基于改进遗传算法的舰船电力系统网络重构

为了解决舰船电力系统发生多重故障时供电恢复问题,本文改进了遗传算法,通过采用最优保留的选择机制和自适应交叉、变异概率,有效地加快了算法的收敛速度.而综合考虑适应值和相似度的适应度选取,保证了种群选择的多样性,和现有的算法相比,改进效果是明显的.为检验重构方案是否满足约束条件限制,本文提出了更为简便、快捷的基于线路、负荷相关性的方法.舰船电力系统典型故障恢复算例表明,改进的遗传算法有效提高了供电恢复的速度及精度,避免了不成熟收敛.

Network Reconfiguration of Shipboard Power System Based on Improved Genetic Arithmetic

To restore power supply to the faulted sections of the shipboard power system (SPS),this paper improves genetic arithmetic. Convergence rate of arithmetic is accelerated using elitist preserved tactics, adaptive, crossover and adaptive mutation. The population is diversified using a new select method based on both similarity and fitness. Compared with existing methods, the arithmetic is considerably improved. To check reconfiguration scheme under certain constraints, this paper proposes a simpler and faster method based on relationship between lines and loads. The proposed approach is illustrated with typical SPS fault restoration tests .The results show that the improved genetic arithmetic can improve speed of convergence and precision of restoration and avoid premature convergence.