Shipboard Power System Restoration Using Binary Particle Swarm Optimization

Abstract

The electric shipboard power system is of utmost concern for US navy as it provides energy to advanced systems for weapons, communications and navigation. There can be faults in a shipboard power system (SPS), which may interrupt the supply of electrical energy to loads including some parts that are not faulted or damaged. As a result, reconfiguration and if necessary, possible load shedding, is required to restore the ship to near pre-fault condition for proper functioning. In this paper, graph theory has been applied to represent the shipboard power system and all possible islands formed due to the fault are found with their load and generation capacities along that path. Then binary particle swarm optimization is applied to optimally reconfigure the set of loads satisfying the operational requirements and priorities of load. The proposed method is applied to 8-bus shipboard power system model and it can be extended to bigger systems with more constraints as future work.