Hybrid Optimization Method for Reconfiguration of AC/DC Microgrids in All-Electric Ships

TL;DR

This paper proposes a hybrid optimization approach combining Newton Raphson and Biogeography based Optimization to improve reconfiguration and power restoration in all-electric ship microgrids, ensuring operational constraints are met.

Contribution

It introduces a novel hybrid optimization method tailored for mixed integer nonlinear programming in shipboard AC/DC microgrid reconfiguration.

Findings

Enhanced power restoration capabilities

Faster convergence compared to traditional methods

Effective handling of operational constraints

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.