Service restoration study of distribution system with distributed generators based on particle swarm optimization

After the occurrence of fault in a distribution network, the loads get disconnected and are left unsupplied. This paper studies service restoration in distribution network with distributed generation (DG), Proposed a particle swarm algorithm based on two-dimensional depth-coded to solve the service restoration in the event of a large-scale blackout in a distribution network with DG. Pre-fault system using two-dimensional depth-coded, the range of blackout can be obtained quickly. Using depth-first search for Blackout area, renumbered the nodes which in eare of nlackout using two-dimensional depth-coded. According to load the importance to sort in level, and taking into account the adjust ability of distribution genertion, Solved the maximum supply range of DG. Contact switch to be deal with as a distributed generater according its reserve capacity. Finally, particle swarm algorithm for solved the maximum supply range. Particle has a two-dimensional, one expressed as the number of layers to service restoration, another expressed as the serial number of load in its level. To search for the maximum supply range though update the particle position. Numerical results of an IEEE69-bus example. It means the proposed method can solve the service restoration of a distribution system with DG after widespread blackout effectively and with fast convergence speed and strong stability.