摘要
配电网故障恢复重构问题是船舶电力系统中一个多目标、多约束的优化问题,针对当前算法存在配电网故障恢复精度低的缺限,提出了改进粒子群算法的船舶电力系统配电网故障恢复重构策略,首先建立配电网故障恢复重构问题的数学模型,然后采用改进粒子群算法进行求解,最后进行了船舶电力系统配电网故障恢复的仿真实验,结果表明,改进粒子群算法提高了配电网故障恢复重构精度,加快了配电网故障恢复重构速度,而且综合性能要明显优于其它配电网故障恢复重构算法,船舶电力系统具有重要的实际应用价值。
The fault restoration of distribution network reconfiguration problem is a multi-objective optimization problem with multiple constraints, the ship power system, aiming at the limitation of current algorithm of distribution network fault recovery of low precision of the improved particle swarm algorithm was proposed for ship power system distribution network fault restoration strategy, we first establish the mathematical model of distribution network fault restoration the problem, then the improved particle swarm algorithm, finally the simulation experiment, the distribution network fault recovery ship power system. The results show that the improved PSO algorithm improves the fault recovery of distribution network reconfiguration of complex precision, speed up recovery speed of reconstruction of distribution network fault, and to restore the comprehensive performance is better than the other distribution network reconfiguration algorithm fault, ship power system has important practical application value.
出处
《舰船科学技术》
北大核心
2018年第3X期79-81,共3页
Ship Science and Technology
关键词
船舶电力系统
配电网故障
重构算法
数学模型
粒子群算法
ship power system
distribution network fault
reconstruction algorithm
mathematical model
particle swarm optimization algorithm