基于量子粒子群算法的船舶电力系统网络重构

船舶电力系统网络重构可以看作为一个多目标、多约束、多时段、离散化的非线性规划最优问题。根据船舶电网结构的特点，提出了运用量子粒子群算法解决重构问题的思想。加入量子粒子群算法的离散化操作，使之能够满足船舶电网重构模型的要求。仿真结果说明该算法能够得出船舶电力系统网络重构的全局最优解，实现了网络重构最优，并且通过相应的算例与其他优化算法进行横向比较的结果也验证了量子粒子群算法有更好的可行性。

Shipboard power system network reconfiguration based on quantum particle swarm optimization algorithm

the network reconfiguration of shipboard power system can be converted to the discrete nonlinear planning optimization problem of multi-target, multi-constrain and multi-period. Aimed at the shipboard power systems, the quantum particle swarm optimization algorithm is presented to address network reconfiguration. Discretization operations are added to meet the requirements of marine power systems. The simulation results prove that the quantum particle swarm optimization can get the global optimum solution of the network reconfiguration. And in the comparison of the same examples with other optimization algorithm, the algorithm is proved to have better feasibility.