A novel hybrid intelligent network reconfiguration strategy for power system restoration

This paper develops a novel hybrid intelligent method, which is combined Petri Net (PN) model with Ant Colony Optimization (ACO) to solve target network reconfiguration strategy for power system restoration. The target network is firstly modeled by Petri Net (PN) theory. In order to find the shortest restored energized path effectively, the transition rules of PN and the ACO algorithm are integrated elaborately. Finally, the case studies for IEEE 30-bus system as benchmark are applied to demonstrate the validity and effectiveness of the proposed model and method.