proposed to improve the reliability of the distribution system while reducing power losses.To overcome the premature convergence problem of a single particle swarm algorithm,binary functions and chaotic sequences are used to define the position information and velocity information of the parti-cles,respectively.The weighted Hamming distance is redefined to divide the particle swarm into different small habitat groups according to the order of distribution network switch positions.The particle swarms are initialized by correcting the infeasible solutions in the iterative process,thus avoiding the generation of infeasible solutions.Meanwhile,in order to reduce the active power loss and improve the voltage profile of the network system,the multi-objective chaotic fractional small habitat binary particle swarm algorithm is utilized to reconfigure the distribution network.The effectiveness of the proposed method is verified by experiments in an IEEE 33-node power distribution sys-tem.The experimental results show that the proposed method is more effective and stable compared to the existing methods.
electrical distribution networkself-healingsystem reconfigurationniche particle swarmactive power losses
万方数据
维普
