Auto-drawing Regional Discrete Reconfiguration Algorithm for Distribution Intelligent Network

Abstract

Reconstruction of a distribution network is a complex nonlinear combinatorial optimization problem. This paper presents a technique for the auto-drawing regional discrete reconfiguration algorithm (ARDRA) of distribution intelligent network systems, which is very important for the control, monitor, identification and separation in distribution systems. The integer coding strategy based on the independent regional discrete loop was adopted, and the initial data of distribution network was input, followed by random generation of the effective initial swarm of corresponding scale. The ternary tree, alignment algorithm and power flow calculation was adopted for the ARDRA calculation of effective solutions. The server draws the single line diagram automatically and sends it back to the client, which can be verified by the client. The simulation results based on the IEEE33 node distribution system showed that the active network loss value of the system was decreased obviously, reaching 16.57%. The active power P increased significantly compared with that before the reconfiguration in which the distributed generators were accessed. The proposed algorithm has good optimization performance in solving the problem of distribution network reconfiguration compared with the traditional particle swarm optimization (PSO) and the differential evolution (DE) algorithm.