Genetic Algorithm Based Damage Control for Shipboard Power Systems

The work presented in this paper was concerned with the implementation of a damage control method for U.S. Navy shipboard power systems. In recent years, the Navy has been seeking an automated damage control and power system management approach for future reconfigurable shipboard power systems. This paper presents a dynamic formulation and a static implementation of a new damage control method at the DC zonal integrated fight through power system level. The method used a constrained binary genetic algorithm to find an optimal network configuration. System operating limits act as constraints in the static damage control implementation. Off-line studies were conducted using an example power system modeled in PSCAD to evaluate the effectiveness of the damage control method. The simulation results for case studies showed that, in most cases, the proposed damage algorithm was able to rind the optimal network configuration that restores the power system network without violating the power system operating constraints.