The invention relates to a ship power supply
system fault
reconstruction method based on genetic particle swarm
hybrid optimization, and the method comprises the steps: building a
simulation model based on a typical annular structure of a ship power
supply network, and enabling the structure of the ship power
supply network to cover a plurality of generators and different levels of power loads; normal and
standby power supply lines are adopted to ensure the flexibility and redundancy of the
system, priority
ranking is performed on loads, and the continuity of key loads is ensured through dual-path power supply; according to the ship power
supply network fault
reconstruction method,
branch faults or generator faults can be simulated, an improved self-adaptive
hybrid genetic
particle swarm algorithm is integrated into an established
simulation model, a potential solution in a ship power supply network fault
reconstruction problem serves as particles, an optimal post-fault configuration scheme is obtained, and
network topology structure reconstruction after
fault handling is completed. On the basis of being compatible with a traditional intelligent
algorithm, the method has the advantages of being high in convergence speed, high in precision, high in stability and capable of achieving multi-node collaborative optimization. The method can be applied to research issues such as ship power
system fault reconstruction monitoring, intelligent
algorithm optimization, fault diagnosis and positioning and the like.