Reconfiguration of network skeleton based on discrete particle-swann optimization for black-start restoration

The black start restoration of a power system after a complete blackout is a very important issue to safety of the power system. The reasonable network reconfiguration strategy is necessary for establishing the main network and restoring loads as soon as possible. A skeleton-network reconfiguration strategy is proposed in this paper. Through determining the skeleton network, the burden of network reconfiguration can be reduced effectively. The reconstructing processes are evaluated by a comprehensive index of network reconfiguration efficiency. Furthermore, discrete particle-swarm optimization is employed in reconstructing network skeleton and several relatively-optimal schemes can be obtained as the guidance of the system restoration. Application to the IEEE 30-bus power system shows that reconfiguration schemes derived from the strategy are effective under uncertain system situations and ensure that the following restoration be successful.