This paper presents a novel distributed reconfiguration strategy to enable the secure and reliable operation of the zonal shipboard power system (SPS). To adapt to the latest distributed control structure, the proposed strategy features two levels of reconfiguration: zonal reconfiguration and global reconfiguration. An extended hybrid model of SPS is first developed to accurately capture the interactions between the discrete events and the continuously evolving system dynamics involved in the reconfiguration process. The concept of zonal and global reconfigurability is then proposed along with the evaluation criteria to examine if the system can be reconfigured to return to steady-state operation. Provided that the SPS is reconfigurable, executable algorithms are proposed to determine the optimal sequence of operation events for both zonal and global reconfiguration. To evaluate the performance of the proposed strategy, four case studies are presented in which a four-zone SPS is faced with multiple random faults and requires reconfiguration. Simulation results demonstrate that the proposed reconfiguration strategy outperformed previous algorithms in examining the reconfigurability of the system and determining the optimal reconfiguration solution.

With the rapid development of the economy and power electronics, permanent magnet synchronous motor (PMSM) is widely used in various fields, vigorously promoting the development of China’s equipment manufacturing industry in the era, and the related topics have become a hot topic nowadays. However, permanent magnet synchronous motor control systems are characterized by non-linearity and time-varying parameters, which pose a threat to the reliability of practical engineering applications. Based on this, this paper combines an improved grey wolf optimization (GWO) algorithm with a PID controller to establish a general model of a permanent magnet synchronous motor speed control system, including control, drive and feedback modules, to achieve accurate control of the running speed of a permanent magnet synchronous motor. Finally, the simulation model of space vector pulse width modulation (SVPWM) based system is built by MATLAB/SIMULINK, and the simulation and analysis of corresponding parameters are completed given a definite input signal.