Intelligent Real-time Fault Restoration of the Large Shipboard Power System Based on Genetic Algorithm

The shipboard power system (SPS) supply energy to sophisticated systems for weapons, communications, navigation and operation. So when the system is damaged, the faults should be isolated and restored immediately to ensure the system survivability. Currently the genetic algorithm (GA) is successfully used to SPS fault restoration and the superiority over the other methods is proved, but the simple GA is difficult to achieve the real-time maximum restoration. This paper provides an improved genetic algorithm, which can fully use the system information and the evolution information, improve speed of convergence of genetic algorithm, and avoid premature convergence. RTDS fault restoration experiments show that the restoration algorithm based on the improved genetic algorithm can restore the fault in real time.