Title: Hybrid Optimization Method for Reconfiguration of AC/DC Microgrids in All-Electric Ships,
Abstract: Since the limited power capacity, finite inertia, and dynamic loads make the
shipboard power system (SPS) vulnerable, the automatic reconfiguration for
failure recovery in SPS is an extremely significant but still challenging
problem. It is not only required to operate accurately and optimally, but also
to satisfy operating constraints. In this paper, we consider the
reconfiguration optimization for hybrid AC/DC microgrids in all-electric ships.
Firstly, the multi-zone medium voltage DC (MVDC) SPS model is presented. In
this model, the DC power flow for reconfiguration and a generalized AC/DC
converter are modeled for accurate reconfiguration. Secondly, since this
problem is mixed integer nonlinear programming (MINLP), a hybrid method based
on Newton Raphson and Biogeography based Optimization (NRBBO) is designed
according to the characteristics of system, loads, and faults. This method
facilitates to maximize the weighted load restoration while satisfying
operating constraints. Finally, the simulation results demonstrate this method
has advantages in terms of power restoration and convergence speed.